Geo Content Optimizer

GEO Content Optimizer

Optimizes content for AI-generated answers and citation surfaces such as ChatGPT, Perplexity, Gemini, Claude, and AI Overviews.

What This Skill Does

Improves structure, authority signals, factual density, quotable statements, source attribution, and overall GEO readiness.

Quick Start

Optimize this content for GEO/AI citations: [content or URL]
Make this article more likely to be cited by AI systems
Write content about [topic] optimized for both SEO and GEO
Audit this content for GEO readiness and suggest improvements
AI Overview is eating clicks on 12 head queries — build a recovery plan

See AI Overview Recovery for the 4-phase playbook (measure → diagnose → rewrite → monitor) tailored to recovery scenarios (as opposed to generic GEO optimization).

Skill Contract

Expected output: a ready-to-use asset or implementation-ready transformation plus a short handoff summary ready for memory/content/.

• Reads: the brief, target keywords, entity inputs, and quality constraints. Canonical entity profiles: if the content mentions a brand / person / product, this skill MUST consult memory/entities/<slug>.md (per the entity-geo handoff schema) to populate display_name, description_short, ai_resolution_status and decide whether disambiguation boilerplate is needed. If the profile is missing or stale (>90 days), declare DONE_WITH_CONCERNS and recommend entity-optimizer as an open loop.
• Writes: a user-facing content, metadata, or schema deliverable plus a reusable summary that can be stored under memory/content/.
• Promotes: approved angles, messaging choices, missing evidence, and publish blockers to memory/hot-cache.md and memory/open-loops.md; propose durable decisions as pending-decision items.
• Done when: each target AI query has a standalone, quotable answer block; a before/after GEO score and AI Query Coverage are reported; and the CORE-EEAT GEO self-check (C02, O03, O05, E01) has no unaddressed Fail.
• Primary next skill: use the Next Best Skill below when the asset is ready for review or deployment.

Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

Use ~~AI monitor and ~~SEO tool when connected; otherwise ask for target queries, content, engines, competitor examples, and known AI-citation gaps. See CONNECTORS.md.

Instructions

When a user requests GEO optimization, run these five steps:

1. Load CORE-EEAT GEO-First Targets — prioritize C02, C09, O03, O05, E01, O02 plus engine-specific preferences. 2. Analyze Current Content — score clear definitions, quotable statements, factual density, source citations, Q&A format, authority signals, freshness, and structure clarity. 3. Apply GEO Techniques — add standalone 25-50 word definitions, sourced quotable statements, expert/source signals, Q&A/tables/lists, specific data, and visible-content-matching FAQ schema. 4. Generate GEO Output — report Changes Made, before/after GEO score, and AI Query Coverage. 5. CORE-EEAT GEO Self-Check — verify C02, C04, C09, O02, O03, O05, O06, R01, R02, R04, R07, E01, Exp10, Ept08 with Pass/Warn/Fail.

Label every metric Measured (tool/export), User-provided, or Estimated (model inference); never present an estimate as measured; if a required metric is unavailable, mark it N/A — do not invent it.

Reference: See Instructions Detail for the full CORE-EEAT GEO target tables, AI engine preferences, analysis templates, optimization report template, self-check matrix, and examples.

Example

User: "Optimize this paragraph for GEO: 'Email marketing is a good way to reach customers. It's been around for a while and many businesses use it.'"

Output adds a clear definition, dated/source-backed facts, structured list, quotable statements, and a before/after GEO score. See the full pattern in Instructions Detail — Example.

GEO Optimization Checklist

Reference: See the GEO Readiness Checklist in GEO Optimization Techniques for the full checklist covering definitions, quotable content, authority, structure, and technical elements.

Tips for Success

Answer first, be specific, cite dated sources, stay current, match query format, and build authority. Full list in Instructions Detail — Tips for Success.

Save Results

On user confirmation, save to memory/content/YYYY-MM-DD-<topic>.md — see Skill Contract §Save Results Template.

Reference Materials

• Instructions Detail - Full 5-step workflow, CORE-EEAT GEO targets, self-check matrix, worked example, tips
• GEO Optimization Techniques - Detailed before/after examples, templates, and checklists for each technique
• AI Citation Patterns - How Google AI Overviews, ChatGPT, Perplexity, and Claude select and cite sources
• Quotable Content Examples - Before/after examples of content optimized for AI citation

Next Best Skill

• Primary: content-quality-auditor — verify the optimized content is strong enough to ship and cite.

AI Citation Patterns

Heuristic patterns for AI visibility work, not a sourced live benchmark; validate with dated observations before making platform-specific claims.

