Semantic SEO & AI Visibility with Knowledge Graphs

Build content that search engines and LLMs understand. See entity relationships, find structural gaps, and optimize for AI discovery.

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InfraNodus semantic SEO knowledge graph visualization

Entity-Driven SEO for Search Engines and AI

Traditional SEO focuses on keywords. But search engines and LLMs now understand entities and their relationships. InfraNodus helps you see your topic space the way AI systems do.

1. Map Entity Relationships

Import search results, your content, or AI responses to visualize how entities connect. See the topical clusters that define your subject.

2. Identify Structural Gaps

Network analysis reveals gaps between clusters that competitors miss. These are your highest-value content opportunities.

3. Build for AI Discovery

Compare search intent, search results, and AI understanding to create content that ranks in traditional search and appears in LLM responses.


 
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✓ Certified InfraNodus Partner

Need Expert Implementation Support?

Translating semantic graph insights into actionable SEO strategy requires specialized expertise. Work with a certified InfraNodus system integrator who understands both network analysis and search optimization.

✓ Entity architecture and knowledge graph design
✓ Structural gap analysis to content strategy
✓ Schema markup and structured data implementation
✓ AI visibility and generative search optimization
Schedule Consultation Learn more about integrators →
Exalt Growth

Exalt Growth

InfraNodus System Integrator
Specializations
SaaS SEO Entity Architecture AI Visibility Schema Strategy

Exalt Growth specializes in translating InfraNodus semantic analysis into practical SEO implementations. From knowledge graph design to GEO optimization, they help SaaS and ecommerce companies build content that performs.

Work With Exalt Growth →

 




Built for Semantic SEO

AI Ontology Graph

See how LLMs conceptualize your topic. Compare AI understanding to search results.

Entity Extraction

Extract entities and relationships from any content to build schema strategy.

Structural Gap Analysis

Find missing connections between clusters that represent content opportunities.

Demand vs Supply

Compare search intent graphs to results graphs. See what people want but cannot find.

Topical Clustering

Identify semantic groupings for site architecture and content hub design.

Conceptual Gateways

Find bridge concepts that connect clusters. Target these for internal linking.


Multilingual

English, German, French, Spanish, and more.

Fully Shareable

Export to GEXF, PNG, CSV. Embed graphs anywhere.

SEO MCP Server

Use our SEO workflows in your favorite LLM.

Interactive Graphs

Full control: filter, select, explore.


 

Analyze Multiple Sources


Build knowledge graphs from search results, AI responses, competitor content, and your own pages.

 

Google & SEO

Search results, related queries, Scholar

AI Ontology

How LLMs understand your topic

Websites

Scrape pages, URLs, sitemaps

CSV Import

Your keyword data from any tool

Start Mapping Your Entity Landscape

See semantic relationships your competitors are missing.

Start Using Right Now Work with an Expert


Typical Workflow for Semantic SEO


Start by entering your target topic or keyword. InfraNodus will import related search results, AI ontology data, or your custom content to build the initial knowledge graph.

Import topic for semantic SEO analysis

The network visualization reveals how entities cluster around your topic. Each color represents a semantic grouping. Larger nodes have more influence in the discourse.

Entity cluster visualization for semantic SEO

Structural gap analysis identifies missing connections between clusters. These gaps represent content opportunities where you can bridge concepts competitors keep separate.

Find structural gaps between entity clusters

Compare how search results present a topic versus how AI models understand it. Find opportunities where AI coverage differs from traditional SERP coverage.

Compare search results to AI understanding

Extract entity relationships to inform your schema markup strategy. The knowledge graph shows which entities to mark up and how they relate.

Extract entities for schema markup strategy

Use AI ideation to generate content briefs based on structural gaps. The brief targets specific entity relationships and semantic coverage goals.

Generate AI-powered content briefs for semantic SEO

 

How InfraNodus Knowledge Graphs Work

1

1. Represent topics as entity networks

Using our peer-reviewed methodology, we visualize a network graph of entity co-occurrences to reveal the most prominent patterns, top concepts, and topical clusters. This shows how ideas connect, not just which keywords appear.

