MODERACT · CHICAGO
Who gets named when buyers ask AI?
Moderact is a Chicago agency that counts how often AI assistants name a business — the same buyer questions, run many times across days — and fixes what the count shows.
Across 460 AI answers about Chicago agencies, 2026-09-09 to 2026-09-13, 254 different businesses were named, 4 to 5 per answer. The count tells you whether yours is one of them.
$750 audit, $500 a month to keep watching.
01 — 03
How it works
You tell me the questions your buyers ask.
Five to twenty of them, with your city in the question. They go in writing before anything runs.
I run each question many times, across days.
On Gemini, Google AI Mode and Claude, every day for five days. ChatGPT I run by hand in the app, the way a buyer would. One answer is a screenshot. A count across runs is a measurement.
You get the receipt, then the fix list.
Who gets named instead of you, the pages the engines cite, and what to change on and off your site, in order. Then I count again.
Email Marcell →A sample receipt
What the count looks like.
| Engine | Answers | Different businesses named | Names per answer, median |
|---|---|---|---|
| Gemini, grounded | 150 | 109 | 5 |
| Google AI Mode | 150 | 106 | 4 |
| Claude, web search | 150 | 120 | 5 |
| ChatGPT app, run by hand | 10 | 21 | 4.5 |
5 city-named questions about AI visibility agencies in Chicago, over 5 days, 2026-09-09 to 2026-09-13. Gemini, AI Mode and Claude answers are collected automatically; ChatGPT answers were run by hand in the app. Every row can be re-derived from the run log I keep.
Your receipt is the same table with your name in it: named or not, per engine, per question, with the sources each engine cited.
The next receipt shows whether it worked. That is the product: the count, then the change, then the count again.
Not for sale here
What I don't sell.
Schema markup. In a matched test of 1,885 pages that added it, AI Mode and ChatGPT citations showed no significant lift, and Google AI Overviews citations dropped significantly (Ahrefs, 2026).
llms.txt files. In a log study of 137,210 domains, 97% of those files got zero requests (Ahrefs, 2026).
Rankings. I report how often you are named across many runs, never a position taken from one answer.
Promises about outcomes. I report counts; the fix list is my best judgment, and the next receipt is the check.
Pricing
$750 audit. $500 a month to keep watching.
The audit: the receipt, the fix list, and a 45-minute walkthrough. $750.
Monitoring: the same questions re-run every month, a ledger of what changed, and the next fix. $500 a month.
- 01The audit is paid when the report lands, not before.
- 02Monitoring is month to month. Stop whenever.
- 03Every number in the report can be re-derived from the run log I keep.
Also from Moderact
B2B sales meetings.
For B2B software teams: buyers showing a live buy signal this week, booked on your calendar.
Paid per held meeting, after it happens.
Who
A small Chicago team.
Led by me, Marcell Jackson.
I run the counts, write the fix list, and answer every email.
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