AI System Comparison

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Universal Citation Factors

Content quality: Factual accuracy, clear unambiguous language, comprehensive coverage, up-to-date information.

Structure: Scannable format (headings, lists, tables), logical organization, short paragraphs, clear visual hierarchy.

Authority: Domain credibility, author credentials, source citations in content, E-E-A-T signals.

Relevance: Precise match to query intent, topic focus, depth of coverage on specific topic.

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Optimal Content Structures for Citation

Definition Blocks

**[Term]** is [clear category] that [primary function], [key characteristic].

Why: Standalone, complete, unambiguous, proper scope.

Statistic Blocks

According to [Source], [specific statistic] as of [timeframe].

Why: Specific, attributed, recent, verifiable.

Q&A Pairs

Use exact question as H2/H3, answer in 40-60 words, then optional supporting detail. Matches AI query patterns directly.

Comparison Tables

Structured rows with specific values, clear labels, and "Best for" recommendations. AI systems parse and cite these readily.

Step-by-Step Processes

Numbered lists with bold action headers and brief explanations. Clear process, actionable, logical sequence.

Key Insight Callouts

> **Key insight**: [Memorable, quotable statement with attribution] Visually distinct, authoritative, quotable.

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Citation Likelihood Factors

High likelihood: Authority domain, updated within 12 months, clear standalone statements, specific statistics with dates, structured with headings/lists/tables, comprehensive coverage, author credentials visible, consensus with other sources.

Low likelihood: Unknown domain, 3+ years old without updates, vague statements, no sources cited, walls of text, thin coverage, promotional tone, factual inconsistencies.

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Optimization by Query Type

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Optimization Checklist

Content ready for AI citation should have:

• [ ] At least 3 clear, quotable definitions
• [ ] 5+ specific statistics with sources and dates
• [ ] Q&A format sections covering top queries
• [ ] Comparison tables where relevant
• [ ] Numbered lists for processes
• [ ] Updated within 12 months
• [ ] Author credentials visible
• [ ] External citations to authoritative sources
• [ ] Clear H2/H3 headings
• [ ] Short paragraphs (2-4 sentences)
• [ ] No promotional language

AI Overview Recovery Playbook

Referenced from SKILL.md. Use when AI Overviews are diverting traffic away from your pages.

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Symptom profile

• Organic CTR on >=5 queries dropped 20-60% in a 2-4 week window
• SERP screenshots show AI Overview block above organic results
• Impressions stayed flat or rose; clicks fell
• Page still ranks top-3 organically but gets fewer clicks

Phase 1 — Measure the damage

1.1 Identify affected queries

From ~~search console: filter last 28d vs previous 28d, export queries with CTR change < -20% AND impressions change > -10%. Flag top 20 queries by click loss.

1.2 Confirm AI Overview is the cause

For each target query (incognito, location-matched): Is AI Overview present? Does it cite your page? Visible or hidden citation? How many organic results above fold?

1.3 Segment the 20 queries

Focus on segments B and C.

Phase 2 — Diagnose why AI Overview skipped you

2.1 Answerability check

• [ ] First 100 words contain a direct answer (not just the keyword)?
• [ ] Single <h2>/<h3> rephrases the query as a statement?
• [ ] 3-5 ordered points answering sub-questions?
• [ ] Answer is quote-able — standalone sentence that makes sense out of context?

2.2 Freshness check

• [ ] Last-updated date visible in HTML and rendered
• [ ] Published/updated within last 12 months
• [ ] Statistics with year qualifier: "In 2026, X..."
• [ ] Reference links to pages updated in last 12 months

2.3 Authority check (E-E-A-T)

• [ ] Author bio visible with credentials
• [ ] Author's Knowledge Graph entity exists
• [ ] External citations from authoritative sources
• [ ] Brand entity recognized by Wikidata / Google KG (see entity-optimizer)

2.4 Structural / crawlability check

• [ ] Content rendered in initial HTML (not post-hydration)
• [ ] robots.txt allows Googlebot; do not require Google-Extended unless the site intentionally allows Google AI training/product use
• [ ] Schema present: Article / HowTo / FAQPage
• [ ] No paywall blocking first answer

Phase 3 — Rewrite targets

3.1 Answer-first rewrite template

**[Direct query-answering sentence in <=30 words.]**
[2-sentence expansion with key specifics — numbers, proper nouns, date.]
[Transition sentence.]
[Jump-linked TOC or 3-5 H2s covering sub-questions.]

3.2 Quotable-chunk insertion

Add 2-3 standalone sentences (<=30 words each) containing a specific number/year/qualified claim, flanked by attribution.

