The LeanScale Podcast · Episode 76

Your Marketing Playbook Is Dead

Leysan Zigangirova (CMO, Async) on marketing AI products, getting visible inside LLMs, and surviving the Podcastle → Async rebrand

Leysan Zigangirova · CMO, Async (formerly Podcastle) · Async Hosted by Anthony Enrico
Published Updated 00:41:46 33 min read 6,573 words
Executive Summary

The one-paragraph brief, extended

Why this conversation matters — and who should spend the hour.

Leysan Zigangirova spent fifteen years building a marketing playbook — Microsoft, then CMO of Yandex Cloud (Russia's version of AWS) by the age of thirty, then leading marketing for Yandex's open-source portfolio. When she joined Async — the AI video and voice platform the market still knew as Podcastle — she threw most of that playbook out. This conversation with LeanScale co-founder Anthony Enrico is a candid, unusually concrete tour of what actually works for marketing AI products in 2026, and what it feels like to relearn your craft while the product changes underneath you.

Her core claim is that the two channels that carried software marketing for a decade — performance marketing and SEO — are no longer the default growth engines for AI products. The reason is demand: with genuinely new AI capabilities, consumers don't yet know what to search for, so you can't capture demand you have to create it. The winning move is to show the magic — social video on Instagram, TikTok, and YouTube that demonstrates the output — rather than writing long documentation and hoping SEO surfaces it. The second emerging channel is the models themselves: making your product visible inside ChatGPT and Claude, which people increasingly use as their search engine.

Leysan is practical about how to earn that LLM visibility. Write intent-based, 'how-to' content built around how a real user would search; expect longer formats (she cites a rough 30,000-character bar); and invest in the forums the models actually read. Per a16z research she references, Reddit is the number-one source LLMs pull from — so stand up a branded subreddit and, more importantly, engage genuinely in relevant communities, helping people rather than spamming them. Her rule for every channel is the same: be authentic, be helpful, and attention comes organically; the moment a consumer feels you're pulling the wool over their eyes, you've damaged trust and the investment backfires. She frames the deeper trap of the moment as chasing growth without delivering value — when the durable way to hit a growth KPI is to figure out how much value you have to create to earn it.

The middle of the episode is a raw account of rebranding Podcastle into Async — her third rebrand, and, she says, the hardest thing a marketer ever does. It was existential, not cosmetic: the company had started as an audio/podcasting platform with its own voice model, video was booming (Kling, Sora, Nano Banana), and staying in the narrow audio market meant being 'dead in two years.' The rebrand was a complete repositioning — a chat-based AI video editor plus a developer API for voice agents, serving both creators and developers. She walks through the rollout (decide in September, warn loyal users in November, switch the domain silently in January, then announce), the internal emotional resistance from a team attached to the Podcastle name, and roughly two months of declining traffic, leads, and revenue — lost branded traffic and SEO rankings — before recovery began. Her honest test: rebrand only when it's existential, because you're signing up for months of pain and need a long game.

The final act is her move from big tech to a startup, and the advice inside it for both operators and the CEOs who hire them. Autonomy and impact are the payoff — in a startup everything you do or don't do immediately shows up in the numbers, versus the 'synthetic metrics' she remembers at Microsoft. But the shift is real: tiny budgets, a team a third the size, no pre-built processes, and ruthless prioritization at speed. When she asked her CEO why he hired someone from a corporate background, he named three things: the ability to be hands-on (even C-level executives do the work themselves), courage to make decisions personally, and agility with constant change. What corporate talent brings back is discipline and structure — building systems and processes that keep growing the business even after the person who built them is gone. Who should listen: marketing and growth leaders at AI companies, founders marketing products with no existing demand, and anyone weighing a jump between big tech and a startup.

Key Takeaways

14 things worth stealing

The load-bearing ideas, each with the business implication and who should care.

01

The old marketing playbook is dead for AI products — relearn it

Fifteen years of hard-won marketing instincts didn't transfer when Leysan joined a fast-moving AI company. Like Elena Verna throwing out her growth playbook weeks into Lovable, Leysan had to throw hers out — not just the tactics and channels, but the mindset. The AI market moves so fast that whatever a marketer builds is either already done or will be copied within a week or two.

Why it matters: Assume your incumbent channel mix and planning rhythm are wrong for an AI product until proven otherwise. Treat your experience as a starting hypothesis, not a template, and be willing to discard it quickly.

Marketing LeadersFounders
02

Budgets are shifting from SEO and performance to social — show the magic

For a decade, software marketing leaders poured budget into two channels: performance marketing and SEO. For AI products that breaks down, because there's no existing demand — consumers don't know what to search for. The best way to create demand is to show what the AI does: podcasters, influencers, and short videos that demonstrate a fast, high-quality output, rather than long written documentation.

Why it matters: Rebalance spend toward social video that demonstrates the product's 'magic.' Written docs and SEO can't create a category that buyers don't yet know exists.

Marketing LeadersFounders
03

Weekly planning is the new annual planning

Leysan's first instinct at Async was to build the annual plan; within two weeks she realized it was both impossible and guaranteed to be irrelevant within a month. She now runs weekly planning against a monthly calendar and refuses to plan beyond the month, because a new model release or product change routinely invalidates it. Keep an annual North Star as a vision, not a locked-in plan.

Why it matters: Compress your planning horizon. A rolling monthly calendar with weekly adjustments — anchored to an annual vision, not an annual commitment — is the level of agility an AI-era GTM team needs.

Marketing LeadersRevOps LeadersFounders
04

Decide with data + intuition + speed of learning when data lags reality

A naturally data-driven marketer, Leysan found the lag between gathering clean data and reality had grown too large to rely on numbers alone. Her decision-making is now a blend of three things: data where it exists, intuition (seeing patterns beyond the numbers), and how fast she can learn — preferring to go, do, and learn over planning until something feels perfect.

Why it matters: Stop waiting for clean attribution you'll never get in time. Build a decision process that explicitly weights intuition and learning speed alongside whatever data you can gather.

Marketing LeadersRevOps Leaders
05

The 'AI CMO' isn't real yet — she tested it

Leysan tried one of the popular AI-CMO startups making the rounds on Twitter. Her verdict: it pulls insights from multiple tools but the data is wrong, and the advice is generic — basic stuff you could find on the internet, with no professionalism behind it. She isn't worried about being replaced for at least a couple of years, and jokes that if an AI agent is the CMO, there's no one for the CEO to fire when the plan fails.

Why it matters: Don't outsource marketing strategy to an autonomous 'AI CMO' today. Use AI to amplify a strong marketer's judgment; the intuition and pattern-recognition are the human parts that don't yet automate.

Marketing LeadersFoundersRevOps Leaders
06

AI amplifies talented people and unlocks more work — it doesn't replace them

Both hosts agree AI magnifies talent rather than manufacturing it: using AI won't make an untalented marketer talented. Anthony adds that AI doesn't just do today's work faster — it unlocks work you didn't know you could do, so the people who go deepest on the tech end up working more, not less. The net effect is more work to be done, not fewer jobs.

