Which agencies document work across AI answer engines?
Our Go Fish Digital comparison record documents a named GEO service and an Engines Yes, with 3/8 Yes cells in the saved page we read on 29 October 2026. Its engine list, rechecked on 28 October, names Google AI Overviews, Google AI Mode, ChatGPT and Bing Copilot. That makes it a documented example to inspect, rather than proof of successful work on every AI engine.
What we measured
Measured. We counted the published record against the comparison's scorecard. Yes alone counts; Partial and No do not become Yes. The full list is alphabetical, not a ranking. Broadcastwell publishes the comparison and remains outside the scorecard, unscored.
| Agency | Method | Open data | Engines | Price | Refund | B2B cases | Reviews | Machine readable | Yes count |
|---|---|---|---|---|---|---|---|---|---|
| Go Fish Digital | Partial | No | Yes | No | No | Yes | Yes | No | 3/8 |
Reported. Initial company-site evidence was read on 15 September 2026. The reviews read was on 16 September 2026. Prices, refund terms and engine lists were rechecked on 28 October 2026. The 29 October 2026 source snapshot preserves those field dates; it does not refresh every other cell.
This is a read of publication evidence, without a new provider test or proof of client results.
What this means for you
Reasoned. Start with the named surfaces. Google AI Mode and Google AI Overviews are separate entries in this record. If your brief requires both, preserve both names in the proposed scope rather than accepting Google as a sufficient engine label. Claude and Perplexity should remain questions for the provider; this particular saved list cannot supply them by implication.
The Method cell is Partial despite the Engines Yes. A list of platforms answers where an agency says it works, while the method criterion asks what a reader can check about the measurement. Ask for the method document that would govern your specific question set and retained answers.
The Open data No matters for a handover. It describes the absence of qualifying published data in this comparison, not a finding that the agency has no internal data. If you need the raw observations as a deliverable, put that requirement in the scope instead of assuming it follows from a case-study link.
Read the case evidence separately. The B2B cases Yes means published case material met that criterion; it is not an independent reproduction of the client's result.
For a buyer looking at the commercial fields, Price and Refund are both No in this dated record. Those cells provide no published service price or qualifying refund term to carry into your budget. Keep the exact engine coverage alongside the unanswered commercial questions when comparing a proposal.
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Which agencies document work across AI answer engines?
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Next step
Use Free 10-question check (one engine) to inspect a defined set of buyer questions. No email is needed; runs are limited per network and per day, and by the site's daily allowance.
For one documented gap, Fix one answer, $490. Keep the question and source receipt with the requested change.
Our published agency-audit criteria.
Prepared by the Broadcastwell team.
Page owner: Priya Nair, Management Consultant. Corrections: hello@broadcastwell.com