> For the complete documentation index, see [llms.txt](https://flensh.gitbook.io/flensh-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://flensh.gitbook.io/flensh-docs/core-features-in-detail/2.6.-leveraging-competitor-analysis/how-to-read-the-comparative-analysis-charts..md).

# How to read the comparative analysis charts.

The Competitor Benchmarking section presents a ranked list of your top 10 competitors. Here’s how to interpret the data for each competitor:

* **Rank:** This shows their position from 1 to 10 based on their overall AI performance.
* **Competitor Name & URL:** Identifies the rival company and their website.
* **Overall Score:** This is their total AI Visibility Score, calculated using the same methodology as yours. It provides a quick, direct comparison.
* **AI Engine Scores:** A visual bar chart shows their individual scores for ChatGPT, Gemini, Claude, etc. This allows you to see where they are strong. For example, a competitor might dominate on ChatGPT but be weak on Perplexity.
* **Key Strengths:** Flensh lists the top three strategic advantages that contribute to their high score, based on the AI's research (e.g., "Deep technical documentation," "Strong user-generated reviews," "Excellent content structure").
* **Competitive Advantage:** A concise summary explaining the core reason for their success. This insight is crucial for understanding why they are winning.


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# Agent Instructions
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