Why it matters: Frame AI as leverage for your best people and a generator of new work, not a headcount-reduction lever. The teams that compound pair strong operators with the tools and go faster.

Marketing LeadersFoundersRevOps Leaders
07

The two channels that matter now: social video and LLM visibility

Asked which channels are working in the AI era, Leysan names two. First, social video (Instagram, YouTube, TikTok) where you can show the tool delivering great output fast. Second, the LLMs themselves — companies are right to spend effort becoming visible inside ChatGPT and Claude, because a growing share of people search there instead of a traditional search engine, even as Google remains strong.

Why it matters: Treat ChatGPT and Claude as a real acquisition surface alongside social video. Being cited inside model answers is becoming as important as ranking on Google.

Marketing LeadersFounders
08

Match the channel to the motion — B2B vs. B2C

The channel split still holds: for B2B, LinkedIn, YouTube, and Twitter; for B2C, Instagram, TikTok, and YouTube. In Leysan's creator-economy world it's Instagram, TikTok, and YouTube — wherever creators can see how AI helps them make and amplify content. The split hasn't changed much; what changed is the format (video) and the intent to demonstrate.

Why it matters: Don't spread thin across every platform. Pick the channels that fit whether you sell to businesses or consumers, and lead with video that shows the product working.

Marketing LeadersFounders
09

Earn LLM visibility with intent-based 'how-to' content and Reddit

To be surfaced by the models, write intent-based content: put yourself in the user's shoes and answer how they'd actually search — usually 'how to' questions. Expect longer formats (Leysan cites a rough 30,000-character bar). And invest in forums and comments, because LLMs pull answers from social platforms — Reddit is the number-one source, per a16z research she references.

Why it matters: Reorient content around real user intent and longer 'how-to' formats, and build a genuine presence in the communities the models read — Reddit first.

Marketing LeadersRevOps LeadersFounders
10

Use Reddit genuinely — branded subreddit plus real community help, never a spam farm

The starter move is a branded subreddit you treat like any other social account. The higher-value work is community engagement: find subreddits your audience lives in, see what they ask, and genuinely help — injecting product information where relevant. Leysan warns against the 'cheating farm' approach: over-promising, pushing into irrelevant subreddits, and being aggressive erodes trust and backfires.

Why it matters: Reddit rewards authenticity. Help first and attention comes organically; the moment users feel manipulated, the channel works against you.

Marketing LeadersFounders
11

Beware the growth-without-value trap — chase the value that earns the number

Leysan sees many AI companies obsessed with growth while forgetting to deliver value. Her own KPI is revenue, but you earn revenue by delivering value through the product and the brand voice of everything you do. Anthony reframes it cleanly: a KPI to grow by X really means finding a way to create Y amount of value to go get it.

Why it matters: Anchor every growth target to the value you must create to earn it. Growth pursued without value is fragile and, in a trust-driven market, self-defeating.

Marketing LeadersFoundersRevOps Leaders
12

Rebrand only when it's existential — and budget for the pain

Podcastle had to become Async because staying in the narrow audio market meant being 'dead in two years' as video generation boomed; the change was a complete repositioning into a chat-based AI video editor plus a developer API. Rebranding is the hardest thing a marketer does, on two fronts: organizational pain (a team emotionally tied to the old name) and metric pain (lost branded traffic and SEO rankings driving roughly two months of declining traffic, leads, and revenue before recovery). Sequence it: decide, warn loyal users early, switch the domain silently, then announce.

Why it matters: Rebrand for existential, growth-critical reasons — not because a name feels sexier. Align leadership first, prepare the team for the emotional hit, and expect months of decline before the upside shows.

Marketing LeadersFounders
13

Big tech → startup: hired for hands-on, courage, and agility

Leysan asked her CEO why he hired someone from a corporate background over other candidates; he named three things. Hands-on: even C-level executives do the work themselves given limited resources. Courage: decisions can't be diluted across a committee — you own them personally. Agility: you must be fast to change direction, a trait she frames as AI-market-specific as much as startup-specific.

Why it matters: If you're hiring big-tech talent into a startup, screen for hands-on execution, personal decision-making courage, and comfort with ambiguity — not title or pedigree. Candidates who need everything structured and planned won't make the leap.

FoundersMarketing Leaders
14

What corporate talent brings to startups: discipline and durable systems

The autonomy and impact of a startup are the draw — everything you do immediately moves the numbers, versus the 'synthetic metrics' Leysan remembers at Microsoft. What she brings back is structure: early-stage startups lack processes, so she's building not just this quarter's results but systems that keep generating growth even after she's gone.

Why it matters: Value operators who both execute now and institutionalize how the work gets done. The mark of a strong hire is a growth engine that survives their departure.

FoundersMarketing Leaders
Frameworks Discussed

8 named models

Every framework Jimmy names, defined and time-stamped.

The New AI Marketing Mix

02:12

For AI products, the old default channels — performance marketing and SEO — give way to two new engines: social video that demonstrates the product's output, and visibility inside LLMs (ChatGPT, Claude).

Because AI capabilities are new, there's no existing demand to capture; consumers don't know what to search for. You create demand by showing the magic on Instagram/TikTok/YouTube and by being surfaced inside the models people increasingly search in.

Weekly Planning Is the New Annual Planning

05:59

A hyper-compressed planning rhythm: weekly planning against a monthly calendar, no plans beyond the month, and an annual North Star kept as a vision rather than a locked-in plan.

The annual plan Leysan tried to build at Async was irrelevant within two weeks. Model releases and product shifts routinely invalidate anything longer-horizon, so the cadence adjusts weekly while a vision anchors direction.

Data + Intuition + Speed of Learning

07:30

A three-part decision model for a fast-moving market where clean data lags reality: use data where it exists, intuition to see patterns beyond the numbers, and how fast you can learn as a tie-breaker — preferring to go, do, and learn over planning to perfection.

As the lag between gathering data and reality grows, numbers alone can't drive decisions. Intuition and learning speed are the human edge Leysan believes will keep marketers relevant against automation.

The LLM Visibility Playbook

14:09

Get surfaced inside models by writing intent-based 'how-to' content built around how a real user searches, in longer formats (a rough 30,000-character bar), and by building presence in the forums LLMs read — Reddit first.

LLMs pull answers from social platforms, with Reddit as the number-one source per a16z research. Intent-based content plus genuine forum presence is how a brand shows up in ChatGPT and Claude answers.

Genuine, Not Sleazy: The Reddit Playbook

16:20

Start with a branded subreddit treated like any social account, then engage authentically in relevant subreddits — see what people ask, help them, and inject product info where genuinely useful. Avoid the 'cheating farm' of over-promising, irrelevant subreddits, and pushy advertising.

Being pushy erodes trust and backfires; helping first earns organic attention. The same authenticity rule applies to every channel — the moment consumers feel manipulated, the investment turns negative.

Growth vs. Value

18:20

The trap of chasing growth without delivering value — reframed as: a KPI to grow by X really means figuring out how much value (Y) you must create to earn it.

