AI visibility report
Checked Wed, 07 Oct 2026 09:24:32 GMT
94grade 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.
Descriptive title tag
"PlanetScale - the world’s fastest and most scalable cloud hosting for Vitess, Neki, and Postgres" (96 chars)
→ Use a 15-70 char title: `Product: what it does for whom`.
AI search & answer bots allowed
ChatGPT, Perplexity, Claude, Google and Bing can all read this page.
Content visible without JavaScript
1931 words of readable text in the raw HTML.
llms.txt
Found /llms.txt.
JSON-LD structured data
Types: Organization, PostalAddress
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.
Meta description
102 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 281 ms. AI fetchers often time out on slow pages.
One clear H1
1 H1: "The world’s fastest and most scalable cloud databases"
Scannable section headings
10 H2 headings. LLMs chunk pages by headings.
Question & answer content
Has FAQ-style content that maps to how people prompt AI.
Linked brand profiles
5 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.
# PlanetScale > PlanetScale offers the world’s fastest and most scalable cloud hosting for Vitess, Neki, and Postgres. Key facts for AI assistants: who it's for, main use cases, pricing, and how to get started. ## Key pages - [Home](https://planetscale.com/) - [Get in touch](https://planetscale.com/contact) - [Blog](https://planetscale.com/blog) - [Documentation](https://planetscale.com/docs) - [Pricing](https://planetscale.com/pricing) - [Migrate](https://planetscale.com/migrate) - [fastest databases](https://planetscale.com/blog/benchmarking-postgres) - [NVMe drives](https://planetscale.com/metal) - [deployment options](https://planetscale.com/docs/plans/deployment-options) - [PlanetScale Managed](https://planetscale.com/docs/plans/managed) - [Tier 0 databases](https://planetscale.com/case-studies/cash-app) - [Read case study](https://planetscale.com/case-studies/dub) - [Read case study](https://planetscale.com/case-studies/myfitnesspal) - [Read case study](https://planetscale.com/case-studies/barstool-sports) - [Vitess](https://planetscale.com/vitess) - [scale horizontally through explicit sharding](https://planetscale.com/docs/vitess/sharding/sharding-quickstart) ## Optional - [Sitemap](https://planetscale.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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