Name one client. We measure their Sigbase Retrieval Score — how AI recommends them today, out of 100 — branded under your agency, in your inbox within 24 hours. The proof it moved comes on the rescan.
We scan a domain you name — a live account, not a sample.
Branded as your agency, scored by Sigbase Retrieval Score (SRS). The exact thing your client would receive from you.
No card. No call. If there's no gap worth fixing, the report will say so — and you'll have lost nothing but two minutes.
AI already picks a winner in your client's market. Ask ChatGPT for the best provider in any city and it names one business — one — and everyone else simply isn't in the answer. The agency that puts that report in front of a client first owns the next conversation. For now, that agency can be yours.
The reveal sets the baseline — where AI recommends your client today. From there, Pandobix generates the fixes: schema, FAQ copy, GBP corrections, citation fixes, specified down to what to paste and where. Your team publishes them — the structural changes that should shift how AI answers when someone asks about a business like your client's. Then Sigbase.AI re-measures, same questions, same engines, same math, and reports exactly what moved.
Not a promise of the outcome. A measurement of it. That's the whole point: you show your client the work was done, and an independent standard shows whether the recommendation changed.
Nothing. You name a client, we measure it, you keep the branded report. We'd rather show you a real result than ask you to trust a claim.
Never. The report carries your agency's name; the fixes ship under your brand. One name stays fixed to the score — Sigbase Retrieval Score (SRS) — because a score is only worth showing a client if the agency didn't write it.
You publish; we generate. Schema, FAQ copy, GBP corrections, citation fixes — specified completely, ready to paste. No new hire, no rebuild, no learning curve.
Then Sigbase.AI reports that too — plainly. This is a measurement tool, not a guarantee: the fixes are the structural changes that should shift how AI recommends your client, and the rescan measures whether they did. The credibility comes from the fact that an independent standard reports the reading either way — the wins hold up precisely because the misses would show too.
Because the position compounds. AI names one business per market today, and the client who fixes their foundation first holds that spot longest. Wait a quarter and you're closing a gap a competitor already closed.