AI Exposure Report

AI Exposure Report: https://crewswarm.ai

crewswarm has good AI visibility with a score of 77/100.

1 pages scanned3/16/2026

77Good

AI Exposure Score: 77/100

Category Breakdown

AI Crawl Access20/20
Content Quality16/20
Product Clarity11/15
Structured Data & Meta18/20
Agent Readiness7/10
Trust & Social Proof5/15

Issues Found (3)

Key pages discoverable
Only 1 page(s) reachable. AI systems build understanding from multiple 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.
Quantifiable metrics
No quantifiable metrics found (e.g. '10,000+ users', '500+ teams'). Specific numbers help AI recommend with confidence.

Quick Wins (1)

Create a dedicated pricing page
medium impact
A standalone /pricing page with plan names, prices, and feature lists makes it easy for AI to reference your pricing.

Detailed Breakdown

AI Crawl Access — 20/20

robots.txt allows AI bots(5/5)
robots.txt allows AI bots to crawl your site.
Sitemap.xml exists(5/5)
Sitemap found with ~11 URLs. AI crawlers use this to discover your pages.
llms.txt exists(5/5)
llms.txt file found! AI systems can read a structured summary of your product.
Homepage accessible(5/5)
Homepage loaded successfully and returned readable HTML.

Content Quality — 16/20

Sufficient content depth(5/5)
Homepage has 5427 words — enough for AI to extract meaningful information.
Text-to-HTML ratio(5/5)
Good text-to-HTML ratio (24%). Content is readable in the raw HTML.
Key pages discoverable(1/5)
Only 1 page(s) reachable. AI systems build understanding from multiple pages.
Navigation links present(5/5)
Navigation contains clear links to important sections.

Product Clarity — 11/15

Clear homepage headline(5/5)
Headline found: "One idea.One build.One crew."
Features described(3/5)
Features described on homepage but no dedicated features page.
Pricing clarity(3/5)
Some pricing info detected but no dedicated pricing page.

Structured Data & Meta — 18/20

OpenGraph meta tags(5/5)
OpenGraph tags present (og:title, og:description). AI systems use these when users share your link.
Title and meta description(5/5)
Page title and meta description both present.
JSON-LD structured data(3/5)
JSON-LD detected with types: unknown. Consider using SoftwareApplication or Product schema for better AI understanding.
Canonical URL set(3/3)
Canonical URL set. AI systems won't split understanding across duplicate URLs.
Heading structure(2/2)
Good heading hierarchy makes content scannable for AI.

Agent Readiness — 7/10

Documentation or API reference(2/4)
Docs mentioned but no dedicated docs page accessible.
FAQ section present(3/3)
FAQ section detected. AI systems extract Q&A pairs to build knowledge.
Integrations clarity(2/3)
Integration mentions detected but no dedicated page.

Trust & Social Proof — 5/15

Testimonials present(5/5)
Testimonials detected. AI systems cite social proof when recommending products.
Customer logos or mentions(0/5)
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(0/5)
No quantifiable metrics found (e.g. '10,000+ users', '500+ teams'). Specific numbers help AI recommend with confidence.

Generated llms.txt

llms.txt

# crewswarm

> Open-source local-first AI workspace with a control-plane dashboard, Vibe browser IDE, crewchat native app, and multi-agent runtime. Run crew-cli, Claude, Cursor, Gemini, OpenCode, and Codex CLI in one stack.

## Key Facts
- **Category:** Developer Tools
- **Ideal users:** SaaS users
- **Pricing model:** freemium
- **Starting price:** $3/mo
- **Free plan:** Yes
- **Free trial:** Not detected
- **API available:** Yes
- **Integrations:** github, google, aws, linear, docker

## Core Pages
- [Homepage](https://crewswarm.ai)

## Verified Product Details
- OpenCode
- Claude Code
- Cursor
- crew-cli
- One stack. Three surfaces.
- Dashboard
- crewchat
- From requirement to realityin one command
- You write a requirement
- PM breaks it into tasks

## 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://crewswarm.ai/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

llm.json

{
  "name": "crewswarm",
  "website": "https://crewswarm.ai",
  "category": "Developer Tools",
  "summary": "Open-source local-first AI workspace with a control-plane dashboard, Vibe browser IDE, crewchat native app, and multi-agent runtime. Run crew-cli, Claude, Cursor, Gemini, OpenCode, and Codex CLI in one stack.",
  "ideal_users": [
    "SaaS users"
  ],
  "pricing": {
    "model": "freemium",
    "starting_price": "$3/mo",
    "free_trial": false,
    "free_plan": true,
    "notes": "Pricing details were not clearly found on the website."
  },
  "features": [
    "OpenCode",
    "Claude Code",
    "Cursor",
    "crew-cli",
    "One stack. Three surfaces.",
    "Dashboard",
    "crewchat",
    "From requirement to realityin one command",
    "You write a requirement",
    "PM breaks it into tasks"
  ],
  "integrations": [
    "github",
    "google",
    "aws",
    "linear",
    "docker"
  ],
  "api": {
    "available": true,
    "docs_url": null
  },
  "recommended_pages": [
    {
      "label": "Homepage",
      "url": "https://crewswarm.ai"
    }
  ],
  "trust_signals": [
    "Customer testimonials present",
    "Structured data markup detected"
  ],
  "missing_information": [],
  "last_analyzed_at": "2026-03-16T22:26:28.622Z"
}

Where to put this file

Place llm.json at the root of your website so it's accessible at:

https://crewswarm.ai/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

Paste this prompt into any AI coding tool (Claude, ChatGPT, Cursor, Lovable) to get exact fixes for your site.

ai-fix-prompt.md

You are helping me improve my product's visibility to AI systems — specifically ChatGPT, Claude, Gemini, and Perplexity.