Leysan's KPI is revenue, but revenue follows value delivered through the product and brand voice. Many AI companies forget this and pursue growth for its own sake, which is fragile in a trust-driven market.

The Existential Test for Rebranding

22:36

Rebrand only when it's existential — required to capture a market you must be in — not because a name feels sexier or slightly clearer. Then sequence the rollout: decide, warn loyal users early, switch the domain silently, then announce.

A rebrand is a complete repositioning that brings organizational pain (a team tied to the old name) and metric pain (lost branded traffic and SEO, ~2 months of decline). Because you're signing up for months of pain, you need a long game and an existential reason.

Hands-On, Courage, Agility

36:30

The three things a startup CEO looks for when hiring from big tech: ability to be hands-on (even C-level does the work), courage to own decisions personally, and agility to change direction fast.

Leysan's CEO named these after interviewing many corporate candidates. They map to startup reality — limited resources, undiluted decision ownership, and constant AI-market change — and screen out people who need everything structured and planned.

Best Quotes

16 lines worth clipping

Pulled verbatim. Copy or share any of them.

“When I joined Async, and we're building an AI product in a very fast-moving AI market, I had to relearn a lot of things. And I had to throw my marketing playbook away as well.”
Leysan Zigangirova 01:23
“There is no demand yet for everything that we are building. Consumers just don't know what to go and search for. They need to see what magic AI is bringing.”
Leysan Zigangirova 03:00
“I started to live in FOMO mode, in the fear of missing opportunities, because I started believing that whatever I do is either already done and I just don't know about it, or it's going to be done tomorrow.”
Leysan Zigangirova 03:49
“The first thing I tried to do when I joined Async was to get the annual plan. And in two weeks, I understood that, first, it's not possible, and second, it's just going to be irrelevant in a month.”
Leysan Zigangirova 05:18
“The one genuine thing that will stay with us marketing people is intuition — the ability to see beyond the numbers, to understand the larger patterns happening in the market.”
Leysan Zigangirova 08:13
“AI isn't just taking work that needs to be done today. What it does is it unlocks a bunch of work that you didn't even know you had the capability of doing.”
Anthony Enrico 09:48
“AI is just going to amplify really talented people. And those who are not talented — just by using AI, they will not become talented.”
Leysan Zigangirova 11:08
“All of the LLMs are grabbing information for their answers from the social platforms. Reddit is the number one source for them — there was a recent research from Andreessen Horowitz showing exactly that.”
Leysan Zigangirova 14:49
“You need to be genuine, because a lot of companies go to this cheating farm and become really pushy. The best way is to try to help. If you are helping, then the attention will come organically.”
Leysan Zigangirova 17:07
“In the current AI era, everyone is trying to get growth but not to deliver value. But usually you get the revenue when you deliver value — through the product and through the brand voice of everything you do.”
Leysan Zigangirova 18:20
“I have a KPI to grow by X, which means I have to go figure out a way to create Y amount of value to go get that.”
Anthony Enrico 19:05
“If we didn't move to video and stayed in the audio field, we would be dead in two years. The audio market is not so fast, and it is very, very narrow.”
Leysan Zigangirova 20:48
“It was not just a brand name change or a domain change — it was a complete repositioning.”
Leysan Zigangirova 21:45
“For two months I was monitoring the decline, and it's emotionally difficult for the person responsible for growing the revenue. At some point I started questioning whether I'm even good at marketing, whether we made the right decision.”
Leysan Zigangirova 26:15
“A lot of my friends are very successful and very high-paid, but they prefer large organizations because they believe it's safer. They just don't want to deal with ambiguity. I'm ready for ambiguity — it's fun.”
Leysan Zigangirova 37:55
“My goal is that after two, three, five years, when I'm done, the system is still alive — that I'm building not only the business right now, but a system that can live and bring growth even if I leave.”
Leysan Zigangirova 39:12
Practical Advice

What should you actually do?

The playbook, split by the seat you sit in.

Marketing Leaders

  • Throw out the annual plan. Run weekly planning against a rolling monthly calendar, keep an annual North Star as a vision rather than a locked-in commitment, and don't plan beyond the month.
  • Rebalance budget from SEO and performance toward social video that shows the product's magic — for AI products, you have to create demand, not just capture it — and invest in visibility inside ChatGPT and Claude.
  • Build LLM visibility with intent-based 'how-to' content in longer formats (~30k characters) and a genuine Reddit presence: a branded subreddit plus real community help, never spam.
  • Anchor growth to value: define how much value you must create through product and brand voice to earn your growth KPI, and make authenticity the rule on every channel.
  • Rebrand only when it's existential. Sequence it — warn loyal users early, switch the domain silently, then announce — and steel the org for lost branded traffic, SEO rankings, and ~2 months of decline before recovery.

Founders

  • For an AI product with no existing demand, market by demonstrating the magic in social video, not by writing documentation and waiting for SEO.
  • Don't expect an 'AI CMO' agent to run marketing today — the popular tools give generic advice on wrong data; use AI to amplify a strong marketer instead.
  • When hiring big-tech talent into your startup, screen for hands-on execution, courage to own decisions, and agility with ambiguity — not pedigree.
  • Treat a rebrand as existential-only: align leadership first, expect internal emotional resistance and months of metric decline, and commit to the long game.

RevOps Leaders

  • Accept that clean attribution now lags reality; equip the team to decide with a blend of data, intuition, and speed of learning rather than waiting for perfect numbers.
  • Use AI to raise a strong operator's throughput — it unlocks more work than it removes — rather than treating it as a headcount-reduction lever.
  • Build the systems and processes a fast startup lacks so the growth engine keeps running after any single leader leaves.
AI Takeaways

How AI actually changes GTM

LeanScale's signature read on the AI-in-GTM question this episode wrestles with.

The thesis

In the AI era the fundamentals of marketing — channels, planning cadence, and measurement — get rewired, but AI amplifies great marketers rather than replacing them. The winning play is to create demand by showing the product's magic, get visible inside the models people now search in, and stay genuinely useful.

The AI CMO isn't real yet

Leysan tested a popular 'AI CMO' startup: it pulls from multiple tools but the data is wrong and the advice is generic — basic internet-level output with no professionalism behind it. She isn't worried about replacement for at least a couple of years.

AI amplifies talent, not the untalented

Using AI won't make an untalented marketer talented — it magnifies the strong. And per Anthony, it unlocks work you didn't know you could do, creating more work rather than fewer jobs.

Get visible inside the models

ChatGPT and Claude are becoming search surfaces. Win them with intent-based 'how-to' content in longer formats and presence in the forums LLMs read — Reddit is the #1 source per a16z.

Show the magic — there's no existing demand

For genuinely new AI capabilities, consumers don't know what to search for. Social video demonstrating a fast, high-quality output creates the category awareness that SEO and written docs can't.

Decide on intuition when data lags

The gap between gathering clean data and reality has grown too large to rely on numbers alone. The human edge — seeing patterns beyond the numbers — is what Leysan believes keeps marketers relevant against automation.

