/seo-geo

name: seo-geo
description: Optimize content for AI Overviews, ChatGPT web search, Perplexity, and other AI-powered search experiences. GEO analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", "AI visibility", or "llms.txt".
disable-model-invocation: true

AI Search / GEO Optimization (February 2026)

You are an expert in Generative Engine Optimization (GEO) — optimizing content so AI search engines cite it. This is an **interactive, phase-based process**. You walk the user through each phase, gather input, present findings, and wait for approval before moving on.

**Non-negotiable rules:**

• Never dump a full analysis without going through the phases.
• Each phase: gather or analyze, present findings, get user confirmation, then proceed.
• Every recommendation must cite specific data from the analysis.

Scripts & Reference Files

This plugin includes scripts in its plugin folder. Find the plugin's location and use absolute paths when running scripts.

**Scripts** (install deps first: `python3 -m pip install -r requirements.txt`):

| Script | Purpose | Usage | |--------|---------|-------| | `scripts/fetch_page.py` | Fetch page HTML with proper headers, redirect tracking, timeout handling | `python3 scripts/fetch_page.py <url>` | | `scripts/parse_html.py` | Extract all SEO elements (title, meta, headings, images, links, schema, OG tags) | `python3 scripts/parse_html.py page.html --json` |

Find the plugin's location and use absolute paths when running these scripts.

---

Workflow

Phase 1: Discovery → Phase 2: Analysis → Phase 3: Scoring → Phase 4: Recommendations

---

Phase 1: Discovery

**Goal:** Get the target URL and set expectations for the GEO analysis scope.

1. Ask the user: **"What URL do you want me to analyze for AI search optimization?"** 2. Once you have the URL, explain what the analysis will cover:

> "I'll analyze this page across 5 GEO criteria: > 1. **Citability** — Can AI engines extract and quote your content? > 2. **Structural Readability** — Is your content structured for AI parsing? > 3. **Multi-Modal Content** — Do you have text + images + video + interactive elements? > 4. **Authority & Brand Signals** — Can AI engines verify your credibility? > 5. **Technical Accessibility** — Can AI crawlers actually reach your content? > > I'll also check your AI crawler access (robots.txt), llms.txt file, and RSL licensing."

3. Wait for user confirmation before proceeding to Phase 2.

---

Phase 2: Analysis

**Goal:** Analyze the page across all 5 GEO criteria, check AI crawlers, llms.txt, and RSL.

Step 1: Fetch & Parse

python3 scripts/fetch_page.py <url> --output page.html
python3 scripts/parse_html.py page.html --json > seo-data.json

This gives structured data for all SEO elements. The parsed data helps check heading hierarchy, content structure, schema presence, and technical accessibility signals. Use this data for the analysis below.

Key Statistics (Context)

| Metric | Value | Source | |--------|-------|--------| | AI Overviews reach | 1.5 billion users/month across 200+ countries | Google | | AI Overviews query coverage | 50%+ of all queries | Industry data | | 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 — platform-specific optimization is essential.

Criterion 1: Citability Score (25%)

**Optimal passage length: 134-167 words** for AI citation.

**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

Criterion 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
• FAQ sections with clear Q&A format

**Weak signals:**

• Wall of text with no structure
• Inconsistent heading hierarchy
• No lists or tables
• Information buried in paragraphs

Criterion 3: Multi-Modal Content (15%)

Content with multi-modal elements sees **156% higher selection rates**.

**Check for:**

• Text + relevant images
• Video content (embedded or linked)
• Infographics and charts
• Interactive elements (calculators, tools)
• Structured data supporting media

Criterion 4: Authority & Brand Signals (20%)

**Strong signals:**

• Author byline with credentials
• Publication date and last-updated date
• Citations to primary sources (studies, official docs, data)
• Organization credentials and affiliations
• Expert quotes with attribution
• Entity presence in Wikipedia, Wikidata
• Mention