
- Visibility11
- Citations2
- Sentiment100
- Site quality63
- AI readiness43
AI assistants name Rare Carat in 10% of answers, more often than the typical company in its sector. It has an overall score of 38 out of 100, ranking 574th of 2,047. Its website passes 6 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the retail market: none named Rare Carat. AI assistants named it in 6 of 60 answers (10.0%). The typical retail company is named in 6.7% of answers. By how often it is named, Rare Carat ranks 251 of 640 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.
640 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What are the best online platforms for comparing loose diamond prices in the US?”
When comparing loose diamond prices online in the US, several platforms offer extensive inventories and tools to help you find the best value. These platforms often provide detailed grading reports, high-resolution images, and 360-degree videos to assist in your decision-making.
Some of the best online platforms for comparing loose diamond prices include:
Ritani is highly regarded for its price transparency and vast selection of certified natural and lab-grown diamonds. It provides access to hundreds of thousands of diamonds from various suppliers, complete with grading reports and a …
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 3: Agent-readable. Agents can request pages as markdown.
- 1 of MCP Server Card, A2A Agent Card, Agent Skills, API Catalog
Not by itself. Rare Carat publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.
- UCPNot present
- ACPNot present
- AP2Not present
- x402Not present
- MPPNot present
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%SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
- study: 0.3%Link headersNot met
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 negotiationPassed
Requests sent with Accept: text/markdown receive a markdown version of the page.
- study: 25.1%llms.txtPassed
An llms.txt that tells language models what the site offers.
- study: 93.4%AI bot rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- study: 1.4%Content SignalsPassed
Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.
- 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 62 of 100 · 97% of checks could run · checked on October 5, 2026 · www.rarecarat.com · 2,047 companies scanned
6 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%
- PassedXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- PassedMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken 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*partly
- ClaudeBot*partly
- Anthropic-AIpartly
- Google-Extended*partly
- Applebot-Extended*partly
- Meta-ExternalAgent*partly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*partly
- Claude-SearchBot*partly
- PerplexityBot*partly
- Applebotpartly
- Amazonbot*partly
- YouBotpartly
- ChatGPT-User*partly
- Claude-User*partly
- Perplexity-User*partly
- DuckAssistBotpartly
- MistralAI-Userpartly
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 retailers: listed as a retailer in Wikidata, a public database, and among the websites Cloudflare Radar ranks as visited.
- Shopping for wedding rings online vs in-store: which is better?
- What are the best online platforms for comparing loose diamond prices in the US?
- Best options for custom designing an engagement ring online
- Lab grown diamonds vs natural diamonds: pros and cons for engagement rings
- How to shop for anniversary bands with colored diamonds online
- Alternatives to natural diamonds for engagement rings
- What are good alternatives to shopping for loose diamonds online?
- Why do diamond prices vary between online marketplaces and traditional retailers?
- How to resolve issues if an engagement ring ordered online doesn’t fit?
- Are online diamond marketplaces worth it for engagement ring purchases?
- Affordable options for tennis bracelets and eternity bands online
- Top tips for finding high-quality engagement rings online
- Is it safe to buy fine jewelry online instead of from a local jeweler?
- What should I do if a diamond certification doesn't match the stone I received?
- How much should I expect to spend on a 1 carat diamond in the US?
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/rarecarat.com"><img src="https://aeo-audit.rezolve.com/us/badges/rarecarat.com.svg" alt="Overall score 38 of 100, US AI Visibility Study 2026" width="280" height="64"></a>