Agent & automation ideas

  • An LLM-visibility monitor that checks whether your product is cited in ChatGPT and Claude answers for target 'how-to' intents and flags coverage gaps.
  • A Reddit listening and genuine-response assistant that surfaces relevant subreddit threads to help in (not spam) and drafts authentic, value-first replies.
  • A 'show-the-magic' content engine that turns raw product outputs into short social videos formatted per channel (Instagram, TikTok, YouTube).
  • A weekly-planning copilot that compresses annual-plan artifacts into a rolling monthly calendar and re-prioritizes as new models ship or the product shifts.
Operations Takeaways

By function

The same conversation, filtered for RevOps, pipeline/marketing ops, and customer ops.

Pipeline & Marketing Ops

  • Show, don't tell. For AI products with no existing demand, social video that demonstrates the output creates the category awareness SEO and written docs can't.
  • Get into the models. ChatGPT and Claude visibility is becoming a demand channel — win it with intent-based 'how-to' content and a genuine Reddit presence.
  • Match channel to motion. B2B: LinkedIn, YouTube, Twitter. B2C: Instagram, TikTok, YouTube. Lead with video that shows the product working.
  • Value before growth. Chase the value you must create to earn your growth KPI; growth-without-value erodes trust and reverses in a trust-driven market.
  • Measure differently. Clean attribution lags reality — blend the data you can get with intuition and speed of learning rather than waiting for perfect numbers.
Metrics Mentioned

The numbers, with context

15 years
Marketing tenure

How long Leysan spent building a marketing playbook (Microsoft → Yandex) before throwing most of it out at Async.

30
CMO by age

Leysan became a chief marketing officer at Yandex ('Russia's AWS') by the age of thirty.

~7 years
Yandex cloud marketing tenure

How long she led the cloud marketing team before intentionally leaving big tech for an AI startup.

2 weeks
Annual plan lifespan

How quickly she realized, after trying to build an annual plan at Async, that it was impossible and would be irrelevant within a month.

~30,000 characters
LLM-friendly content length

The rough content-length bar Leysan cites for the longer formats that now perform better for LLM visibility.

Reddit (#1)
Top LLM source

Per a16z research she references, Reddit is the number-one source LLMs pull from when generating answers.

~2 months
Post-rebrand decline

How long traffic, leads, and revenue declined after the Podcastle → Async rebrand — from lost branded traffic and SEO rankings — before recovery began.

~3x smaller
Startup team size

Leysan's marketing team at Async is roughly a third the size of her team in big tech, with far smaller budgets and no pre-built processes.

Entities

Companies, people & tools mentioned

Auto-extracted and linked into the knowledge graph.

Companies

People

Tools & software

RedditCommunity / Social

Named as the #1 source LLMs pull from (per a16z research) and a key AI-era marketing channel: create a branded subreddit and engage genuinely in relevant communities, helping rather than spamming.

ChatGPTAI Assistant

One of the LLMs companies should invest in being visible inside; a growing share of people search here instead of a traditional search engine.

ClaudeAI Assistant

Named (transcribed as 'Claudio') alongside ChatGPT as an LLM where AI products should work to be surfaced in answers.

YouTubeVideo Platform

A core video channel for both B2B and B2C in Leysan's channel split, and where you can show an AI tool delivering fast, high-quality output.

InstagramSocial Platform

A B2C social-video channel (and central to the creator economy) for demonstrating how an AI tool helps creators make and amplify content.

TikTokSocial Platform

A B2C social-video channel Leysan uses to show AI output for creators; part of the show-the-magic mix alongside Instagram and YouTube.

LinkedInSocial Platform

Named as a core B2B social channel (with YouTube and Twitter) in Leysan's channel split.

X (Twitter)Social Platform

Named as a B2B channel and as where the popular 'AI CMO' startups were gaining attention.

Frequently Asked Questions

Straight answers

Generated from the conversation, marked up for search and AI extraction.

Why is the old marketing playbook 'dead' for AI products?

Because the two channels that carried software marketing for a decade — performance marketing and SEO — depend on existing demand, and for genuinely new AI capabilities there is none: consumers don't yet know what to search for. Async CMO Leysan Zigangirova argues you have to create demand by showing the product's 'magic' in social video rather than capturing it with written content and SEO, and that the market moves so fast that tactics get copied within a week or two, forcing marketers to relearn their craft.

What marketing channels work best for AI products in 2026?

Two, per Leysan Zigangirova. First, social video — Instagram, TikTok, and YouTube — where you can show an AI tool delivering fast, high-quality output. Second, the LLMs themselves: making your product visible inside ChatGPT and Claude, because a growing share of people now search there instead of a traditional search engine. The B2B/B2C split still holds — B2B leans LinkedIn, YouTube, and Twitter; B2C leans Instagram, TikTok, and YouTube.

How do you increase your product's visibility inside LLMs like ChatGPT and Claude?

Write intent-based content: put yourself in the user's shoes and answer how they'd actually search, usually 'how-to' questions, in longer formats (Leysan cites a rough 30,000-character bar). Then build presence in the forums and comments the models read, because LLMs pull answers from social platforms — Reddit is the number-one source per a16z research. A branded subreddit plus genuine, helpful engagement in relevant communities beats any pushy tactic.

How should you use Reddit for marketing without being sleazy?

Start with a branded subreddit you treat like any social account, posting product news and useful topics. The higher-value work is community engagement: find subreddits your audience lives in, see what they ask, and genuinely help — injecting product information only where relevant. Avoid the 'cheating farm' of over-promising, posting in irrelevant subreddits, and being aggressive, which erodes trust and backfires. Help first, and attention comes organically.

Is the 'AI CMO' agent real, and will AI replace marketers?

Not yet, according to Leysan Zigangirova, who tested a popular AI-CMO startup: it pulls insights from multiple tools but the data is wrong and the advice is generic, with no professionalism behind it. She isn't worried about replacement for at least a couple of years. Both she and Anthony Enrico argue AI amplifies talented people and unlocks more work rather than eliminating jobs — the human intuition to see patterns beyond the numbers is the part that doesn't automate.

When is it worth rebranding a company?

Only when it's existential — required to capture a market you must be in — not because a name feels sexier or slightly clearer. Podcastle became Async because staying in the narrow audio market meant being 'dead in two years' as AI video generation boomed; the change was a complete repositioning into a chat-based AI video editor plus a developer API. Because a rebrand means months of pain, you need an existential reason and a long game.

What should you expect when you rebrand, and how do you roll it out?

Expect pain on two fronts. Organizationally, a team emotionally tied to the old name resists the change. On metrics, you lose branded traffic and SEO rankings, driving roughly two months of declining traffic, leads, and revenue before recovery. Leysan's rollout sequence: decide, warn loyal users early via blog/email/social, switch the domain silently (to absorb technical issues), then make the growth announcement with a press release a couple of weeks later.

What do startup CEOs look for when hiring from big tech?

