AI assistants — tools like ChatGPT, Gemini, and Perplexity — tend to quote short, content-rich lines from your Google reviews rather than summarising your overall star rating. They look for specific, verifiable details that directly answer a user's question. If your reviews are full of vague praise, there may be very little for an AI to actually quote.

Why AI may quote short, content-rich review lines

When someone asks an AI assistant a question like "Is there parking at that café in Galway?" or "How long is the wait at that GP in Cork?", the AI scans available text for a direct answer. Your Google Business Profile (GBP) — the free listing that appears on Google Maps and in local search results — is one of the first places it looks.

Within that profile, your reviews are a rich source of natural language. But not all review text is treated equally. In our measurements, AI assistants consistently favour:

  • Short, standalone sentences that make a clear claim ("Parking is free in the lane behind the shop.")
  • Specific details rather than general impressions ("The wait was about 20 minutes on a Saturday" beats "always busy but worth it")
  • Lines that appear more than once across different reviews, which signals consistency

This is sometimes called GEO — Generative Engine Optimisation — meaning the practice of shaping your online content so that AI-generated answers reflect your business accurately. It is different from traditional SEO, which focuses on ranking in a list of links.

The practical implication: a review that says "Great spot, highly recommend" gives an AI nothing to quote. A review that says "They do walk-ins on weekday mornings and the price was very fair for Dublin" gives it two quotable facts.

The impact of repeating key service details (parking, wait times, pricing)

Repetition matters more than you might expect. When multiple reviewers independently mention the same detail — say, that your salon near Grafton Street has a car park two minutes away — AI assistants treat that as reliable, corroborated information.

Think about the questions your customers actually ask before visiting:

  • Is there parking nearby?
  • How long will I be waiting?
  • Is it expensive?
  • Do they take walk-ins or do I need to book?
  • Is it suitable for children or elderly people?

If those answers appear in your reviews, they can end up in AI-generated responses. If they do not, the AI either skips your business or gives a vague non-answer.

This is worth bearing in mind when you ask customers to leave a review. You do not need to script what they say — that would breach Google's guidelines — but you can prompt them naturally: "If you found the parking handy or the wait shorter than expected, it really helps others to know that."

For businesses listed on platforms like Tripadvisor or Booksy alongside Google, the same principle applies. See where AI assistants pull reviews from for a breakdown of which sources tend to carry more weight.

How misleading or off-topic reviews get treated

AI assistants are not perfect editors. They generally try to avoid quoting reviews that are clearly off-topic — a one-star review complaining about road works outside your premises, for example, or a review that was obviously left for the wrong business.

Typically, AI tools handle these cases by:

  • Ignoring outliers that contradict the majority of reviews on a specific point
  • Skipping reviews with no factual content (pure sentiment, no details)
  • Weighting recent reviews more heavily than older ones

However, if misleading reviews dominate your profile — for instance, if several reviews mention long queues that no longer exist because you changed your booking system — the AI may still quote that outdated information. There is no automatic correction mechanism.

This is one reason why replying to reviews matters beyond just customer relations. A well-written owner reply that says "We moved to an online booking system in 2024, so wait times are now much shorter" adds new, accurate text to your profile that AI can also read.

Review type Likely AI treatment
Short, specific, factual Likely to be quoted directly
Vague praise only Usually skipped
Outdated but repeated May still be quoted
Off-topic or clearly wrong business Typically ignored
Owner reply with updated facts Can be quoted as context

How to create a review profile that helps AI answer correctly

You cannot write reviews yourself, and you should not offer incentives for positive ones — both practices violate Google's policies. But you can shape the conditions that lead to useful, quotable reviews.

Prompt naturally after a good experience. When a customer says they found the place easily or that the price was better than expected, that is your moment: "It would mean a lot if you mentioned that in a Google review — it helps people who are wondering the same thing."

Keep your GBP accurate and detailed. The more information you provide in your business description, services, and Q&A section, the more context AI has. If your description mentions free on-site parking, that reinforces what reviewers say.

Respond to reviews with factual updates. If something has changed — new opening hours, a new service, a resolved issue — say so clearly in your reply. AI reads owner responses too.

Flag genuinely false reviews. Google allows you to report reviews that violate its policies. If a review is factually wrong and damaging, use the flag option in your GBP dashboard rather than leaving it to accumulate.

For a broader view of how star counts and review volume interact with AI answers, see what ratings vs review counts mean to AI assistants.

How to use suggestedby.ai to see which review lines were used

Knowing that AI assistants quote from reviews is one thing. Knowing which lines they actually quoted about your specific business is another.

suggestedby.ai runs a free check that shows you whether an AI assistant mentions your business when someone asks a relevant local question — and, where visible, what it says. This lets you see whether the AI is quoting accurate details, outdated information, or nothing at all.

If the result shows your business being described by something a customer wrote two years ago that no longer applies, you know exactly where to focus: encourage newer reviews that reflect how things are today, and update your owner replies to add current context.

The goal is not to game the system. It is simply to make sure that when an AI answers a question about your type of business in your area, the information it draws on is accurate and genuinely useful to the person asking.