AIO score
Needs work68 / 100
Top fixes
- High Reduce JS-only content for core pages (AI crawlers may not render JS) (Renderability & JS: 6/20)
- Medium Add H1 heading (missing from the server HTML on 5 of 10 sampled pages) (Structure & readability: 20/30)
- Medium Add Subheadings (missing from the server HTML on 5 of 10 sampled pages) (Structure & readability: 20/30)
Show 3 more fixes
- Medium Add Lists / tables (missing from the server HTML on 3 of 10 sampled pages) (Structure & readability: 20/30)
- Medium Add Schema (JSON-LD) (missing from the server HTML on 8 of 10 sampled pages) (Metadata & consistency: 17/25)
- Medium Add Canonical tag (missing from the server HTML on 8 of 10 sampled pages) (Metadata & consistency: 17/25)
Score breakdown
- Technical & crawlability 25/25
- Renderability & JS (weakest) 6/20
- Structure & readability 20/30
- Metadata & consistency 17/25
What's working
- Technical & crawlability: 25/25
Ghost Test: can AI crawlers answer buyer questions?
We ask an AI model each question twice: once using only the HTML a crawler like GPTBot receives, and once using the page as visitors see it after JavaScript runs. A question is flagged when only the visitor version can answer it.
Homepage only: some of the pages the targeted questions need were not found, so we asked one broad question about the homepage instead.
What is this, and how does it make my life better? OK
Page: https://firecrawl.dev/
Both versions could answer: AI crawlers get the same information visitors do.
Answer from what the AI crawler sees
01 Firecrawl is an API designed to search, scrape, and interact with the web at scale, providing clean web data to power AI agents. It enhances your life by enabling AI systems to access and utilize live web data efficiently, which can improve applications in areas like research, content generation, and competitive intelligence. By converting messy web content into structured, machine-usable data, Firecrawl helps you build better AI applications and workflows.
Answer from what visitors see
01 This is Firecrawl, a tool that helps AI systems search, scrape, and interact with the web to convert messy, dynamic websites into clean, structured data that AI can use. It makes your life better by providing reliable, AI-ready data from the web, enabling applications like deep research, smarter AI chats, and lead enrichment, all while being fast and easy to integrate.
Page-by-page breakdown
Each sampled page, scored on what an AI crawler receives before any JavaScript runs.
- firecrawl.dev 65/100
homepage · 0% of visible text in server HTML
Content needs JavaScript Missing: Schema (JSON-LD)Missing: Canonical tag - firecrawl.dev/pricing 52/100
pricing · 0% of visible text in server HTML
Content needs JavaScript Missing: H1 headingMissing: Schema (JSON-LD)Missing: Canonical tag - firecrawl.dev/pricing 52/100
pricing · 0% of visible text in server HTML
Content needs JavaScript Missing: H1 headingMissing: Schema (JSON-LD)Missing: Canonical tag - docs.firecrawl.dev 75/100
docs · 0% of visible text in server HTML
Content needs JavaScript -
docs · 0% of visible text in server HTML
Content needs JavaScript - firecrawl.dev/app 36/100
product · 0% of visible text in server HTML
Missing: H1 headingMissing: SubheadingsMissing: Lists / tablesMissing: Schema (JSON-LD)Missing: Canonical tag - firecrawl.dev/privacy-policy 55/100
security · 0% of visible text in server HTML
Content needs JavaScript Missing: SubheadingsMissing: Schema (JSON-LD)Missing: Canonical tag - firecrawl.dev/privacy-policy 55/100
security · 0% of visible text in server HTML
Content needs JavaScript Missing: SubheadingsMissing: Schema (JSON-LD)Missing: Canonical tag - firecrawl.dev/blog 43/100
blog · 0% of visible text in server HTML
Content needs JavaScript Missing: H1 headingMissing: SubheadingsMissing: Lists / tablesMissing: Schema (JSON-LD)Missing: Canonical tag - firecrawl.dev/blog 43/100
blog · 0% of visible text in server HTML
Content needs JavaScript Missing: H1 headingMissing: SubheadingsMissing: Lists / tablesMissing: Schema (JSON-LD)Missing: Canonical tag
Audit scope
- Pages sampled
- 10
- How pages were found
- XML sitemap and homepage links
- Coverage · certainty
- complete · high
No crawl warnings: every sampled page loaded.
Compare to peers
- reddit.com (no public report in this directory)
- webcrawlerapi.com (audit report)
- brightdata.com (no public report in this directory)
- apify.com (audit report)
- g2.com (no public report in this directory)
Can AI assistants open this site?
This report shows what AI crawlers read. It doesn’t test whether ChatGPT, Claude and Perplexity get past the site’s firewall when a person asks them about a page. If this is your company, the Threshold Test checks each assistant against your key pages and tells you what to change. It’s free once you’ve claimed this profile.
Report FAQ
What is the Ghost Test?
The Ghost Test checks whether an AI crawler can answer the questions buyers ask, such as pricing and main features. We ask an AI model each question twice about the page most likely to answer it: once using only the HTML the server sends (what crawlers like GPTBot read, since they don't run JavaScript), and once using the page as visitors see it. A question is flagged as a gap when only the visitor version can answer it.
Does a gap mean an AI hallucinated about this company?
No. A gap means the information exists on the site but AI crawlers can't read it without running JavaScript. That raises the risk that an AI assistant guesses or leaves the fact out, but it is not a record of a specific wrong answer.
How is the AIO score calculated?
The AIO score adds up four pillars: technical & crawlability (25 points), renderability (20), structure (30) and metadata (25). Each is scored on the HTML AI crawlers receive. The methodology page lists every check.
What do coverage and certainty mean?
Coverage describes how many of the site's important pages the audit managed to sample; certainty describes how consistent the evidence was. Lower values mean the report is directional and worth re-running.