When Leysan asked her CEO why he hired someone with a corporate background, he named three things: the ability to be hands-on (even C-level executives do the work themselves given limited resources), courage to make decisions personally rather than diluting them across a committee, and agility to change direction fast — a trait as much about the AI market as the startup. Candidates who need everything structured and planned, and can't tolerate ambiguity, don't make the leap.

Full Transcript

The whole conversation

Broken into chapters, searchable, verbatim from the audio. Speakers inferred (not diarized).

00:00Intro: from Yandex Cloud to a growth-stage AI startup

0:00 (logo whooshes) - Working with Leison Ziganriova, the CMO at Async. You might know them as Podcastle, but they just rebranded, and we're going to get into why. Leison's career is fascinating. She ran marketing for Yandex Cloud, Russia's version of AWS, and then led marketing for Yandex's open source portfolio. Before that, she was at Microsoft. Now, she's taken all of that big tech experience and brought it to a growth stage AI startup. We're going to talk about what breaks when you go from corporate to startup, why she thinks the old marketing playbook is dead, and what it was really like to rebrand a company

0:43 while the product is still changing underneath you. - Hi, everyone. Anthony, thank you so much for inviting. That's a pleasure. - Pleasure to have you here, Leison. One of the things that I thought was really interesting, something you said on our prep call that stuck with me, all that we knew previously just doesn't work anymore. And I'm curious what you meant by that. - Oh, yeah, that's sure, you know, like a week before we had this prep call with you, I listened to a podcast of Leina Rachitsky together with Lena Verner. Lena Verner is one of the, I believe, one of the best growth specialists. She's now chief growth officer in Lovable.

1:23 And when I was listening to her, I noticed that she said that when she joined Lovable and started to do the stuff there, she basically threw away her growth playbook that she was collecting throughout the years, just after several weeks. And then I started reflecting like, is it happening with me when I joined to Async? Because I'm in marketing industry for like 15 years, and I know quite a lot of things, and I have a great experience in that. But I realized that when I joined Async, and we're building the AI product in very fast-moving AI market, I had to relearn a lot of things. And I had to throw my marketing playbook as well.

01:24"All that we knew previously just doesn't work anymore"

2:12 And it's not only about the tactics and the channels, which are, I would say, different than the traditional products or even the software that I was previously promoting, but it's also about the changes in the mindset. When I say about the shifts in the marketing mix, I have to admit that previously, all of the marketing leaders were mostly investing in two areas when they were promoting the software product. So the first thing is the performance marketing. So a lot of the budgets were spent there, and SEO, so Search Engine Optimization. So these were the two major channels for driving the growth. With AI, and in this AI era that we're all living in,

3:00 the investment shift, the budget investment shifted towards the social media, I have to say. Why is that happening? Because there is no yet demand for everything that we are building. Consumers just don't know what to go and search for. They need to see what AI is bringing, what magic is it bringing. Therefore, the best way to showcase that is to go to the podcasters, to the influencers, to bloggers, to shoot the videos, rather than going to the blogs and writing the content as it was previously. So this is the major shift which is happening across everything related to marketing of AI stuff. The second thing is the anxiety shift, I have to say.

03:24Why budgets are shifting from SEO to social

3:49 So the anxiety has increased enormously because the spit increased. Previously, you had plenty of time for the experiments. So usually the life of the marketing person looked like I have five to six experiments. They are running for several months, and then I'm choosing one to options and then scale it. Now you don't have time for that. You even don't have time for planning. You just go and do. So as I'm constantly saying that, I started to live in the former mode, so in the fear of missing opportunities because I started believing that whatever I do is either already done, but I just don't know about it, or it's going to be done tomorrow

4:33 because the release bit is so huge, though it's so fast that whatever marketers are doing is being copied in a week or like couple of weeks. So this is like the second big thing which would change that you don't have time for planning, for experimenting. You just go and do relying on your intuition and like on your beliefs, what is the best way for the company? - Yeah, I definitely come from a background where pre-COVID, we would sit down and do annual planning process and you'd lock in that plan for the whole year. Definitely need much more agility now. Practically speaking, I would love if you could walk through

5:18 an actual cadence, how long you do give yourself to run an experiment and what, 'cause I know we're not getting as clean of data as you used to get with performance marketing and SEO, so what are you leveraging to determine if an experiment is working or not working? When do you make the decision to make a change? - Yeah, the funny thing, you just said that you worked in the company where you had these annual plans, so when I just joined Async, the first thing which I tried to do is to get the annual plan. And then just in two weeks, I understood that this is first not possible and this is just going to be irrelevant in a month.

05:22Weekly planning is the new annual planning

5:59 So then I just refused to craft any presentations or any papers as I did previously. Now we're working in really very agile mode, so we have the weekly planning really quickly. The week we understand what we do, we have the calendar, which is monthly, but the changes are happening on a weekly basis. And we don't plan anything beyond that month, because usually it becomes either irrelevant or the plans on the product side changes, I don't know, the new model is released or something like that. So this is like the new reality, it's probably. That is hyper-compressed. I think even, I would say, we would keep an annual North Star

06:00Making decisions without clean data

6:52 and a lot of companies would do that. And I think changing the mindset of like, hey, this isn't the locked-in plan, that's just the vision of what we're marching towards. And then I've seen a lot of quarterly planning. I think monthly, that's an elite level of agility if you have that built-in to adjust. But you're right, every single day, there's a monumental shift in AI infrastructure, capabilities, and that can completely change your go-to-market. - Absolutely, absolutely. And you were also asking the question, how to make the decisions in this fast-moving environment, right? So previously, I was relying mostly on data.

7:30 So by nature, I'm very data-driven person, and I was told this marketing basics that you need to look into the numbers, to make really thought decisions. Now, I just don't have this data. So the lag between gathering the data and reality has increased significantly. So now, when I'm asked how I'm making decisions, I usually say that this is the mixture of three things. So it's still data, when it is possible to gather that data. The second thing is intuition. And I believe that this is going to be very human-specific thing. So a lot of people start saying that, look, marketing people are going to disappear in a couple of years.

8:13 There is already an AI agent of the CMO who can do your work. But all of this AI agency, literally, my friend is dropping me the messages that I'm going to be replaced as of tomorrow each week. So it's mostly the joke, but still, I truly believe that one genuine thing that will stay with us, I mean, marketing people is the intuition, is the ability to see just beyond the numbers, to see what its behavior looks like, to understand the larger patterns which are happening on the market. And the third thing, which also helps me to make the decision in this area of ambiguity is how fast I can learn. So I would prefer to go and do and to learn,

8:59 rather than planning stuff till they feel perfect. So this bit of learning is becoming another third argument when making the decisions. - Yeah, if there's an AI agent who's the CMO, then who's the CEO going to fire when the plan doesn't go well? I don't know if that'll ever work. - The CEO is just stopping this AI agent and is going to do another one. (laughing) - This is a fantasy. I don't believe that is going to happen. Again, I tried this AI CMO. That's one of the startups. They became quite popular in Twitter recently, saying that, "Look, we're at least the AI CMO." I tried it. To be honest, it's just not delivering the right data.

