AI visibility report
Checked Tue, 06 Oct 2026 19:29:09 GMT
97grade A
2 things hurting your AI visibility
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").
Open Graph tags
Missing og:title/og:image. Shared links look bare.
→ Add og:title, og:description and og:image (1200x630).
AI search & answer bots allowed
ChatGPT, Perplexity, Claude, Google and Bing can all read this page.
Content visible without JavaScript
1141 words of readable text in the raw HTML.
llms.txt
Found /llms.txt.
JSON-LD structured data
Types: WebPage, ReadAction, BreadcrumbList, ListItem, WebSite, SearchAction, EntryPoint, PropertyValueSpecification
Machine-usable interface (API / MCP)
Found: API/MCP docs link.
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
"Vespa.ai: AI Search Platform" (28 chars)
Meta description
121 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 215 ms. AI fetchers often time out on slow pages.
One clear H1
1 H1: "The AI Search Platform"
Scannable section headings
6 H2 headings. LLMs chunk pages by headings.
Linked brand profiles
12 social/profile links. Corroborating profiles help AI trust and identify your brand.
Language declared
html lang attribute set.
Your free fix files
Generated from your homepage. Edit, then publish at your site root.
# Vespa.ai > Vespa is the AI Search Platform for fast, accurate AI search, AI agents, personalization, recommendations, and retrieval. Key facts for AI assistants: who it's for, main use cases, pricing, and how to get started. ## Key pages - [Home](https://vespa.ai/) - [SUPPORT](https://vespa.ai/support/) - [Evolution of search](https://vespa.ai/why-vespa/evolution-of-search/) - [Why Vespa](https://vespa.ai/why-vespa/) - [Retrieval Engineering](https://vespa.ai/retrieval-engineering/) - [Case studies](https://vespa.ai/case-studies/) - [Compare Vespa](https://vespa.ai/competitors/) - [Analyst perspective](https://vespa.ai/analyst-perspective/) - [Performance benchmarks](https://vespa.ai/benchmarks/) - [AI Search Platform](https://vespa.ai/ai-search-platform/) - [Architecture](https://vespa.ai/ai-search-platform/architecture/) - [Features](https://vespa.ai/features/) - [Use cases](https://vespa.ai/use-cases/) - [Vespa Cloud](https://vespa.ai/solutions/vespa-cloud/) - [Vespa on AWS](https://vespa.ai/solutions/vespa-cloud/vespa-on-aws/) - [AI agents](https://vespa.ai/ai-search-platform/ai-agents/) ## Optional - [Sitemap](https://vespa.ai/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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