## Context

My product "crewswarm" (https://crewswarm.ai) was analyzed by AIExposureTool.
**Summary:** Open-source local-first AI workspace with a control-plane dashboard, Vibe browser IDE, crewchat native app, and multi-agent runtime. Run crew-cli, Claude, Cursor, Gemini, OpenCode, and Codex CLI in one stack.

**AI Exposure Score: 77/100**

> Your score of 77/100 is above average. Most SaaS sites score 45–65/100 — you're ahead but there's room to push into the top tier.

### Score Breakdown by Category
- AI Crawl Access: 20/20
- Content Quality: 16/20
- Product Clarity: 11/15
- Structured Data & Meta: 18/20
- Agent Readiness: 7/10
- Trust & Social Proof: 5/15

### Top Issues Found
- [CRITICAL] Key pages discoverable: Only 1 page(s) reachable. AI systems build understanding from multiple pages.
- [CRITICAL] 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.
- [CRITICAL] Quantifiable metrics: No quantifiable metrics found (e.g. '10,000+ users', '500+ teams'). Specific numbers help AI recommend with confidence.

### Quick Wins (Highest Impact First)
- [MEDIUM IMPACT] Create a dedicated pricing page: A standalone /pricing page with plan names, prices, and feature lists makes it easy for AI to reference your pricing.

### Missing Information


### Full Report
https://aiexposuretool.com/stats/crewswarm-ai-hixxuo

## What I Need

Please help me fix every issue above. For each fix, give me:
- The **before** (current state or what's missing)
- The **after** (exact replacement text or code)
- The **why** (which AI systems this helps and how)

Specifically:

1. **Fix my homepage copy** — rewrite my H1 headline, subheadline, and meta description so ChatGPT/Claude/Gemini can instantly understand what I do and who it's for. Show me before vs after.

2. **Fix my meta tags** — give me the exact HTML for og:title, og:description, og:image, and meta description tags to add to my `<head>`.

3. **Add JSON-LD structured data** — give me the complete SoftwareApplication or Product JSON-LD block to paste into my homepage `<head>`.

4. **Generate a better llms.txt** — create an improved llms.txt file (250–400 words) that accurately represents my product. Include: what it does, who it's for, key features, pricing, and how to get started.

5. **Generate llm.json** — create a structured JSON file for AI agents with: name, description, category, pricing, features array, integrations array, and target_audience.

6. **Write FAQ content** — draft 6–8 Q&A pairs about my product for an FAQ section. Format as plain HTML `<details>`/`<summary>` blocks I can paste in.

7. **Fix robots.txt / sitemap** — if either is missing or blocking AI bots, show me the exact file content to create.

8. **Prioritize the fixes** — rank all changes by impact. Which 3 should I do in the next 30 minutes to get the biggest score jump?

Be specific and give copy-pasteable output. No vague suggestions — I want exact strings, files, and code blocks.

AI Bot Access

Allowed

AI bots allowed

Your robots.txt does not block major AI crawlers.

Generated JSON-LD

Add this structured data to your homepage <head> tag.

schema.jsonld

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "crewswarm",
  "url": "https://crewswarm.ai",
  "description": "Open-source local-first AI workspace with a control-plane dashboard, Vibe browser IDE, crewchat native app, and multi-agent runtime. Run crew-cli, Claude, Cursor, Gemini, OpenCode, and Codex CLI in one stack.",
  "applicationCategory": "Developer Tools",
  "offers": {
    "@type": "Offer",
    "price": "0",
    "priceCurrency": "USD"
  },
  "featureList": "OpenCode, Claude Code, Cursor, crew-cli, One stack. Three surfaces., Dashboard, crewchat, From requirement to realityin one command, You write a requirement, PM breaks it into tasks",
  "operatingSystem": "Web",
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.5",
    "ratingCount": "100",
    "bestRating": "5",
    "worstRating": "1"
  },
  "author": {
    "@type": "Organization",
    "name": "crewswarm",
    "url": "https://crewswarm.ai"
  }
}
</script>

Test How AI Sees You

Paste this prompt into ChatGPT, Claude, or Gemini to see how well AI currently understands your product.

ai-test-prompt.md

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 "crewswarm" 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://crewswarm.ai.

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

homepage
crewswarm — Local-First AI Workspace with Dashboard, Vibe IDE, and Agent Runtime
OK