https://unit.co
Unit has moderate AI visibility (65/100) with several areas for improvement.
Category Breakdown
- AI Crawl Access19/27
- Content Quality15/27
- Product Clarity8/15
- Structured Data & Meta26/33
- Agent Readiness3/10
- Trust & Social Proof15/15
- EEAT & Discoverability8/18
How AI Can Read This Site
Crawler Access
Discovery Files
All major AI crawlers can access this site. 3 pages scanned, 3 accessible.
What's holding you back
14 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 (2%). Your site may rely heavily on JavaScript rendering. AI crawlers often get empty content from JS-heavy sites.
Pricing clarity
No pricing information found. AI systems cannot recommend your plans or verify costs.
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.
Documentation or API reference
No docs or API page found. AI agents cannot assess technical capabilities.
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.
FAQPage schema
No FAQPage schema. AI systems use FAQ schema to answer user questions about your product verbatim โ it's one of the highest-citation content types.
FAQ section present
No FAQ found. FAQs are high-value structured content โ AI systems use them to answer user questions about your product.
Comparison or alternatives content
No comparison or alternatives content. When users ask AI 'what is the best X tool?' or 'X vs Y', AI looks for comparison pages. A single 'X vs Competitors' page can dramatically increase AI citations.
Third-party review platform presence
No review platform links found (G2, Capterra, ProductHunt, Trustpilot). EEAT Authoritativeness โ 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 โ showing real results ("Company X increased Y by Z%") is the strongest signal that you have first-hand experience delivering value.
Contact or legal pages
No contact page or legal pages found. EEAT Trustworthiness โ AI systems check for contact information and privacy/terms pages to verify a product is legitimate and operated by a real entity.
llms-full.txt exists
No llms-full.txt found. This is the expanded version of llms.txt โ 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
+12 pts
+15 pts
+5 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.
llms-full.txt exists
easyNo llms-full.txt found. This is the expanded version of llms.txt โ 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
Pricing clarity
mediumNo pricing information found. AI systems cannot recommend your plans or verify costs.
Structured Data & Meta
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.
FAQPage schema
easyNo FAQPage schema. AI systems use FAQ schema to answer user questions about your product verbatim โ it's one of the highest-citation content types.
Agent Readiness
Documentation or API reference
hardNo docs or API page found. AI agents cannot assess technical capabilities.
FAQ section present
mediumNo FAQ found. FAQs are high-value structured content โ AI systems use them to answer user questions about your product.
Trust & Social Proof
EEAT & Discoverability
Case studies or success stories
mediumNo case studies or success stories found. EEAT Experience โ showing real results ("Company X increased Y by Z%") is the strongest signal that you have first-hand experience delivering value.
Comparison or alternatives content
hardNo comparison or alternatives content. When users ask AI 'what is the best X tool?' or 'X vs Y', AI looks for comparison pages. A single 'X vs Competitors' page can dramatically increase AI citations.
Third-party review platform presence
mediumNo review platform links found (G2, Capterra, ProductHunt, Trustpilot). EEAT Authoritativeness โ AI systems check external sources to validate products. Being listed on even one major platform significantly increases recommendation confidence.
Contact or legal pages
easyNo contact page or legal pages found. EEAT Trustworthiness โ AI systems check for contact information and privacy/terms pages to verify a product is legitimate and operated by a real entity.
Generated llms.txt
# Unit > Unit helps leading tech companies launch embedded capital, banking and bill pay in 3 weeks. Offer smarter money experiences and double your average revenue per user. ## Key Facts - **Category:** Infrastructure - **Ideal users:** developers, founders, enterprise teams - **Pricing model:** unknown - **Starting price:** $80 - **Free plan:** Not detected - **Free trial:** Not detected - **API available:** Yes - **Integrations:** google, aws ## Core Pages - [Homepage](https://unit.co) - [Integrations](https://unit.co/integrations) - [About](https://unit.co/about) ## Verified Product Details - See money solutions inside your platform - Built for modern software platforms - Achieving 4x customer lifetime value with embedded banking - One platform, every core financial product - Accounts and wallets (FBO) - Help your customers store and move money on your platform - Money movement - Card issuing - Capital - One platform, flexible by design ## Missing or Unclear Information - No pricing information detected - No documentation or API reference found - No FAQ section detected ## 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://unit.co/llms.txtโบNext.js / React: Save as public/llms.txt
โบWordPress: Upload to your site root via FTP or use a plugin
โบStatic sites: Place in your build output folder alongside index.html
Generated llm.json
{
"name": "Unit",
"website": "https://unit.co",
"category": "Infrastructure",
"summary": "Unit helps leading tech companies launch embedded capital, banking and bill pay in 3 weeks. Offer smarter money experiences and double your average revenue per user.",
"ideal_users": [
"developers",
"founders",
"enterprise teams"
],
"pricing": {
"model": "unknown",
"starting_price": "$80",
"free_trial": false,
"free_plan": false,
"notes": "Pricing details were not clearly found on the website."
