Services/AI-Assisted Systems

AI Brand Visibility Tracking (GEO)

Traditional SEO tracks whether you rank on Google. It doesn't tell you whether ChatGPT, Perplexity, or Gemini actually mention your brand when someone asks a buying question in those tools instead. That's a different, newer problem, and it needs a different kind of tracking, the same approach behind GEOGym, applied to your brand.

What's Included

  • Automated queries across ChatGPT, Perplexity, and Gemini using real buying-intent prompts your prospects would actually type, not generic brand-name searches
  • Tracking whether your brand gets cited in the answer, and in what context, recommended, mentioned neutrally, or absent entirely
  • Share-of-voice reporting against named competitors, so you can see the gap instead of guessing at it
  • Structured data and entity signal cleanup on your own site, since that's the input AI answer engines actually pull from, they can only cite what they can parse

How I Approach It

I built GEOGym to solve this exact problem, a Python and Streamlit pipeline that queries multiple LLMs with real buying-intent prompts and tracks whether a brand shows up in the answer, deployed as a client-facing dashboard rather than a one-off spreadsheet.

The same methodology applies here. Prompts are written around what a real prospect would ask an AI assistant while researching, not just the brand name in isolation, since almost nobody actually types a competitor comparison that plainly. Results get tracked over repeated runs, not a single query, because a single AI answer on any given day tells you very little on its own.

Built & In Use

GEOGym

A benchmarking platform built at Concurate to track whether a brand actually gets cited inside ChatGPT, Perplexity, and Gemini answers, using B2B buying prompts against multiple LLMs and reporting export functionality and share-of-voice tracking through a deployed dashboard.

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Frequently Asked

What is GEO and how is it different from SEO?

SEO gets you found on Google's results page. GEO, Generative Engine Optimization, is about whether ChatGPT, Perplexity, or Gemini actually mention your brand when someone asks a relevant question inside those tools instead of searching Google. They pull from different signals, structured data and clear entity information matter more, direct traditional backlinks matter less.

Which AI tools do you track?

ChatGPT, Perplexity, and Gemini primarily, since those are where real assistant-driven buying research is happening right now. Coverage expands as usage shifts, the goal is tracking where your actual prospects are asking, not every tool that exists.

Can this be tracked reliably? The same question gets a different answer every time.

That's a real constraint, and it's why a single query means almost nothing. The same prompt set gets run repeatedly over time, and what matters is the citation frequency and trend across those runs, not any one answer. Treating a single response as gospel is how this kind of tracking goes wrong.