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AI Readiness Report
0out of 100

trychroma.com

Needs Work10 fixable issuesTop 47% in AI/MLAvg: 68/100

Your site needs optimization for AI search engines. We found 10 fixable issues.

Revenue IndexModerate
45%1.92 / 4.27
AI VisibilityModerate
65%2.78× / 4.27×
Answer ReadinessModerate
50%0.5 / 1.0
Score Breakdown
AI Bot Access
20/20
Content Structure
15/20
Structured Data
0/15
Meta & Technical
9/15
AI Readability
10/10
Image Alt Text
5/5
Sitemap
5/5
Content Freshness
5/10
What If You Improved?
$
Fix heading hierarchy
Add more schema types
Strengthen content & links
10

fixable issues blocking your AI visibility

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What AI Sees

How AI Reads Your Page

Your visitors see a polished interactive page. AI crawlers skip all of that — they see only raw extracted text.

Human Visitor Sees
  • Navigation & hero imagery
  • Animations & interactions
  • CTAs & styled elements
  • JavaScript-rendered content
AI Crawler Sees
  • Raw HTML text only
  • No scripts, styles, or nav
  • No header or footer
  • ~959 extractable words
extracted-content.txt959 words

Build AI applications that know, learn, and search — intelligently.

Fast, serverless, and scalable search engine supporting vector, full-text, regex, and metadata search.

Built on object storage and trusted by millions of developers.

Open-source Apache 2.0.

Start free on Cloud Read the docs Or, . get started locally Read case study

Read case study

Agent Search AI App Ask a question What can I build with Chroma?

Who else uses Chroma?

How does Chroma scale? knowledge_base Chroma knowledge_base - 1,277,467 records awaiting query input monthly downloads 5M+ Apache 2.0 24k Github stars search Low latency Fast queries over billions of multi-tenant indexes.

Up to cheaper 10x Built on object storage with automatic data tiering. engineering ops No Scales with your data and traffic.

SOC 2 Type II.

State-of-the-art vector, full-text, and regex search.

Latency Query Latency @384 dim at 100k vectors Warm Cold p50 20ms 650ms p90 27ms 1.2s p99 57ms 1.5s to run a POC for your specific workload.

Dedicated clusters can be scaled to your specific requirements.

Contact us Technical specs Write throughput (per collection) 30 MB/s (2000+ QPS) Concurrent reads (per collection) 10 (200+ QPS) Collections per database 1M Records per collection 5M Recall 90-100% Zero-ops infra ┌───────────────────────────────┐ │ Query Layer │ │ Fast memory cache (hot) │ │ SSD cache (warm) │ └───────────────────────────────┘ ↕ Intelligent tiering ┌───────────────────────────────┐ │ Storage Layer │ │ S3 / GCS (cold) │ │

All vectors │ │
All metadata │ │

All indexes │ └───────────────────────────────┘ Unlike legacy search systems, Chroma is a database you'll want to be on-call for. ✓ Auto-scales with usage ✓ No manual tuning ✓ Serverless pricing Chroma takes full advantage of object storage with automatic query-aware data tiering and caching. ✓ Vectors are large: 1GB text

15GB of vectors ✓ Memory is expensive: $5/GB/mo ✓ Object storage is not: $0.02/GB/mo Enterprise Chroma brings the security, compliance, education and operational model enterprises need with our Apache 2.0 architecture.

BYOC in your VPC, multi-cloud/multi-region replication, point-in-time-recovery ensure a resilient and scalable search system with the same 0-ops story as Cloud.

Learn more Contact us Hidden ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ ▓░ ░▓ ▓░ ┌──────────── YOUR VPC ─────────────┐ ░▓ ▓░ │ │ ░▓ ▓░ │ │ ░▓ ▓░ │ │ ░▓ ▓░ │ Your data, your cloud │ ░▓ ▓░ │ │ ░▓ ▓░ │ │ ░▓ ▓░ └───────────────────────────────────┘ ░▓ ▓░ ░▓ ▓░ ░▓ ▓░ ░▓ ▓░ ░▓ ▓░ ░▓ ▓░ ░▓ ▓░ ┌────────── CHROMA VPC ─────────────┐ ░▓ ▓░ │ │ ░▓ ▓░ │ │ ░▓ ▓░ │ │ ░▓ ▓░ │ Managed by Chroma │ ░▓ ▓░ │ Monitoring, backups, ops │ ░▓ ▓░ │ │ ░▓ ▓░ └───────────────────────────────────┘ ░▓ ▓░ ░▓ ▓░ ✓ BYOC in your VPC ░▓ ▓░ ✓ Multi-region replication ░▓ ▓░ ✓ 0-ops management ░▓ ▓░ ░▓ ▓░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░▓ ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ █ DATA PLANE █ │ │ ▼ ═════════════════════════════════════ ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ █ CONTROL PLANE █ [▶] Videos Schema() and Search() APIs 9:02 Context Engineering Episode 3 - Lance Martin - LangChain 1:02:36 Beyond The Embedding: Vector Indexing 11:26 Long live Context Engineering 57:00 Context Rot 7:55 Context Engineering: The Outer Loop 23:43 Context Engineering for Engineers 11:16 Reliability at Scale 26:30 Context Engineering with DSPy 12:46 See more Visit our YouTube channel

[●] Open source community Open-source databases give your team the control and flexibility to build exactly what you need.

