01
Up to 85% of what AI recommends comes from third-party content
According to AI-visibility platforms like AirOps, Profound, and Evertune, when an LLM answers a prompt such as 'best HR software for a 50-person company,' roughly 85% of what it sources and cites lives off your own website — review sites, influencers, publications, and partner content. Your first-party site is no longer the source of truth the buyer (or the model) trusts most.
Why it matters: Stop treating your website as the center of gravity. Audit where LLMs actually pull your category's recommendations from, and invest in being present — and accurate — across that third-party surface.
Marketing LeadersFoundersRevOps Leaders
02
Domain authority matters far less than it did in SEO
In the old SEO game you chased a handful of the highest-authority domains. In AEO the threshold is lower and the field is wider: LLMs draw heavily from mid- and long-tail sites, so breadth of coverage across many queries, FAQs, and content types beats concentrating on a few marquee domains. Reddit's citation weight has fallen while LinkedIn's keeps rising — the landscape is volatile.
Why it matters: Distribute widely across the sites talking about your category and competitors rather than over-indexing on a few high-authority placements, and expect the weightings to keep shifting.
Marketing LeadersRevOps Leaders
03
AI is an accelerant — pour it on a bad strategy and you hit a brick wall
The tempting move is to spin up a thousand AI-written landing pages and blogs on your own domain. But LLMs can tell that content is self-produced and AI-generated, and they weight organic, fresh, third-party validation far more heavily. Inauthentic, spam-style content will not be picked up long-term, in Mike's view.
Why it matters: Build for authenticity and the long term. Anchor content in real customer value and how customers actually use the product — not in whatever fad might win a short-term bump.
Marketing LeadersFounders
04
Partnerships are the highest-leverage AEO channel
The content LLMs trust most — integration blogs about how two products work together, joint webinars, co-hosted podcasts, YouTube walkthroughs demonstrating the technology — is exactly what partnerships produce. Third-party validation from a partner reads as a trusted review, not a brand talking about itself. LeanScale stumbled into this by co-creating content with partners before AEO was even a term.
Why it matters: Treat your partner ecosystem as an AI-visibility engine. Every joint content asset does double duty: it feeds the LLMs and it serves the ~85%-online human buyer's journey.
Marketing LeadersRevOps LeadersFounders
05
Start with an AI-visibility platform, then reverse-engineer your partnerships
Running a visibility analysis surfaces thousands of URLs you should be working with and the content types you're missing. The low-hanging fruit: a partner already being cited in recommendations that you've never built content with. From there you expand into the gaps — the FAQs, tutorials, or comparisons you don't yet have — keeping everything tied to the real use case.
Why it matters: Let the data inform the partnership roadmap. Prioritize partners and content that the models already reward, then fill the specific gaps the analysis exposes.
Marketing LeadersRevOps Leaders
06
The right first content move is unique to every vendor
Because everyone starts with a different baseline of existing content, there's no universal first step. Some companies show up strong on thought leadership but have no technical FAQs; others need to answer a better-ranked competitor, correct negative brand sentiment, or update the story after a pivot or new product. You fix your biggest gap, not a generic checklist.
Why it matters: Diagnose before you produce. Identify where you're weakest or most misrepresented in LLM rankings, and let the specific objective dictate the content strategy.
Marketing LeadersFounders
07
Prove partnership ROI in the board's language: TAM to penetration to win rate
Partnerships get stereotyped as fuzzy because teams either chase only long-term home runs or report metrics (like partner-influenced revenue) that a CRO chasing pipeline and bookings doesn't value. The fix is to model it like any other channel: TAM, then persona overlap, then a penetration assumption per quarter, pipeline conversion, and win rate into new bookings.
Why it matters: Frame partnerships with the same funnel math as marketing and outbound so leadership can compare it apples-to-apples — and stop losing the budget argument.
Revenue ExecutivesRevOps Leaders
08
Account mapping is pointless without persona overlap
Two partners can share thousands of overlapping accounts and still generate nothing if you have the technical buyer and they have the marketing buyer. The productive exercise is to look at TAM and personas the way the marketing team would, and quantify where the persona-level overlap actually is before counting logos.
Why it matters: Qualify partners on persona alignment, not just account overlap. Misaligned buyers make even a huge shared account list a dead end.
RevOps LeadersRevenue Executives
09
The most-overlooked ROI of partnerships is higher net dollar retention
Everyone measures top-of-funnel — leads, conversion, sales-cycle compression — and almost nobody measures retention. PartnerStack's cross-portfolio benchmarks show partner-managed revenue at roughly 130 NDR versus about 105 on the core business (and ~108 on partner-sourced), plus better gross retention and often lower cost-to-serve, because partners understand and expand the product.
Why it matters: Cohort your NDR and GDR by partner-sourced, partner-managed, and direct. If partners compound retention, you have a mathematical case that makes the whole strategy a no-brainer.
Customer SuccessRevenue ExecutivesRevOps Leaders
10
Segment your partners the way you segment customers — and weight the whole portfolio
Apply the same discipline you use on customers (ICP scores, tiers, segmentation) to the partners managing your business, and distinguish partners who refer but don't manage from those who manage but don't refer. A tiny customer inside a large partner's book is far more important than its standalone ARR suggests, because the partnership's integrity rides on it.
Why it matters: Align customer-success org design to the partnership strategy so support prioritizes accounts by their partner-portfolio value, not just their individual size.
Customer SuccessRevOps Leaders
11
Stage partnership investment: skip it pre-PMF, then invest early but patiently
From zero to roughly five, while you're still proving product-market fit, you usually don't need a partnerships hire (unless the vertical is partner-led by nature). Once you understand your best-fit customers and can map them to partners with access to that persona, you invest. Good partnership orgs eventually deliver 30-40% of total company revenue, alongside sales and marketing as a third pillar.
Why it matters: Don't dump 30% of GTM spend into partnerships on day one, but don't wait either — the number-one failure is starting too late, because partnerships take longer to incubate than a paid-marketing funnel.
FoundersRevOps LeadersRevenue Executives
12
Reinvention is the job — keep a beginner's mindset and stop doing last year's role
Mike's operating principle is 'the only thing I know is that I know nothing.' Experience helps but can also blind you to a new context. The hardest discipline as you get promoted is to stop doing the job you did the year before instead of carrying it forward with a new title — and, as a CRO, to resist getting sucked into deals so you can build systems, tooling, and framework four quarters out.
Why it matters: Each new role demands a deliberate step back to relearn the context. Protect time for the systems work only you can do, and treat constant change — including the AI shift — as the baseline, not the exception.
Revenue ExecutivesFoundersSales Leaders
13
As app-building costs collapse, the ecosystem becomes the moat
Twelve months out, Mike expects the AEO landscape to churn like Google's SEO-algorithm era, with ChatGPT and Claude weighting content differently, and a decisive move toward authenticity and trust. Because it's now cheap to build applications, product alone is a thinner moat — the durable advantage is a broad, diverse ecosystem of partner-evangelists.
Why it matters: Invest in ecosystem breadth now. Companies that rely solely on sales and marketing will have a harder time; those with the most partners championing them will win the AI-recommendation game.
FoundersRevenue ExecutivesMarketing Leaders