Not sure which package? Get your tailored plan — a 60-second fit-finder, no signup.
Pricing · fixed · no calls
Simple pricing, in the order you'll actually use it
Start free, diagnose with an audit, then grow with a retainer — and add à-la-carte pieces only if you need them. Every price is fixed and public; the detail lives on focused pages below.
Every plan is AI Search Optimization (AEO/GEO), measured across the 5 AI engines — ChatGPT, Perplexity, Claude, Gemini, and Grok — plus Google's AI surfaces (AI Overviews & AI Mode), measured separately.
Before you pick a plan: this is the kind of measured result you're buying — who AI recommends in a live category by share-of-model across all five engines, published with its method and date.
| # | Product | Share of model | Share | 95% CI |
|---|---|---|---|---|
| 1 | GitHub Actions | 21.8% | 20.1–23.7 | |
| 2 | GitLab CI/CD | 19.6% | 18.0–21.4 | |
| 3 | CircleCI | 19.1% | 17.5–20.9 | |
| 4 | Jenkins | 16.6% | 15.1–18.3 | |
| 5 | Argo CD | 6.4% | 5.4–7.5 | |
| 6 | Buildkite | 5.6% | 4.7–6.7 |
- Engines
- 5 of 5
- Prompts
- 10
- Answers
- 500
- Runs/engine
- 10
- Interval
- Wilson score interval, 95% (z=1.96)
Every plan is measured this way for your category. Google's AI surfaces measured separately · 95% CI. Point-in-time; engines change. · Methodology →
The path
- 1 · Free teardown. See where AI recommends your competitors and not you — a 2-minute video + 1-pager, three fixes you keep. Start here →
- 2 · Audit. The measured baseline: AI share-of-model + the full SEO foundation + a 30/60/90 roadmap. See audits →
- 3 · Retainer. We run the engine for you each month and report against your share-of-model. See retainers →
Not sure where you fit? The 60-second fit-finder maps your stage, goal and budget to a recommendation — and the same logic powers our advice however you reach us.
Your time required: almost none. You approve early drafts; once we’ve earned a track record on a content type, sign-off becomes yours by default — so it publishes sooner without waiting on you. How we work →
Delivery speed. We begin within 1 business day of onboarding + payment. Teardown within 2 business days of submission; Full Audit within ~5 business days of inputs + deposit; each content piece ~3 business days from approval. All delivery timelines → · Full delivery terms →
Want it all in one place? Download services & pricing (PDF) · view online — every service, price, timeline and platform in one doc. Just need the highlights? One-page pricing summary (PDF).
Why it works — the five levers
What you're actually paying for, and the honest limit on each. These are the levers every plan pulls — the audit measures them, the retainer moves them.
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.
Pick the page that matches what you need
Audits →
One-time, fixed-price. Starter $500 · Full $2,500 · Comprehensive $4,500. The Full Audit is the baseline a retainer builds on.
Retainers →
Done-for-you, monthly. Growth $2,950 · Scale $6,500 · Authority $12,000. Full stack, you-approved.
Custom / Multi-Brand →
Multiple brands or product lines under one buyer? Talk to us — one engagement across your portfolio, with a bespoke reporting cadence, executive readouts and curated add-on bundling. Contact-only: scoped and quoted to fit, no set price.
Add-ons →
À-la-carte content, video, directory authority and digital PR — layer onto any plan, or buy one capability standalone.
Bundles & prepay →
The Launch Bundle (Full Audit + 3 months Growth) and prepay discounts — plus a custom-package inquiry path.
Founding offer →
A free Full Audit for a selected cohort of qualified DevOps / observability / API-infra clients, in exchange for a case study.
Measured →
Self-serve: automated monthly measurement of your brand in your category — $750/mo, cancel anytime. The measurement layer.
Free AI Visibility Tracker →
The free rung below Measured: monthly share-of-model tracking on a smaller, honest scope — 25 limited slots, by application (CA/US). Watch your gap before you spend anything.
Free tools →
Teardown, scorecard, ROI calculator, AEO checklist, schema & llms.txt generators — no signup.
Self-serve · $750/mo · cancel anytime
Measured — the measurement, self-serve
Automated monthly measurement of your brand's share-of-model in your category, on the same reproducible stack our audits and Index use — a monthly report + win/drop alerts, with confidence intervals (figures shown only once measured). No calls, no retainer.
This is the measurement layer on its own. The strategy and execution — the fixes, the content, the off-site authority — are what a retainer adds. Many teams start here to watch the gap, then bring us in to close it. Never a ranking or citation guarantee.
Free · by application · 25 limited slots (CA/US)
The free rung below Measured — the AI Visibility Tracker
Watch your AI-search visibility over time before committing to anything paid: monthly share-of-model tracking with a 95% confidence interval + win/drop alerts, on a smaller, honest scope (1 domain · 3 buyer prompts · 2 engines). Figures show only once a real measured cycle has run. A slot is free for up to 12 months, then converts to Measured or retires with notice — never held indefinitely.
Common questions
Where do I start?
Do you require a sales call or contract?
How much does it cost to get started?
Is the audit fee credited if I continue?
Can't I just do this myself?
How does the price compare to hiring or to a DIY tool?
What happens right after I buy?
Do I keep my data and access if I cancel?
Start with the free teardown
It's the no-cost way to see your gap before you spend anything — and it doubles as the check on everything above.
Get your free teardownMost AEO optimizes only the slice of citations you own. Here's the whole map — all four tiers AI cites from, and how much of it we actually work.
Clear Cited works all four tiers
Coverage 100% · Control ~86% · Influence ~94% · Earned (best-effort)
Most AEO optimizes the ~44% you own. Clear Cited works all four tiers.
Control ~86% · influence ~94% · the last ~6% earned — worked, not guaranteed.
Source: Yext (6.8M citations), 2025-10 — a third-party citation-tier mix, not measured by our AI Visibility Index (which tracks share-of-model); illustrative of the tier split until we publish our own measured citation-source mix
Coverage is the scope of what we work — never a control or ranking guarantee. · See the full Citation Control Map →
See exactly what you're buying
Before you pick a plan, see a real deliverable and compare every tier.
A real teardown (PDF) · Compare every tier side-by-side (.xlsx)
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.