Your buyers
ask AI.
Someone gets
named.

Buyer ↔ Claudemeasured Sep 2026

Usually it isn’t you. Tallyvox reads your site and runs the real questions people ask when they’re looking for a company like yours — buyers, partners, investors, talent — through the AI engines, dozens of times each, because one answer is noise, and counts exactly who gets recommended. Then we go get you counted.

ChatGPTClaudePerplexityGeminiGoogle AI OverviewsGoogle AI ModeCounted, not claimed
The problem — scroll1 / 4

the problem · 1 of 4 — the moment

Your buyer just asked AI
who to hire.

Not a search — a question. And it isn't only buyers: prospects, partners, investors and future hires open the same way.

the problem · 2 of 4 — the shortlist

The answer had three names.

Pulled from the sources the engines already trust — and the same three names come back whether it's a buyer, a partner or an investor asking.

the problem · 3 of 4 — the miss

Yours wasn’t one of them.

Ask again tomorrow and the order shuffles — always among the same sourced names. Miss the sources and you miss every version of the answer, to everyone who asks.

the problem · 4 of 4 — the silence

And no dashboard
ever told you.

No click, no impression, no lost-deal report — just prospects, partners and investors quietly handed someone else's name. The only way to know is to ask the engines, many times, and count. That's what Tallyvox does.

Why the results differ

Everyone’s doing AEO.
Almost nobody’s moving the count.

The industry’s to-do list is mostly right. The execution mostly isn’t — and the hardest items rarely get attempted at all. Here’s the full ledger, and how we ship it:

the workwhat others usually shiphow we ship it
llms.txtgenerated once, dumped at the root, pointing at brochure pages, stale by next monthkept current, pointed at answer-shaped targets, re-checked with every scan — real crawl hygiene, honestly 30 minutes’ work done right
Structured data & entityFAQ schema sprayed on every page and billed as “the AI strategy”clean schema where it earns classic-search real estate, plus entity work — Wikidata, knowledge panel — so engines know exactly who you are
Contentkeyword-stuffed “AEO pages” written at crawlersanswer-shaped pages and original data an engine would actually want to quote
Review presenceusually skipped — or a generic plea for five-star Google reviewslisted and reviewed on the review sites the engines in your market actually cite — the scan surfaces which ones
Community seedingskipped, or astroturfed accounts that get deleted and damage the namean authentic presence in the Reddit, Quora and forum threads your buyers already read
Prompt researchnot offered — the prompts get guessed, so everything else aims at the wrong questionsa model reads your site and builds the real questions your buyers and other stakeholders ask AI — then we aim every other fix at the ones that actually trigger answers
The source workskipped — it’s the hard part — or bought as spray-and-pray linksflagship citation outreach: earned mentions on the editorial sites, communities and directories the engines in YOUR market already cite
Proofone lucky screenshot, or a score no one can auditsame prompts, many runs, stored answers, confidence intervals — every month ends on the same yardstick, so the work has to show up in the numbers

Why the source work leads: across 75,000 brands, branded web mentions are the strongest correlate of AI visibility
(Ahrefs, ρ=0.664 — correlational, and we say so). The count is how you see it working on YOUR market.

door one — measurement

Just count it.

You run your own playbook — you need the honest scoreboard: who the engines name, how often, receipts stored, confidence intervals on every number. Take the count and run.

door two — measurement + delivery

Count it. Fix it.

Same count, plus the seven fixes worked for you — flagship citation outreach first, because that’s where the evidence points. Every month ends with the same yardstick, so you see exactly what the work did.

The receipts

Anyone showing you one screenshot is showing you noise.

Ask an AI engine the same question a hundred times and you’ll get the same list back fewer than once — measured across 2,961 collected responses, not rhetorical. So we run every prompt repeatedly, store every raw answer verbatim, and report frequencies with confidence intervals. Flip through what stored answers look like.

receipt 1 of 5

Why keep receipts?

Because this industry sells screenshots. We store the raw response for every run of every prompt on every engine — so when your report says “you appear in 12% of answers,” you can open the 12% and read them. And the 88%.

Numbers you can audit are numbers you can act on.

run 1 · mentioned ✓run 2 · absentrun 3 · absentrun 4 · mentioned ✓run 5 · absent
New · the AI-visibility leaderboard

See who the AI engines name in your category.

Every month we ask ChatGPT, Claude, Perplexity & Gemini the questions your buyers ask — and count who gets named. Counted, not claimed. Is it you?

How it works

Three moves. Repeated monthly.

01

Measure — properly.

We read your site and build ~40 of the real questions people ask AI when they’re looking for a company like yours — the way buyers, partners, investors and job-seekers actually phrase it — then run each one again and again across six AI engines, because a single answer is noise. Every raw response is stored. You get a visibility score with a confidence interval, not a screenshot.

chatgpt · claude · perplexity · gemini · google ai overviews · google ai mode / every answer kept

02

Find the gaps.

AI answers are assembled from sources — review sites, comparison lists, directories, communities. The scan produces the exact list of domains the engines cite in your market, ranked by how often, marked where you’re missing. That list is the roadmap.

source-gap analysis / the headline deliverable

03

Close them. Count again.

Listings claimed, real reviews generated, editors pitched, answer-shaped pages published — then the identical prompt set is re-measured monthly. Movement (or its absence) is visible, attributable, honest. Progress you can count, month over month.

re-measured with the same yardstick / wins verified in scan data

What you get

Every item. Counted. Obviously.

