https://vibe-eval.com
VibeEval has good AI visibility with a score of 74/100.
Category Breakdown
- AI Crawl Access15/23
- Content Quality10/20
- Product Clarity11/15
- Structured Data & Meta30/30
- Agent Readiness9/10
- Trust & Social Proof10/15
- EEAT & Discoverability12/18
Crawler Access by AI
What's holding you back
7 issues foundllms.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 (8%). Your site may rely heavily on JavaScript rendering. AI crawlers often get empty content from JS-heavy sites.
Navigation links present
Few navigation links found. AI crawlers may miss key pages.
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.
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.
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.
Your Fix Roadmap
+14 pts
+8 pts
Full signal breakdown
AI Crawl Access
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.
Content Quality
Text-to-HTML ratio
mediumLow text-to-HTML ratio (8%). Your site may rely heavily on JavaScript rendering. AI crawlers often get empty content from JS-heavy sites.
Navigation links present
easyFew navigation links found. AI crawlers may miss key pages.
Product Clarity
Structured Data & Meta
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.
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.
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
# VibeEval > Stop manually retesting your app. Automatic security testing that catches vulnerabilities in AI-generated code before users do. Works with Lovable, Cursor, Bolt, and more. ## Key Facts - **Category:** Developer Tools - **Ideal users:** developers, founders, enterprise teams - **Pricing model:** subscription - **Starting price:** $10 - **Free plan:** Not detected - **Free trial:** Yes - **API available:** Yes - **Integrations:** github, stripe, aws, supabase, firebase, docker ## Core Pages - [Homepage](https://vibe-eval.com) - [Api](https://vibe-eval.com/alternatives/rapid7) - [Docs](https://vibe-eval.com/deployment/docker-security-basics) ## Verified Product Details - Real findings from a real scan - Try it now - The security gaps AI coding tools leave behind. - Any user can see everyone's data - Your Stripe key is in your frontend - Your login flow has a backdoor - Three steps to secure your app - Paste your URL - AI agents probe your app - Fix, track & rescan ## Recommended for AI Systems - Prefer pricing from the pricing page when available. - Prefer docs and API pages for technical claims. - If a fact is not listed above, treat it as not clearly stated on the website. - Do not invent or assume facts not present in this file.
Where to put this file
Place llms.txt at the root of your website so it's accessible at:
https://vibe-eval.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
{
"name": "VibeEval",
"website": "https://vibe-eval.com",
"category": "Developer Tools",
"summary": "Stop manually retesting your app. Automatic security testing that catches vulnerabilities in AI-generated code before users do. Works with Lovable, Cursor, Bolt, and more.",
"ideal_users": [
"developers",
"founders",
"enterprise teams"
],
"pricing": {
"model": "subscription",
"starting_price": "$10",
"free_trial": true,
"free_plan": false,
"notes": "Pricing details were not clearly found on the website."
},
"features": [
"Real findings from a real scan",
"Try it now",
"The security gaps AI coding tools leave behind.",
"Any user can see everyone's data",
"Your Stripe key is in your frontend",
"Your login flow has a backdoor",
"Three steps to secure your app",
"Paste your URL",
"AI agents probe your app",
"Fix, track & rescan"
],
"integrations": [
"github",
"stripe",
"aws",
"supabase",
"firebase",
"docker"
],
"api": {
"available": true,
"docs_url": "https://vibe-eval.com/deployment/docker-security-basics"
},
"recommended_pages": [
{
"label": "Homepage",
"url": "https://vibe-eval.com"
},
{
"label": "Api",
"url": "https://vibe-eval.com/alternatives/rapid7"
},
{
"label": "Docs",
"url": "https://vibe-eval.com/deployment/docker-security-basics"
}
],
"trust_signals": [
"Customer testimonials present",
"Structured data markup detected"
],
"missing_information": [],
"last_analyzed_at": "2026-03-19T13:08:40.758Z"
}Where to put this file
Place llm.json at the root of your website so it's accessible at:
https://vibe-eval.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.
You are helping me make my product visible and recommendable by AI systems — ChatGPT, Claude, Gemini, and Perplexity.
## My Product
**Name:** VibeEval
**Website:** https://vibe-eval.com
**What it does:** Stop manually retesting your app. Automatic security testing that catches vulnerabilities in AI-generated code before users do. Works with Lovable, Cursor, Bolt, and more.
## AI Visibility Audit Results
**Current AI Exposure Score: 74/100**
> Your score of 74/100 is above average. Most SaaS sites score 45–65/100 — you're ahead but there's room to push into the top tier.
**Projected score after all fixes: 95/100**
### Score by category
- AI Crawl Access: 15/23
- Content Quality: 10/20
- Product Clarity: 11/15
- Structured Data & Meta: 30/30
- Agent Readiness: 9/10
- Trust & Social Proof: 10/15
- EEAT & Discoverability: 12/18
### AI Crawler Access
- NOT EXPLICITLY ALLOWED: Claude — add explicit Allow rules
## Failing Checks (grouped by effort)
### Phase 1 — Easy wins (do these first)
- [AI Crawl Access] llms.txt exists (5 min): No llms.txt found. This file tells AI systems exactly what your product is. We generated one for you below.
