Prompt

How can I track competitor visibility in ChatGPT?

Technology / SEO & AEO Tools5 observationsLast seen Sep 29, 2026

Latest observation

Sep 29, 2026ChatGPTWeb search: on

Yes. The key is to treat ChatGPT visibility as a measurement problem, not as a conventional Google-style ranking.

There isn't a simple public “ChatGPT rank” or brand-mention feed; visibility trackers generally run a fixed set of prompts against ChatGPT repeatedly and analyze the resulting answers. MeasureLayer+1

A practical competitor-tracking setup

1. Build a fixed prompt set

Create 30–100 prompts across four buckets:

  • Category: “What are the best [product category] tools?”
  • Problem: “How can I solve [customer problem]?”
  • Comparison: “[Your brand] vs [Competitor]”
  • Buying intent: “What should I look for when choosing [product]?”

Use the same prompts for you and every competitor. This is important because changing the questions makes the trend data much less meaningful. VisiScan

2. Track these metrics for every answer

MetricWhat it tells you
Mention rate% of prompts where the brand appears
Share of voiceYour mentions relative to competitors
Recommendation rateHow often the brand is actually recommended
Position/orderWhere the brand appears in lists or comparisons
Citation rateHow often your website/content is cited
Cited domainsWhich third-party sites influence the answer
Prompt coverageWhich customer questions produce visibility
Sentiment/contextHow the brand is described
AccuracyWhether ChatGPT's description is correct

Don't collapse all of this into one score. A competitor might be mentioned frequently but have relatively few citations, while another might be cited heavily without being recommended. Ansvisor

3. Run each prompt repeatedly

ChatGPT responses can vary depending on the conversation, retrieval, location, model/surface and timing. So a single test isn't a reliable “rank.” Repeated sampling gives you a visibility rate instead. VisiScan

For example:

50 prompts × 3 runs × 4 competitors

Then calculate:

competitor mention rate = answers mentioning competitor / total answers

Do this weekly or monthly and plot the trend.

Tools that can automate it

There are now several products specifically designed for this:

The most useful dashboard

I'd structure your dashboard roughly like this:

ChatGPT competitive visibility — September 2026

MetricYouCompetitor ACompetitor BCompetitor C
Mention rate42%57%31%24%
Recommendation rate28%41%22%18%
Citation rate19%36%27%14%
Avg. position2.81.93.13.7
Prompts with visibility42/10057/10031/10024/100

Those numbers are illustrative—the important part is the consistent methodology and trend over time, rather than treating any single snapshot as an authoritative ChatGPT ranking.

The next level is particularly valuable: for every prompt where a competitor appears and you don't, record which sources ChatGPT cited. That turns competitor monitoring into an actionable content/PR/AEO analysis: you can see which publications, comparison pages, reviews, Reddit threads, directories, or competitor-owned pages are associated with their visibility. Tools such as Ahrefs explicitly expose cited domains and pages for this purpose. Ahrefs

If you tell me your company + 3–5 competitors + industry, I can give you a ready-to-use 50-prompt ChatGPT competitor visibility tracking framework, including the metrics and spreadsheet structure.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (5 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.