AEO & GEO demand capture
Where AI search visibility (ChatGPT, Perplexity, Gemini, AI Overviews) is the next 12 months of competitive advantage.
AI revenue · Offensive AI · Top-line growth
AI revenue consultant.
Best fit when AI is making revenue, not just reducing cost. Most AI engagements are defensive: efficiency, headcount, automation. The offensive AI question is harder: where does AI capture demand, accelerate the sales motion, increase retention — and how does that show up in the P&L next quarter?
When to hire
The offensive AI questions worth settling.
Hired when the CEO needs AI tied to revenue attribution, not activity metrics.
AI-mediated buyer journey
What happens when buyers research, compare, and shortlist using AI. The brand mention in the model. The citation. The agent-mediated conversion.
Sales acceleration
RFQ response, configuration, pricing, proposal speed. Where AI compresses the sales cycle and where it just creates noise.
Retention & expansion
NPS-tied automation, cross-sell intelligence, churn prediction. The AI revenue that compounds inside the existing book.
Pricing & margin
AI-driven personalization, dynamic pricing posture, margin protection. Where AI moves the gross margin number, not the cost-to-serve number.
Channel intelligence
Marketplace dynamics, partner motion, AI-mediated distribution. Where the next channel of revenue actually opens.
How it works
Revenue-first AI decision framework.
Map the revenue surface
Where does revenue come from today, and where does AI plausibly accelerate it. Quantified, not assumed.
Stress-test the highest-leverage cell
One revenue cell — demand capture, sales acceleration, retention — selected on volume, ROI window, and reversibility.
Validate attribution
Before any AI ships, the attribution mechanic is settled. How will the revenue lift be measured. By whom. Against what baseline.
Decide commit or don’t
One defensible recommendation. Commit with the named owner, named KPI, named measurement window. Or pause — with the reason written down.
Frequently asked
Common questions about this engagement.
What's the difference between AI revenue consulting and AI consulting?
Most AI consulting is defensive: efficiency, automation, cost reduction. AI revenue consulting is offensive: where AI captures demand, accelerates the sale, increases retention. The output of revenue consulting is a quarterly P&L lift attributable to AI — not a productivity story.
Where does AI most reliably move the top line?
Three areas have produced the most reliable revenue lift in the last 24 months: AEO/GEO demand capture (visibility in ChatGPT, Perplexity, Gemini, AI Overviews), sales acceleration (RFQ, configuration, proposal speed), and retention (cross-sell intelligence, churn prediction). The right one depends on the company's revenue mix and current attribution maturity.
Is AEO/GEO real revenue, or just SEO theatre?
Real revenue. ChatGPT and Perplexity now mediate a measurable portion of B2B research and shortlist conversations. The company that gets cited in the AI answer becomes the company that gets evaluated. Companies absent from AI responses lose the shortlist before they know there was a shortlist.
How is revenue attribution settled before AI ships?
Attribution is the design choice that determines whether revenue can ever be claimed. Before any AI ships, the engagement defines the baseline measurement, the comparison cohort, the time window, and the named owner who signs off on the number post-launch. No attribution discipline = no claimable revenue.
Does this work for B2B and B2C?
Yes — with different mechanics. B2B revenue lift is concentrated in AEO/GEO (early-stage research), sales acceleration (mid-stage), and retention/expansion (late-stage). B2C revenue lift is concentrated in personalization, dynamic pricing, and AI-mediated discovery. The framework is shared; the application differs.
Discuss this engagement.
Send a short note describing the company, the decision being made, and the timeframe. First call within two business days.
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