PROVABLE GROWTH FOR AI ANSWERS
Turn visibility in AI answers into improvements you can verify.
Measure how your brand is represented in important buying contexts. Compare expected impact and investment before acting, then retest under the same recorded conditions.
- 01Model impact before investing
- 02Execute after human approval
- 03Retest under matched conditions
ANONYMOUS OUTCOME DEMO
See the improvement range before committing budget.
An anonymous enterprise software demonstration. Measured baseline and modeled scenarios are clearly separated.
- Indicative implementation
- $18,600–$58,800
- Estimated duration
- 75–120 days
- Model confidence
- 80%
Model assumptions
- Selected actions pass human governance and are delivered at the declared rate
- Winning Context weights and the measured baseline remain representative
Not included
- Any guarantee of ranking, citation, recommendation, revenue or deployment
- Engine changes, competitor actions and distribution lag
PROVABLE FLOW
Trace every decision from measurement to outcome.
Connect the baseline to investment, approval, delivery and verification in one readable path.
- 01 · MEASURE
Measure
Establish current AI answers and priority buying contexts
- 02 · DECIDE
Decide
Compare impact, cost and evidence requirements
- 03 · IMPROVE
Improve
Execute only the actions people approve
- 04 · VERIFY
Verify
Retest outcomes under matched conditions
CORE CAPABILITIES
Make the reason for improvement explainable.
Turn specialist analysis into decisions that leadership and delivery teams can use together.
01Winning ContextDefine where being chosen mattersView detail
Map audience, intent, market, language and buying stage to the AI-answer contexts with business value.
02Evidence Coverage MatrixAudit the proof behind each claimView detail
Separate available, missing, stale and demonstrably absorbed evidence for priority claims.
03Transparent Value FlowTrace decisions and investmentView detail
Follow context, gap, evidence, action, budget, approval, delivery and outcome in one flow.
04Matched Retest CalibrationVerify change on comparable termsView detail
Record engines, prompts, markets, languages and run counts, then disclose any mismatch.
MEASUREMENT DISCIPLINE
Every number says what kind of result it is.
A forecast is never presented as an observed outcome. The origin of each decision number stays visible.
Calculated from answers collected under recorded conditions
A scenario calculation with disclosed assumptions
Presented with its evidence and reasoning method
Missing evidence is never replaced with zero
MARKET PERSPECTIVE
Move from monitoring to verifiable improvement.
A qualified view of the capabilities each product category emphasizes publicly.
| Capability | AI visibility monitoring | Integrated SEO suites | AI content delivery | ProvableGEO |
|---|---|---|---|---|
| Mentions, citations and share measurement | Core | Supported | Supported | Supported |
| Priority buying-context diagnosis | Partial | Partial | Partial | Core |
| Evidence gaps and answer absorption | Partial | Partial | Partial | Core |
| Pre-action impact, cost and duration model | Varies | Varies | Varies | Core |
| Approval and decision record | Varies | Varies | Varies | Core |
| Matched before-and-after retest | Partial | Partial | Partial | Core |
Summary of the main public positioning of each category as of August 2026. Actual capabilities vary by provider and plan.
GEO/AEO DIAGNOSTIC
Start by finding the improvement opportunity.
Tell us the brand or product, target market and buying context that matters. We will define an appropriate diagnostic scope.
After reviewing the request, we will contact you about measurement scope and next steps.