AI-Era Store Discovery
Tomohiro Iida · Published June 26, 2026
When someone asks ChatGPT, Perplexity, or Google's AI Overviews for 'a good cafe near me,' the AI may name specific businesses directly, with source links, instead of just returning a list of results to click through. But there's no way to guarantee any particular AI will name your business: which businesses appear varies by query, location, time, and which AI is used, and no technique makes inclusion certain. What a business can control is the accuracy and consistency of the information an AI actually relies on — official website, Google Business Profile, map listings, review sites, and any third-party mentions. This article covers that groundwork: the local SEO fundamentals search engines and AI both depend on, content that's easy for AI to cite, honest handling of reviews and third-party mentions, and how ChatGPT, Perplexity, and Google's AI Overviews each retrieve information.
Key takeaways
- How AI names specific businesses is inherently unreliable and varies by query, location, time, and user — no technique guarantees a listing.
- The foundation is local SEO: AI draws on information published on the web (a business's official site, Google Business Profile, map listings, reviews, and third-party mentions), so these need to be accurate and consistent with each other.
- Beyond that, publishing address, hours, menu, and features in an AI-friendly way, and building genuine reviews and mentions over time, improves the odds of being included. Fake or paid reviews violate platform guidelines and should be avoided.
How AI decides which businesses to mention
When someone asks an AI for 'a cafe near me,' ChatGPT, Perplexity, and Google's AI Overviews can generate a short list of specific businesses with source links, rather than returning search results to click through. The AI isn't drawing on any special local knowledge of its own — it builds its answer from information published on the web: a business's official site, Google Business Profile, map and review sites, and any third-party coverage. Accurate, consistent public information is therefore a precondition for being considered at all. This behavior is also inherently unpredictable: the same 'cafe near me' query can return different businesses depending on location, timing, and which AI is used. No technique guarantees a mention — this is about improving the odds, not promising a result.
What information AI relies on
| Source | Role |
|---|---|
| Google Business Profile | Central hub for name, address, phone, hours, category, photos, and reviews — most directly tied to maps and local results |
| Official website | The only source a business fully controls — states hours, menu, pricing, and features without ambiguity |
| Map and review sites | Listed information becomes part of what AI relies on; conflicting details across sites make it harder for AI to judge accuracy |
| Third-party mentions | A trust signal — news, local media, blogs, and social media coverage |
The foundation: local SEO
- Google Business Profile: register and accurately fill in name, address, phone, hours, category, photos, and menu. Keyword-stuffed names that don't reflect reality violate platform guidelines. Keep hours and photos updated.
- NAP consistency: match Name, Address, and Phone number exactly across the website, Google Business Profile, review sites, and social media — even small formatting differences can make AI treat listings as different businesses.
- Structured data: add schema.org markup (LocalBusiness, or a category-specific type such as Restaurant) so address, hours, price range, and menu come through accurately. It's a supplement — it must match the page's visible text.
- Indexing and crawling: the site needs to actually be crawled and indexed. Misconfigured noindex tags, robots.txt blocks, or content that only renders via client-side JavaScript can prevent information from being retrieved at all.
How ChatGPT, Perplexity, and AI Overviews differ
- ChatGPT (OpenAI)
- Its web search feature uses OAI-SearchBot, separate from GPTBot (used for training). To be considered in ChatGPT's search results, don't block OAI-SearchBot in robots.txt.
- Perplexity
- Searches the web and cites sources explicitly, using PerplexityBot. Not blocking it is a precondition for appearing in its answers, including for local, 'near me' style queries.
- Google's AI Overviews
- Built on ordinary Googlebot indexing rather than a separate crawler. Keep Googlebot able to crawl the site and keep Google Business Profile complete. Google-Extended is a separate control token — not a crawler — governing training/grounding use only; blocking it doesn't affect Search rankings or AI Overviews.
Content, reviews, and third-party mentions that help
- State the essentials first and clearly (what kind of business, where, hours, rough pricing), and answer likely questions directly — whether children or parking are welcome, whether there are vegetarian options — so AI can pick these up when constructing an answer.
- Give concrete details — seating capacity, private rooms, reservation method, payment options, walking time from the nearest station — rather than vague descriptions; specific figures and conditions are easier for AI to present as a candidate.
- Keep information current across the official site and Google Business Profile. Outdated hours, closures, or menus can lead AI to describe a business incorrectly, causing problems for customers who show up expecting something different.
- Build reviews honestly. Asking satisfied customers for reviews is fine; paying for positive reviews, asking people who never visited to write them, or faking reviews violates platform guidelines and risks delisting or account suspension. Genuine reviews built up over time work better long-term. Reply to reviews, including negative ones, with a considered, appreciative tone.
- Let third-party mentions (local media coverage, events, collaborations with other businesses) grow from real activity rather than fabricated achievements, and keep photos and menu information current in both places — real photos of food, interior, and exterior help both customers and AI understand what a business actually offers.
Limits and a realistic approach
- Not appearing for a query isn't automatically a problem to fix — first check whether that AI names specific businesses at all for that kind of query, and whether the location was communicated correctly.
- Assume variability: results change by phrasing, location, timing, and user, so a single test — appearing or not appearing once — isn't a reliable read of a business's status.
- Measure results holistically — Google Business Profile insights (views, direction requests, calls), site traffic, and reservations or inquiries — rather than trying to precisely isolate AI-driven visits alone, which is difficult to do.
- Investing in the fundamentals — a business that's correctly findable, consistent, and backed by real customer experience — tends to help across every AI, search engine, and map service, rather than betting on one specific AI or a short-lived trick.