GEO and AI revenue calculator
Model what AI
visibility could be worth
Set your own assumptions and see the scenario they imply. Every number comes from your inputs; none of it is a forecast or a mapou estimate.
Adjust the four levers
Your own assumption. Test your brand free to see your real share across the AI assistants.
Scales the result relative to a 3% conversion rate. Set it to your own figure.
Scenario: change in AI-influenced revenue from your inputs
+400%
| Today, per month | $10K |
|---|---|
| Target, per month | $50K |
| Monthly lift | $40K |
| Annual lift | $480K |
This is arithmetic on the assumptions above, not a forecast. Share of AI answers measures how often assistants recommend you; it is not a proven predictor of revenue, and mapou does not claim it is.
Illustrative model only. Actual results depend on category, brand baseline, and execution.
The calculator runs on your assumptions. The free check measures your actual brand on real buying questions across four AI assistants, and the workspace tracks it every day from there.
SEO against GEO
The key differences in how each works, and why the same tactics don't transfer.
| Dimension | Traditional SEO | Generative Engine Optimisation (GEO) |
|---|---|---|
| Primary output | Ranked links on SERP | Brand cited in AI answer |
| Traffic type | Click, then visit | Zero-click impression or direct intent click |
| Ranking signal | Backlinks, on-page SEO, PageRank | Entity authority, citation frequency, structured data |
| Content format | Long-form articles, meta tags | Structured FAQs, entity schemas, conversation-ready content |
| Measurement | Impressions, clicks, rankings | AI Share of Voice, citation rate, prompt-level attribution |
| Time to impact | 3 to 6 months minimum | Weeks for citation, months for full SOV shift |
| Paid acceleration | Google Ads on SERPs | Retail media AI placements, ChatGPT Shopping |
| Key risk | Algorithm update | Being absent when AI answers your category queries |
Frequently asked
About the calculator, GEO, and AI Share of Voice.
What is GEO (Generative Engine Optimization)?
GEO is the practice of optimizing a brand's content, entity authority, and structured data so that generative AI engines like ChatGPT, Perplexity, Gemini, Claude, and Grok cite the brand when users ask buyer-intent questions. Unlike SEO, success is measured by citation rate and AI Share of Voice, not blue-link rankings.
How is AI Share of Voice calculated?
AI Share of Voice is the percentage of relevant buyer-intent prompts in a category where an AI engine cites or recommends a given brand. mapou tracks this across five engines (ChatGPT, Perplexity, Gemini, Claude, Grok) over a fixed 20-prompt taxonomy per segment.
What inputs does the calculator use?
Four, all set by you: monthly revenue influenced by search, your current share of AI answers, a target share, and a conversion-rate assumption. The output is arithmetic on those inputs, not a forecast or a mapou estimate.
Why are the calculator's numbers illustrative, not forecasts?
Because every number comes from your own assumptions, and share of AI answers is not a proven predictor of revenue. Your real figures depend on category, brand and engine mix. The free check at mapou.ai/check measures how often AI actually recommends your brand on real buying questions across four AI assistants.
How long does it take to improve AI Share of Voice?
It varies by category, engine and how much competitors are doing, so we do not quote a standard timeline. The workspace measures it directly: ship a change, and mapou re-runs the same buying questions to show whether your share moved.