Every topic you need to cover, in one graph.
The gaps your competitors miss, mapped from Google’s top 20 and what searchers actually ask. Add your page to see where it falls short.
Find the gaps nobody covers yet.
We read the top-ranking pages for a keyword and map every concept they cover. Hover an opportunity to see a connection none of them make — the whitespace you can own.
A knowledge graph turns content into entities and the relationships between them. Search engines and AI search systems increasingly rely on graph RAG: instead of ranking isolated pages, they retrieve entities, topic clusters, and the connections that link them, then cite the sources that fill those relationships. For on-page SEO this means topical authority now depends on how your content and internal links connect concepts, not just which keywords match a search intent. Structured data and schema markup (JSON-LD) make those entities explicit so a page can surface as a rich result.
Each dot is a concept, size is how connected it is. Hover an opportunity to trace a link none of the top pages make.
From a keyword to a gap list in four steps.
- 1
Enter a keyword
We pull Google's top 20 and what searchers ask around it.
- 2
Add your site
Drop in your URL or draft to compare against the top pages.
- 3
Build the knowledge graph
Pages and questions merge into one concept graph.
- 4
See your gaps
Gaps grouped and ranked, each backed by evidence.
A list of keywords is not a plan.
Keyword tools
A flat list of terms and volumes. No sense of which topics matter together, and no view of what your page is missing.
AI chatbots
A generic, unsourced summary of the topic. A black box you cannot check, with no way to see what the ranking pages actually cover.
- A prioritized gap list, ranked by what to do first.
- Every gap backed by real demand and top-20 consensus.
- A compare view that splits gaps into add, deepen, and keep.
Automate it with the API and MCP.
Everything the web app does is available programmatically. Build audits into your own workflows, or let an AI assistant drive GraphRanks through the Model Context Protocol.
Built for more than English.
Analyze in 6 languages across 9 markets: German, English, French, Spanish, Italian, Dutch.
Built by one developer who works in SEO.
Sebastian Kraus
I've spent over fifteen years building for the web and working in SEO, and lately in the emerging field of generative engine optimization. GraphRanks grew out of that work: I developed a technique that extracts the topical structure of a page in ways that aren't obvious and that other tools simply don't surface. GraphRanks is how I put that method in your hands.
Connect on LinkedInQuestions, answered.
See the gaps in your next page.
Enter a keyword and get your prioritized gap list. Your first 5 checks are free, no card needed.