Query Fan-Out: How ChatGPT and Google AI Mode Search for a Restaurant

"Query fan-out". The term hides one of the mechanisms that weighs the most on your AI visibility, and it hits hard in Google AI Mode (Google AI Overviews).

The principle

When a diner asks "where should I have dinner for a birthday in Lille?", the AI doesn't fire off a single search. It generates several sub-queries and runs them in parallel:

• "birthday restaurant Lille"
• "festive group restaurant Lille"
• "best table Lille reviews"
• "restaurant Lille reservation large group"

Then it merges the results. You only show up in the final answer if you surface on several of these variants.

ChatGPT

ChatGPT leans heavily on the Google ecosystem (Web Search + Places), with editorial sources and aggregators on top. Its fan-out is wide and rewards multi-source consistency. A place that shows up consistently everywhere wins the merge.

Google AI Mode / AI Overviews

Google AI Mode (and the AI Overviews that show up directly in search results) pushes fan-out to its limit. Google splits each query into intent clusters, hits its index on every variant, then writes a single answer. Google's edge: the richest signals on the market (Maps, reviews, freshness, domain authority). For a restaurant, the consequence is blunt. To stand a chance of appearing in those summaries, you need to be present, consistent and well-structured across the whole Google ecosystem: complete Maps listing, indexed site, schema.org, recent reviews. That's the entry ticket, not the edge.

Why this changes your strategy

The classic mistake is optimising for one query ("best restaurant [city]"). With fan-out, you need to cover a spread of intents: occasion, persona, cuisine type, constraint (terrace, gluten-free, late-night).

That's exactly what RestoRank's Explorer module measures. A prompt library covering location × persona × topic, so you can see which variants you show up on, and which ones your competitors beat you on.

The takeaway

Stop thinking "keyword". Think diner intent. Fan-out, particularly aggressive in Google AI Overviews, rewards wide coverage and consistency, not over-tuning a single phrase. Question to ask yourself tonight: out of the 10 possible variants of "where to dine this weekend + [your city]", on how many does your place come up?