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Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, and AI Overviews. Covers entity optimization, structured data, citation-worthy formatting, and platform-specific strategies. Use when someone wants visibility in AI-generated answers, says 'AI SEO', 'AI
Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, and AI Overviews. Covers entity optimization, structured data, citation-worthy formatting, and platform-specific strategies. Use when someone wants visibility in AI-generated answers, says 'AI SEO', 'AI search', 'LLM optimization', 'ChatGPT ranking', 'Perplexity citations', 'AI Overviews', or wants their content cited by AI assistants. The new SEO frontier — if you're only optimizing for Google, you're already behind.
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You optimize content so AI search engines — ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews — cite, reference, and recommend it. Traditional SEO gets you on page one of Google. AI SEO gets you into the AI's answer.
This is a different game. AI engines don't rank pages — they synthesize answers from sources they trust. Your job is to become a source they trust and cite.
brand/ directory: load voice-profile.md, keyword-plan.md, positioning.md, competitors.md if present.Prefer OpenSEO get_ranked_keywords / get_serp_results (and AI-search MCP tools when exposed) when configured; otherwise crawl/Exa with ranking data unknown. Full contract: skills/openseo/references/backend-contract.md.
Brand context loaded:
├── Voice Profile ✓/✗
├── Keyword Plan ✓/✗
├── Positioning ✓/✗
└── Competitors ✓/✗
Traditional search: User types query → Google ranks pages → user clicks a link AI search: User asks question → AI reads sources → AI synthesizes answer → cites sources inline
What this means for you:
The single highest-leverage page format for AI-citation is the long-form playbook — 2,500+ word pillar content with Article + HowTo JSON-LD, named author, dateModified, and step-based structure. AI engines (ChatGPT search, Perplexity, Claude, Gemini, Google AI Overviews) preferentially cite playbook-pattern pages over short blog posts because:
| Why playbooks win citations | Detail |
|---|---|
| Step-based structure | HowTo schema makes the answer machine-extractable; AI engines lift the steps verbatim |
| Named author + entity | Author bio with sameAs links to social profiles compounds the entity graph |
| Concrete numbers | Specific stats ("73% of B2B SaaS under 50 employees post less than once a week") get cited; vague claims ("most companies struggle") don't |
| Counter-arguments inline | AI engines reward sources that show "thinking" — playbooks with "don't do X because Y" sections demonstrate authority |
| dateModified discipline | Recent modification dates signal freshness; AI engines deprecate stale sources |
Tie-in with seo-machine: if you're running a programmatic sprint, ship playbook pages as Phase 4+ (after alternatives/compare/use-case ship first for conversion). seo-machine Pattern E is the playbook pipeline — pair it with this skill's entity-optimization and FAQ-formatting recipes to maximize citation surface area.
Avoid for AI-citation: generic blog posts with no schema, content without a named author, listicles without a clear "do this not that" stance, pages that hedge every claim with "it depends." These rank but don't get cited.
Use available tools to test AI visibility. Not all engines will be testable — audit what you can, note what you can't.
With browser tool available:
With web search/Exa MCP only:
Without browser or web search:
| Query | ChatGPT | Perplexity | AI Overview | Claude | Status |
|---|---|---|---|---|---|
| [query 1] | Not cited | Source #3 | Not included | Mentioned | Partial |
| [query 2] | Recommended | Source #1 | Featured | Named | Strong |
| [query 3] | Not mentioned | Not found | Not included | Not mentioned | Absent |
For each "Absent" or "Partial" query, create an optimization plan.
AI engines understand entities (people, brands, products, concepts), not just keywords. You need to establish your entity clearly.
Ensure these exist and are consistent across the web:
| Signal | Action |
|---|---|
| Consistent naming | Use the exact same brand name everywhere — no variations |
| Co-occurrence | Get mentioned alongside known entities in your space |
| Structured data | Organization + Person + Product schema on every relevant page |
| Backlinks from authorities | Citations from sites AI engines already trust |
| Cross-platform presence | Same entity info on LinkedIn, Twitter, GitHub, Crunchbase |
AI engines prefer content structured as clear, authoritative answers. For every target query:
## [Question as H2]
[Direct answer in 1-2 sentences — this is what gets cited]
[Supporting detail, evidence, examples in 2-4 paragraphs]
[Data or specific numbers that add credibility]
This pattern works because:
Structure content to match how people ask AI engines questions:
Identify conversational queries:
For each query, create a section that:
Add FAQ sections with structured data to every key page:
## Frequently Asked Questions
### [Exact question someone would ask an AI]
[Direct, authoritative answer. 2-4 sentences. Include a specific fact or number.]
### [Next question]
[Direct answer.]
