Prompt

How can I see if ChatGPT recommends my company?

Technology / SEO & AEO Tools6 observationsLast seen Oct 5, 2026

Latest observation

Oct 5, 2026PerplexityWeb search: on

You can check whether ChatGPT recommends your company by running the kinds of questions your customers actually ask and seeing if your business is named in the answers.

Quick manual test

  1. Open a fresh chat in ChatGPT (ideally a “temporary” or incognito-style session so your history doesn’t influence results).
  2. Make sure web search is on if you have that option, so it can pull in current sources.
  3. Ask non‑branded, buyer-style questions, for example:
  • “Best marketing agencies in Kolkata”
  • “Who should I hire for [your service] in Kolkata?”
  • “Top companies for [your niche] in West Bengal”
  • “Alternatives to [well-known competitor] in India” Don’t include your company name in the prompt.
  1. Read the answer and note:
  • Whether your company is mentioned at all
  • Whether it’s explicitly recommended or just listed
  • What position it appears in (first, middle, last)
  • How it’s described (accurately, vaguely, or incorrectly)
  1. Ask a follow‑up: “Which websites did you use for that answer?” to see which directories, review sites, or guides ChatGPT is relying on.
  2. Repeat each question 3–5 times (and on different days) to see how consistent the results are, since AI answers can vary.

If your company shows up regularly in these kinds of prompts, you can say ChatGPT is effectively “recommending” you for those queries.

More systematic approach

If you want something more structured:

  • Write 5–10 realistic buyer questions covering:

  • Broad: “best [your trade] in Kolkata”

  • Specific need: “marketing agency for startups in Kolkata”

  • “Near me” style: “marketing consultant near me”

  • Budget/urgency: “affordable marketing agency Kolkata”

  • Trust-focused: “who should I trust for [service] in Kolkata?”

  • Run them across multiple models (ChatGPT, Gemini, Perplexity) using the same wording.

  • Log results in a simple table:

  • Query

  • Model + date

  • Your brand: absent / mentioned / recommended

  • Position in list

  • Description accuracy

  • Competitors named

  • Sources cited

  • Repeat on a schedule (e.g., monthly) to track changes over time.

There are also emerging tools that automate this (e.g., “AI visibility” or “ChatGPT visibility” trackers), but the core method is still: simulate real buyer queries and measure how often and how positively your brand appears.

If you tell me your company name and main services, I can suggest a tailored set of test prompts you can paste directly into ChatGPT.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (6 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.