Research · Public-page comparison Action

What to Verify Before You Buy AI Visibility Measurement — a Public-Page Comparison

A growing number of tools and agencies now offer to tell you how visible your brand is in AI search. Published prices run from $20 a month to fully undisclosed enterprise contracts. What varies even more than price is how much each vendor discloses about how the number was produced. This article does one thing: it lines up what each vendor states on its own public pages, on the same axes, and lists five questions to ask before you buy.

Methodology note. Every fact below comes exclusively from each vendor's own public pages (pricing, help centers, official docs), all accessed 2026-07-16; publication dates are noted where the page states one. Vendor names are shown as initials. This comparison was written by CiteAngle. We sell both measurement and implementation services — which is exactly why we attach a receipt to every measurement we sell. "Not stated" means we could not find the item on the public pages we checked; it is not a claim that the capability does not exist.

The comparison (public pages only, accessed 2026-07-16)

VendorPublished pricingEngines measuredCadence vs. same-prompt repeats & confidence intervalsRaw data accessMethodology & verification artifacts
Company SAI add-on $99/mo/domain (stated on an annual-billing basis), 25 prompts; bundles $117–455Inconsistent across its own docs (help center lists 4; pricing page differs)Daily/weekly refresh. No same-prompt repeats or CIs statedExport/API not stated (per help docs)Not stated
Company AFrom $199/mo; higher tiers $398/$699; check add-ons $50–2507 engines indexed (one marked paused, one custom-prompts-only)Chatbot data refreshed monthly (90-day window); some surfaces continuous. No repeats/CIs; self-described as "directional indicators"Not checked in our re-verification scopeNot checked
Company BFully undisclosed — contact-sales only; AI features bundled into all subscriptionsNo single official list — 3 to 5 engines depending on the document (union: 6)Collection cadence, sampling volume, repeats, CIs: none disclosedMetrics APIs only; no evidence of raw response logsA trademarked parser is named; how it works is not disclosed
Company CAmounts undisclosed — three tiers with published quantity gates (credits, keywords)9 AI surfaces with a published per-surface credit price tableDaily/weekly/monthly per topic. No same-prompt repeats or CIs statedResponse viewing, XLSX, API — bulk raw export not specifiedStates it uses "official APIs"; no white paper or audit
Company P$99 (1 engine) / $399 (3 engines) / custom enterprise11 engines on the features page vs. "up to 10" on enterprise — internally inconsistentDaily, officially. Its own blog (2026-07-08) publishes a repeat-sampling experiment with error math — but no always-on CI display in the product is statedNot checkedNot checked
Company O$29/$189/$489/custom (billed by prompt count)7 engines = 4 base + 3 paid add-onsOnce daily, automatic. No repeats or CIs statedFull responses + CSV/JSON + public APIPartial disclosure (measurement method stated for one engine); no standalone methodology page
Company EPro $800/mo (100k prompts analyzed); custom enterprise10 engines listed; tracks base-model APIs and consumer apps separatelyStates it samples each prompt 100 times per model, with a 30-day default refresh — but publishes no confidence-interval or margin-of-error figuresNo reporting API (on the roadmap, per its docs)Methodology described across scattered pages; no external audit stated
Company R$20–780/custom (credit-metered)10 engines officially listed (a "17+" claim is never fully enumerated)8 monitoring schedules mentioned. No repeats or CIs statedREST API from mid tier; raw response export unconfirmedNo methodology page (404)
CiteAngle (us)Fixed, published one-time diagnostic pricing — no retainer14 surfaces, including Korea-market AI surfaces absent from the eight vendors' rosters above (their public pages, accessed 2026-07-16)7 repeated runs per prompt-surface pair, with the measured Wilson 95% CI width printed in the reportAll 4,900 cells published with status: success, failure, or indeterminateSealed hash ledger plus a public /claims registry

These rows rearrange what each vendor states about itself; they are facts, not rankings. Three additional early-stage vendors were left out pending re-verification.

Five questions to ask before you buy

1. How many runs produced that number? AI answers vary run to run — the non-determinism is documented in academic work and acknowledged on at least one vendor's official blog. A single-run score is a point estimate. Ask for the repeat count and whether an error bound (a confidence interval) appears in the report itself. Across the pages we checked, vendors that state repeat sampling exist; a vendor that states it prints the measured CI width in the deliverable is what we could not find.

2. Do you get to see the failed measurements? A report that only shows successful cells hides the denominator. Ask whether every attempted cell is disclosed with its status — success, failure, indeterminate.

3. Is the measurement sealed? To check later that "this is what it said on that date," the deliverable needs to exist in a tamper-evident form: hash ledgers, a public claims registry. Note that integrity verification (hash comparison, deterministic) and statistical reproduction (overlapping CIs, which decays as time passes) are different layers — if a vendor promises "run it again, same number" indefinitely, ask on what basis.

4. Does it measure the surfaces your customers actually use? Check the official engine roster against your market. Rosters differ more than marketing pages suggest — several vendors' own documents disagree internally about which engines are included.

5. Have you converted the billing unit into a total cost? Prompts, credits, engine add-ons, seats — the metering units differ everywhere. Work out what "from $29/mo" becomes at your prompt volume and engine mix, and if pricing is fully undisclosed, ask why.

Where we stand, on the same axes

CiteAngle's diagnostic is a one-time, fixed-price product, not a retainer. It measures 14 surfaces, runs each prompt-surface pair 7 times, prints the measured Wilson 95% CI width in the report, publishes the status of all 4,900 cells including failures, and seals the results in a hash ledger backed by a public /claims registry. Repeat sampling itself is something other vendors state as well — Company E states 100 samples per prompt per model. What we offer is the combination: an auditable grid with sealed receipts, published CI widths, and a public claims registry, at a fixed published price. Everything we show as evidence is labeled for what it is: demonstrations we built ourselves.

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