# AI search / GEO optimization (may 2026) Human Guide

## What This Is For
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. It gives the agent a clearer input/output frame for search and SEO workflows: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the AI search / GEO optimization (may 2026) agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for AI search / GEO optimization (may 2026).
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the AI search / GEO optimization (may 2026) guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- Clear, quotable sentences with specific facts/statistics
- Self-contained answer blocks (can be extracted without context)
- Direct answer in first 40-60 words of section
- Claims attributed with specific sources
- Definitions following "X is..." or "X refers to..." patterns
- Unique data points not found elsewhere
- Clean H1->H2->H3 heading hierarchy
- Question-based headings (matches query patterns)
- Short paragraphs (2-4 sentences)
- Ordered/unordered lists for step-by-step or multi-item content
- FAQ sections with clear Q&A format
- Wall of text with no structure

## Decision Points And Nuance
The original skill emphasizes: Primary Source: Google's AI Optimization Guide, Key Statistics, Critical Insight: Brand Mentions > Backlinks, GEO Analysis Criteria (Updated), Citability Score (25%), Structural Readability (20%), Multi-Modal Content (15%), Authority & Brand Signals (20%), Technical Accessibility (20%), AI Crawler Detection.

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- **AI crawlers do NOT execute JavaScript.** Server-side rendering is critical.
- | URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again. |
- **Eligibility floor:** a page must be **indexed and eligible to be shown with
- The myth-busting section (most important)
- Google explicitly says you **do NOT need to**:
- > OtterlyAI server-log audit). Both files must stay aligned.
- background pages required for YMYL.
- Google's listed warning signs to self-audit against:

## Copy-And-Paste Prompt
```text
Use the AI search / GEO optimization (may 2026) human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the agricidaniel/claude-seo skill entry for `seo-geo`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# AI Search / GEO Optimization (May 2026)

## Primary Source: Google's AI Optimization Guide

Google's official position, published under Search Central docs:

> "Optimizing for generative AI search is **still SEO** from Google's
> perspective. AEO and GEO are rebranded labels for the same work."

Read `references/google-ai-optimization-guide.md` for the full synthesis,
myth-busting list (`llms.txt`, chunking, AI-rephrasing, mention-farming,
all rejected by Google as ineffective), and the Who/How/Why test for
content quality.

Audits should frame GEO findings as **SEO fundamentals applied to AI-search
surfaces**, not as a separate optimization discipline. When community
recommendations contradict Google's primary source, defer to Google and note
the contradiction in the report.

## Key Statistics

| Metric | Value | Source |
|--------|-------|--------|
| AI Overviews reach | 2.5 billion+ monthly active users, reported from Google I/O 2026 keynote coverage; not confirmed on a Google-owned source; 200+ countries | Third-party I/O reporting |
| AI Overviews query coverage | ~50% of queries (third-party measurement; varies by country) | Industry data |
| AI Mode monthly users | 1B+, reported from Google I/O 2026 keynote coverage; not confirmed on a Google-owned source | Third-party I/O reporting |
| AI Mode model | custom version of Gemini 2.5 | Google |
| AI-referred sessions growth | 527% (Jan-May 2025) | SparkToro |
| ChatGPT weekly active users | 900 million | OpenAI |
| Perplexity monthly queries | 500+ million | Perplexity |

## Critical Insight: Brand Mentions > Backlinks

**Brand mentions correlate 3x more strongly with AI visibility than backlinks.**
(Ahrefs December 2025 study of 75,000 brands)

| Signal | Correlation with AI Citations |
|--------|------------------------------|
| YouTube mentions | ~0.737 (strongest) |
| Reddit mentions | High |
| Wikipedia presence | High |
| LinkedIn presence | Moderate |
| Domain Rating (backlinks) | ~0.266 (weak) |

**Only 11% of domains** are cited by both ChatGPT and Google AI Overviews for the same query, so platform-specific optimization is essential.

---

## GEO Analysis Criteria (Updated)

### 1. Citability Score (25%)

**Optimal passage length: 134-167 words** for AI citation. And **~44% of AI
citations come from the first 30% of a page** (SE Ranking study), front-load
your most citable, self-contained answer rather than burying it below the fold.

**Strong signals:**
- Clear, quotable sentences with specific facts/statistics
- Self-contained answer blocks (can be extracted without context)
- Direct answer in first 40-60 words of section
- Claims attributed with specific sources
- Definitions following "X is..." or "X refers to..." patterns
- Unique data points not found elsewhere

**Weak signals:**
- Vague, general statements
- Opinion without evidence
- Buried conclusions
- No specific data points

### 2. Structural Readability (20%)

**92% of AI Overview citations come from top-10 ranking pages**, but 47% come from pages ranking below position 5, demonstrating different selection logic.

**Strong signals:**
- Clean H1->H2->H3 heading hierarchy
- Question-based headings (matches query patterns)
- Short paragraphs (2-4 sentences)
- Tables for comparative data
- Ordered/unordered lists for step-by-step or multi-item content