AEO visibility for Qtac: whether the AI answer engines name it when a buyer asks, counted rather than estimated.
2.3% of the 88 answers in UK bureau payroll platforms named it, measured 11 Aug 2026.
That first line is decided by one comparison and nothing else: the answers that named it, against the answers that did not — whichever count is larger is what it says, and equal counts get both. It is the same comparison on every page here, made from figures the board below has already published and no others. The rule, and the one line of shell that reruns it →
Nothing here is a score we assigned. Every number below is a count of answers, and every answer is published word for word on the category page it came from.
Qtac is absent from 86 of the 88 answers on this page, and this page does not say who was named in them. Ask and I read those 86 answers myself and send you the products that were named instead. No card, nothing is charged and nothing starts.
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| Category | Rank | Answers | Share | Questions |
|---|---|---|---|---|
| UK bureau payroll platforms
Gemini 1 of 44, Perplexity 1 of 44 · measured 11 Aug 2026 |
26 of 59 | 2 of 88 | 2.3% | 2 of 44 |
“Answers” is how many of that category’s answers named this product. “Questions” is how many of its distinct buying questions named it at least once. Each category is asked twice from scratch and is only published if the top ten reproduces.
The 44 buying questions on the UK bureau payroll platforms board split in two by one mechanical rule, applied the same way on every board and using nothing at all about any product: 6 of them are asked in the first person — the buyer describes their own company and asks what to buy, so the question opens with “We”, “I”, “Our” or “My”. The other 38 ask about the category or a feature. The rule, and the one line of shell that reruns it →
| Question kind | Questions | Answers | Named Qtac |
|---|---|---|---|
| The buyer describes their own company | 6 | 12 | 0 (0.0%) |
| Category and feature questions | 38 | 76 | 2 (2.6%) |
Both rows are counted at build time from mentions-runA.jsonl, the same file linked at the bottom of the board, and they add back to the 2 of 88 answers in the table above.
A difference is only pointed out here when one family's rate is at most 0.5 of the other’s and the smaller family was large enough to have named the product 5 times at its own overall rate. Qtac does not meet that on this board, so the two figures are printed and nothing is read into the difference between them.
The page above is free and always will be. Two things are not. What is in each →
One email the day this board is re-measured: Qtac's new rank, its new count, who took the answers it was absent from, and what changed.
Start monitoringOne document on Qtac's row, read out of the published run of 11 Aug 2026 that every number above is counted from: when the engines did not name it, who they named instead, and where that came from.
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Vendors search for this as answer engine optimization (AEO), or generative engine optimization (GEO). Both names mean the same thing: being named when a buyer asks an AI instead of typing into a search engine. This page is the measurement, not the work — we count who the engines named across UK bureau payroll platforms and publish every answer the count came from, so Qtac's number can be checked rather than taken on trust.
Source: the UK bureau payroll platforms board and the raw files linked at the bottom of it — every answer, the product names extracted from each answer, and the machine-readable ranking these numbers are read from.