Discover What Everyone Else Is Missing
Get a clear overview of any text, topic, or AI knowledge base.
Uncover content gaps to generate new ideas and insights.
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Perfect for Ideation, Research, and Marketing
InfraNodus can be used throughout the full cycle: from exploring what's needed and generating ideas, to mapping existing knowledge or discourse, and analyzing how those ideas resonate—helping you see where to go next.
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Research & Ideation
Generate insights, brainstorm new ideas.
Watch the Video -
Consulting & Marketing
Reveal untapped trends and market opportunities.
Learn More -
SEO: Reveal Content Gaps
Optimize your strategy for search engines and LLMs.
Case Study -
Qualitative Analysis
Analyze open-ended surveys, interviews, etc.
Case Study
Use Case: Get an overview of any topic or document and discover unique insights
Problem: How can you go beyond generic AI insights?
Current AI tools offer generic summaries and shallow insights. They are designed to provide the most likely responses, not to explore new or overlooked perspectives.
Solution: AI-powered interactive knowledge graph for brainstorming and ideation
InfraNodus will represent any text as a network and use powerful graph analysis algorithms to identify and highlight the most influential keywords, topics, and their relations. You, the human, can work together with the built-in AI to see patterns, topical clusters, and — more importantly — reveal the blind spots between them.
Topical Overview Case Study Try It Now
Use Case: Analyze your market and find untapped opportunities
Problem: The current patchwork of tools focuses on what's already there, not on what's missing
It's possible to track current trends and see what competitors are doing, but the more compelling question is what they haven’t done yet—what ideas remain unexplored or untested.
Solution: Use InfraNodus to study what your competitors are talking about an what they are missing.
Using InfraNodus, you can import search results on a specific topic from Google or scientific databases to gain a clearer picture of what’s already been done in the field. Then, analyze your competitors’ websites and reports for a deeper look into their discourse. Finally, identify the gaps—the ideas everyone’s talking about but no one’s connecting.
Competitive Intelligence Case Study
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Use Case: SEO and LLM Content Optimization
Problem: How to make sure your content is shown at the top of search / LLM results?
Everyone uses the same tools and competes for the same keywords. What’s often missing is relational insight and a holistic understanding of the context.
Solution: Use InfraNodus to target the content gaps for maximum informational gain.
Visualize what people are searching for and compare it to what they find. Find the keyword relations that they are missing. Targe those combinations to create high ranking content.
Analyze the content of search results and target the existing gaps with your content. Use the built-in AI to generate content ideas.
Keyword Research Case Study Try It Now
Use Case: Qualitative research and thematic analysis of open-ended responses and customer reviews
Problem: Struggling to understand what your customers truly think?
Open-ended survey responses are difficult to analyze. Basic positive / negative categorizations fall short, and tag clouds often miss the context.
Solution: Uncover patterns in open-ended survey responses using network graphs.
InfraNodus visualizes customer feedback as a word graph, where words used within the same response are interconnected.
This representation will reveal the patterns and context in your customers' responses and reviews, allowing you to easily identify key topics as well as hidden relationships that other tools might miss.
Thematic Analysis Case Study
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InfraNodus Graph Examples
Real-Time Data Analysis
News of the day, Google search results, Tweets, Amazon reviews.
Research Papers, Notes, and Books
Analyze PDF files, Evernote or Obsidian notes, books, articles.
Mind Maps and Knowledge Graphs
Use the [[wiki links]] syntax to create custom knowledge graphs.
Start Using InfraNodus
Sign up for an account now, so you can get insight using this tool for your own data and texts.
How Does InfraNodus Work?
InfraNodus visualizes any text as a knowledge graph. Drawing an analogy from social sciences, words are represented as nodes, while their co-occurrences create the connections between them. This network representation enables the use of advanced graph theory algorithms to identify clusters of related ideas, highlight the most influential concepts and hidden intermediaries, and reveal gaps within the discourse. This approach can be used to enhance your perspective on any discourse and explore nuances of meaning that might otherwise remain hidden.
Additionally, AI-driven algorithms are employed to generate insights and new ideas for any discourse based on the topical clusters and gaps discovered.
