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The SEO & LLMO Workflow: Build Topical Authority with Knowledge Graphs

An end-to-end, four-step method for getting your content and products to the top of search results and LLM output — run with the visual graph interface or the MCP server inside your LLM.

Using InfraNodus and its SEO-focused companion KeywordGraph, you can build topical authority in any domain so your content and products reach the top of search results and LLM output. We and our certified partners have applied this method to our own content and to many client projects. It works through the visual graph interface and / or the MCP server, called directly inside an LLM.

The InfraNodus SEO and LLMO methodology, shown as a four-step flow from topical structure to content strategy
The full method: understand the topical structure, map your co-occurrence position, estimate search intent, then fuse it into a content strategy.

The method rests on understanding how LLMs and search engines see a domain through a knowledge-graph representation. The graph shows what is structurally important and which topical clusters your content must cover to rank for the main queries. It also reveals content gaps between clusters that, once bridged, raise the information-gain signal Google rewards.

A further layer, essential for LLM optimization, is where your brand, methodology, and target terms sit within the co-occurrence structure of the wider conversation. LLMs learn associations from which terms appear near which others across the web, so being densely co-occurring with your target vocabulary is what makes you retrievable. The same graph shows where you are embedded, where you are absent, and where seeding your terms shifts your position most efficiently.

The next step estimates search intent for the same queries, to learn what people actually search for. Some of what they search may be missing from LLM output and search results — untapped gaps and opportunities. Finally, we combine these insights into a content strategy that can become an article, a website section (a pillar/spoke structure), or a whole site.

The Four Steps

Analyze LLM output and the top Google results for your domain to learn what both consider authoritative — the topical clusters you need to cover.

Build a second graph of the contexts where your brand and target terms already appear — the seeding map of where to get mentioned next.

Study what people actually search for, and find the gaps between informational demand and what current results supply.

Fuse every graph into one content strategy — an article, a pillar/spoke website section, or a whole site.

Run the Workflow on Your Own Topic

Every step in this tutorial runs natively in KeywordGraph and InfraNodus — in the visual graph interface or through the SEO MCP server inside your LLM. Start with a seed query and follow the steps.