- Visibility42
- Citations0
- Sentiment64
- Site quality67
- AI readiness14
AI assistants name Yelp in 51.7% of answers, much more often than the typical company in the technology sector, which is named in 10%. Yelp has an overall score of 38 out of 100, ranking 517th of 2,047 companies. Its website passes 2 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named Yelp. AI assistants named it in 31 of 60 answers (51.7%). The typical technology company is named in 10.0% of answers. By how often it is named, Yelp ranks 15 of 273 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
273 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Are there free options for accessing local business ratings and user feedback?”
I'll search for current free options for accessing local business ratings and reviews.Yes, there are several free options for accessing local business ratings and user feedback:
Major Free Platforms:
Google Business Profile is the most important review platform for local businesses, with reviews feeding directly into Local Pack rankings, Google Maps visibility, and AI Overviews.
Yelp remains the most influential review platform in the US and Canada for service businesses, restaurants, and local retail. Users can set up a Yelp account for free to leave reviews.
Google, Facebook, Yelp an …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Some checks could not run. With them, up to level 1 would be possible.
The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapNot met
Serve an XML sitemap and reference it from robots.txt.
- study: 0.3%Link headersCould not check
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationCould not check
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdNot met
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardNot met
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardNot met
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsNot met
Publish a skills index with the main tasks agents can do.
- study: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 20 of 100 · 81% of checks could run · checked on October 5, 2026 · www.yelp.com · 2,047 companies scanned
2 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.
These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.
Show the 14 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- Not metXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- Not metToken budget (page weight)study: 95.2%
- PassedExplicit AI bot rulesstudy: 13.0%
- Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
- Not metOAuth Authorization Server discoverystudy: 10.1%
- Not metOAuth Protected Resource discoverystudy: 9.3%
- Not metMCP Server Cardstudy: 0.0%
- Not metA2A Agent Cardstudy: 0.0%
- Not metWebMCP toolsstudy: 4.2%
- Not metAgent Skills declaredstudy: 0.0%
This website sets rules for 12 AI crawlers by name. All others follow its general rules.
- GPTBot*blocked
- ClaudeBot*blocked
- Anthropic-AI*blocked
- Google-Extended*blocked
- Applebot-Extendedblocked
- Meta-ExternalAgent*blocked
- FacebookBotblocked
- Bytespiderblocked
- CCBot*blocked
- Diffbotblocked
- Omgilibotblocked
- OAI-SearchBot*partly
- Claude-SearchBot*partly
- PerplexityBot*partly
- Applebotblocked
- Amazonbotblocked
- YouBotblocked
- ChatGPT-User*partly
- Claude-User*partly
- Perplexity-User*partly
- DuckAssistBotblocked
- MistralAI-Userblocked
Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.
How many times each website was listed as a source in these answers
In the study as US-listed.
- Are there free options for accessing local business ratings and user feedback?
- How important are user reviews when deciding on a home repair service?
- How can I discover reliable home services near me?
- How do premium versions of local review platforms justify their cost?
- Is it worth using a local review platform to choose a beauty salon or a dentist?
- Why are some local businesses missing or miscategorized on online platforms?
- How can review sites help with finding kid-friendly entertainment options nearby?
- What are the best ways to find top-rated restaurants or bars in a new city?
- What should I do if I see suspicious or fake reviews on a local business listing?
- Which is better: using dedicated review sites or general search engines to find trusted local businesses?
- How do local business review platforms compare to word-of-mouth when picking a service?
- What’s the easiest way to check if a restaurant meets dietary preferences through online reviews?
- Where else can I find trusted recommendations for things to do in my city besides online reviews?
- What alternatives exist for discovering and rating local services beyond online review platforms?
- How do I quickly see which auto shops in my area are highly recommended by real customers?
Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.
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<a href="https://aeo-audit.rezolve.com/us/yelp.com"><img src="https://aeo-audit.rezolve.com/us/badges/yelp.com.svg" alt="Overall score 38 of 100, US AI Visibility Study 2026" width="280" height="64"></a>