To learn more about the algorithms used in InfraNodus and for citations, please, refer to this peer-reviewed paper:
Paranyushkin, D (2019). InfraNodus: Generating Insight Using Text Network Analysis, Proceedings of WWW'19 The Web Conference, www.infranodus.com (ACM library, PDF).
Ecological Thinking and Cognitive Variability
Gregory Bateson coined a beautiful term: "ecology of the mind". What is a mind that is ecological? It has the ability to have an overview, but it can also zoom in on any idea. It embraces diversity, but it can also obsess over one thing when needed. It can discover the obvious, but it can also reveal the hidden and ponder the gaps that have yet to be bridged. Focused, yet adaptive. Rational, yet poetic.
InfraNodus is a tool that is developed to help you think this way. It is made to promote ecological dynamics and diversity on a cognitive level. Too often, people get stuck in certain ideas or thought patterns. InfraNodus can be used as a "mind antivirus" against obsessive loops — biased ideas, mundane patterns, totalitarian thinking, propaganda, and narrow-mindedness — proposing a pan~archic form of thinking that spans a range of states and modalities.
Sign Up for a Free 2-Week Trial
Discover the power of ecological thinking and cognitive variability using knowledge graphs and AI-driven insights.
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.
Advanced Account
saving €204 or 35%
- 14-day free trial
- everything on the Basic +
- API access
- 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
Basic Account
saving €84 or 35%
- 14-day free trial
- Community support
- Full graph analytics
- 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
Premium Account
- 14-day free trial
- everything on Advanced +
- API integration support
- 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
InfraNodus vs. Other Tools
Traditional tools and AI chatbots are limited by their inability to understand the underlying structure and relationships in your data. InfraNodus provides a unique approach to text analysis that reveals the hidden patterns and insights in your data.
without InfraNodus
AI Chatbots & Analysis Tools
- Use bulletpoints and long text
- Provide generic responses
- Black-box approach hides reasoning
- No graph, no deeper understanding of context
Traditional Mind Mapping
- Limited to hierarchical structures
- Manual creation is slow and prone to bias
- Does not reveal patterns and relations
- Limited import sources
Standard Text Analysis
- Meaningless tag clouds that lack context
- Only shows positive / negative sentiment
- Results in tables that hide relationships
- Limited interactive exploration
with InfraNodus
AI-Powered Knowledge Graphs
- Reveal patterns in your data
- Original insights from the structure
- Interactive graph shows you what's happening
- GraphRAG finds gaps in your knowledge
Network Visualization & Analysis
- Systematic approach to text analysis
- Auto-generated knowledge graphs
- Uses network science to reveal unique insights
- Import data from anywhere
Text Network Analysis
- Reveals main topics, relations, and content gaps
- Detailed context for every sentiment
- Emphasizes relationships through a graph
- Combines metrics with exploration
Testimonials from Our Users
InfraNodus is used by researchers, consultants, writers, marketing professionals, corporations, and NGOs — Greenpeace, Procter & Gamble, and others. Here's what some of our users have to say:
Become an Expert in Network Thinking
Our support portal contains a wealth of information on AI-enhanced text analysis, network science, data visualization, and their applications. You can learn how to create new network graphs, interpret them, discover hidden patterns in your data and share the results of your research.
You are welcome to contact us at any time via our Discord community or by submitting a support ticket. We are always happy to help you with any questions you might have and recommend the most effective ways to use InfraNodus for your research, writing, marketing, or any other purposes.
1. How to Build a Knowledge Graph
You can use the AI to generate a knowledge graph for any topic or import any text, PDF document, web page, or Google search results. More on Generating a knowledge graph with AI
2. How to Read and Interpret Network Graphs
Studies have shown that diagrams and especially network representation of data makes you think more of connections in your data. You can identify the main elements as well as the relations between them and — most importantly — discover the gaps in your knowledge using the graphs. More on Reading the Graphs
3. Find the Most Relevant Parts in Text
Network graphs are great for non-linear reading. Look at the graph, find the part you like, click on the nodes, and you'll see the excerpt of your original data that contains this exact combination. More on Nonlinear Reading
4. Discover the Content Gaps in Your Knowledge
You can use the knowledge graph to reveal the main topics in any discourse. Some topics are not very well connected: these are the content gaps that can be used to generate new ideas and insights. More on Discovering Content Gaps