09:39Is the AI CMO coming for your job?

9:48 So they are gathering the insights from different tools and this data is not correct. Second, it's just giving you very ordinary advice. So it's not, you cannot see that there is a professionalism behind that agent. So it's just basic stuff that you can find in the internet. So therefore, at least now, this is not the reality. It's just fun thing to try, but I'm not afraid that this thing is going to replace me, at least for a couple of years. - No, I don't think so. I recently wrote an article about how AI isn't just taking work that needs to be done today. What it does is it unlocks a bunch of work

10:30 that you didn't even know you had the capability of doing. So the people who are really leveraging AI, they're deep in its capabilities and how to get the most out of the tech, really are working more. I see people working all the night. There's some addictive aspects of AI too, but we can talk about that on a different day. But I think it's really unlocking, oh, there's so much more work to be done and there's so much more on my plate now that I can do these things. So I don't think it's taking any way. I don't think it's taking away a lot of jobs. I think it's only gonna create more work to be done. - I agree. I also think that AI is just going to amplify

11:08 really talented people. And those who are not talented by just using the AI, they will not become talented. That is the thing. - I tend to agree. I would love to hear, 'cause you mentioned AI is changing how people are interacting with brands, with interacting with technologies they don't even know they may need yet. So there's a lot of education that needs to be had. What channels in this new AI era are you seeing being really successful and how can you take advantage of them? - I would name two. So first is social videos I mentioned. So Instagram, YouTube, TikTok, all these video interfaces where you can actually show

11:54 how AI tool is delivering the great output for you. So it's not just about writing the text as this large documentation for the software products as it was five or 10 years ago. You really need to show it, to show how it works, that it's very, very fast and that it delivers really high quality outcome. So this is the first thing. Second, which I would believe is a funny thing, is the LLMs itself. So now all of the companies, I think it's right, it's right move, spending some efforts and making themselves visible in chat GPT and Claudio. This is the right direction. So Google is still strong in terms of the share, but a lot of people already started searching

12:18The two channels that matter most in the AI era

12:44 for the information in the LLMs rather than the traditional search engines. So these are the two media I believe are the most important in terms of the investments. - On the social media side, I do see a lot of B2B companies starting to get into social media, experiment a little bit. Are there any channels that you think work really well with certain types of products? I guess if you think of all the major ones, who should be investing in those channels and why? - It still depends on what you're building. You were giving this example of the B2B. For B2B, it's still YouTube and Twitter and LinkedIn for sure. If you go to the B2C, it's Instagram and TikTok.

13:28 In my case, so I'm working in the creative economics, it is Instagram, TikTok and YouTube. So everything where creators can see how AI can help them in creating the content and amplifying the content. So it's really depending on the product. But if to divide, I would say like B2B, LinkedIn, YouTube, Twitter, B2C, Instagram, TikTok, YouTube. It's still the same. The split didn't change much. - Makes a ton of sense. And on the LLM visibility, I know that's increasingly becoming important for companies that we're working with. Do you have any guidance on how to increase your visibility for the models? - Oh, I'm not the best specialist.

13:31B2B vs B2C: where to actually invest

14:09 I mean, I'm not so technical and there are plenty of articles actually. And there are a lot of companies who are trying to build the business around that. So how to be more visible. But basically, you need to think about the content that you're producing for the blog and for the website content as it is intent-based. So you need to put yourself in the shoes of the user and try to understand how the user is searching for the information about you. So usually it is how to. So how to do something, how to shoot the video, how to become a podcaster, how to, I don't know, earn money, how to do something. So it's always like this intent-based approach,

14:34How to increase your visibility inside LLMs

14:49 which is in most cases working the best. There is also requirements in terms of the tax length. So previously the shorter formats of the tax worked well. Now there is a requirement around 30,000 characters, I believe. Yeah, and last but not the least is your presence in forums and in the comments and YouTube and stuff like that, because all of the LLMs are grabbing information for creating the answers from the social platforms. Reddit is the number one source for them actually. There was a recent research from understand at Horowitz. So they were doing the research around that. And I remember that was the table,

15:37 which was showing the Reddit as number one source. - That is super interesting. And I think if you don't mind if I can zoom in and double click on the Reddit aspect, how, and maybe let's take a B2B context. If somebody's looking to invest in the Reddit channel, and I know a lot of companies probably haven't even personally used Reddit people in them, what's the best way for them to get started and how do they do it in a proper way? - Yeah, the simple way is to create your branded subreddit. This is the default thing that you get to do. And you just read it the same way as you treat some other social media accounts.

16:20 You just put all the news about your products, some interesting topics that might be useful for your audience and just do the regular posts there. Second, it's a community network, right? So you need to work with this community. So you start with searching for the different subreddits which are related to your target audience or your product area. And you start seeing what people are asking there, start engaging with them, helping users to find out the answers that they are searching for, injecting the information about your product. So this is like guerrilla marketing, I would say, but it is really working. But you need to be genuine

16:25Reddit as the #1 LLM source — and how to use it without being sleazy

17:07 because there are a lot of companies which are going to this cheating farm. So they start over promising or overusing the Reddit, going to the subreddits which are irrelevant to your product, become really very pushy, trying to advertise the product. I don't believe that this is working because ultimately it will impact the trust to your product. So the best way is try to help. If you are helping, then the attention will come organically. - Yeah, and I think that's probably really good advice for any channel. If you're going to invest in something, be authentic, be organic, be genuinely helpful. I think anytime a consumer starts to feel like

18:00 somebody is trying to pull the wool over their eyes, then they start to not trust the brand and then it can have an inverse effect. So you start investing in it and it's even worse. You might as well not have done it. - Yeah, yeah, and you know, I saw this message recently that in the current AI era,

18:20 everyone is trying to get growth but not to deliver value. And I see a lot of companies which are so keen on getting the growth, which I'm still a growth person. I understand that my KPI is getting the revenue. So this is really the most, but usually you get the revenue if you deliver the value by the product and by the brand voice of everything that you are doing. So I think some people started to forget about it, unfortunately. - I think it's a great way of thinking about it. Hey, I have a KPI to grow by X, which means I have to go figure out a way to create Y amount of value to go get that. - Exactly, exactly.

18:31Growth vs. value: the trap most AI companies are falling into

19:05 - One of the things that you recently went through and going through all of the things we're talking about, investing in social media channels, building a brand, building an audience, and then when you're in a position where you need to rebrand. Walk me through, it seems unbelievably painful, but walk me through your process of how you do that. And maybe even before, when is it worth it to rebrand or just continue going on with audience that you have? - Yeah, look, I think I still have this trauma of rebranding that we did recently. All in all, this is the third rebranding in my life. So first one was more than 10 years ago,

19:50 then in five years ago, another one, and this was the most recent. I still believe that rebranding is the most difficult thing in the career of any marketing person. It's very interesting, very insightful, but very difficult, both in terms of the business and the organizational setup. In our case, that was kind of existential question, to do the rebranding or not. Because previously we were known as PodCastle, and just by the name, you can immediately get an understanding that this is the company which is related to PodCastle. And historically, yeah, historically, we started our business and our platform as a platform for PodCasters, but mostly for audio.