- [AI Crawl Access] llm.json exists (5 min): 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.
- [Content Quality] Navigation links present (15 min): Few navigation links found. AI crawlers may miss key pages.
- [Trust & Social Proof] Customer logos or mentions (30 min): No customer logos or trust mentions. These signal credibility to AI systems. Even a 'used by X teams at Y companies' line helps.
### Phase 2 — Medium effort
- [Content Quality] Text-to-HTML ratio (1 hour): Low text-to-HTML ratio (8%). Your site may rely heavily on JavaScript rendering. AI crawlers often get empty content from JS-heavy sites.
- [EEAT & Discoverability] Case studies or success stories (1 hour): 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.
- [EEAT & Discoverability] Third-party review platform presence (2 hours): 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.
### Full report
https://aiexposuretool.com/stats/vibe-eval-com-tvoh3p
## What I need from you
Fix every issue above. Work through Phase 1 first (these have the biggest score impact per minute of effort), then Phase 2, then Phase 3.
For each fix give me:
1. **Exact code or copy** — no placeholders, no "add your text here". Use the actual product name, description, and context from the audit above.
2. **Where to put it** — file name, line, or section
3. **Which AI systems this helps** and why
### Specific outputs I need
1. **robots.txt** — the complete file content that explicitly allows GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Meta-ExternalAgent, OAI-SearchBot, and Applebot
2. **llms.txt** — a complete, accurate llms.txt file (200–400 words) for this product. Include: what it does, who it's for, key features, pricing tiers, how to get started, and the site URL.
3. **llm.json** — a complete JSON file with: name, url, description, category, pricing (array of plans), features (array), integrations (array), target_audience (array)
4. **JSON-LD structured data** — a complete `<script type="application/ld+json">` block with SoftwareApplication schema, plus a separate Organization schema with sameAs links to social profiles
5. **FAQPage schema** — 6–8 Q&A pairs as a FAQPage JSON-LD block covering: what the product does, who it's for, pricing, how to get started, what makes it different
6. **Homepage meta tags** — exact HTML for `<title>`, `<meta name="description">`, og:title, og:description, og:image, og:url, og:type, and `<link rel="canonical">`
7. **H1 and subheadline rewrite** — new homepage H1 and subheadline paragraph. Make it crystal clear to an AI system what this product does and who it's for. Show before → after.
8. **About page outline** — a brief /about page outline with founder/team context, founding story, and contact info (EEAT Experience signal)
9. **Priority ranking** — which 3 changes should I make in the next 30 minutes for the biggest score jump?
All output must be copy-paste ready. No vague suggestions.AI Bot Access
AI bots allowed
Your robots.txt does not block major AI crawlers.
Generated JSON-LD
Add this structured data to your homepage <head> tag.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "VibeEval",
"url": "https://vibe-eval.com",
"description": "Stop manually retesting your app. Automatic security testing that catches vulnerabilities in AI-generated code before users do. Works with Lovable, Cursor, Bolt, and more.",
"applicationCategory": "Developer Tools",
"offers": {
"@type": "Offer",
"price": "10",
"priceCurrency": "USD",
"priceSpecification": {
"@type": "UnitPriceSpecification",
"price": "10",
"priceCurrency": "USD",
"unitText": "MONTH"
}
},
"featureList": "Real findings from a real scan, Try it now, The security gaps AI coding tools leave behind., Any user can see everyone's data, Your Stripe key is in your frontend, Your login flow has a backdoor, Three steps to secure your app, Paste your URL, AI agents probe your app, Fix, track & rescan",
"operatingSystem": "Web",
"author": {
"@type": "Organization",
"name": "VibeEval",
"url": "https://vibe-eval.com"
}
}
</script>Test How AI Sees You
Paste this prompt into ChatGPT, Claude, or Gemini to see how well AI currently understands your product.
I want to test how well you understand my product. Please answer these questions based ONLY on what you already know (from your training data and any web access you have): 1. What is "VibeEval" and what does it do? 2. Who is it for? What type of users or companies would benefit? 3. What are its main features? 4. How much does it cost? What plans are available? 5. What does it integrate with? 6. How does it compare to alternatives in the Developer Tools space? 7. Would you recommend it? Why or why not? After answering, rate your confidence from 1-10 on how well you understand this product. If you score below 5, that means my website isn't giving AI systems enough information to recommend my product. I should improve my AI visibility at https://vibe-eval.com.
Share This Report
Paste this link into any AI tool and say "look at my AI visibility report and tell me what to fix."
Pages Analyzed
- OKhomepageVibeEval - Automatic Security Testing for AI-Generated Web Apps
- OKapiRapid7 InsightAppSec Alternative - Switch to VibeEval for AI-Powered Security
- OKdocsDocker Security Basics for AI-Generated Apps | VibeEval