How do I check what AI engines say about my brand?

Ask the five engines your customers use - ChatGPT, Perplexity, Gemini, Claude, and DeepSeek - the same category and brand-name prompts, then record four things for each answer: are you mentioned, where you rank, are you cited with a clickable link, and is the sentiment positive, neutral, or negative. Do it by hand for a free snapshot, or automate the tracking so you catch changes over time.

The free manual method, step by step

You do not need a tool to see how AI describes your brand. You need a short prompt list and 30 minutes. Work through it in order:

  1. Write 3-5 category prompts a buyer would type without knowing your name, like "best project management tools for agencies" or "top payroll software for small business".
  2. Write 2-3 direct brand prompts that name you: "What is [your brand]?", "Is [your brand] any good?", "[your brand] vs [competitor]".
  3. Run every prompt in a fresh session in ChatGPT, Perplexity, Gemini, Claude, and DeepSeek. Use a logged-out or incognito window so your own history does not bias the answer.
  4. For each answer, log four columns: mentioned (yes/no), rank (where you appear in a list, or n/a), cited (is there a link to your site), and sentiment (positive, neutral, negative, or wrong).
  5. Repeat the whole set a few days later. Answers drift, so one run is a snapshot, not a trend.

Starter prompts you can copy

Swap the brackets for your brand, category, and top competitor:

The category prompts tell you whether the engine surfaces you at all when nobody names you. The brand prompts tell you what the engine believes about you, which is where hallucinated features, wrong pricing, or a competitor's talking points tend to show up.

What counts as a mention vs a citation

These are different signals and people conflate them. A mention is your name appearing in the generated text. A citation is a linked source the engine points to, usually numbered or footnoted, that a reader can click.

We ran "best time-tracking apps for freelancers" in Perplexity. The answer listed Toggl, Harvest, and Clockify in the prose - three mentions. But the sidebar cited only two URLs: a G2 listicle and Toggl's own pricing page. So Toggl earned both a mention and a citation, while Harvest and Clockify were mentioned but not cited. Getting mentioned puts you in the answer; getting cited sends you traffic and reinforces the engine's trust in your site.

When you log your own results, track both. A brand can be described positively and still never get a clickable link, which means AI is shaping opinion about you with zero attribution back to your site.

Where the manual method breaks down

Checking by hand is the right way to start, and it is free. It also has real limits:

This is the gap avisibli closes: it runs your prompt set across ChatGPT, Perplexity, Gemini, Claude, and DeepSeek on a schedule, then logs mention rate, rank, citations, and sentiment over time so you can see the trend and get alerted when it moves. The manual method above is genuinely useful for a one-time read. Automation matters once you need to prove a change or catch a regression.

avisibli is the GEO platform that publishes this answer library. Self-references are limited to topics where a tool-based answer is genuinely useful to readers.

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