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Audits · one-time · fixed price

One audit, the measured baseline a retainer builds on

Every paid audit is full-stack: AI share-of-model across the 5 AI engines — ChatGPT, Perplexity, Claude, Gemini, and Grok — plus Google's AI surfaces (AI Overviews & AI Mode), measured separately, on the SEO foundation (technical, SERP/keyword, on-page, entity, content, backlink/domain) — ending in a prioritized 30/60/90 roadmap.

Buy the Full Audit ($2,500) Compare the audits ↓

Your audit fee is credited. Start a Growth, Scale or Authority retainer within 30 days of your audit and we credit the full audit fee to your first retainer invoice. See retainers →

Compare the audits

FeatureFree Teardown FreeStarter $500Recommended Full $2,500Comprehensive $4,500
Measurement
Buyer prompts tested
iMeasures the whole stack: 20-30 prompts across every AI engine we track for share-of-model, plus technical SEO, SERP/keyword landscape, on-page, entity, content, and backlink/domain analysis (DataForSEO), plus a citation-source map.
5–81020–3020–30
AI engines measured
iReproducible share-of-model measurement (adaptive per-engine sampling — at least 10 runs/engine, never below a 5-run floor — with metric-matched 95% CIs: presence → Wilson, share → bootstrap) plus SEO baselines and ongoing tracking. The proof layer.
22–34–54–5
Share-of-model
iReproducible share-of-model measurement (adaptive per-engine sampling — at least 10 runs/engine, never below a 5-run floor — with metric-matched 95% CIs: presence → Wilson, share → bootstrap) plus SEO baselines and ongoing tracking. The proof layer.
snapshot✓✓✓
Google AI surfaces (measured separately)
iWe report Google AI Overviews as its own surface, never blended into a cross-engine score — it only fires on some searches, and a click lands in your analytics as ordinary organic traffic, so we treat measured AI referral as a floor, not a ceiling.
——✓✓
Competitor benchmark——✓✓
SEO foundation
SEO checks
iTechnical checks: crawlability and indexation, Core Web Vitals, site architecture, schema validity, AI-bot access, and broken links / redirects. On-page checks: titles, meta, headings, answer-first structure, internal linking, and entity / schema markup on your key pages. The full SEO foundation: the technical + on-page checks plus the SERP / keyword landscape, entity and content-gap analysis, and a backlink / domain profile against named competitors.
AI snapshottechnical + on-pagefull foundationfull foundation
Backlink / domain analysis
iYour link/domain-authority profile vs named competitors + a winnable-link target list.
——✓✓
Content & production
Page rewrites
iAdds production + authority planning to the Full baseline: top-5 content rewrites, ready-to-ship schema specs, a Reddit/G2/listicle/PR placement plan, and a named AI Index & Entity Setup (llms.txt, IndexNow/sitemap ping, AI-crawler access, Google Search Console + Bing, and drafted entity-platform listings — set up for you and receipted).
———top-5
Ready-to-ship schema specs———✓
Off-site authority
Off-site placement plan———✓
Directory listings
iLayer 1: entity consistency across 30+ directories (identical NAP + sameAs) for discovery, brand-SERP coverage and referral — never as a ranking or AI-citation promise (no evidence links directories to AI citation). Layer 2: agency-side registries, claimed review profiles, your Index entry, a drift re-check, and the before/after. Directories are a one-time submission, not an ongoing service: every retainer includes a one-time core submission at onboarding, and the paid tiers (Boost 30+, Growth 60+, Authority 100+) are a bigger one-time push on top.
———boost (30+)
Reporting & roadmap
Prioritized roadmap
ia prioritized plan in three phases: Days 1-30 fix the highest-impact technical and answer-first issues on your measured baseline; Days 31-60 produce content and on-page work for the buyer prompts you're losing; Days 61-90 build off-site authority (citations, directories, PR) and re-measure your share-of-model. We commit to the plan, never to specific rankings or citations.
3 fixestop-10 fixes30/60/9030/60/90
Logistics
Delivery
iWe begin within 1 business day of onboarding + payment.
within 2 business dayswithin ~3 business dayswithin ~5 business dayswithin 5-7 business days
Audit fee credited
iStart a Growth, Scale or Authority retainer within 30 days of your audit and we credit the full audit fee to your first retainer invoice.
—creditedcreditedcredited
Get startedGet a free teardownBuy StarterBuy FullBuy Comprehensive

New here? The free teardown is the no-cost way to see your gap first; the Full Audit is the baseline most clients start with before a retainer. Want to see what each tier delivers? See example audits (PDF) → or our work. All delivery timelines →

Why a baseline first

Visibility is a measurement problem before it's a content problem. The audit fixes a number — your share-of-model per engine, against named competitors — so every later change is judged against it. It's also why ~90% of AI Overviews cite a page that also ranks in the top-10 organically (seoClarity, 362k queries): the SEO base and the AI answer are the same fight, and the audit measures both. Yet most AI Overview citations now come from beyond the top-10 (see the numbers below), so citations are winnable without a #1 ranking — which is exactly why you need both the SEO foundation and the AI-answer layer.

Research evidence

We publish what we measured about whether each tier works, including when it didn't — see the full research programme.

