15 questions restaurant guests ask AI, and what answers them
A diner no longer scrolls ten blue links. They ask an answer engine where to eat, and it names two or three places in a sentence. Here are 15 questions guests actually ask, and the exact thing your site needs so the restaurant it names is yours.
Diners do not scroll ten tabs anymore. They ask an answer engine one question, "best rooftop restaurant in Bandra for a date" or "vegan thali near me open now," and eat wherever it names. The engine names the restaurant it can read and confirm, not the restaurant with the best food.
This is why a genuinely great restaurant gets skipped. Its menu lives in a photo, so the engine cannot quote a single dish off it. Its hours live in a JPEG on the homepage, so the engine cannot confirm it is open right now. Its dietary options live in an Instagram caption from eight months ago, so the engine has nothing current to point at. None of that is a taste problem. It is a text problem.
Below are 15 real questions diners type into an answer engine, in the spirit of the site's question index and the patterns behind why restaurants get skipped by AI. For each one, the fix is not to cook better. It is to move the fact from a place a machine cannot parse to a place it can.
The 15 questions, and the fix for each
These are the kinds of prompts diners type into an answer engine, drawn from the restaurant rows of the question index and the patterns behind why restaurants get skipped by AI. For each one, the fix is not to be a better restaurant. It is to move the answer from a place a machine cannot read to a place it can.
An answer engine cannot see the view in your hero photo. It can only read words. Add Restaurant JSON-LD with a real description field that says "rooftop seating" and "skyline view" in plain text, and repeat that phrase in the visible copy on the page, not just the alt tag.
Write the ambience as a sentence, not a slideshow.
Two facts have to be checkable at once here: vegan, and open now. List openingHoursSpecification with your real daily hours so the engine can do the "now" math, and put the word "vegan" as literal text on the menu page, not only inside a logo graphic.
The word "vegan" has to exist as text somewhere on your site.
This question has three facts bundled together: location, party size, and whether you take bookings at all. Set acceptsReservations to true in your schema, and add a plain sentence like "we seat groups up to 12 with advance notice" so the engine has a number to match against.
State the group capacity in text, since schema alone rarely carries it.
priceRange value like "₹" or "₹₹" to your Restaurant schema, set servesCuisine to "South Indian", and write your address with the landmark spelled out, "two minutes from MG Road metro," rather than only in a map embed.If your menu is a PDF or a photo, the engine cannot see a single ingredient on it, gluten-free or otherwise. Rebuild the menu as real HTML text with each dish name and a short dietary tag next to it, "gluten-free," "contains nuts," and so on.
A menu the engine can quote beats a menu that only looks nice.
FAQPage block with a question like "Do you have a kids menu?" and a direct two-sentence answer. This is exactly the shape an answer engine likes to lift and quote back to a parent typing that prompt at 6pm with a hungry toddler.There is no dedicated schema field for "pet friendly," so this has to live as plain descriptive text on the page: "dogs welcome on our outdoor patio." Put it in a visible sentence near the top of the page, not buried at the bottom of a long about-us paragraph.
When schema has no field for a fact, write the fact anyway.
hasDeliveryMethod or an OrderAction, and make sure your openingHoursSpecification covers the actual late-night window, not just your dine-in hours.Add AggregateRating to your Restaurant schema, pulling the real rating value and review count straight from Google or Zomato, never a rounded-up guess. Pair it with servesCuisine set to "Italian" so the two facts the engine needs, cuisine and reputation, sit in the same block.
Only use numbers you can point to on a live review page.
openingHoursSpecification and a short answer-first line near the top of the page, "Open daily, 11am to 11pm," that a human and an engine can both read in one glance.servesCuisine to something specific like "Jain" or "North Indian, Jain options," and list the actual Jain-friendly dishes as text on the menu, no onion, no garlic, spelled out rather than implied by a green dot icon on a scanned image.FAQPage entry, "Do you do weekend brunch?", answered with the exact hours and what is included. Repeat the same fact as an answer-first heading on the page itself, "Weekend brunch, 11am to 3pm, bottomless mimosas ₹999," so there is no gap between what the schema says and what a visitor sees.acceptsReservations to false or "not required" in schema so the structured data and the plain-text claim agree with each other.amenityFeature entries for wifi and a quiet dining area, and back them up with a plain sentence in your about section, "free wifi, low background noise, ideal for a working lunch." Say the amenity in words, since a photo of an empty table proves nothing to an engine.servesCuisine and state your halal certification as literal text on the page, not just a certificate photo in the gallery. Write the address with the landmark spelled out, "eight minutes from the airport," so location and dietary status can both be confirmed from the same page.Why structured data is the divider
I have not scanned restaurants specifically yet, so I will not invent a restaurant number here. But the pattern already shows up clearly in two verticals I have scanned. In a scan of 16 clinic websites, the sites with no structured data had a median readability score of 54, against 80.5 for the ones that had it. In a scan of 25 hotel websites, the sites with structured data scored a median of 83.5, against 56 without it.
Same divider, two different industries: structured data is the clearest line between a site an answer engine can confirm facts on and a site it has to guess about. Restaurants are not special here. The same gap should hold. They just add one more failure mode on top of it, the menu as a photo, which locks away the exact dish and dietary facts a diner is asking about.
The full breakdowns are in the clinic study and the hotel questions post. If writing JSON-LD by hand sounds like a chore, the schema generator reads your page and drafts a correct Restaurant block for you to paste.
The pattern under all 15
You do not need all 15 fixes this week. Pick the one question closest to what your actual guests ask, hours, dietary, reservations, whatever it is, and fix that single fact first: turn it into text an engine can read, not a graphic it has to guess at.
If you want to see where your own restaurant's homepage stands, the free Report Card tool scores it out of 100 in about ten seconds, no signup, and tells you exactly which of these facts are missing.
Frequently asked questions
Do I need a reservation system integration for acceptsReservations to work?
No. The schema field just states whether you take reservations at all. You can set it to true and still take bookings over WhatsApp or by phone. The point is giving the engine a plain yes or no answer, not proving you have a booking platform.
My menu changes often. Is it worth typing it out as HTML text?
Yes, even a simplified version helps. You do not need every seasonal special listed. A stable core menu with dish names, price range, and dietary tags as real text gives an engine something to quote, which a photo or PDF never will.
Will adding this structured data actually make ChatGPT recommend my restaurant?
It removes a reason to skip you, it does not guarantee a mention. Answer engines still weigh reviews, mentions elsewhere, and relevance to the question. Structured data and readable text are the floor, not the whole answer.
Where do I even put openingHoursSpecification if I am not a developer?
It is a small JSON-LD block that goes in your page's head section, and most website builders let you paste custom code there. If you are unsure what your current markup looks like, the Report Card tool flags whether it is present before you touch any code.