AI visibility report
Checked Wed, 07 Oct 2026 10:32:37 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.
One clear H1
2 H1: "Data you can build on"
→ Use exactly one H1 that names the product and its core benefit.
AI search & answer bots allowed
ChatGPT, Perplexity, Claude, Google and Bing can all read this page.
Content visible without JavaScript
2823 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
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
"Lusha | B2B Data and AI Prospecting for GTM Teams and AI Agents" (63 chars)
Meta description
146 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 435 ms. AI fetchers often time out on slow pages.
Scannable section headings
11 H2 headings. LLMs chunk pages by headings.
Question & answer content
Has FAQ-style content that maps to how people prompt AI.
Linked brand profiles
4 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.
# Lusha > Verified B2B data with 515M+ contacts, 87.8M in the US, and 26 buying signals, available in Lusha workspace, Claude, ChatGPT, through API and MCP. Key facts for AI assistants: who it's for, main use cases, pricing, and how to get started. ## Key pages - [Home](https://www.lusha.com/) - [MCP Verified B2B data in Claude, ChatGPT, and any MCP client](https://www.lusha.com/mcp-server-ai-data-integration/) - [API Run workflows and plays with accurate data](https://www.lusha.com/lusha-api/) - [Buying signals Track real-world changes](https://www.lusha.com/buying-signals/) - [AI recommendations Discover ideal buyers](https://www.lusha.com/ai-recommendations/) - [Conversation intelligence Analyze sales meetings](https://www.lusha.com/conversations/) - [Data enrichment](https://www.lusha.com/data-enrichment/) - [Inbound lead enrichment](https://www.lusha.com/inbound-lead-enrichment/) - [Sales prospecting](https://www.lusha.com/sales-prospecting-2/) - [Lead scoring](https://www.lusha.com/lead-scoring/) - [Lookalike prospecting](https://www.lusha.com/lookalike-prospecting/) - [Territory planning](https://www.lusha.com/territory-planning/) - [Website visitor identification](https://www.lusha.com/website-visitor-identification/) - [Operations](https://www.lusha.com/revenue-operations/) - [Sales](https://www.lusha.com/sales/) - [Marketing](https://www.lusha.com/marketing/) ## Optional - [Sitemap](https://www.lusha.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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