How much is the Snapshot and what does it include?

The AI Visibility Snapshot is $99 (one-time). It covers 10–15 buyer-intent prompts, 2–3 AI/search surfaces, up to 3 named competitors, a citation/source-gap snapshot, 3–5 prioritized next actions, and a concise report. It does not include trend history, dashboard access, implementation, or a strategy call by default.

How long does it take?

The Snapshot is designed as a fast paid diagnostic after we confirm your brand, competitors, and surfaces. Monitoring then gives monthly trend history if the issue is real enough to track.

Do you guarantee we'll appear or rank in AI answers?

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 deliverable.

What happens after the Snapshot?

You get one recommended next step. If the issue is volatile or competitor-driven, move into AI Visibility Monitoring. If the gap is obvious and fixable, the AI Visibility Sprint turns the findings into scoped pages, sources, and schema, with one retest.

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AI Visibility Snapshot for B2B SaaS

We test a small set of real buyer-intent prompts, show whether competitors appear instead of you, and give a short prioritized next-actions list. $99.

Get the $99 Snapshot View sample report

Evidence-first. No ranking guarantees, no hidden tactics, no unlimited scope.

An AI Visibility Snapshot is a $99 paid diagnostic that checks whether AI answer engines mention, recommend, omit, or misrepresent your brand for a small set of buyer-intent prompts.

When a buyer asks ChatGPT or Google AI Mode for "the best tools in your category," the answer is already shaping a shortlist before anyone visits your site. If AI doesn't know how to recommend you — or recommends a competitor in your place — the deal can start without you.

The Snapshot is bounded on purpose. It is not a full audit, dashboard, or roadmap; it shows whether the signal is real enough to justify Monitoring or a Sprint.

Tested across

ChatGPT
Google AI Mode
Perplexity
Gemini
Claude

What you get

Snapshot scope, with explicit boundaries.

Six small checks. Enough to decide whether to monitor the problem or fix scoped gaps.

Prompts

10–15 buyer-intent prompt checks

A small set of category, comparison, and use-case prompts written the way real buyers ask AI — enough to see whether the issue is real without pretending to be a full monitoring baseline.

Competitors

Up to 3 named competitor comparisons

Up to three named rivals checked alongside your brand so omissions and competitor recommendations are concrete, not theoretical.

Surfaces

2–3 AI / search surfaces

We choose the surfaces most relevant to your category from engines like ChatGPT, Google AI Mode, Perplexity, Gemini, and Claude.

Evidence

Citation / source-gap snapshot

Headline findings include enough captured evidence to show what was said, where, and why it matters.

Risk

Omission or misrepresentation clues

We flag the clearest signs that AI answers omit you, recommend competitors, or describe you inaccurately.

Next step

3–5 prioritized next actions

The Snapshot ends with a short next-actions list: monitor recurring movement, scope a Sprint for fixable gaps, or wait if the signal is weak.

Honest boundaries

What's included — and what's deliberately not.

Included in the Snapshot

10–15 buyer-intent prompts
1 brand / domain
Up to 3 named competitors
2–3 AI / search surfaces
3–5 prioritized next actions
Citation / source-gap snapshot
Concise PDF or markdown delivery

Not included

Ranking or inclusion guarantees
Trend history or monthly retesting
Dashboard access, strategy call, or implementation by default
Implementation of fixes (that's the Sprint)

Evidence-first. No AI ranking guarantees.

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.

How it works

Measured the same way every time.

The Snapshot uses the same evidence-first methodology, but on a deliberately smaller scope than Monitoring.

1

Define buyer-intent prompts

10–15 prompts for a Snapshot, or 25–50 prompts for Monitoring, mapped to persona, funnel stage, and category — not vanity queries.
2

Select competitors & surfaces

3–5 named competitors across 3–5 AI/search surfaces (ChatGPT, Perplexity, Gemini, Claude, Google AI Mode).
3

Capture answers & citations

Timestamped captures, screenshots, source URLs, and engine metadata preserved for every prompt.
4

Score mentions & misrepresentation

Recommendation, mention, omission, misrepresentation — labelled by a human reviewer, not a heuristic.
5

Map source & content gaps

Which third-party and owned pages drive citations, and which gaps your competitors are filling.
6

Roadmap & retest plan

A sequenced fix backlog with impact/effort, plus a retest plan to measure visibility gained.

Inside the deliverable

A concise diagnostic with a short next-actions list.

The Snapshot is intentionally small: selected captures, count-based findings, and a short next-actions list. Monitoring expands this into recurring history.

See everything you receive

Snapshot summary

A concise paid diagnostic: what we checked, where you appeared, and what stood out.

Prompt findings

10–15 prompt checks with results shown as counts, not vague percentages.

Competitor clues

Where up to three named competitors were recommended, mentioned, or omitted relative to you.

Evidence captures

Selected answer excerpts or screenshots with engine and date for the headline findings.

Risk notes

Omission, competitor recommendation, stale-claim, or misrepresentation signals worth watching.

Recommended next step

A short prioritized next-actions list: monitoring if the problem looks recurring; Sprint if the gap is obvious and fixable.

Price & scope

$99. Bounded, diagnostic, not a full roadmap.

$99

one-time paid diagnostic for one brand/domain

10–15

buyer-intent prompts with limited evidence captures

2–3

AI / search surfaces and up to 3 competitors

3–5

prioritized next actions with a clear recommended path

Need trend history after the Snapshot? AI Visibility Monitoring expands to 25–50 prompts monthly, 3–5 competitors, and a prioritized action queue.

FAQ

Snapshot questions, answered straight.

The AI Visibility Snapshot is $99 (one-time). It covers 10–15 buyer-intent prompts, 2–3 AI/search surfaces, up to 3 named competitors, a citation/source-gap snapshot, 3–5 prioritized next actions, and a concise report. It does not include trend history, dashboard access, implementation, or a strategy call by default.
The Snapshot is designed as a fast paid diagnostic after we confirm your brand, competitors, and surfaces. Monitoring then gives monthly trend history if the issue is real enough to track.
For the Snapshot, we choose 2–3 AI/search surfaces most relevant to your category from engines like ChatGPT, Google AI Mode, Perplexity, Gemini, and Claude. Monitoring expands this to 3–5 surfaces monthly.
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 deliverable.
You get one recommended next step. If the issue is volatile or competitor-driven, move into AI Visibility Monitoring. If the gap is obvious and fixable, the AI Visibility Sprint turns the findings into scoped pages, sources, and schema, with one retest.

See where AI search puts you.

Start with a $99 diagnostic. If it reveals recurring or fixable gaps, move into AI Visibility Monitoring or AI Visibility Sprint.

Get the $99 Snapshot View sample report

AI Visibility Snapshot for B2B SaaS

See where AI search puts you.

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