Beat Your Competition: Target Their Content Gaps with this n8n Automation Workflow

You can use InfraNodus knowledge graph AI and a popular n8n automation tool to identify and target the content gaps of your competition based on topical summaries of their discourse.

This will help you come up with novel product ideas and improve your SEO (search engine) and LLM rankings, because you will cover the most important topics but connect them in a completely new way.

Your ideas will be relevant — as you touch upon the important topics — but also novel — because you connect them in a new way — which can be used to generate better offers and create interesting content that will attract your potential customers. 

The workflow presented here is comprised of 4 main steps:

1. Gathering a list of your competitors

2. Understanding the main topical clusters in their public discourse by analyzing their websites

3. Finding the content gaps — what are the topics they talk about but do not connect yet

4. Targeting these content gaps to generate novel ideas

You can follow the steps in this workflow manually using InfraNodus directly or use the automated n8n templates workflow at https://n8n.partnerlinks.io/content-gaps-competitors

1. Gathering a List of Your Competitors

This can be done manually or using an AI agent with a deep research mode. We have a template at n8n which generates a list of the competitors for you using Perplexity AI for search and OpenAI for data enrichment and formatting. It will produce a list of competitors and save it to a Google Sheet (with the industry name). This list can then be used to analyze their websites.

Here's the link to the workflow: https://n8n.partnerlinks.io/content-gaps-competitors

2. Extract the Main Topics in Your Competitors' Discourse

The next step is to extract the main topics from your competitors' discourse. We can do that manually using the InfraNodus knowledge graph analysis or automatically using our n8n workflow. 

To illustrate how it works, here's a graph built for a list of 23 competitors for InfraNodus in the field of text analysis generated by the AI agent in the Step 1 above.

You can build the same graph by copying a list of companies in the public Google sheet with the sample data and building a graph from the links using the https://infranodus.com/import/url URL import app:

For instance, we identify the main topics as:

- Customer insights

- Data transformation

- Team collaboration

- AI solutions

- Qualitative research

- Survey tools

etc.

If we are to address this market successfully, we need to target all of those topics but connect them in an interesting way. For instance, we could talk about how InfraNodus provides customer insights and encourages team collaboration, how it's useful for qualitative research and especially analyzing surveys and how our AI solutions can be used to generate insights while also highlighting multiple data transformation options.

In our automated n8n workflow this part of the research happens in the Steps 4 and 6, when the websites are scraped and their underlying graph structure is generated by InfraNodus and then saved, along with the topical summaries, into the Google sheet (Topical Summary and Graph Summary columns).

3. Finding the Content Gaps

Now is the moment to find the content gaps in the competitors' discourse. These are the blind spots between the topics that they are all talking about but not yet connecting. 

In order to do that with InfraNodus, we look at the graph of the competitors' discourse and find the topical clusters with the furthest distance from each other (at the opposite peripheral sides of the graph). This approach works because the graph layout is based on Force-Atlas algorithm widely used in network science. To use the social network metaphor: the concepts are the people and the graph shows which groups the concepts tend to form. By bridging the groups that are in the same context (market niche) but are not yet connecting we follow the social broker theory that posits that most innovation happens at the bridges between the clusters within the same communities that are not yet linked.

You can do this automatically when you click Analytics Panel > Content Gaps > Highlight Gap in InfraNodus:

In this case, we see there's a gap between 

- Data transformation

- AI solutions

Which means we could create additional products / content that would propose to use our AI solutions for cleaning and transforming the source data — a well-known pain point for customers that is not yet fully addressed by AI. 

In our n8n automated workflow this stage occurs during the stages 8 to 10 when InfraNodus extracts the topical summaries from the Google sheet we prepared earlier — along with the graph summaries — and then generates a general summary overview and a list of research questions that could be used to address the gaps identified:

4. Targeting Content Gaps

These insights are then saved into Google Docs, but you can use them further by connecting them to other workflows, e.g. automated content creation workflows on n8n that would use these insights and generate contend drafts or social media posts that address the gaps and propose new product ideas. 

...

To try this workflow on n8n, please, go to https://n8n.partnerlinks.io/content-gaps-competitors

To try this directly in InfraNodus, go to https://infranodus.com 

If you have any questions, feel free to contact us!