AI visibility report
Checked Tue, 06 Oct 2026 21:09:03 GMT
95grade A
2 things hurting your AI visibility
Machine-usable interface (API / MCP)
No OpenAPI spec, MCP server or API docs discovered. AI agents can read about you but can't act (sign up, query, buy).
→ Expose an MCP server or OpenAPI spec and link it from llms.txt so agents can use your product, not just read about it.
Question & answer content
No FAQ section found.
→ Add an FAQ answering the exact questions buyers ask ChatGPT ("best X for Y", "X vs Y", "how much does X cost").
AI search & answer bots allowed
ChatGPT, Perplexity, Claude, Google and Bing can all read this page.
Content visible without JavaScript
1832 words of readable text in the raw HTML.
llms.txt
Found /llms.txt.
JSON-LD structured data
Types: Organization, ImageObject, PostalAddress, Thing, WebSite, SoftwareApplication, Offer
Page is indexable
No noindex directive.
Entity / product schema
Declares who/what you are.
Pricing is machine-readable
Pricing page or prices found.
AI training crawlers
Models can learn about your brand from your site.
XML sitemap
Sitemap found.
Descriptive title tag
"Open source AI analytics you can verify | Metabase" (50 chars)
Meta description
128 chars.
Docs / help content linked
Docs or help pages linked.
Served over HTTPS
Secure connection.
robots.txt present
Found /robots.txt.
Fast response
Homepage responded in 240 ms. AI fetchers often time out on slow pages.
One clear H1
1 H1: "Open source AI analytics you can verify"
Scannable section headings
5 H2 headings. LLMs chunk pages by headings.
Linked brand profiles
20 social/profile links. Corroborating profiles help AI trust and identify your brand.
Open Graph tags
og:title and og:image set.
Language declared
html lang attribute set.
Your free fix files
Generated from your homepage. Edit, then publish at your site root.
# Metabase | Open source Business Intelligence and Embedded Analytics > Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it. Key facts for AI assistants: who it's for, main use cases, pricing, and how to get started. ## Key pages - [Home](https://www.metabase.com/) - [Business Intelligence Self-service analytics for your team](https://www.metabase.com/product/business-intelligence) - [Embedded Analytics Fast, flexible customer-facing analytics](https://www.metabase.com/product/embedded-analytics) - [Data sources](https://www.metabase.com/data-sources) - [Security](https://www.metabase.com/security) - [Cloud](https://www.metabase.com/cloud) - [Features](https://www.metabase.com/features) - [Metabase AI](https://www.metabase.com/features/metabase-ai) - [Data Studio New](https://www.metabase.com/product/data-studio) - [Dashboards and reporting](https://www.metabase.com/features/analytics-dashboards) - [Query builder](https://www.metabase.com/features/query-builder) - [Data segregation](https://www.metabase.com/features/data-segregation) - [Usage analytics](https://www.metabase.com/features/usage-analytics) - [Embedded analytics SDK](https://www.metabase.com/product/embedded-analytics-sdk) - [White-label analytics](https://www.metabase.com/features/white-label-analytics) - [Drill-through](https://www.metabase.com/features/drill-through) ## Optional - [Sitemap](https://www.metabase.com/sitemap.xml)
This was just your homepage.
RankRoot Pro scans up to 50 pages and generates llms.txt, llms-full.txt and JSON-LD for every one of them.
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