Google Search Workflow: Get an Overview of any Topic

InfraNodus can be used to get a quick overview of any topic using the Google search results. It imports the top 40 (or more) search queries and visualizes the main topics inside, the concepts, relations, and gaps between them. You can use these insights to better understand the current informational supply and to learn what's missing, which can be very useful for content marketing and SEO strategies.

Video Tutorial

Step by Step Workflow:

Here are the steps you can follow to get an overview of any topic with Google using InfraNodus. Note, this can be done using both the InfraNodus web app and the InfraNodus browser extension.

Step 1. Import Google search results for a topic

Step 2. Get a visual summary of the main topics

Step 3. Explore the keywords and their relations

Step 4. Reveal the content gaps and use AI to generate new ideas

Step 5. Save your ideas to project notes

Step 6. Reveal the latent and underlying ideas

The workflow is also available at the top right corner of the web app. Below you will find an explanation of each step in more detail.

Step 1: Think of a topic and use the Google app to import the search results

Think of a subject you're interested in and then come up with the most general search query for it, so you can get an overview of the search results on this subject.

Go to https://infranodus.com/apps and open the Brainstorming > Google search results app and type in your search query (e.g. "ai agents"): 

Step 2: Get a visual summary of the main topics

InfraNodus will analyze and visualize the first 40 Google search results for this query as a graph. It will use the page titles and the search results snippets provided by Google.

The concepts (lemmatized keywords) are the nodes and their co-occurrences are the connections between them. Based on network analysis we add structured insights into the graph, ranking the size of the concepts by their importance (based on betweenness centrality) and clustering and color-coding the keywords based on the community structure of the knowledge graph:

You will notice that the search keywords are removed from the graph (top right), so they don't overload the search results every text snippet contains these keywords. This helps you see the context around the search query so that you understand what people actually find when they search for this topic.

The topical clusters have AI-generated names that help you understand the high-level ideas in the search results. 

For instance, in our case we can see that the top 4 topics for the search results on "ai agents" are "automated services", "business optimization", "decision-making", and "complex tasks". This is a pretty good overview of what AI agents are good for and we already get a very good understanding of what AI agents are about in just a few seconds.

Actionable insight: if we want to create content about AI agents that would rank high up on Google we'd need to make sure we talk about those topics but in a way that maximizes the informational gain. If we are just studying this concept we now know the topics we need to explore deeper in order to understand what it is about.

Step 3: Explore the keywords and their relations

Now it is time to zoom in and to explore the keywords, relations, and topics in more detail. You can choose the keywords that seem interesting to you or start with the most influential keywords (shown bigger on the graph). Those more influential keywords are not necessarily the most frequently mentioned one. We use a different type of influence ranking that emphasizes connectors between the topics: the concepts that are important for meaning circulation. 

Click some of those concepts and filter the search results where they appear:

You can then click on those search results to see the actual pages, which is a very effective way of searching because you have a much higher chance of getting to the results that are more relevant to your interest than if you just looked at the Google search results page (only 80% of people scroll pass the first 3 results).

Actionable insight: see how those keywords are used in combinations and understand that, for instance, in this case "decision-making" is connected to "tools" and "tasks" and "learning" about the "environment", which gives you a better understanding of both the topic itself and the language you should be using to promote your ideas in this field. 

Step 4: Reveal the content gaps, use AI to generate new ideas

Now we come to the most powerful part of InfraNodus: its ability to reveal content gaps in a discourse. You can target those content gaps to maximize the informational gain and get your results to the top of Google search results. 

Content gaps are the structural gaps in the network: the topics that are not very well connected. By targeting those gaps and bridging them with your content and ideas you can develop the discourse and tell Google that your content provides the highest informational gain to this context because you are talking about the topics that are important, but you're doing it in a way that nobody else does.

You can then generate an research question using the built-in AI which can be used to create new content or as a prompt for writing an article on the topic that bridges ideas in a new way. In our case, InfraNodus is proposing us to think of how we could leverage multimodal information for enhancing decision-making in companies. In other words, how AI agents could be used to listen, watch, and read everything that happens in an organization and distill decision trees that lead to successful results (and not only use the logics programmed into them following the organization's IT department). This can be in itself a very interesting product to explore.

Actionable insight: finding gaps in content helps you come up with innovative ideas and original content that touches upon the important topics but connects them in a new way, improving your search results position while also encouraging you to contribute to the discourse in a useful way.

Step 5: Save your ideas to project notes

As you have the ideas, write them down to project notes. You can also auto-generate insights from the Analytics panel for future use in your content strategy or AI content creation workflows:

Step 6: Discover latent and underlying ideas

You can also discover latent ideas in the discourse. There are two ways to do that:

a. You can go to the Missing Content > Latent ideas and highlight the keywords that are marked as the "Gateway Keywords". Those are the keywords that have the highest ratio of influence per the number of connections. Which means that these words might be not as frequent as others but they play an important role in connecting the topics inside this discourse and also connecting this discourse to other topics as well: 

You can use the built-in AI to generate ideas that relate to those concepts and develop the discourse further, which can be important for creating original content and research applications. 

b. Another way to reveal latent topics is to hide the most influential concepts from the graph. This is akin to slicing the top layer off the discourse to see what's hiding underneath. As a result, InfraNodus will reveal underlying concepts and help you explore this discourse in more detail (reiterating through the steps 2 to 5 above):

Actionable insight: you can find the latent topics that not everyone is talking about and maximize informational gain in this discourse by targeting those topics and developing them further. 

Try this workflow yourself with this public demo graph:

https://infranodus.com/texts/google_ai-agents?background=dark&show_analytics=1&most_influential=bc2&maxnodes=150&labelsize=proportional&edgestype=curve&drawedges=true&drawnodes=true&labelsizeratio=2&dynamic=highlight&cutgraph=1&selected=highlight&hide_always=1&analytics=1&stopwords=ai+agents+ay+agent