20:10Why Podcastle had to become Async

20:39 We had our own voice model, which was on the working infrastructure for the platform.

20:48 Later, we tried to extend to the video area, but that was not very successful. And we started thinking, how can we do this major shift? At the same time, the market starts changing as well. All of this video generation stuff appeared, all this models like Cling, Sora, Nana, Banana, all of them are booming. So we understood that if we don't move to that area, we don't move to video. And if we stay at the same audio field, we would be dead in two years. So yeah, like maybe I'm a bit exaggerating, but the market, I mean, the audio market is really much, it's not so fast, and it is very, very narrow. So we wanted to extend, and by that time,

21:45 product became more featured. So we added subtitles, we added voiceovers, video generations as well. So it became absolutely different from the PodCastle, which was like four years ago. And at the same time, we also started developing our API. So now Async is the creator platform and the developer platform, so we are selling our API to the engineering teams who are aiming to build the voice agents. And for them, the name of PodCastle doesn't serve even more. So therefore, we took the decision to change to the new name, and it was not just the brand name change or the domain change, it was the complete repositioning. And now if you go to our website,

22:36 you will see that we are a platform which is serving both audiences, the creators and developers, and we're mostly in the video, and we're building the AI video editor with a chat-based interface. So the product has changed completely as well. Coming back to your initial question, that was the reason why we changed. So how we did that, we started, so we made the decision that we're going to change the name in September last year. And we started informing the audience already in November, because one of the fears which I had that our loyal audience is going to, that we will lose them. And for me, the first thing was to make sure that they will not live.

23:20 So we started informing the current people via blog and the emailing and social media that, look guys, we're going to change. The change is going to be significant, but you're still going to get the same value that you used to with the podcasting. We're just extending our use cases. Then in January, we made the change itself. So the product upgraded, we changed the domain, but we did it silently. That was on purpose because we were afraid of some technical issues that might happen. It usually happens actually when you do such a huge transformation. So we changed it and in two weeks we made the growth announcement with the press release,

24:05 with informing across socials that we are now async. That was painful in two cases. I mean, the most pain was coming. First, the organizational pain, because people are emotionally tied to the previous name. So we had the all hands and the people were asking me look why we're changing, podcast is so great name. We feel like we are part of that podcast family and now we're becoming someone new. So it had, we had some, spent some time and efforts to get with CEO. I'm very happy that CEO was on my side, that was his decision as well. So we persuaded people that, look guys, this is the right decision and this is actually opening the new horizons for us.

24:58 The second pain is the loss in terms of the metrics.

25:05The real pain of rebranding (internal resistance + metric decline)

25:06 When someone is saying that rebranding was not giving some decline or we recovered like immediately, I usually don't believe to that people because it never happens just by like the real things.

25:26 When you change the name and the, and the domain is changing, you immediately lost, lose the branded traffic. The, there are some bugs in the direct visits patterns. The SEO rankings are also lost. So there are a lot of things that you are losing. Therefore your organically see the decline in terms of the revenue, the traffic, the leads, all that stuff. I thought I was more optimistic that the recovery will happen in one month, but it didn't. And that was very difficult, you know, to, to wake up, usually wake up. And the first thing which I do, wake up to the breakfast, I open my laptop and go into the dashboard to see what is happening with the revenue,

26:15 with the subscriptions. And for like two months, I was monitoring the decline. And it's emotionally difficult for the person who's responsible for, for growing the revenue. And now like when two months passed, we started to see the recovery. I was saying like, oh, okay. Because at some point I started questioning myself whether I'm good at market, whether I'm good at marketing person or not, whether we did the right decision or not. You know, there's a constant thinking about the things that you did. So yeah, now we started seeing the positive results. So it took longer. And I think that the growth is going to be still postponed.

27:00 So now it's on the recovery stage, but the real growth should come later. But the positive thing that we started to see on the positive side on the developer platform, because previously API was almost unknown. Now the developer platform is benefiting from the creator platforms. People started to see that we don't only have the video editor, but also the API that teams can utilize. So that is the long story short. - Yeah, I think a lot of people may take the decision to rebrand a little bit frivolously. They may not, I thought what was really interesting is the internal resistance and knowing that people are emotionally tied to a name, a brand, a voice.

27:47 You know, it's one that you're assuming, when we started talking about this, I was really only thinking about the external changes, but really keeping the team feeling cohesive is a big part of it too. I didn't realize that that would be a big factor. - That's true, that's true. And I think this is more evident in the smaller teams, because in the larger organizations, the decision about rebranding or some changes in the brand name are coming just like the decision some head has taken. And they are just presenting that for you. But while you are, when you are a small team, you are still attached to that. So like any change, like significant change

28:27 is really traumatizing, I would say. - Yeah, it makes a ton of sense. Well, and I think knowing what you're signing up for, saying, hey, we're gonna make this decision, especially if it's existential, as you mentioned, hey, this is a big deal, in order to capture market in a way that's gonna be conducive to our growth, we're going to have to do this, we don't really have a choice. That sounds like the right time to do it. Not if it's, hey, maybe we could capture a bit better, maybe this will describe what we do a little bit better, maybe it's a sexier name. Those sound like reasons to not rebrand. Would you agree? - Yeah, that's sure, that's sure.

29:04 - And then because you're signing up for months and months of pain, and you have to have a long game in it where there's something in it for you to make this decision worthwhile. - Exactly, exactly. But I think, again, as I said, for us, this was kind of an existential question, and maybe people like the engineers or some specialists, they just don't understand it, but when we discussed that on the C-level medics, we just all knew that this should happen, this should happen. - Makes a ton of sense. Well, I commend you on your bravery for doing it, and I appreciate you sharing the roadmap for anybody else who's gonna have to go through that type of process.

29:49 One of the things I really like to talk about, because I think there's this idea or ethos out there, especially in the startup community, even more so if it's a hot AI startup, I think a lot of people are reluctant to bring in leadership from big tech, from big companies. And I see you as an example of someone who has taken that experience and turned it into a positive in the type of company you're in now, and I would love for you to walk through that story, maybe some things that shocked you, or how to prep anyone moving from a big corporate environment to a startup. - Look, in my case, in my journey,

30:31 I think I was searching for the startup as a next career step, because previously, I already had quite successful path. So I started, I have always been in marketing, and I was growing quite fast. So I became chief marketing officer in Yandex by 30, so quite young. Yeah, and I was leading the cloud marketing team for almost seven years. So at some point, I started feeling that I did everything, I mean, in the large corporation, that I want to try something absolutely different. And I started searching for the new challenge, and I refused from several offers, which were still coming from the big tech. So intentionally choosing the startup,

30:40Big tech → startup: what actually changes

31:29 but of course, I wanted the startup to be in AI field, because previously, I was working in a cloud business, cloud was at the edge at that time. So I was always working with some innovative technologies, and I wanted to continue doing the same, but moving to a bit different area. So AI as the booming thing was the right move for me.

