Five proprietary capabilities working together to diagnose, quantify, and recover AI search revenue.
Sprint Zero™
MBB-level AEO revenue diagnostic
CrawlIQ™
LLM crawlability intelligence
Citation Map™
Own the citation. Own the query.
Revenue Intelligence™
Business-model-aware AEO revenue quantification
Sprint Board™
CMO + CTO execution system
We built this model because visibility scores don't tell you what invisibility costs. Every metric in your Sprint Zero report connects to an estimated revenue figure based on your company's actual scale.
Monthly AI Search Traffic
= Monthly Visitors × AI Traffic Coefficient
Revenue at Risk (Monthly)
= Missed AI Traffic × Conversion Rate × Avg Deal Size
Annual Revenue at Risk
= Monthly × 12
Confidence Interval: ±35%
| Vertical | Coefficient | Source |
|---|---|---|
| high purchase intent | 18%–26% | Bullseye AEO dataset |
| medium purchase intent | 8%–15% | Bullseye AEO dataset |
| low purchase intent | 2%–7% | Bullseye AEO dataset |
Updated monthly as our dataset grows. Currently based on 0 Sprint Zero audits.
| Funding Stage | ACV Low | ACV High |
|---|---|---|
| pre seed | $200 | $1,000 |
| seed | $500 | $3,000 |
| series a | $2,000 | $8,000 |
| series b | $5,000 | $20,000 |
| series c | $15,000 | $50,000 |
| growth | $20,000 | $80,000 |
| public | $15,000 | $100,000 |
| bootstrapped | $200 | $5,000 |
| enterprise | $25,000 | $150,000 |
| unknown | $1,000 | $12,000 |
Source: Public SaaS benchmarks + Bullseye dataset
Revenue estimates use verified traffic data from SEMrush or SpyFu. Confidence interval: ±25%.
Traffic estimated from social proof, pricing tiers, and brand signals found on your website. Confidence interval: ±35%.
No traffic data available. Revenue uses industry default benchmarks. Add your traffic data to improve accuracy.
Tests 20 carefully selected prompts that represent common buyer queries in your industry. Each prompt is analyzed using multi-signal AI analysis to estimate whether your brand would appear as a cited source.
±35%
Margin of error
~20
Data points
~30s
Time
Tests 35+ prompts specific to your industry, competitors, and use cases. Each prompt is submitted 100 times to each AI engine — ChatGPT, Gemini, Perplexity, and Claude — at different times of day and with slight variations.
AI search results are probabilistic, not deterministic. The same query produces different results each time. Running 100 times gives you a true visibility rate with statistical significance.
"Best compliance automation software"
Run 100 times on ChatGPT:
Vanta cited: 67/100 times (67% visible)
Drata cited: 81/100 times (81% visible)
You cited: 12/100 times (12% visible)
That 12% is your real number.
Not an estimate. A measurement.
±4%
Margin of error
3,500+
Data points
Weekly
Cadence
These are estimates, not guarantees.
Actual revenue impact depends on many factors specific to your business.
Confidence interval: ±35%.
Use as directional guidance for prioritization decisions.
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