No licensing limits, no vendor lock-in, just reliable performance backed by a large community.

Chroma has over 26k GitHub stars and is used in over 90k other open-source codebases on GitHub.

It is downloaded over 11M times a month.

Join the Discord to see what people are building!

Find the greater community on and X YouTube.

Run Chroma OSS

Run Chroma on your own infrastructure with our open-source deploym

Scripts, styles, navigation, header & footer stripped before extraction.

Content Quality

Content Structure

15/20

AI engines prefer clear heading hierarchies and substantial content.

H1 Tags
1
Target: >= 1
H2 Tags
2
Target: >= 3
Fix: Add H2 subheadings to organize content into clear, scannable sections.
Word Count
959
Target: >= 800
Hierarchy
Correct
Target: H1 before H2

AI Readability

10/10

How easily AI can parse and extract clean answers from your content.

Content Ratio
62%
Target: >40%
Page Size
322 KB
Target: <1MB
Words (no JS)
959
Extractable words

Filler Phrases & Links

AI engines are trained to ignore generic marketing language.

3 phrases found that AI engines commonly disregard.

State-of-the-artWorld-classScalable
Internal Links
53
Pages linked within your site
External Links
22
Outbound citations
Filler Phrases
3
Detected in body text
Crawlability

AI Bot Access

20/20

Blocked bots can't index or cite your content.

GPTBot· ChatGPT
Allowed
ClaudeBot· Claude
Allowed
PerplexityBot· Perplexity
Allowed
Google-Extended· Gemini
Allowed
CCBot· Common Crawl
Allowed

Schema & Structured Data

0/15

JSON-LD schema markup helps AI engines understand who you are.

OrganizationMissing
Fix: Add Organization JSON-LD markup in your page's <head> section.
WebSiteMissing
Fix: Add WebSite JSON-LD markup in your page's <head> section.
ArticleMissing
Fix: Add Article JSON-LD markup in your page's <head> section.
FAQPageMissing
Fix: Add FAQPage JSON-LD markup in your page's <head> section.
BreadcrumbListMissing
Fix: Add BreadcrumbList JSON-LD markup in your page's <head> section.
Sitemap
Found
sitemap.xml found
5/5 pts
Image Alt Text
100%
25 of 25 images have alt text
5/5 pts
Technical SEO

Meta & Technical

9/15

Core technical signals that affect how AI engines index and trust your site.

Title
6 chars (30-70)Fail
Fix: Write a title tag between 30-70 characters with primary keywords.
Meta Description
61 chars (50-160)Pass
Open Graph Tags
PresentPass
Canonical URL
MissingFail
Fix: Add a <link rel='canonical'> tag pointing to the preferred URL.
HTTPS
SecurePass

Content Freshness

5/10

AI engines prefer recently updated content.

Schema dateModified
Not foundStale
Fix: Update your page content and set a recent last-modified HTTP header.
Copyright year
2026Fresh
Last-Modified header
Not foundStale
Fix: Update your page content and set a recent last-modified HTTP header.
AI Intelligence

AI Content Analysis

Questions AI engines can answer from your content, and content opportunities.

Questions Answered
What is Chroma?
How does Chroma scale?
What features does Chroma offer?
What are the performance metrics of Chroma?
How can I get started with Chroma?
Content Opportunities
What are the benefits of using a vector search database?
How does Chroma compare to traditional search systems?
What are the security features of Chroma?
How can I integrate Chroma with my existing applications?
What support options are available for Chroma users?
5 answered / 5 opportunities
Simulated AI Citation

What an AI engine would extract and cite from this page.

“Chroma is an open-source search and retrieval database for AI applications, supporting various search types.”
Top Prompts for Your Brand

Questions real users are typing into AI assistants about your type of product or service.

1
What is an open-source search database for AI?
2
How can I implement vector search in my app?
3
What are the advantages of serverless search engines?
4
How does Chroma handle large datasets?
5
What features should I look for in a search database?
AI Revenue Potential
AI Visibility
65%Moderate
How likely AI engines are to find, understand, and cite your content.
Heading Structure
79%
Clean H1→H2→H3 nesting helps AI parse your page
Structured Data
0%
Schema markup tells AI what your content IS
Content Authority
75%
Depth, external links, and content quality signals
Answer Readiness
50%Moderate
Can AI engines easily extract and quote answers from your page?
FAQ schema markup
3+ subheadings (H2)
Open Graph tags
Meta description
Competitive Landscape

Who AI Recommends Instead

When someone asks ChatGPT for your category, these brands appear.

#1 Competitor ACited
#2 Competitor BCited
#3 Competitor CCited
#4 Competitor DCited
#5 Competitor ECited

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