Track AI search visibility across ChatGPT, Claude, DeepSeek and Perplexity

Track AI search visibility across ChatGPT, Claude, DeepSeek and Perplexity

AI & Agents
n8n
Incrementors built this to test one site across ChatGPT, Claude, DeepSeek, and Perplexity in a single run, with the competitors named.
Source
n8n
Tools
OpenAI, Claude, DeepSeek, Perplexity
Runs
On demand
Cost
Free template, model credits
Last updated
August 7, 2026

What it is.

The template asks the same brand-neutral questions of ChatGPT, Claude, DeepSeek, and Perplexity, then reads each answer for whether the target site appears, in what position, and how strongly. Output is a 27-field scorecard.

Asking an assistant about your brand by name proves nothing, so the prompts ask the questions a buyer would ask instead.

It calls four separate model APIs, so a run costs credits on each one. You pay for that in credits and get a reading that doesn't lean on one vendor's view of your visibility.

What you get.

  • The same prompt set run against four AI platforms in one execution.
  • A 27-field scorecard covering position, presence strength, and the competitors named.
  • Competitor extraction, so you learn who the assistant recommended in your place.
  • Brand-neutral prompts, so the answers reflect a genuine buying question.
HOW TO USE IT

How to set it up.

1

Add API keys for OpenAI, Anthropic, DeepSeek, and Perplexity, since a missing one silently removes a platform from the comparison.

2

Replace the sample prompts with the questions your buyers ask, and keep them brand-neutral.

3

Set the target domain so the parsing step knows what it is looking for.

4

Run once and read all 27 fields before you automate it, because the scoring logic is worth understanding.

5

Point the output at Google Sheets so runs accumulate and you can see movement.

6

Lock the prompt set and rerun on the same schedule, because changing prompts resets your baseline.

Use cases

One prompt set, four platforms

Run the same questions across the assistants in a single execution.

Track position over time

Keep the scorecard so this month's presence can be read against last month's.

Report to a leadership team

Take the filled scorecard into the meeting instead of an anecdote.

Best for

A first AI visibility reading

Before buying a tracker, one run across four platforms tells you whether you have a problem.

Comparing platforms

Visibility differs by assistant, and a single-platform check hides that.

Agencies reporting to clients

A 27-field scorecard per client per month is a deliverable with no subscription behind it.

Open the original.

Hosted on n8n, free to open.
Open the Tool

Questions about Track AI search visibility across ChatGPT, Claude, DeepSeek and Perplexity

How many model accounts does it need?
Is one run enough to report on?
What are the 27 fields?

Questions about AI & Agents

What should you prompt an assistant with to test visibility?
How much do AI answers move between runs?
Strengths
  • Four platforms from one run, so you get a spread instead of one model's opinion.
  • Brand-neutral prompts, so a flattering result is harder to manufacture.
  • It names the competitors that appeared, so you know which page to write next.
Limitations
  • Four paid model APIs, so every run costs money on four accounts.
  • Assistant answers vary between runs, so treat one reading as a sample.
  • The 27 fields include derived scores whose logic sits inside the template, so read it before you report the numbers.
Skip this if
  • Skip it if you already pay for AI visibility tracking across the assistants.
Ideal for
  • SEO leads
  • Agencies
  • Stage: Any stage

Want this running without building it yourself?

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