KeywordGraph Web App
A graph-native SEO research tool built for teams who treat content as a network rather than a list.
What KeywordGraph is
KeywordGraph turns search queries, SERP results, and existing content into interactive knowledge graphs. The graphs surface topic clusters, the relationships between them, and the coverage gaps where new content has the highest informational gain.
The underlying engine is a peer-reviewed text network analysis system (ACM, 2019) used in academic research, journalism, and AI-assisted thinking across more than thirty countries. KeywordGraph applies that engine to SEO and AI-search optimization.
What it’s built for
Four jobs the platform was designed around.
- Topical authority builds. See your content as a graph; identify the central entities, the perimeter, and the bridges to adjacent topics. Order publishing by coverage gap rather than by keyword volume. Read the full guide.
- Keyword research without flat lists. The output is a topic graph plus a passage brief per planned page, not a spreadsheet sorted by volume. See the workflow.
- Semantic SEO at the cluster level. Make the link graph match the topic graph; cover the entity neighborhood; signal topical depth to retrieval systems. Read the framework.
- LLMO and AI citation capture. Structure content so AI engines retrieve, cite, and synthesize from it — not just paraphrase without attribution. See the LLMO guide.
Who built it
KeywordGraph is developed by Nodus Labs, a research company working at the intersection of network science, knowledge representation, and AI. The team’s primary research has been published in peer-reviewed venues including ACM, with ongoing open-source releases on GitHub.
The founder, Dmitry Paranyushkin, holds a PhD in network science and has spent over a decade applying text network analysis across academic research, journalism, and AI-assisted reasoning. The work that became KeywordGraph started as a way to make graph-based research accessible to SEO teams without requiring the broader research vocabulary.
Where to start
Three entry points depending on what you are working on.
- Brand new to the practice: start with what topical authority actually is. The concept underpins most of the rest of the content on this site.
- Running keyword research today: read raw keywords to content opportunities. It is the bridge from keyword list to publishing plan.
- Curious about AI search: see the LLMO guide and topical authority for AI search.
Try KeywordGraph
The free 14-day trial includes the full feature set: demand graph, SERP graph, gap analysis, passage briefs, and MCP server access for ChatGPT and Claude.