Every operator I talk to wants to know if ChatGPT mentions their brand. Almost none of them ask the harder question: when it does mention you, what does it actually say? I recently watched a company celebrate a Perplexity citation that described their flagship product with a feature they killed two years ago, a price point that was never real, and a “best for enterprise teams” framing — when they sell exclusively to solo founders. They were cited. They were also wrong. And the model said all of it with total confidence.
This is the blind spot in AI SEO right now. Visibility tracking tells you whether you appear. It rarely tells you whether the description attached to your name would survive a fact-check. For a brand, a confident wrong answer is worse than no answer at all — it pre-loads a prospect with bad assumptions before they ever reach your site.
The mechanic
Here is why this happens. An LLM does not “know” your company. It assembles a description from whatever sources it retrieved or trained on, weighted toward whatever it treats as authoritative. ChatGPT pulls roughly 47.9% of its citations from Wikipedia, plus a heavy share from third-party directories and aggregators. That means the sentence a model writes about you is often a blend of a stale Crunchbase profile, a 2023 review roundup, a competitor’s comparison page, and a forum thread — none of which you control, and most of which are older than your current positioning.
The model then does what models do: it smooths. It takes those fragments and produces one fluent, authoritative-sounding paragraph. Contradictions get averaged away. Outdated facts get stated in the present tense. A single loud negative review becomes neutral-sounding “users report” framing. The output reads like settled truth because the model has no mechanism for sounding uncertain about a brand it considers itself to have “enough” data on.
The compounding problem is freshness. AI engines lean toward sources that look maintained — and a five-year-old directory listing that has never changed still looks maintained to a crawler. So your own three-month-old positioning page competes against a wall of stale third-party text that, in aggregate, outweighs you. If you have never audited what the model says, you are letting the internet’s least-current version of your company do your messaging for you.
What to do this week
1. Run the description audit, not just the citation audit. Ask each major engine — ChatGPT, Perplexity, Gemini, Google AI Overviews — three questions in a clean session: “What does [brand] do?”, “Who is [brand] for?”, and “What does [brand] cost?” Paste every answer into one doc. Read them the way a skeptical prospect would. Flag each claim that is wrong, stale, or off-positioning.
2. Trace each wrong claim back to its source. Ask the model “where did you get that?” and open the cited pages. You will usually find the culprit fast: an outdated directory profile, an old press release, a review site, or your own neglected About page. The fix lives at the source, not in a prompt.
3. Correct the sources you control first, then the ones you can claim. Update your own site — pricing page, About page, product pages — with current facts stated plainly in the opening paragraph, carrying a visible “last updated” date. Then reclaim third-party profiles: Crunchbase, G2, industry directories, your LinkedIn company page. Consistency across all of them is what an entity-resolving model rewards.
4. Publish one canonical “what we are” answer unit. A short, factual block on your site — what you do, who you serve, what it costs — written in plain declarative sentences. This is the passage you want a model to lift verbatim. Make it the easiest correct answer on the entire web to find.
None of this is glamorous. It is closer to data hygiene than to content marketing. But the brands winning AI search are not just the ones that get cited — they are the ones whose cited sentence happens to be accurate, current, and on-message, because someone made it that way on purpose.
If you’re a brand that wants to be the answer LLMs reach for (not just rank on Google), Paris Roussos has been engineering search visibility for 30 years and now runs done-for-you AI SEO. Flat-rate, no-fuss. Email parisroussos@gmail.com.
Being cited by AI search is only half the win — the other half is making sure the sentence with your name in it is one you would actually sign.