More on the Methodology in our Whitepaper
Entity network visualization for semantic SEO
2

2. Maximize informational gain by targeting structural gaps

Network graph visualization helps identify gaps between topical clusters. Content that bridges these gaps adds the most informational gain to the current discourse, ranking higher in both Google search results and AI chatbot responses.

Structural gap analysis for content optimization
3

3. Compare search intent, search results, and AI understanding

Overlap multiple graphs to find differences between what people search for, what they find, and how AI models represent the topic. Target these differences to optimize for both traditional search and AI visibility.

Compare search intent and AI understanding

Try InfraNodus for Semantic SEO Now

Start visualizing your topic space and discovering content gaps. Install our MCP server to your favorite LLM.

Start Now

Pricing Options

Your support is what makes it possible for us to develop this tool. All quotas are per each text. There is no limitation on the number of texts you can process every month. Prices do not include VAT for EU private customers.

Lock in current prices for life and save up to 35% (€100-€200) on our annual plans.

Monthly Annual Save up to 35%

Advanced Account

€ 32 /mo
saving €204 or 35%
  • 14-day free trial
  • everything on the Basic +
  • API access
  • MCP server
  • Dedicated support
  • 2 Mb per upload
  • 5 Mb per PDF upload
  • Extended data import quotas
  • 100 GPT-4 credits / hour
  • Live graph updates (max 5)
  • Commercial use
Sign Up

Basic Account

€ 12 /mo
saving €84 or 35%
  • 14-day free trial
  • Community support
  • Full graph analytics
  • MCP server
  • Chrome / Firefox extension
  • Obsidian graph view plugin
  • Import data from web sources
  • Max 40 imports per source
  • 300 Kb per file upload
  • 1Mb per PDF upload
  • 40 GPT-4 AI credits / hour
  • Personal / Academic use
SIGN UP

Premium Account

€ 66 /mo
saving €156 or 16%
  • 14-day free trial
  • everything on Advanced +
  • API integration support
  • MCP server
  • Training: 1 hour / month
  • 10 Mb per upload
  • 50 Mb per PDF upload
  • Max import quotas
  • 500 GPT-4 credits / hour
  • Live graph updates (max 20)
  • Fast-track required features
Sign Up

 

 
Sign Up for a Free 14-Day Trial
All plans come with a free 14-day trial and you can cancel or pause at any time.

 
 

Interested in a Self-Hosted Standalone App?

If you prefer to host all data on your own servers and have a dedicated instance for your enterprise, you can sign up for an Enterprise account starting at €9900 per year and €2900 setup fee. Please, contact our sales team with your specifications to get an offer.

InfraNodus vs. Traditional SEO Tools

Traditional tools focus on keywords and volume. They miss the entity relationships that drive modern search and AI discovery.

without InfraNodus

  • Keyword lists in tables
  • Focus on search volume and difficulty
  • No entity relationship data
  • Content gaps based on keyword count
  • No AI visibility insights
  • Schema as an afterthought
  • Cannot compare search vs AI understanding

with InfraNodus

  • Visual knowledge graphs
  • Focus on entity relationships and clusters
  • Full semantic network analysis
  • Structural gaps between concepts
  • AI ontology comparison
  • Schema derived from entity extraction
  • Demand vs supply vs AI graph overlap
Sign Up to Try Now

 

 

Semantic SEO Graphs Made with InfraNodus

Explore example knowledge graphs for different topics. Click to interact with the graphs and see structural gaps.

Search intent knowledge graph for semantic SEO
Search intent for "semantic seo"
AI ontology graph for semantic SEO
AI understanding of "semantic seo"
Content gap analysis semantic SEO
Demand vs supply comparison
Competitor website entity analysis
Competitor website analysis

Become an Expert in Semantic SEO with InfraNodus

InfraNodus makes knowledge graph analysis accessible. All features include step-by-step tutorials. For deeper guidance, browse our support portal or contact us to discuss your use case.

Support Portal   SEO Tutorial
 
Gap Analysis Guide   Contact Us
Certified System Integrator

Exalt Growth

Expert implementation support for semantic SEO

SaaS SEO Entity Architecture AI Visibility Schema Strategy
Work With Expert →