Definition
Prompt trackingPrompt tracking is running a fixed set of buyer questions through AI engines like ChatGPT and Perplexity on a schedule, then recording which brands and sources appear in each answer and where they rank. Comparing the same prompts over time shows whether your AI visibility is rising or falling.
How Searchable measures this
Searchable runs each tracked prompt through the AI engines you choose on a schedule (daily on most plans), saves the full answer with its sources, and labels the prompt as branded or unbranded, so the two sets are reported apart instead of blending into one average.
How prompt tracking works
Prompt tracking takes the idea behind keyword rank tracking and applies it to AI answers. You pick the questions that matter, run them through each AI engine, and record what comes back. Then you repeat the same run on a schedule so the results can be compared over time.
A prompt tracking setup has four parts:
- A prompt set. The questions your buyers type into AI engines, such as "best CRM for small law firms" or "HubSpot vs Pipedrive for agencies."
- Engines. Every AI platform your buyers use. ChatGPT and Google AI Overviews source their answers differently, so each engine needs its own results.
- A schedule. The same prompts run daily or weekly, unchanged, so a change in the numbers reflects a change in the answers.
- Answer records. For every response, which brands were named and in what order, how they were described, and which pages were cited.
From those records you get the metrics that summarize AI visibility, including visibility score, share of voice, average position, and citation counts.
Why answers need repeated runs
AI engines don't give the same answer every time. Ask the same question twice and the list of recommended brands can change. A 2026 state of AI search report found that only 30% of brands stayed visible from one AI answer to the next, and just 20% stayed present across five consecutive runs.
So prompt tracking depends on repetition. One manual check is a snapshot that may not match your usual visibility, and running each prompt several times per check, then comparing checks across weeks, is what separates real movement from noise.
How to build a prompt set
Most of the value in prompt tracking comes from choosing the right prompts.
- Start from buyer questions. Sales calls and support tickets show how people describe the problem your product solves. Write prompts the way a buyer would type them.
- Group prompts by topic. Organize the set around product lines or use cases. Roughly 15 prompts per priority topic gives you enough variety in phrasing without padding the set.
- Keep branded and unbranded prompts separate. A prompt that names your brand will almost always return it. Across 3,736 brands tracked in Searchable (30 days to September 17, 2026), the median brand was named in 93% of answers to branded prompts and 7% of answers to unbranded ones. See branded vs unbranded prompts.
- Include comparison prompts. "X vs Y" and "alternatives to X" prompts show how engines position you against a specific competitor.
- Freeze the set between checks. Adding or removing prompts changes your numbers. If you do change the set, note the date so you don't mistake a change in measurement for a real shift.
Prompt tracking vs keyword rank tracking
| Keyword rank tracking | Prompt tracking | |
|---|---|---|
| Input | A short keyword | A full question or request |
| Output | A ranked list of links | A written answer that names brands and cites sources |
| What you record | Your URL's position | Brand mentions in order, plus the cited sources |
| Stability | Positions shift gradually | Answers can change from one run to the next |
| Sampling | One check a day is usually enough | Each check needs repeated runs |
You need both. A page can rank well in Google and still be missing from AI answers on the same topic, so one doesn't tell you much about the other.
What prompt tracking results tell you
After a few weeks of data, prompt tracking answers practical questions:
- Which topics AI engines associate with your brand, and which they hand to competitors
- Which competitors show up most often in the answers you're missing from
- Which pages engines cite when they answer your buyers, including third-party reviews and lists
- Whether a change to your site, or new coverage somewhere else, shifted how engines answer
Those findings point to concrete work, like getting onto a comparison page that engines cite often, or answering a buyer question your site doesn't cover yet.
How to run prompt tracking at scale
Tracking by hand works for a handful of prompts and breaks down quickly after that. At 30 prompts with three runs each on four engines, that's 360 answers to read and log every check. Searchable Prompts runs your prompt set across the major AI platforms, daily for most accounts, with prompts grouped by topic. Click any score to open the answer behind it, including where your brand ranks and which domains were cited. For a walkthrough on a single engine, see how to track ChatGPT mentions.
Frequently asked questions
Prompt tracking measures how AI engines answer the questions your buyers ask. Teams use it to see whether their brand is mentioned and which competitors appear instead, and to check whether that changes after they publish or update content.
See how AI engines talk about your brand
Get a free report on where ChatGPT, Perplexity, and Google AI name and cite you.