31:53 So I moved, and it was still shocking, I would say. And I had to change, though I was still, I mean, now I didn't move the, from fast moving and super goods to the technology area, so it was still technology, but the shift still was required again from the mindset perspective. First, and I think that the major thing, that the resources are really small. And large corporations, it's not only the budget, I mean, the marketing budget, it's also about people, and it's not only about your team. And I think when we work in large corps, we just don't realize that there are a lot of other people in other teams, the processes which are already built

32:00The three things her CEO hired her for

32:44 are helping you, you're just taking that as a default thing. When I landed to Async, there was nothing, there was nothing in terms of the processes, the budgets are very limited, the team is like three times smaller than I had previously. So another thing which I had to change was the attitude toward prioritization. Of course, we were prioritizing things in the large works as well, but here it has become more ruthless. So you need to think twice what to do and where to invest, but at the same time, the market is changing so fast, so you need to prioritize more qualitatively, but still be fast in making that decisions. So this is a very complicated balance

33:32 which I still didn't figure out yet. But I'm on that, I'm on that. Yeah, I think that's the major thing, but the good side is the absolute freedom. Still in the large organizations, you have a lot of guidelines you need to follow, you have a lot of the bureaucracy, you need to align the decisions with a lot of people. Here, we decide fast, we move fast, and I have a freedom to do whatever I believe is right for the business, just aligning with other people in the CCU and with the CEO. But at the same time, I think not the first, but like the second time in my life, the first one was when I was CEO of Yanda Club,

34:21 I felt how marketing is actually important for the business because I started to feel this raw reality of the business that everything which I'm doing or not doing is actually giving the impact. In the large corporations, it's usually somehow hidden. I remember in Microsoft, we had synthetic metrics, which it's difficult to understand how they impact the overall value that the company is trying to create. Here, this relationships and the impact is immediate. - I think those two things people are always really hungry for when they're looking for a startup opportunity, it's the autonomy and the impact, and it is very difficult to replicate.

35:06 I worked for two big corporations before, and then a multitude of startups before starting LeanScale. Probably the most well-known one would be LexisNexis, so it's a global risk. I worked, they had a risk division, they acquired one of the companies that I was running RevOps for, and that was a complete culture shock for me. And immediately, going from, as you mentioned, every single day, I take an action, I see the impact, and having that connectivity to the results, to really being layered and saying, "Oh, it's gonna take quarters, maybe years, "for some of the things you're working on "to really start taking effect."

35:53 It was a very difficult thing for me to transition into. I actually got a lot of reviews saying, like, "Hey, you need to slow down "and stop being so aggressive in the meetings." (laughing) It's like, "No, we need to get this done in a month," and you don't realize all of the things that need to change in order to implement this. So immediately, I was like, "I don't think I fit in here." Went back to a startup and then started LeanScale. But I think one question I have, for companies that are maybe interviewing somebody from a big tech coming into a startup, what should they be looking out for to make sure that this is a good fit for them?

36:13Autonomy, impact, and why some people can't make the leap

36:30 Because I was not a good fit for a big corporate, and I think maybe they could have sussed some of that out in the interview process, too. - Yeah, look, I was actually asking that question from my CEO, so why he decided to hire me, though I was coming from the corporate background. So he told me that he interviewed a lot of candidates from the corporate side as well, like from the other companies. And he told me that there are three things that he looked into. So first is ability to be hands-on. So even on the C-level position on the startup, you do some stuff by yourself, just because of the limited resources,

37:12 just because of the speed, so this is the reality. It's not about being a high-level manager, as we used to in the large corporations. So you need to work yourself hands-on, very hands-on. So this is the first thing. Second, courage. Courage to make decisions, because sometimes in the large corporations, the decisions are kind of diluted, so you don't even know who is making that decision, because somehow team decided. Here, of course, we decide as a team, but a lot of the decisions I should make as a person, as a person who's responsible for driving the business, this is the second thing. And third one is agility.

37:55 But this, I believe, is not only startup-specific, but also AI market-specific. You need to be very fast in changing. So, okay, we drafted this plan, this marketing tactics, but tomorrow things has changed, and we need to run in absolutely different direction. And you need to get used to that, to work with that kind of ambiguity. I know a lot of people, a lot of my friends, very successful, very high-paid, but they prefer to work in the large organizations, because they believe it's more safe. They just don't want to deal with ambiguity. They want everything to be structured, to be everything planned. I'm ready for ambiguity. That's it, it's fun.

38:40 - Yeah, I think it takes a special kind of person to enjoy it, and thrive in it. - Exactly, if you don't enjoy it, you will not do that. - No, and I've seen a lot of people try to make the transition, but I think if they're taking a mode of introspection and knowing, hey, what's driving me, what excites me, and if some of those things do, then it's a great fit, you should make the transition. And you bring a wealth of knowledge and organizational structure that I think can make you hyper-effective. You just have to make sure it's the right fit, too. - Exactly, exactly. Another thing that, like, from corporations,

39:12 what people like we can bring to the startups is this discipline and structure. So they are all in structures. I mean, all the startups, especially on the early stage, lack the processes. So what I'm trying to do right now is not only to run and to execute the stuff, but also to build the processes. So in my dream and my goal is that after two, three, five years when I'm done or something happens, the system is still alive. Like, that I'm building not only the business just right now, but also the system which can live and bring growth even if I'm living. - Leison, I really appreciate everything that you've been sharing.

39:53 I've learned a ton during this conversation, and I think a lot of things are really valuable for our audience and the people that we work with. I think your whole idea about the old playbook is dead. The way people are interacting with AI, the way people are interacting with brands and products is completely different. I love the advice of investing in social media, especially in maybe some of those non-traditional ones, like Reddit, people may not be used to how to do that, but I really appreciate you giving that. And then keeping the foundation of being organic, being authentic, and adding value. Whatever your growth KPIs are,

40:31 make sure you're looking to how much value you're gonna add to the market. I also appreciate you going through the pain of doing a rebrand, when to do it, how to do it, what to expect. I know there's a lot of startups that are going through existential changes right now that that's gonna be super valuable. And I am so happy to have an amazing example of somebody making the transition from big tech to startup, taking your organizational structure, expertise, and professionalism to a company that can really use it, but making sure it's aligned with your personal goals and what excites you every day when you're working. So Leyson, I can't thank you enough.

41:12 I appreciate you being on the podcast, and I can't wait to watch what you do next at Async and beyond. - Thank you so much. Thank you so much, Anthony, for inviting. That was really a pleasure to be with you. Very interesting question. So maybe we would see each other, I don't know, in the half of the year or a year, and that would be another episode when I will be telling what change. And I'm sure there will be a lot of changes. - I think we will have to have you back to go through everything that's going on with Async. And I'm sure there are gonna be plenty of changes in AI, and we'll have new perspectives on these problems too. - Of course.

41:45 Sounds like a plan.