“How do I get ChatGPT to recommend my company?” is now a normal question from buyers. The honest answer has three parts: here is the mechanism, here is what influences...
“How do I get ChatGPT to recommend my company?” is now a normal question from buyers. The honest answer has three parts: here is the mechanism, here is what influences it, and here is what nobody can promise.
When ChatGPT names companies in a category, the names come from two places: patterns absorbed during training, and — when browsing is active — sources retrieved at answer time. Neither is a ranking system you can submit to. Both ultimately trace back to what the wider web says about who operates in your category.
The practical consequence: your own website is necessary but rarely sufficient. Your site establishes what you are; other sites establish that you are worth naming.
| Lever | Leverage | Why |
|---|---|---|
| Presence in vendor-listing sources | Highest | Directly the material naming behaviour is drawn from |
| Entity resolvability | High | An ambiguous brand cannot be attributed to confidently |
| Consistent descriptors | Medium-high | Being described the same way everywhere reinforces the association |
| Retrievable, well-structured pages | Medium | Matters most when browsing is active |
| Publishing more definitional articles | Low | In our own testing, awareness-stage prompts produced zero vendor names at all |
Four rules make the difference between a real measurement and a flattering one:
Most agencies claim AI visibility. Very few publish how they measure it. Here is our method, in full:
| Step | What we do |
|---|---|
| 1. Prompt set | We build 50–100 prompts a real buyer in your category would type. None of them contain your brand name — the point is to see whether the model brings you up unprompted. |
| 2. Engine runs | Each prompt is run against the AI engines in scope, on a fixed date, and the raw answers are stored so you can audit them later. |
| 3. Scoring | Mention Rate (% of answers naming your brand) · Citation Rate (% citing your domain) · Share of Model (your mentions ÷ all competitor mentions). |
| 4. Competitor board | The same run tells you which brands the model currently treats as the category leaders. |
| 5. Re-measure | Same prompt set, same engines, 90 days later. Movement is comparable because nothing about the test changed. |
What we do not claim: engine coverage is stated explicitly in every report. A measurement against one model is not a measurement of Google’s AI Overviews, and we will never present one as the other.
Not in organic answers. Advertising products are separate and clearly labelled where they exist.
It helps retrieval systems understand your site. On its own it does not cause a model to name you — citation behaviour is driven mainly by third-party sources.
Almost always because your competitor appears in the roundups, directories and discussions the model drew on. Our baseline shows exactly which competitors are named and on which prompts.
Quarterly for most brands. More often adds noise rather than insight, because run-to-run variance is real.
Where does your brand stand in AI answers?
Send us your domain. We run the baseline and send your Mention Rate, Citation Rate and competitor board — no charge, no commitment.
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