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.



 
Watch an Introduction Browser Extension

Powered by network analysis, knowledge graphs, and AI.

1. Get a visual summary

Analyze your notes, ideas, PDFs, CSVs, Google search results, surveys, tweets, spreadsheets.

2. Discover content gaps

Reveal the most important topical clusters and gaps between them using a text network.

3. Generate insight using AI

Use the built-in GPT-4 AI model to bridge those gaps and enrich your perspective.



Import your data from anywhere

Use a live editor, upload files, scrape websites.

Topic modeling & sentiment

Includes the key text analytics insights.

Interactive text visualization

Harness the power of visual thinking.

GPT-4 AI-enhanced workflow

AI that thinks with you, not for you.



Multilingual

English, German, French, Portugese, Spanish, etc.

Fully shareable

Share online, embed, or export high-res images.

Private by default

Your data is private, exportable, and hosted in EU.

Browser extension & API

Analyze web pages, YouTube, connect to your own data.



Sign Up to Try

Install Browser Extension




Step by Step Workflow:

 

You can use the built-in text editor, upload your files, or import data from Google, YouTube, Twitter, websites, RSS feeds, Evernote, Obsidian, scientific databases, spreadsheets etc.

Text to network graph visualization

Reveal the patterns using the text network knowledge graph, identify the main topical clusters, top keywords, structural gaps, and trends. You can also use them to augment your RAG prompts.

Topic modeling and text mining using text network analysis

Use the interactive graph to find the most relevant excerpts and discover the relations between the ideas. Select the relevant parts of the graph to explore in more detail using the built-in AI.

Get the relevant excerpts using the graph

Find the content gaps: connect the topical clusters and ideas that are not yet linked, discover what everyone else is missing. Use our API to generate research questions that can be used in your LLM workflows.

Structural holes in knowledge graphs generate new ideas

Use the built-in GPT-4 powered AI chat bot and underlying knowledge graph structure to generate text overviews, summary, research questions, facts, and innovative ideas.

Use OpenAI's GPT to generate research questions and innovative ideas for your discourse




Multiple Import Sources


You can ingest data from multiple sources and formats automatically, no need for a scraper anymore. Here are some of the most popular ones, you can also use the API to connect to your own data sources:

 

PDFs & Markdown

Multiple text files import: txt, pdf, md.

CSVs & Spreadsheets

Import by columns, advanced filtering

Plain Text

Copy and paste any text in real time

Google & SEO

Search results, Scholar, related search queries


YouTube

Transcripts, comments, search results

Websites

Scrape whole websites, URLs, and sitemaps

Amazon

Product search results and customer reviews

News & RSS

RSS feeds, latest news, XML files





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.

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    Try It Now

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    Try It Out


 
 
 
 

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.

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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.

Monthly Annual Save up to 35%

 

 
Sign Up for a Free 14-Day Trial

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