ChatGPT
—Crawl access, answer sections, llms.txtPublic-page check
See the score for a restaurant.
Website, work email, and city. The total is 0–100. Each item has its own points, and those points add up to the total.
Total
—
out of 100
The score appears here after the check.
Perplexity
—A readable page and direct answersGemini
—Structured dataGoogle AI
—An indexable pageCrawl access
robots.txt allows the crawlers these AI systems use.
0–12
Indexable page
The URL returns readable HTML and is not marked noindex.
0–14
Title and description
A specific page title and a meta description an answer can quote.
0–8
Service and place
The page says what the business does and where it works.
0–10
Answer-first sections
Headings are followed by a short direct answer, about 40–70 words.
0–14
Structured data
JSON-LD identifies the business, and ideally an FAQ.
0–16
Contact record
Name, street address, and phone are on the page.
0–8
Contact path
A phone link, contact page, or form gives a next step.
0–4
llms.txt
A public /llms.txt file summarizes the business for AI crawlers.
0–8
Freshness
A recent update date appears in the page, schema, or Last-Modified header.
0–6
This reads the public page, robots.txt, and llms.txt. It does not query ChatGPT, Perplexity, Gemini, or Google, and it does not promise a ranking, reservations, or a place on an EatAdvisor list. Platform scores reuse the same evidence with different weights.