Here's the detail almost nobody in the deal coverage mentioned: no standard due diligence framework measured what AI systems say about Thorne when a buyer asks for a supplement recommendation. Independent analysts who probed the brand across ChatGPT, Gemini, and Perplexity after the announcement found real, defensible equity in one dimension of AI-mediated commerce and a near-total gap in another — an asymmetry that was priced into exactly zero pages of the deal book.
That's a $3.8 billion transaction where a growing share of the purchase behavior driving future revenue was invisible to the diligence process.
If you're a founder or operator building toward an eventual exit — or just building enterprise value — this post is about a simple idea most agencies won't say out loud: AI search visibility isn't a marketing expense. It's a transferable business asset. And the market is starting to price it whether diligence checklists have caught up or not.
The core claim: When AI systems consistently recommend your brand in your category, that recommendation equity behaves like an asset — it compounds, it transfers with the business, and it's structurally difficult for competitors to displace. But because it doesn't appear as a line item anywhere, it's systematically underpriced by sellers and overlooked by buyers.
Consider what the data now shows about where buying decisions actually start:
Traditional diligence audits the first asset thoroughly: organic traffic, rankings, domain authority, paid efficiency. The second asset — whether AI systems name you when a buyer describes their problem — appears on no standard checklist.
Marketing spend usually depreciates. Stop the ads, the traffic stops. AI recommendation equity behaves differently, for a mechanical reason: authority loops.
Generative engines synthesize answers from a small number of sources. Once a brand is repeatedly cited in a category, it becomes part of the corroboration web that engines check against — which makes it more likely to be cited again, which strengthens the corroboration further. Industry analysis of AI answer selection describes this directly: once a small set of sources dominates a category's answers, it becomes structurally difficult for newcomers to break in.
That has two implications, depending on which side of the loop you're on:
This is the difference between an expense and an asset. An expense buys this quarter's visibility. Authority-loop position buys a structural advantage that the next owner inherits — and that a competitor can't replicate by simply outspending you next quarter.
You don't need to be selling to P&G for this to matter. Every valuation conversation — acquisition, investment, partnership, even bank financing — ultimately reduces to one question: how durable is the revenue?
AI recommendation equity is becoming part of that answer in three specific ways:
It won't show up in diligence as a line item. It'll show up in the price.
You can get a directional read in an afternoon. Run this exercise before any agency conversation:
If you came out of that exercise consistently absent while competitors were named, you have a gap that compounds against you every quarter it goes unaddressed — and an asset your eventual buyer will get for free from whoever does own the category's answers.
Most companies still book search visibility work as a marketing expense and evaluate it on this quarter's lead flow. That framing made sense when visibility meant rented ad positions and volatile rankings.
It doesn't fit an environment where recommendation equity compounds, transfers, and increasingly gets probed by the analysts advising your future acquirer. The right comparison isn't ad spend. It's the other things you invest in specifically because they show up in enterprise value: proprietary data, retention infrastructure, brand.
The companies that internalize this early get a double return — the lead flow now, and the asset later. The ones that don't will discover the gap at the worst possible moment: in a deal room, priced by someone else.
We run AI Visibility Snapshots for B2B software and professional-services firms — a baseline read of your recommendation equity across ChatGPT, Perplexity, Gemini, and Google AI Mode, delivered on a call with a prioritized plan for closing the gaps. Book a strategy call to get yours.