https://trustmrr.com
The database of verified startup revenues. Browse Stripe-verified MRR and revenue from real startups. Prove your revenue publicly.
Category Breakdown
- AI Crawl Access14/27
- Content Quality15/27
- Product Clarity11/15
- Structured Data & Meta15/33
- Agent Readiness9/10
- Trust & Social Proof5/15
- EEAT & Discoverability9/18
Crawler Access by AI
What's holding you back
16 issues foundSitemap.xml missing
No sitemap.xml found. This hurts both SEO and AI visibility — Google and AI crawlers can only find pages linked from your homepage. Pages not in your nav (like /pricing, /docs, /about) may never get indexed or recommended.
llms.txt exists
No llms.txt found. This file tells AI systems exactly what your product is. We generated one for you below.
Text-to-HTML ratio
Low text-to-HTML ratio (2%). Your site may rely heavily on JavaScript rendering. AI crawlers often get empty content from JS-heavy sites.
JSON-LD structured data
No JSON-LD structured data found. Schema markup gives AI systems machine-readable facts. We generated one for you below.
Customer logos or mentions
No customer logos or trust mentions. These signal credibility to AI systems. Even a 'used by X teams at Y companies' line helps.
Quantifiable metrics
No quantifiable metrics found (e.g. '10,000+ users', '500+ teams'). Specific numbers help AI recommend with confidence.
Answer-first content structure
Low answer-first score (0%). Your H2 sections begin with marketing fluff instead of direct answers. ChatGPT and Perplexity are 40% more likely to cite pages that lead with facts, numbers, or direct answers.
SoftwareApplication or WebApplication schema
No SoftwareApplication schema found. Without this, AI systems may describe your product as a generic 'website' instead of categorizing it as a software tool.
llm.json exists
No llm.json found. This machine-readable JSON file lets AI agents programmatically access your product name, features, pricing, and integrations. We generated one for you below.
Organization schema
No Organization schema. This tells AI systems your company name, logo, and social profiles — critical for accurate brand identification.
FAQPage schema
No FAQPage schema. AI systems use FAQ schema to answer user questions about your product verbatim — it's one of the highest-citation content types.
Schema sameAs entity verification
No sameAs property in your JSON-LD schema. AI systems triangulate your brand — they check if your site, LinkedIn, Twitter/X, ProductHunt, and GitHub all describe you consistently. Without sameAs links, AI has lower confidence in recommending you.
Social profiles linked
No social profile links found. EEAT Authoritativeness — linking to your Twitter/X, LinkedIn, and GitHub helps AI systems verify your brand identity and find corroborating information about your product.
Third-party review platform presence
No review platform links found (G2, Capterra, ProductHunt, Trustpilot). EEAT Authoritativeness — AI systems check external sources to validate products. Being listed on even one major platform significantly increases recommendation confidence.
Case studies or success stories
No case studies or success stories found. EEAT Experience — showing real results ("Company X increased Y by Z%") is the strongest signal that you have first-hand experience delivering value.
llms-full.txt exists
No llms-full.txt found. This is the expanded version of llms.txt — a single Markdown file containing your full product documentation, feature details, use cases, and pricing. Long-context models like Gemini 1.5 Pro prefer this over crawling individual pages.
Your Fix Roadmap
+30 pts
+10 pts
Full signal breakdown
AI Crawl Access
Sitemap.xml missing
easyNo sitemap.xml found. This hurts both SEO and AI visibility — Google and AI crawlers can only find pages linked from your homepage. Pages not in your nav (like /pricing, /docs, /about) may never get indexed or recommended.
llms.txt exists
easyNo llms.txt found. This file tells AI systems exactly what your product is. We generated one for you below.
llm.json exists
easyNo llm.json found. This machine-readable JSON file lets AI agents programmatically access your product name, features, pricing, and integrations. We generated one for you below.
llms-full.txt exists
easyNo llms-full.txt found. This is the expanded version of llms.txt — a single Markdown file containing your full product documentation, feature details, use cases, and pricing. Long-context models like Gemini 1.5 Pro prefer this over crawling individual pages.
Content Quality
Text-to-HTML ratio
mediumLow text-to-HTML ratio (2%). Your site may rely heavily on JavaScript rendering. AI crawlers often get empty content from JS-heavy sites.
Answer-first content structure
mediumLow answer-first score (0%). Your H2 sections begin with marketing fluff instead of direct answers. ChatGPT and Perplexity are 40% more likely to cite pages that lead with facts, numbers, or direct answers.
Product Clarity
Structured Data & Meta
JSON-LD structured data
easyNo JSON-LD structured data found. Schema markup gives AI systems machine-readable facts. We generated one for you below.
SoftwareApplication or WebApplication schema
easyNo SoftwareApplication schema found. Without this, AI systems may describe your product as a generic 'website' instead of categorizing it as a software tool.
Organization schema
easyNo Organization schema. This tells AI systems your company name, logo, and social profiles — critical for accurate brand identification.
FAQPage schema
easyNo FAQPage schema. AI systems use FAQ schema to answer user questions about your product verbatim — it's one of the highest-citation content types.
Schema sameAs entity verification
easyNo sameAs property in your JSON-LD schema. AI systems triangulate your brand — they check if your site, LinkedIn, Twitter/X, ProductHunt, and GitHub all describe you consistently. Without sameAs links, AI has lower confidence in recommending you.
Agent Readiness
Trust & Social Proof
Customer logos or mentions
easyNo customer logos or trust mentions. These signal credibility to AI systems. Even a 'used by X teams at Y companies' line helps.
Quantifiable metrics
easyNo quantifiable metrics found (e.g. '10,000+ users', '500+ teams'). Specific numbers help AI recommend with confidence.
EEAT & Discoverability
Case studies or success stories
mediumNo case studies or success stories found. EEAT Experience — showing real results ("Company X increased Y by Z%") is the strongest signal that you have first-hand experience delivering value.
Social profiles linked
easyNo social profile links found. EEAT Authoritativeness — linking to your Twitter/X, LinkedIn, and GitHub helps AI systems verify your brand identity and find corroborating information about your product.
Third-party review platform presence
mediumNo review platform links found (G2, Capterra, ProductHunt, Trustpilot). EEAT Authoritativeness — AI systems check external sources to validate products. Being listed on even one major platform significantly increases recommendation confidence.
Generated llms.txt
Where to put this file
Place llms.txt at the root of your website so it's accessible at:
https://trustmrr.com/llms.txt›Next.js / React: Save as public/llms.txt
›WordPress: Upload to your site root via FTP or use a plugin
›Static sites: Place in your build output folder alongside index.html
Generated llm.json
Where to put this file
Place llm.json at the root of your website so it's accessible at:
https://trustmrr.com/llm.json›Next.js / React: Save as public/llm.json
›API / Dynamic: Serve from an API route at /llm.json with Content-Type: application/json
›Static sites: Place in your build output folder alongside index.html
AI Fix Prompt
Copy this → paste into Claude, ChatGPT, Gemini, or Cursor → it fixes most of your issues.
Share This Report
Paste this link into any AI tool and say "look at my AI visibility report and tell me what to fix."