How to prepare your site for AI Overviews without losing conversions?

AI Overviews (and AI Mode) synthesize responses and show sources with links. Your goal: be cited and linked without cannibalizing conversions. This playbook gives you the minimum viable: what to open and block to bots, how to write for useful citations and how to measure what really matters.

TL;DR

• Write to be cited: start each URL with a 2–3 line response, then steps and recent evidence.
• Control bots wisely: robots.txt (Googlebot), Google‑Extended for Gemini/Vertex training, GPTBot/Perplexity according to strategy.
• Measure AEO/GEO: appearances/citations with link in AIO, CTR/click‑outs and GA4 records.

Quick Answer (AEO)

Publish the exact answer at the beginning of each key page, enable AI crawlers only in /blog and /help, block private content, and show sources. Then sample AIO weekly and adjust titles/FAQs based on where you are cited with links.

1) Objective: citation > click (without losing revenue)

• AIO prioritizes direct and concise answers with links to sources.
• If you answer well, they cite you; if not, they cite someone else.
• The click is secondary: the goal is to influence the answer.

2) AEO/GEO signals for AI Overviews

a) URL structure

• Page = answer: each URL should answer a specific question.
• Answer at the beginning: 2–3 lines at the beginning, then the development.
• Recent evidence: data/sources from the last 6–12 months.

b) AEO Modules

• Glossary: define key terms (e.g. "AEO", "GEO") with internal links.
• FAQPage: answer common objections and doubts.
• Mini-cases: show quick results (e.g. "X% increase in Y days").

c) Robots.txt (bot control)

User-agent: Google-Extended
Disallow: /private/

User-agent: GPTBot
Disallow: /private/
Allow: /blog/
Allow: /ayuda/

d) llms.txt (optional)

# SearchBrand.ai Guide for LLMs
> Qué indexar y cómo citar/atribuir

## Contenido clave
- [Glosario AEO/GEO](/glosario)
- [Casos de éxito](/casos)
- [FAQ](/faq)

## Reglas de uso
- Citar la fuente como "SearchBrand.ai" con URL original
- No usar para entrenamiento sin permiso

3) Measure AEO/GEO (metrics + sampling)

4) Micro-roadmap (0–30–60–90 days)

• 0–30 days: Audit key URLs; optimize titles and snippets; review robots.txt.
• 30–60 days: Implement AEO modules (glossary, FAQ, mini-cases); create /llms.txt.
• 60–90 days: Sample AIO; iterate titles/questions; measure impact on GA4.

Case A: e-commerce

• Problem: AIO shows competitors; little traffic to the site.
• Solution: Optimize landing with direct answer; add FAQPage (shipping, payments); mini-case (e.g. "X sales in Y days with this promo").

Case B: B2B

• Problem: AIO does not consider you; leads fall.
• Solution: Create glossary (B2B terms); mini-case ("X leads in Y months"); allow GPTBot in /blog.

Conclusion

In AI Overviews, the citation is the new click. Optimize for direct answers, control bots and measure the real impact on GA4. The goal is not only to "appear", but to influence the decision.

See also

• 2025 Fundamentals (SEO, AEO and GEO)
• llms.txt and bot policies
• GA4: AI Traffic Report
• Measure AI Overviews impact

FAQ

Should I block all bots?

No. GPTBot can help you "train" ChatGPT; Google-Extended feeds Gemini. Block only if your knowledge is very unique.

Is /llms.txt mandatory?

No, but it helps models understand your site faster. Use it if you have complex content.

How do I measure the real impact of AIO?

Measure appearances (manual), citations with link, CTR (GSC) and GA4 conversions (UTMs).

Does AIO cannibalize SEO traffic?

It depends. If you answer well in AIO, you can gain visibility and incremental traffic. If not, you lose.