A measurement company should be able to itemise its own deliverable. So here’s the manifest for the full audit — exactly what lands in your inbox, about a week after kickoff.

The free snapshot ships items 1, 2 (top three only) and 5 at teaser depth — enough to know whether the problem is real. The retainer re-ships this manifest monthly, plus the work that changes it. See a sample report (PDF, illustrative data) →

tallyvox · packing slip8 / 8 packeddoc № TVX-AUDIT
The Full Audit — $900
delivered as a 25+ page PDF · built from stored raw answers
1×Visibility score, with 95% confidence intervalplus citation rate — how often your own site gets linked✓
~40×Stakeholder prompts measured, each run repeatedlybuyers · partners · investors · talent · win / lose / contested per prompt✓
6×Engines, reported separatelyChatGPT · Claude · Perplexity · Gemini · Google AI Overviews · Google AI Mode✓
allCompetitors' share of voiceoverall and per engine — who owns which surface✓
1×Complete cited-source map, rankedevery domain the engines cited · marked where you're absent✓
1×90-day plan, effort/impact scoredeach action carries its evidence line from the scan✓
∞The receiptsevery raw answer stored verbatim — audit any number on request✓
0×Empty promises, invented statistics, box-ticking schemanot stocked; never will be—
contents verified against scan dataNo padding

figures shown on this website are illustrative; your documents use your market’s stored answers

Pricing — on the page, like adults

Three ways in. No “contact us.”

Hiding prices behind a form costs everyone a week of email. Here they are. All measurement, no lock-in — the retainer is month-to-month after an initial three.

Paused
$0

The Snapshot — find out if you have a problem, free, no call required.

  • ~18 stakeholder prompts × 3 runs, four engines
  • headline visibility score ± CI
  • competitor comparison
  • your 5 worst losing prompts
  • top 3 source gaps
  • 6-page PDF, human-reviewed
Join the waitlist →

Free scans are paused. We reopen them in batches.

Have it handled
$1,000–$4,000 /mo

The Retainer — we work the gaps and re-measure monthly with the identical yardstick.

Monitor4 scans/mo + delta + 3 pursuits$1,000
Build4 scans/mo + citation outreach + content$2,500
Dominate6 scans/mo + editorial PR + watch$4,000
  • all 7 fixes bundled, flagship citation outreach first
  • month by month, on your say-so — never an auto-subscription
  • wins verified in scan data, not claimed
  • flat months reported as flat

The audit credits 50% toward month one of any retainer started within 30 days.

Flat pricing, honest scoreboard. You pay for the work and the count — and the count shows you exactly what the work did.

MSP math: one retained client is typically worth $1,200–1,500/mo to you. The count paying for itself requires one.

Take this shopping

Questions for any AEO vendor. Including us.

Plenty of vendors would rather you didn’t ask these, so here’s the checklist we’d use to buy what we sell. Ask these of everyone — click each for our answer, on the record.

Yes — repeatedly, across six engines, reported as frequencies with 95% confidence intervals. A vendor showing one screenshot is showing you a coin flip.

tallyvox: pass

Yes — every run stored verbatim. Pick any percentage in the report and we’ll open the answers it came from.

tallyvox: pass

We promise the lever with the strongest evidence behind it — presence in the sources engines actually cite, worked every month — and a recount on the same yardstick that shows exactly what it moved. A number you can audit beats a number you were promised.

tallyvox: pass — receipts, not hype

Not the whole job — ever. We do both as part of crawl hygiene, done right: llms.txt kept current and aimed at answer-shaped pages, schema kept clean where it earns classic-search real estate. But the lever that correlates with inclusion is presence in the sources engines actually cite — that’s the flagship work, and the count proves whether any of it moved.

tallyvox: pass — hygiene plus the flagship

Yes — it’s the audit’s headline section: every cited domain, ranked by frequency, marked where you’re absent, with a route in for each.

tallyvox: pass

Yes — with the confidence intervals that prove it. Wins only count when a scan sees them; retainers go month-to-month after the first three so honesty stays cheap for you and expensive for us.

tallyvox: pass

checked 0 of 6 — click through them all — every answer is on the record

About Tallyvox

A measurement practice, not a marketing shop.

Tallyvox started with an engine: it reads a company’s site, builds the real questions people ask AI when they’re looking for a firm like it, asks the engines over and over, and turns the noise into honest frequencies — reports where every number traces to a stored answer.The service grew around that engine — finding the sources AI trusts in each market, and doing the placement work that gets clients counted.

As the team grows, one thing doesn’t change: everything stays auditable. Whoever researched your market, pitched your listings, or pressed the scan button — the receipts are the same, and they’re yours to inspect.

built in-house · every answer stored · counted monthly · meet the team →

See the whole site in your colour.

Every accent on this page is a choice. Pick the one that moves you — the whole site puts it on, just for you, just on this device.

Choose your colour →

referral program

Know someone who should be counted?

Send businesses our way and earn 5% to 40% of everything they pay — audits and retainers alike. Your link credits you for 90 days from the first click.

Become a referral partner →

Rather talk it through first?

25 minutes with a human who’ll show you real scans — no deck, no pressure. If the count says you’re fine, we’ll tell you that too.

Book a call →

Start the count.

request slip
№ TVX-______
your slip total
once-off scan $900
$900

a human reviews every request and every report before it sends — this queues your scan, it doesn’t fire a robot at your inbox · no newsletter unless you ask · protected by reCAPTCHA

You’ll get a confirmation now and the report within 24 hours.