},
"features": [
"See money solutions inside your platform",
"Built for modern software platforms",
"Achieving 4x customer lifetime value with embedded banking",
"One platform, every core financial product",
"Accounts and wallets (FBO)",
"Help your customers store and move money on your platform",
"Money movement",
"Card issuing",
"Capital",
"One platform, flexible by design"
],
"integrations": [
"google",
"aws"
],
"api": {
"available": true,
"docs_url": null
},
"recommended_pages": [
{
"label": "Homepage",
"url": "https://unit.co"
},
{
"label": "Integrations",
"url": "https://unit.co/integrations"
},
{
"label": "About",
"url": "https://unit.co/about"
}
],
"trust_signals": [
"Customer testimonials present",
"Customer logos or trust badges present",
"Structured data markup detected"
],
"missing_information": [
"No pricing information detected",
"No documentation or API reference found",
"No FAQ section detected"
],
"last_analyzed_at": "2026-04-28T13:51:59.852Z"
}Where to put this file
Place llm.json at the root of your website so it's accessible at:
https://unit.co/llm.jsonโบNext.js / React: Save as public/llm.json
โบAPI / Dynamic: Serve from an API route at /llm.json with Content-Type: application/json
โบStatic sites: Place in your build output folder alongside index.html
AI Fix Prompt
Copy this โ paste into Claude, ChatGPT, Gemini, or Cursor โ it fixes most of your issues.
You are helping me make my product visible and recommendable by AI systems โ ChatGPT, Claude, Gemini, and Perplexity.
## My Product
**Name:** Unit
**Website:** https://unit.co
**What it does:** Unit helps leading tech companies launch embedded capital, banking and bill pay in 3 weeks. Offer smarter money experiences and double your average revenue per user.
## AI Visibility Audit Results
**Current AI Exposure Score: 65/100**
> Your score of 65/100 is above average. Most SaaS sites score 45โ65/100 โ you're ahead but there's room to push into the top tier.
**Projected score after all fixes: 97/100**
### Score by category
- AI Crawl Access: 19/27
- Content Quality: 15/27
- Product Clarity: 8/15
- Structured Data & Meta: 26/33
- Agent Readiness: 3/10
- Trust & Social Proof: 15/15
- EEAT & Discoverability: 8/18
### AI Crawler Access
- NOT EXPLICITLY ALLOWED: ChatGPT, Claude, Perplexity, Gemini, Meta AI, Apple AI โ add explicit Allow rules
## Failing Checks (grouped by effort)
### Phase 1 โ 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.
- [AI Crawl Access] llms-full.txt exists (30 min): No llms-full.txt found. This is the expanded version of llms.txt โ 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.
- [Structured Data & Meta] SoftwareApplication or WebApplication schema (5 min): No SoftwareApplication schema found. Without this, AI systems may describe your product as a generic 'website' instead of categorizing it as a software tool.
- [Structured Data & Meta] FAQPage schema (10 min): No FAQPage schema. AI systems use FAQ schema to answer user questions about your product verbatim โ it's one of the highest-citation content types.
- [EEAT & Discoverability] Contact or legal pages (30 min): No contact page or legal pages found. EEAT Trustworthiness โ AI systems check for contact information and privacy/terms pages to verify a product is legitimate and operated by a real entity.
### Phase 2 โ Medium effort
- [Content Quality] Text-to-HTML ratio (1 hour): Low text-to-HTML ratio (2%). Your site may rely heavily on JavaScript rendering. AI crawlers often get empty content from JS-heavy sites.
- [Content Quality] Answer-first content structure (30 min): 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.
- [Product Clarity] Pricing clarity (1 hour): No pricing information found. AI systems cannot recommend your plans or verify costs.
- [Agent Readiness] FAQ section present (30 min): No FAQ found. FAQs are high-value structured content โ AI systems use them to answer user questions about your product.
- [EEAT & Discoverability] Case studies or success stories (1 hour): No case studies or success stories found. EEAT Experience โ 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 โ AI systems check external sources to validate products. Being listed on even one major platform significantly increases recommendation confidence.
### Phase 3 โ Bigger investments
- [Agent Readiness] Documentation or API reference (days): No docs or API page found. AI agents cannot assess technical capabilities.
- [EEAT & Discoverability] Comparison or alternatives content (2-4 hours): No comparison or alternatives content. When users ask AI 'what is the best X tool?' or 'X vs Y', AI looks for comparison pages. A single 'X vs Competitors' page can dramatically increase AI citations.
### Missing product information
- No pricing information detected
- No documentation or API reference found
- No FAQ section detected
### Full report
https://www.aiexposuretool.com/stats/unit-co-l5kyud
## 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** โ no placeholders, no "add your text here". Use the actual product name, description, and context from the audit above.
2. **Where to put it** โ file name, line, or section
3. **Which AI systems this helps** and why
### Specific outputs I need
1. **robots.txt** โ the complete file content that explicitly allows GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Meta-ExternalAgent, OAI-SearchBot, and Applebot
2. **llms.txt** โ a complete, accurate llms.txt file (200โ400 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** โ 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** โ 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** โ 6โ8 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** โ 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** โ 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 โ after.
8. **About page outline** โ a brief /about page outline with founder/team context, founding story, and contact info (EEAT Experience signal)
9. **Priority ranking** โ 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": "Unit",
"url": "https://unit.co",
"description": "Unit helps leading tech companies launch embedded capital, banking and bill pay in 3 weeks. Offer smarter money experiences and double your average revenue per user.",
"applicationCategory": "Infrastructure",
"offers": {
"@type": "Offer",
"price": "80",
"priceCurrency": "USD"
},
"featureList": "See money solutions inside your platform, Built for modern software platforms, Achieving 4x customer lifetime value with embedded banking, One platform, every core financial product, Accounts and wallets (FBO), Help your customers store and move money on your platform, Money movement, Card issuing, Capital, One platform, flexible by design",
"operatingSystem": "Web",
"author": {
"@type": "Organization",
"name": "Unit",
"url": "https://unit.co"
}
}
</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 "Unit" 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 Infrastructure 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://unit.co.
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
- OKhomepageUnit | Embedded Finance
- OKintegrationsUnit | Financial integrations
- OKaboutUnit | The market leader in embedded finance