Question 1

What is LLM visibility?

Accepted Answer

LLM visibility is how often, how accurately, and how favourably a brand is named when people ask AI assistants like ChatGPT, Claude, Gemini, and Perplexity for recommendations. Unlike a Google ranking, there is no results page to check — the answer is generated fresh each time, so visibility is measured by running the same buying questions repeatedly across models and recording who gets mentioned.

Question 2

How do I check if ChatGPT mentions my brand?

Accepted Answer

Ask the model the questions your customers actually ask — for example "best wellness studio in Lisbon" — across several phrasings and models, then log which brands appear, in what position, and with what sentiment. This audit automates that: it generates 12 category- and region-specific queries, runs them across ChatGPT, Claude, Gemini, and Perplexity, and returns a 0–100 visibility score with the exact answer text.

Question 3

What is answer engine optimization (AEO)?

Accepted Answer

Answer engine optimization is the practice of making a brand easy for AI answer engines to retrieve, quote, and recommend. In practice that means clear entity definitions, consistent naming across the web, factual pages that answer buying questions directly, third-party mentions in sources models trust, and structured data. It complements SEO rather than replacing it — the same content still has to be crawlable.

Question 4

How is AEO different from traditional SEO?

Accepted Answer

SEO competes for a slot on a results page; AEO competes to be the source an answer is built from. SEO rewards backlinks and keyword coverage, AEO rewards unambiguous facts, citations from sources the model already trusts, and content shaped as direct answers. A page can rank on Google and still be invisible in ChatGPT if the model has no clear evidence of what the brand is or who it is for.

Question 5

Why does AI recommend my competitors instead of me?

Accepted Answer

Usually because the model has more consistent third-party evidence about them: directory listings, reviews, press, roundups, and clear category-plus-location descriptions. Models favour brands they can describe confidently. The audit surfaces the top five competitors named across your queries, which platforms named them, and which specific questions you lose, so the gap is fixable rather than abstract.

Question 6

How does AI visibility affect growth marketing?

Accepted Answer

AI assistants increasingly sit at the top of the funnel, shortlisting brands before a visitor ever reaches a search results page or an ad. If you are not in that shortlist, paid acquisition has to work harder to recover demand you never saw. Tracking LLM visibility alongside your usual growth metrics shows where organic demand is being intercepted before it reaches you.

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