3.3 FAQ appendix

Append <h2>FAQ</h2> with 6-10 PAA-matching questions. Each answer 40-60 words. Mark up with FAQPage schema.

3.4 Citation-bait structured data

Add one of: Dataset (survey/benchmark data), HowTo (step-by-step), Review with aggregateRating, Article with author linked to KG entity.

Phase 4 — Monitor recovery (T+7, T+14, T+28)

• T+7: SERP AI Overviews changed? (often no)
• T+14: 2-3 pages appearing in citations?
• T+28: CTR recovered to >50% of pre-drop baseline?

If no recovery at T+28:

• Segment C: run competitor-analysis on cited page
• Segment B: query likely answered from training data; shift to long-tail + adjacent queries

Red flags — stop and re-scope

• AI Overviews affecting queries you shouldn't target — that traffic wasn't valuable
• AI Overviews cite 3+ competitors and you're DR <30 — run entity-optimizer first
• AI Overviews on branded queries cite competitor comparisons — knowledge-graph gap; hand to entity-optimizer

Handoff

• Status: DONE | DONE_WITH_CONCERNS
• Objective: "AI Overview recovery plan for [N] affected queries"
• Key Findings / Output: segmentation table, per-query rewrite priority, estimated recovery timeline
• Evidence: GSC export ref, SERP screenshots, pre/post CTR deltas
• Open Loops: monitoring windows (T+7/14/28), pages pending rewrite, entity gaps
• Recommended Next Skill: content-refresher, entity-optimizer, rank-tracker

See also

• entity-optimizer
• content-refresher
• technical-seo-checker LLM crawler guide

GEO Optimization Techniques

Definition Optimization

Template: "[Term] is [category] that [primary function], [key characteristic]."

Before: "SEO is really important for businesses and involves various techniques..." After: "Search Engine Optimization (SEO) is the practice of optimizing websites and content to rank higher in SERPs, increasing organic traffic and visibility."

Checklist:

• [ ] Starts with the term being defined
• [ ] Provides clear category
• [ ] Explains primary function
• [ ] Precise, unambiguous language
• [ ] Can stand alone as a complete answer
• [ ] 25-50 words for optimal citation length

Quotable Statement Optimization

Types of Quotable Statements: 1. Statistics — specific numbers, cite source, add context (timeframe, comparison) 2. Facts — verifiable, unambiguous, authoritative source 3. Definitions — (see above) 4. Comparisons — "Unlike [A], [B] [specific difference], which means [implication]." 5. How-to Steps — numbered, action-oriented

Authority Signal Enhancement

Authority Elements:

• [ ] Author byline with credentials
• [ ] Expert quotes with attribution
• [ ] Citations to peer-reviewed research
• [ ] References to recognized authorities
• [ ] Original data or research
• [ ] Case studies with named companies
• [ ] Industry statistics with sources

Structure Optimization for GEO

Q&A Format:

<h2>What is [Topic]?</h2>
<p>[Direct answer in 40-60 words]</p>
<h2>How does [Topic] work?</h2>
<p>[Clear explanation with steps if applicable]</p>

Comparison Tables:

Numbered Lists for process queries: 1. Step 1: [Action] - [Brief explanation] 2. Step 2: [Action] - [Brief explanation]

Definition Boxes: > **Key Definition**: [Term] refers to [clear definition].

Factual Density Improvement

Factual Enhancement Checklist:

• [ ] Add specific statistics with sources
• [ ] Include exact dates, numbers, percentages
• [ ] Replace vague claims with verified facts
• [ ] Add recent data (within last 2 years)
• [ ] Include multiple data points per section
• [ ] Cross-reference with authoritative sources

FAQ Optimization for GEO

FAQ Structure:

[Question matching common query]?

[Direct answer: 40-60 words] [Supporting detail or example]

FAQ Schema (JSON-LD):

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "[Question text]",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "[Answer text]"
    }
  }]
}

GEO Readiness Checklist

Definitions & Clarity

• [ ] Key terms clearly defined
• [ ] Definitions can stand alone as answers
• [ ] Language is precise and unambiguous

Quotable Content

• [ ] Specific statistics included
• [ ] Facts have source citations
• [ ] Memorable statements created

Authority

• [ ] Expert quotes or credentials present
• [ ] Authoritative sources cited
• [ ] Original data or research included

Structure

• [ ] Q&A format sections included
• [ ] Clear headings match common queries
• [ ] Comparison tables where relevant
• [ ] Numbered lists for processes

Technical

• [ ] FAQ schema markup added
• [ ] Content freshness indicated
• [ ] Sources are verifiable

GEO Content Optimizer — Detailed Instructions

Compact workflow, GEO-first CORE-EEAT targets, scoring templates, and example output for the GEO Content Optimizer skill.

