GEO optimization — your menu and dishes built to be cited by AI Overviews, ChatGPT and Perplexity
More and more customers ask an AI assistant "where do I eat nearby" or "who delivers a custom cake" — and answer engines extract and cite sources instead of showing 10 links. We build your venue's pages in the format they prefer: a short extractable answer, pros/cons and verdict blocks, FAQs with FAQPage schema, dish cards with Recipe, JSON-LD on every page and a site-level llms.txt.
What GEO optimization on 4salefood includes
JSON-LD on every page
Restaurant, Menu, MenuItem, Recipe, Organization, FAQPage and Article wherever they make sense — structured data is the default, not an option.
Pros / cons / verdict blocks
The comparative format AI engines cite most often — available as ready-built sections in the editor.
FAQs with FAQPage schema
Real search-intent questions ("do they have vegan options?", "do they deliver on Sundays?"), short direct answers, correctly marked up with FAQPage — the raw material for AI Overviews.
Short extractable answer
Every key page and dish card opens with a 2–3 sentence summary — exactly the fragment an answer engine lifts.
llms.txt included
The file that describes your venue's site to AI crawlers — generated and kept up to date automatically, no manual maintenance.
Control over AI bots
robots.txt explicitly manages GPTBot, ClaudeBot, PerplexityBot and the rest — you decide who gets to read your menu and content.
We audit existing pages, restructure them into the extractable format (short answer, H2s, FAQ, verdict) and add the Restaurant/Menu/Recipe structured-data layer. New pages and dish cards come out of the editor GEO-native, with no extra steps.
Frequently asked questions about GEO optimization
Make your menu citable by AI engines
Extractable structure, complete JSON-LD (Restaurant/Menu/Recipe) and llms.txt — on existing pages and on everything you publish from now on.