ChatGPT Citing Audit

Measure how closely your content matches the answers that large language models like ChatGPT generate for your target queries using embeddings and cosine similarity.

How the similarity calculator works

Under the hood, the tool:

  • Transforms your page content, titles, descriptions and queries into vector embeddings.
  • Does the same for ChatGPT responses (with and without web search).
  • Computes cosine similarity scores between your content and each response.
  • Aggregates the scores so you can see how well your page aligns with AI answers overall.

The higher the cosine similarity, the more your content "sounds like" the answers LLMs want to give. That alignment is exactly what we see driving citations and recommendations in generative search.

When to use this similarity calculator

  • Before publishing – check if a draft article actually answers the query the way ChatGPT does.
  • To debug underperforming pages – find out why a page is rarely cited in AI overviews.
  • To benchmark competitors – compare your content similarity against brands that LLMs already recommend.

FAQ: Similarity, embeddings and GEO

What does a "good" similarity score look like?

There is no universal threshold, but higher average similarity between your content and AI responses for a query usually correlates with better visibility and more frequent citations. The tool helps you compare pages against each other rather than chase a single magic number.

Does this replace traditional SEO metrics?

No. Classic SEO signals like links and relevance still matter, especially for being retrieved in the first place. The similarity calculator focuses on the post‑retrieval step: once LLMs see your page, how likely is it to be chosen and cited in the answer.

How does this relate to Sellm's GEO platform?

Sellm tracks how often your brand is mentioned and recommended across models like ChatGPT, Gemini, Claude and Perplexity. This similarity calculator is one of the diagnostics we use internally to understand why certain pages consistently win citations in generative search.