Step 1: Load GEO-First Targets

Prioritize these CORE-EEAT items first:

Full GEO-First set: C02, C04, C05, C07, C08, C09 | O02, O03, O04, O05, O06, O09 | R01, R02, R03, R04, R05, R07, R09 | E01, E02, E03, E04, E06, E08, E09, E10 | Exp10 | Ept05, Ept08 | A08

Engine-specific emphasis:

Step 2: Analyze Current Content

## GEO Analysis: [Content Title]

| GEO Factor | Current Score (1-10) | Notes |
|------------|----------------------|-------|
| Clear definitions | [X] | [notes] |
| Quotable statements | [X] | [notes] |
| Factual density | [X] | [notes] |
| Source citations | [X] | [notes] |
| Q&A format | [X] | [notes] |
| Authority signals | [X] | [notes] |
| Content freshness | [X] | [notes] |
| Structure clarity | [X] | [notes] |

**Primary Weaknesses**: [1], [2], [3]
**Quick Wins**: [1], [2]

Step 3: Apply GEO Optimization Techniques

Use these six techniques:

• Definition optimization: 25-50 words, standalone, starts with the term
• Quotable statements: specific facts or stats with sources
• Authority signals: expert quotes, credentials, citations
• Structure optimization: Q&A, tables, numbered lists
• Factual density: replace vague claims with verifiable specifics
• FAQ schema: JSON-LD that matches visible FAQ content

Step 4: Generate GEO-Optimized Output

## GEO Optimization Report

### Changes Made
- Definitions added or improved
- Quotable statements created
- Authority signals added
- Structural changes applied

### Before / After GEO Score
| GEO Factor | Before | After | Change |
|------------|--------|-------|--------|
| Clear definitions | [X] | [X] | +[X] |
| Quotable statements | [X] | [X] | +[X] |
| Factual density | [X] | [X] | +[X] |
| Source citations | [X] | [X] | +[X] |
| Q&A format | [X] | [X] | +[X] |
| Authority signals | [X] | [X] | +[X] |
| Overall GEO Score | [X]/10 | [X]/10 | +[X] |

### AI Query Coverage
- "What is [topic]?"
- "How does [topic] work?"
- "[topic] vs [alternative]"

Step 5: CORE-EEAT GEO Self-Check

Verify these 14 items:

Example

User: "Optimize this paragraph for GEO: 'Email marketing is a good way to reach customers...'"

Output summary:

• Adds a precise definition
• Replaces vague claims with sourced stats
• Introduces quotable bullet points
• Improves structure for AI extraction
• Moves GEO score from 1/10 to 8/10

Tips for Success

Answer first, be specific, cite sources, stay current, and optimize for the exact query shape users ask.

Quotable Content Examples

Pattern cards for turning generic prose into AI-citable content. Use current, verified sources; replace all placeholders before publishing.

Transformation Patterns

Copy-Start Blocks

Definition

**[Topic]** is [category] that [function] for [audience/use case]. According to [Source] ([publication date]), [specific statistic]. This matters because [plain-language implication].

Statistic

[Metric] changed from [baseline] to [current value] over [timeframe], according to [Source] ([date]). The change indicates [interpretation] for [audience/use case].

Process

To [achieve outcome]:
1. [Action with input]
2. [Action with tool/evidence]
3. [Action with decision rule]
4. [Action with validation]

Expected effort: [time/range]. Success indicator: [metric or threshold].

Comparison

| Factor | [Option A] | [Option B] |
|--------|------------|------------|
| Best for | [use case] | [use case] |
| Setup effort | [range] | [range] |
| Cost model | [model] | [model] |
| Main limitation | [limitation] | [limitation] |

Choose [A] if [condition]. Choose [B] if [condition].

Case Study

**Case Study: [Outcome] in [Timeframe]**
Baseline: [starting metric].
Actions: [action 1], [action 2], [action 3].
Results: [metric] -> [metric] ([delta]); [secondary metric] -> [secondary metric].
Transferable insight: [what others can reuse].

Quick Quotability Test

Content is highly quotable when it:

1. Stands alone without surrounding context. 2. Includes specific numbers or thresholds where relevant. 3. Names a source and publication date for factual claims. 4. Uses precise, unambiguous wording. 5. Would pass expert review. 6. Is structured for scanning. 7. Is current or explicitly labeled historical. 8. Can be verified. 9. Is specific to a use case. 10. Fully answers one question.