How to improve your odds of being recommended by ChatGPT

By Vladimir Boldyrev · LLMBrandScan · Published July 31, 2026 · Updated August 10, 2026

There's no algorithm to reverse-engineer here — OpenAI hasn't published mention criteria, and none exists to game. What follows are the levers with an actual mechanism behind them, in order of how much control you have over each.

1. 1

   Publish specific, checkable facts, not marketing language

   Exact pricing, exact feature lists, exact limitations — a model has nothing concrete to extract from "industry-leading" or "best-in-class," and vague copy is exactly what gets paraphrased into nothing.

2. 2

   Get covered by third parties the model already trusts

   Independent reviews, comparison articles, and industry roundups feed training data and retrieval alike. A brand that only talks about itself has a thinner footprint than one covered elsewhere.

3. 3

   Keep pricing and feature pages current

   Stale pricing pages are a common source of wrong answers — if your $49/mo plan became $79/mo eight months ago and the page still says $49, that's the number a model is more likely to surface.

4. 4

   Make comparisons to competitors explicit and fair

   A head-to-head comparison page that's honest about tradeoffs is more citable than one that's obviously self-serving — models (and humans) discount content that reads as pure marketing.

5. 5

   Structure content for direct extraction

   Clear headings, a direct answer near the top of a section, and factual claims stated plainly — the same discipline AEO focuses on — make it easier for a model to lift an accurate summary.

6. 6

   Fix name collisions and disambiguation problems

   If your brand name collides with another company, a common word, or a discontinued product, say so explicitly somewhere crawlable — an llms.txt "Notes for AI assistants" section is a good place for this.

7. 7

   Measure, don't guess

   Run your actual category questions against ChatGPT (and the other engines your buyers use) repeatedly, and track the trend. Without a baseline, you can't tell whether any of the above actually moved anything.

Three things that don't work

• Paying for "guaranteed ChatGPT placement" — no vendor controls what OpenAI's models generate.
• Keyword-stuffing a page the way you might for classic SEO — there's no ranking algorithm being targeted, so there's nothing to stuff for.
• Chasing a single favorable response and declaring victory — one answer is close to random; see the citation below.

Why models lean toward brands you already know

How do you get ChatGPT to recommend your brand? Honestly: you cannot make it, and anyone selling guaranteed placement is selling something they do not control. ChatGPT composes category answers from its training data and, when browsing is active, from live retrieval, so both what was written about you before the training cutoff and what is indexed today affect whether you are named. OpenAI publishes no mention or citation criteria, so there is no ranking formula to reverse-engineer. What research does show is a systematic lean toward established incumbents: a study of 3,750 responses across 50 brands (arXiv 2606.17443) found models favor the brands they have seen most, and that any single response is a weak signal. So the first practical step is not a tactic at all — it is asking your category question many times and counting how often you actually appear.

The practical upshot: incumbents have a real head start, but the levers above are exactly the ones GEO work is built on, and none of them requires being the incumbent — they require being accurate, well-covered, and easy to extract from. The only way to know if any of it's working is to test your own category questions against ChatGPT directly, repeatedly, and track the trend.

Why does ChatGPT recommend my competitor?

Three causes, worth ruling out in this order because they take wildly different amounts of work to fix.

Your name is ambiguous. If the brand name collides with a common word, another company, or a discontinued product, the model may be answering about something else entirely. Cheapest to check and cheapest to fix.

Your facts are not extractable. If your pricing page says “flexible plans for growing teams” and your competitor's says “$49 per month, 5 seats included,” only one of those is quotable. Fixable in a week.

They have more third-party coverage. The hardest one, and the most common. The model leans on reviews, roundups and comparison articles written by other people, and that footprint takes months to build rather than days.

Before acting on any of the three, ask the question several times. The single most frequent mistake here is diagnosing a strategy problem from one answer that would have come out differently on the next run — see why one check is not enough.

Frequently asked

How do I get my brand mentioned by ChatGPT?

There is no setting to change and no placement to buy. You improve the inputs the model draws on: state exact facts about your product on your own pages, get covered by third parties the model retrieves from, keep pricing and feature pages current, and resolve any name collisions explicitly. Then measure whether mention rate actually moved, because without a baseline you cannot tell the difference between a working tactic and a lucky answer.

Why does ChatGPT recommend my competitor instead of me?

Usually because the model has seen more written about them, by other people. Published research on 3,750 responses across 50 brands found a systematic lean toward established incumbents. Two other causes are worth ruling out first: your own pages may state facts too vaguely to be extracted, and your brand name may collide with another entity. Ask the same question several times before concluding anything - a single answer is close to noise.

Does ChatGPT use my website when it answers?

Sometimes. When browsing or a connected search tool is active it can retrieve live pages, including yours. Without browsing, it answers from training data, which reflects what was published before the cutoff and weights third-party coverage heavily. This is why changes to your own site can show up immediately in one mode and not at all in the other.