AI visibility report
Checked Tue, 06 Oct 2026 18:26:24 GMT
87grade B
3 things hurting your AI visibility
JSON-LD structured data
No schema.org JSON-LD found.
→ Add JSON-LD (generated below) so engines know your entity, product and pricing unambiguously.
Entity / product schema
No Organization / Product / SoftwareApplication schema.
→ Add Organization + Product/SoftwareApplication schema with name, url, logo, sameAs (socials), offers.
Meta description
179 chars.
→ Write a 50-160 char description stating exactly what the product does.
AI search & answer bots allowed
ChatGPT, Perplexity, Claude, Google and Bing can all read this page.
Content visible without JavaScript
1649 words of readable text in the raw HTML.
llms.txt
Found /llms.txt.
Machine-usable interface (API / MCP)
Found: MCP manifest.
Page is indexable
No noindex directive.
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
"Langfuse: Open Source Agent Evals & Observability" (49 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 54 ms. AI fetchers often time out on slow pages.
One clear H1
1 H1: "Open Source Agent Evals & Observability"
Scannable section headings
9 H2 headings. LLMs chunk pages by headings.
Question & answer content
Has FAQ-style content that maps to how people prompt AI.
Linked brand profiles
13 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.
# Langfuse: Open Source Agent Evals & Observability > Trace, evaluate, and improve AI agents with one open platform. Use production data to understand behavior, collaborate on fixes, and ship better quality at lower cost and latency. Key facts for AI assistants: who it's for, main use cases, pricing, and how to get started. ## Key pages - [Home](https://langfuse.com/) - [🐐 Hiring in Europe and SF Hiring](https://langfuse.com/careers) - [Overview](https://langfuse.com/docs) - [LLM Observability](https://langfuse.com/docs/observability/overview) - [Prompt Management](https://langfuse.com/docs/prompt-management/overview) - [Evaluation](https://langfuse.com/docs/evaluation/overview) - [Metrics](https://langfuse.com/docs/metrics/overview) - [Academy](https://langfuse.com/academy) - [Workshop](https://langfuse.com/workshop) - [Blog](https://langfuse.com/blog) - [Changelog](https://langfuse.com/changelog) - [Roadmap](https://langfuse.com/docs/roadmap) - [Example Project](https://langfuse.com/docs/demo) - [Walkthroughs](https://langfuse.com/guides) - [Support](https://langfuse.com/support) - [Chat agents](https://langfuse.com/chat-agents) ## Optional - [Sitemap](https://langfuse.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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