● The short answer
To check whether AI assistants recommend your brand, build a fixed list of 15 to 30 questions real customers ask, run each in ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews in clean sessions, and record whether you are named, how you are described and which sources are cited. Repeat monthly. One-off screenshots mislead because answers vary.
Key takeaways
- AI answers vary by session, location, model and wording, so one screenshot is not a measurement.
- Use a fixed set of 15 to 30 real customer questions across all major assistants, in clean sessions, monthly.
- Record mentions, descriptions, competitors and cited sources; citations show where to focus.
Why one test is not enough
Generative answers vary. The same question can return different businesses depending on the session, the user's location, whether the assistant searched the web, which model version is running and how the question is worded. That is why a single screenshot from your phone, where the assistant may also remember your past chats, is not a reliable read. You need a fixed method, repeated over time.
The how is where we come in.
What we walk through with you, for your business:
- A repeatable test you can run yourself
- What to look for in the results
- Shortcuts and tools
Every business is different, so the plan is too. Tell us where you want to show up and we will show you what it takes.
Talk to usMore questions
Why does ChatGPT recommend me on my phone but not my colleague's?
Personalization and memory. Assistants can use past conversations, saved preferences and location, and your own phone has likely seen you ask about your business before. Test in a logged-out or private session with memory off to approximate what a new customer sees, and compare results across several runs.
How many prompts do I need?
Fifteen to thirty is enough for most small and midsize businesses to see patterns without becoming unmanageable. Include generic category questions, specific needs, comparisons and brand questions. Larger brands with many product lines may need a set per line. Consistency over time matters more than volume.
Sources
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