20 buying-intent prompts
Category, comparison, alternative, pricing, and how-to prompts that mirror buyer research.
Audit template
A practical AI visibility audit template for SaaS teams.
Use this template to prepare a paid snapshot without accidentally triggering high-cost scans. The goal is to define the brand, competitors, prompts, evidence standards, report sections, and limits before measurement starts.
Short answer
An AI visibility audit should produce evidence, not a vague score.
A useful audit captures buyer prompts, generated answers, brand and competitor mentions, citations, verified source URLs, query gaps, and a short action list tied to observed evidence.
Audit workflow
Inputs from the SaaS team
Domain, product category, ICP, target region or language, 3-5 competitors, and 5-10 priority buying-intent prompts.
Snapshot setup
GeoBeam reviews inputs, expands the prompt set when useful, and keeps subscriptions inactive until payment and manual activation.
Measurement pass
Controlled monitor scans capture answers and citations for the approved prompt set within the agreed scan window.
Evidence review
Mentions, citations, competitor-owned prompts, and weak or ambiguous matches are reviewed before the report is delivered.
Action delivery
The final report includes wins, query gaps, cited domains, competitor-owned prompts, and five evidence-backed actions.
Inputs required before activation
| Input | What to provide |
|---|---|
| Domain | The canonical SaaS domain and any product subdomains that matter. |
| Positioning | One sentence describing what the product does and who it is for. |
| ICP | The buyer or user segment the snapshot should evaluate. |
| Category | The category name buyers would use when asking for recommendations. |
| Competitors | 3-5 named competitors. Generic terms are not counted as competitors. |
| Priority prompts | 5-10 prompts for the first paid snapshot; expand only after the first pass is useful. |
| Target market | Region, language, and any market constraints that change the prompt wording. |
Dashboard deliverables
What the paid snapshot should show.
Controlled AI answer scans
Low-cost monitor scans with answer text, model, citations, status, and budget guardrails.
Competitor benchmark
Mention rate, competitor-only answers, share of voice, and query-level wins and gaps.
Verified citation evidence
Cited URLs are normalized and checked so actions are tied to reachable evidence.
5 evidence-backed actions
An action list with target pages, evidence URLs, priority, and monitoring status.
Dashboard access
A private workspace for visibility changes, query gaps, citations, scans, and actions.
Evidence standards
| Standard | Definition |
|---|---|
| Strong mention | A brand mention with parser confidence of 0.7 or higher. GeoBeam uses this as the headline visibility metric to avoid overcounting weak matches. |
| Share of voice | The tracked brand's mentions divided by the tracked brand plus configured competitor mentions across the answer set. |
| Competitor-owned answer | An answer that names a configured competitor with high confidence while the tracked brand is missing. |
| Verified citation rate | The share of stored citation URLs that resolved successfully after normalization and verification. |
| Query gap | A prompt where the brand is absent, competitors appear, or citations point to sources the brand does not own. |
Report outline
The final report should be readable in one pass.
Executive summary
Baseline visibility and scan window
Wins and appeared prompts
Competitor-owned prompts
Top cited domains and citation gaps
Five evidence-backed actions
Data quality and limitations
Next monitoring goals
Frozen benchmark
The workflow has production evidence, but paid demand is still being validated.
OpenAI-only production monitor scans, 2026-05-29 to 2026-06-08. 1237 runs, 97.03% verified citation rate, $0.012645 average scan cost. The benchmark is frozen. Public pilot brands are observed examples, not customers or endorsements.
Limits to keep in the report
| Limit | Why it matters |
|---|---|
| OpenAI-only production monitor scans. | Prevents the audit from sounding like a guarantee or customer endorsement. |
| Frozen production benchmark, May 29-Jun 8 2026. | Prevents the audit from sounding like a guarantee or customer endorsement. |
| Pilot brands are observed examples, not customers or endorsements. | Prevents the audit from sounding like a guarantee or customer endorsement. |
| GeoBeam monitors, explains, and recommends; it does not guarantee AI ranking. | Prevents the audit from sounding like a guarantee or customer endorsement. |
| Perplexity is excluded from public proof until production smoke passes. | Prevents the audit from sounding like a guarantee or customer endorsement. |
Product facts
| Fact | GeoBeam |
|---|---|
| Product category | AI search visibility monitoring and paid AI visibility snapshot for SaaS teams. |
| Primary buyer | Small SaaS teams and founders that need evidence before buying an enterprise AI visibility platform. |
| Current offer | $49 paid AI visibility snapshot with human-assisted setup and controlled production scans. |
| Inputs required | Domain, category, ICP, target market or language, 3-5 competitors, and 5-10 priority buying-intent queries. |
| What GeoBeam measures | Distinct-answer mention rate, competitor-only answers, share of voice, query gaps, citation domains, verified citation rate, and visibility change by scan window. |
| What GeoBeam delivers | Private dashboard, query gap table, evidence explorer, verified citations, audit report, and 5 evidence-backed actions. |
| Provider proof scope | Current public proof is OpenAI monitor scans. Perplexity is excluded until production smoke passes. |
| Limit | GeoBeam monitors, explains, and recommends. It does not guarantee AI rankings, recommendations, or traffic lift. |
FAQ
Does the audit template trigger free scans?
No. The template explains the paid setup workflow. Unpaid setups stay pending and do not trigger production scans until payment and manual activation.
How many prompts should a first snapshot use?
Start with 5-10 priority prompts for a controlled first pass. Expand to 20 prompts after the first pass proves the category and evidence are useful.
Does GeoBeam improve GEO rankings for me?
GeoBeam helps teams measure, explain, and prioritize AI visibility work. It can recommend changes, but it does not guarantee ranking, recommendation, citation, or traffic outcomes.