Free AI SEO calculator

Turn manual AI mention counts into a share of voice.

Enter how many prompts you tested and how often your brand and competitors were mentioned, then see your answer presence and share of voice as bar rows.

How to use this tool

  1. Ask the same buyer-intent prompt across ChatGPT, Claude, and Gemini a fixed number of times each, and tally who gets named.
  2. Enter the total number of prompts you tested and how many times your brand was mentioned.
  3. Add a row for each competitor with its name and mention count, up to 5 rows.
  4. Review your Answer Presence percentage and Share of Voice percentage in the results panel.
  5. Check the sorted bar rows to see how your mentions compare to each competitor.
  6. Repeat the same test periodically and compare snapshots to see how the numbers move.

Your manual test results

Ask the same buyer-intent prompt across ChatGPT, Claude, and Gemini a fixed number of times each (for example, 5 runs per model = 15 runs for one prompt), then tally who gets named in the answer. Repeat across a set of prompts and enter the totals below.

Competitors

Up to 5 competitor rows.

This is a manual snapshot from tests you run by hand, not a live tracked trend. Re-run it periodically to see how the numbers move.

Questions

Frequently asked questions

Useful context for applying this tool to your site.

What's the difference between Answer Presence and Share of Voice?

Answer Presence is your mentions divided by the total number of prompts you tested, so it measures how often you show up at all. Share of Voice is your mentions divided by the combined mentions of you and every competitor row, so it measures your slice of the mentions that did happen.

Is this a live, automated tracker?

No. It's a manual snapshot calculator: you gather the counts by hand and enter them, and nothing is fetched or sent to a server. Re-run the same prompt set periodically if you want a trend rather than a single reading.

How many times should I run each prompt per model?

There's no fixed rule, but a consistent number, such as 5 runs per model per prompt, makes counts comparable across models and across time. Keep the run count the same each time you repeat the test so your snapshots stay comparable.

Why cap competitor rows at 5?

Five rows keeps the bar comparison readable and matches how most people actually track a manageable competitive set by hand. If you track more competitors, run the calculation again with a different subset.