Find out if AI search recommends your SaaS — or your competitors.
We test buyer-intent prompts across ChatGPT, Google AI Mode, Perplexity, Gemini and Claude, map where competitors appear in answers, and show exactly which pages, sources and content to fix.
- ChatGPT
- Google AI Mode
- Perplexity
- Gemini
- Claude
Evidence-first. Start with a $99 Snapshot. No ranking guarantees, no hidden tricks, no unlimited scope.
Your buyers are asking AI before they visit your site.
If AI doesn't know how to recommend you, the deal starts without you.
[1–3] Aggregated industry research, 2025–2026. Full sources in the methodology.
Six questions the audit answers — with evidence attached.
- 01
When buyers ask AI for tools in your category, does your brand even appear?
Mention share, recommendation share, and omission rate across a small set of buyer-intent prompts.
- 02
Which competitors are recommended in your place — and why?
A competitor visibility matrix showing where each rival wins citations and recommendations.
- 03
What does AI actually say about you?
Captured answers, screenshots, and timestamped evidence — including any misrepresentation or stale claims.
- 04
Which third-party sources are AI engines citing?
A source map: review sites, listicles, docs, comparison pages — and the gaps your competitors fill that you don't.
- 05
Why are your own pages not being cited?
Answerability, crawlability, schema, and citation-readiness review for your highest-intent pages.
- 06
What's the prioritized fix list?
A roadmap of pages, sources, and content moves — sequenced by impact and effort, ready to hand to your team.
A concise diagnostic, not a slide deck.
Every claim is backed by a captured AI answer, an engine, a date, and a source link. No vibes, no extrapolation.
See a full sample reportA repeatable, evidence-first methodology.
Manual where it matters, automated where it scales. Every audit follows the same six steps so findings are comparable across categories and time.
- 1Define buyer-intent prompts10–15 prompts for a Snapshot, or 25–50 prompts for Monitoring, mapped to persona, funnel stage, and category — not vanity queries.
- 2Select competitors & surfaces3–5 named competitors across 3–5 AI / search surfaces (ChatGPT, Perplexity, Gemini, Claude, Google AI Mode).
- 3Capture answers & citationsTimestamped captures, screenshots, source URLs, and engine metadata preserved for every prompt.
- 4Score mentions & misrepresentationRecommendation, mention, omission, misrepresentation — labelled by a human reviewer, not a heuristic.
- 5Map source & content gapsWhich third-party and owned pages drive citations, and which gaps your competitors are filling.
- 6Roadmap & retest planA sequenced fix backlog with impact/effort, plus a retest plan to measure visibility gained.
Five categories where AI search is already decisive.
Outbound, sequencing, intent — recommendation-heavy queries with consolidated incumbents.
Attribution, lifecycle, analytics — buyers ask AI for "best stack for
Heavy reliance on docs, GitHub, and listicles. Source readiness directly shapes citations.
Trust-led category. Misrepresentation in AI answers can stall procurement before it starts.
Crowded incumbents, comparison-driven evaluations, and high listicle dependence.
Scoped services. No unlimited promises.
Start with the $99 Snapshot to see whether the problem is real. Add $1,500/month Monitoring to re-run 25–50 prompts monthly, track movement, and prioritize changes. Use the $6,500 Sprint to fix scoped gaps.
A paid diagnostic and qualification product that answers: is this a real visibility problem?
- 10–15 high-intent prompts
- 2–3 AI / search surfaces
- Up to 3 named competitors
- Top-line recommendation, omission, and misrepresentation findings
- Citation / source-gap snapshot
- 3–5 prioritized next actions
- Dashboard status while the Snapshot is in progress
- Report download in the dashboard plus email delivery after owner approval
- No trend history, ongoing refresh, strategy call, implementation, or ranking guarantee
The core recurring product: a managed intelligence layer with human review, evidence QA, alerts, and prioritization.
- 25–50 prompts monthly
- 3–5 competitors tracked over time
- 3–5 AI / search surfaces based on buyer relevance
- Human-reviewed answer capture
- Recommendation, mention, omission, misrepresentation, and share-of-voice tracking
- Citation/source change tracking
- Misrepresentation alerts
- Monthly executive report
- Prioritized action queue
- No unlimited prompts, competitors, regions, or workspaces
- No content production or site implementation
- No unbounded daily or weekly reporting unless separately scoped
- No guaranteed rankings, inclusion, or pipeline
Implementation tier that fixes evidence-backed gaps surfaced by Snapshot or Monitoring.
- Scoped implementation plan from evidence-backed findings
- 3–5 priority pages/templates or equivalent content assets
- Citation/source-readiness improvements
- Entity and positioning cleanup
- FAQ / schema / llms.txt recommendations where relevant
- Before/after measurement using the same prompt set
- Handoff notes and change-order list
- No unlimited content production
- No net-new product or engineering features
- No broad SEO retainer work
- No PR or link-building campaigns unless separately scoped
- No ongoing monitoring after the sprint
Google says the fundamentals still matter for AI search experiences: useful, accessible, unique content; crawlable pages; accurate structured data; and clear source material. We do not promise rankings. We measure visibility, identify gaps, and help you improve the public evidence AI systems can understand and cite.
We run the same loop on AI Ranking Pro.
We don't have client logos yet — and we're not going to fake any. Instead, we publish the loop we run on ourselves, in public, so you can see exactly what you'd be paying for.
Read the Google Discover recipe- 01Monitor. Track official Google Search, Discover, and AI-search guidance weekly.
- 02Audit. Re-test our own pages for answerability and crawlability.
- 03Publish. Source-backed methodology and a public sample report.
- 04Improve. Ship page-level fixes — never hacks or hidden content.
- 05Retest. Measure visibility gained, not promised.
Straight answers.
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No, and you should be skeptical of anyone who does. AI engines change frequently and don't expose rankings the way classic search does. We measure visibility, identify gaps, and help you improve the public evidence engines can understand. That's the only honest service.
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By default: ChatGPT, Google AI Mode, Perplexity, Gemini, and Claude. We pick 3–5 surfaces per audit based on where your category's buyers actually ask questions. Engine selection is explicit in every report.
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Snapshots are designed as a fast paid diagnostic. Monitoring runs monthly from a fixed baseline. Sprint engagements usually run 2–4 weeks once the target gaps are selected.
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The $99 Snapshot gives 10–15 buyer-intent prompt checks, 2–3 AI / search surfaces, up to 3 named competitors, a citation/source-gap snapshot, 3–5 prioritized next actions, and a concise report. Monitoring expands this into monthly tracking and a prioritized action queue.
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Not in Snapshot or Monitoring — that's the Sprint. We keep measurement and implementation separate so monitoring stays unbiased and the Sprint stays scoped.
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It's AI visibility — measuring whether AI answer engines recommend, omit, or misrepresent you. SEO fundamentals (crawlability, structured data, useful content) still apply; we layer the AI-specific evidence on top.
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B2B SaaS is our premium ICP and where the methodology is sharpest. We can run audits for adjacent service businesses on request, but we won't oversell fit.
See where AI search puts you — before your next quarter's pipeline depends on it.
Most audits start within a week. Categories with consolidated incumbents see the biggest deltas after the Sprint.