Evidence for Starter Audit. Not yet measured — no study currently evidences this SKU. See the research programme →
Evidence for Full Audit. What we measured about whether this works, including when it didn't.
StudyStatusFinding
Cross-Engine Disagreement Indexproposednot yet measured — proposed (pre-registration pending)
Citation-source composition BY VERTICALproposednot yet measured — proposed (pre-registration pending)
Evidence for Comprehensive Audit. Not yet measured — no study currently evidences this SKU. See the research programme →

Common questions

Which audit should I start with?
Most serious buyers start with the Full Audit ($2,500) — it's the measured baseline a retainer builds on. The Starter Audit ($500) is a lighter read; the Comprehensive ($4,500) adds done-for-you page rewrites and an off-site plan. Not sure? The fit-finder recommends one.
Is the audit fee really credited if I continue?
Yes — Start a Growth, Scale or Authority retainer within 30 days of your audit and we credit the full audit fee to your first retainer invoice.
Do I need a call to buy?
No. Every audit is fixed-price and you can buy it directly — no sales call required. We reply by email with scheduling once you're in.
How is this different from a normal SEO audit?
We measure your share-of-model — how often the AI engines your buyers use actually recommend you, against named competitors — alongside the full SEO foundation, and hand you a 30/60/90 roadmap.

Most clients start with the Full Audit

The measured baseline + 30/60/90 roadmap — and the fee is credited if you continue on a retainer within 30 days.

Buy the Full Audit ($2,500)

Prefer to see your gap first? Start with a free teardown →

What an audit looks like

A short walkthrough of a real audit deliverable.

The audit walkthrough — what you receive and how to read it. (1:12) · captioned film — no audio by design · illustrative data, labelled in-film

Why Clear Cited

The five levers behind share of model

We get you recommended across the 5 AI engines — ChatGPT, Perplexity, Claude, Gemini, and Grok — plus Google's AI surfaces (AI Overviews & AI Mode), measured separately — and here is the honest system beneath it: what you are actually paying for, and the real limit on each.

Every engine and surface your buyers actually use

the AI engines your buyers use, plus Google's AI surfaces and Bing's Copilot answers — each measured separately, never summed into one score

The roster is five AI engines plus two answer surfaces — AI Overviews and Microsoft Copilot — reported separately and never summed into an engine count. The five engines are measured today. Both surfaces are positioned, not measured: an engine is one foundation-model family we query directly, a surface is a product that renders an answer, and a surface never becomes an engine by being added up. Outside the labelled separate-surface panel we name the Google surface plainly as AI Overviews, because naming it beside the engines would read as an engine claim.

A method you can reproduce

pre-registered prompt sets with published hashes, run counts and a confidence interval on every figure, and null results published on the same terms as positive ones - as standing practice, not a one-off study

Confidence intervals are reported honestly wide and named per product: presence uses a Wilson interval in both products; share-of-model uses a percentile bootstrap in the paid audit and a Wilson interval in the public Index, whose pooled denominator is clustered - so those Index intervals are narrower than a cluster-corrected estimate would give, and we say so. We never narrow a CI to look more certain than the data is.

All four tiers AI cites from

we work all four tiers AI cites from — not just the fraction of your presence you directly own

This is SCOPE — the tiers we work, not an outcome we promise. The per-tier percentages are illustrative (Yext-sourced) and the earned tier (news & forums) is best-effort, never guaranteed.

Almost none of your time

your time required is almost none — sign-off graduates to become yours by default once we've earned a track record, with continued sampling

A human approves every client deliverable until a clean track record is earned; graduation is opt-in, default-off, and reversible — client-facing and published content never reaches unattended auto (AI speed, human-approved).

A system that compounds

the system learns which of your pages get cited and compounds that signal every cycle

Honest-empty until measured — attribution shows the real citations a piece earns, with the engine, prompt and date, only once they are actually earned; no projected compounding curve.

The system compounds — see how it learns which of your pages get cited → · the four tiers of citations we work →

The transparency wedge

A method you can reproduce

pre-registered prompt sets with published hashes, run counts and a confidence interval on every figure, and null results published on the same terms as positive ones - as standing practice, not a one-off study

at least 10 runs per engine (12 by default), spent adaptively — more on high-variance engines, fewer on stable ones, never below a 5-run floor Every presence figure carries a Wilson 95% confidence interval. Share of model carries a percentile bootstrap 95% confidence interval in the paid audit, and a Wilson 95% confidence interval in the public AI Visibility Index — the method matched to the metric and named per product, both computed from the actual runs.

Confidence intervals are reported honestly wide and named per product: presence uses a Wilson interval in both products; share-of-model uses a percentile bootstrap in the paid audit and a Wilson interval in the public Index, whose pooled denominator is clustered - so those Index intervals are narrower than a cluster-corrected estimate would give, and we say so. We never narrow a CI to look more certain than the data is.

We publish our run counts, our uncertainty and our pre-registered prompt sets. Across the 8 providers we checked on 2026-08-02: run counts 4 of 8 verified; 4 not verified; uncertainty on published figures 2 of 8 verified; 6 not verified; the prompt set published with the results 0 of 8 verified; 8 not verified. The full comparison, with each vendor’s own wording →

That is the wedge: a number you can re-run and get back. See the full method →

Hold us to it, and hold the others to it too — the 12 questions to ask anyone selling AI visibility, each one answered here with a link.