Executive Case
The case for doing GEO at all, written for the person who signs the budget. Two-sided evidence so the conversation survives a skeptical question, plus four frames mapped to executive archetype.
What executives actually ask
Section titled “What executives actually ask”| Question | What they want to know |
|---|---|
| ”Is this real, or is this 2014’s responsive-design panic?” | Whether the trend is structural or vendor-driven hype |
| ”How does it show up on the P&L?” | What changes in pipeline, CAC, revenue mix |
| ”Why now, not next year?” | Whether late entry is recoverable or path-dependent |
| ”How do we know it worked?” | Measurable exit criteria, kill switches |
The frames below are organised so the answer to each lands in the right place.
Two-sided evidence
Section titled “Two-sided evidence”A defensible case acknowledges the skeptic. Then it explains why the volume-side and the funnel-side tell different stories about the same shift.
What says it’s real
Section titled “What says it’s real”| Signal | Number | Source |
|---|---|---|
| Google AI Overviews monthly active users (May 2026) | 2.5B | Google I/O 2026 keynote |
| Google AI Mode monthly active users (May 2026) | 1B, queries doubling per quarter | Google I/O 2026 keynote |
| Google queries showing AI Overviews (Mar 2026) | 48% (up from 13% Mar 2025) | quickseo.ai aggregation |
| Top-ranking-page CTR change with AIO present | −58% | Ahrefs 300K-keyword study, Feb 2026 |
| Pew measured click rate with vs. without AI summary | 8% vs. 15% (≈ −47%) | Pew Research browsing study |
| Top-100 organic pages with zero LLM traffic | 49 of 100 | Search Engine Land 10-site / 150K-page study, Mar 2026 |
| ChatGPT referral conversion rate | 7.1% (second only to paid search at 7.8%) | Similarweb 2026 |
| AI-search visitor conversion vs. organic baseline | 4.4× | Semrush AI search traffic study |
What says it’s hype (or at least early)
Section titled “What says it’s hype (or at least early)”| Counter-signal | Number | Source |
|---|---|---|
| AI referrals as share of total web visits | ~0.13% | Similarweb 2026 average |
| Sites getting < 2% of traffic from ChatGPT | 70% | WordStream 2026 Small Business survey |
| Small businesses reporting no AI-search impact yet | 60% | WordStream 2026 |
| Users running parallel Google + ChatGPT (not replacement) | confirmed | 260B clickstream sessions analysis |
Honest synthesis
Section titled “Honest synthesis”Volume-side skeptics are right today: AI referrals are still 0.1–1% of visits and most sites haven’t felt the shift in their analytics yet.
Funnel-side worriers are right structurally: AI Overviews already eats ~half of all Google queries and cuts top-ranking-page CTR ~50–58%, and 49 of every 100 top-organic pages on the sample studied have zero LLM presence. The traffic that does come through AI engines converts 4–7× better than organic. The shift is small in volume and large in funnel quality — those are not contradictions.
Four frames for the conversation
Section titled “Four frames for the conversation”Different executives respond to different framings. Match the frame to the archetype.
| Frame | The argument | Best for |
|---|---|---|
| Defensive moat | AI engines build citation memory now. Brands cited first lock in share that compounds; late entrants pay a trust tax. | Risk-averse CEO; board-reporting context |
| Funnel quality, not funnel size | AI referrals are 1% of traffic but convert 4–7× better — they may already be 5–10% of qualified pipeline. Recompute the channel by qualified-lead share, not visit share. | CFO; RevOps; sales-led orgs |
| SERP real-estate substitution | Half of Google queries now show AI Overviews. Ranking #1 no longer means clicks. GEO is not net-new spend — it’s the next iteration of the SEO budget. | CMO with existing SEO line item |
| Agentic commerce readiness | OpenAI’s Agentic Commerce Protocol and Google’s “agent manager” Search are converging on agents buying the product, not users. Storefronts not agent-readable (Pillar 5) exit the consideration set. | Commerce-led CEO; product-led growth |
CFO business case — five sections
Section titled “CFO business case — five sections”The pattern that wins finance approval. Each section addresses a specific objection.
- Baseline. Current AI citation share, current AI referral volume and conversion. Sourced from Similarweb / Semrush / Bing Webmaster Tools AI Performance Report.
- Risk. AIO CTR impact applied to the client’s own top-organic queries. The Ahrefs/Pew methodology run against their keyword set — concrete revenue at risk, not industry averages.
- Investment. Tiered programme cost. SMB $1.5–3K/mo · mid-market $3–8K/mo · enterprise $8–25K+/mo is the going band. Framix tier maps to engagement scope (deliverables D.1–D.6).
- Payback. Projected citation lift × AI referral conversion rate × ACV. Honest about the volume ceiling near-term.
- Exit criteria. Kill-switch metrics from §07 Post-launch — no citation lift after 90 days = de-scope. Finance respects pre-committed exits more than upside promises.
Quotable peer signals
Section titled “Quotable peer signals”When the CEO wants external validation rather than vendor numbers.
| Speaker | Quote / signal | Use for |
|---|---|---|
| Sundar Pichai, Google I/O 2026 | ”A lot of what are just information-seeking queries will be agentic in Search. Search would be an agent manager.” | Legitimising agentic-commerce readiness |
| Liz Reid, VP Search, Google I/O 2026 | ”AI in search, not AI or search.” | Neutralising the “this is hype, search is search” objection |
| Reddit CEO, Q2 2025 earnings | ”Marketing to AI is rapidly becoming a boardroom concern for large enterprises.” | Evidence the conversation is already at peer boards |
What this case is not claiming
Section titled “What this case is not claiming”- Not “SEO is dead.” Half of Google queries still show traditional results; users run parallel journeys.
- Not “guaranteed citation lift.” See §09 — What we don’t do. Framix sells a delivered engineering and content standard, not a ranking promise.
- Not “high traffic volume next quarter.” The volume is small today. The argument is funnel quality and structural positioning, with measurable exit criteria.
Aligning expectations to that frame is what makes the case survive the second meeting.