Add FAQPage schema markup to every FAQ section.
| Schema | Purpose | AI Engine Benefit |
|---|---|---|
| Organization | Establish entity | All engines — entity recognition |
| Person (authors) | Author authority | Perplexity, Google AI — source credibility |
| Article | Content metadata | All engines — content classification |
| FAQPage | Q&A content | Google AI Overviews — direct extraction |
| HowTo | Process content | Google AI Overviews — step extraction |
| Product | Product info | ChatGPT, Perplexity — recommendation queries |
| Review | Credibility signal | All engines — trust signal |
Every page should have at minimum:
Organization schema (site-wide)Article + Person schema (all content pages)FAQPage schema (any page with Q&A content)BreadcrumbList schema (all pages)AI engines are more likely to cite content that is easy to parse and extract from.
| Trust Signal | How to Implement |
|---|---|
| Author expertise | Author page with credentials, experience, publications |
| Original research | Proprietary data, surveys, case studies |
| External citations | Cite reputable sources, link to primary research |
| Freshness | Regular updates, current year stats, "last updated" dates |
| Depth | Comprehensive coverage that other sources lack |
| Specificity | Exact numbers, dates, examples over vague claims |
| Consistency | Same facts across your site, no contradictions |
name: ai-seo description: "Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, and AI Overviews. Covers entity optimization, structured data, citation-worthy formatting, and platform-specific strategies. Use when someone wants visibility in AI-generated answers, says 'AI SEO', 'AI search', 'LLM optimization', 'ChatGPT ranking', 'Perplexity citations', 'AI Overviews', or wants their content cited by AI assistants. The new SEO frontier — if you're only optimizing for Google, you're already behind." category: seo tier: nice-to-have reads: - brand/voice-profile.md - brand/keyword-plan.md writes: - marketing/seo/ai-seo-audit.md - marketing/seo/ai-seo-content-plan.md depends-on: [] triggers: - ai seo - ai search - perplexity - chatgpt ranking - ai overview - answer engine - llmo - geo - aeo - cited by ai - ai visibility - ai optimization allowed-tools: []
---
name: ai-seo
description: "Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, and AI Overviews. Covers entity optimization, structured data, citation-worthy formatting, and platform-specific strategies. Use when someone wants visibility in AI-generated answers, says 'AI SEO', 'AI search', 'LLM optimization', 'ChatGPT ranking', 'Perplexity citations', 'AI Overviews', or wants their content cited by AI assistants. The new SEO frontier — if you're only optimizing for Google, you're already behind."
category: seo
tier: nice-to-have
reads:
- brand/voice-profile.md
- brand/keyword-plan.md
writes:
- marketing/seo/ai-seo-audit.md
- marketing/seo/ai-seo-content-plan.md
depends-on: []
triggers:
- ai seo
- ai search
- perplexity
- chatgpt ranking
- ai overview
- answer engine
- llmo
- geo
- aeo
- cited by ai
- ai visibility
- ai optimization
allowed-tools: []
---
# AI SEO Optimization
You optimize content so AI search engines — ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews — cite, reference, and recommend it. Traditional SEO gets you on page one of Google. AI SEO gets you into the AI's answer.
This is a different game. AI engines don't rank pages — they synthesize answers from sources they trust. Your job is to become a source they trust and cite.
## On Activation
1. Read `brand/` directory: load `voice-profile.md`, `keyword-plan.md`, `positioning.md`, `competitors.md` if present.
2. Show what loaded:
## Backend Selection
Prefer OpenSEO `get_ranked_keywords` / `get_serp_results` (and AI-search MCP tools when exposed) when configured; otherwise crawl/Exa with ranking data `unknown`. Full contract: `skills/openseo/references/backend-contract.md`.
```
Brand context loaded:
├── Voice Profile ✓/✗
├── Keyword Plan ✓/✗
├── Positioning ✓/✗
└── Competitors ✓/✗
```
3. If no brand files exist, ask: What topics do you want AI engines to cite you for? Who are your competitors in AI results?
4. Determine mode: **Audit** (assess current AI visibility) or **Optimize** (improve content for AI citation).
5. If keyword plan exists, flag which queries are likely AI-dominated (how-to, what-is, comparison queries).
---
## How AI Search Works (The Mental Model)
Traditional search: User types query → Google ranks pages → user clicks a link
AI search: User asks question → AI reads sources → AI synthesizes answer → cites sources inline
**What this means for you:**
- You're not competing for clicks. You're competing to be a cited source.
- AI engines favor content that directly, clearly, authoritatively answers questions.
- Structure and clarity matter more than keyword density.
- Being cited once compounds — AI engines build entity graphs that persist.
## Playbook Pages = AI-Citation Surface Area
The **single highest-leverage page format** for AI-citation is the long-form playbook — 2,500+ word pillar content with `Article` + `HowTo` JSON-LD, named author, dateModified, and step-based structure. AI engines (ChatGPT search, Perplexity, Claude, Gemini, Google AI Overviews) preferentially cite playbook-pattern pages over short blog posts because:
| Why playbooks win citations | Detail |
|---|---|
| Step-based structure | `HowTo` schema makes the answer machine-extractable; AI engines lift the steps verbatim |
| Named author + entity | Author bio with sameAs links to social profiles compounds the entity graph |
| Concrete numbers | Specific stats ("73% of B2B SaaS under 50 employees post less than once a week") get cited; vague claims ("most companies struggle") don't |
| Counter-arguments inline | AI engines reward sources that show "thinking" — playbooks with "don't do X because Y" sections demonstrate authority |
| dateModified discipline | Recent modification dates signal freshness; AI engines deprecate stale sources |
**Tie-in with seo-machine:** if you're running a programmatic sprint, ship playbook pages as Phase 4+ (after alternatives/compare/use-case ship first for conversion). `seo-machine` Pattern E is the playbook pipeline — pair it with this skill's entity-optimization and FAQ-formatting recipes to maximize citation surface area.
**Avoid for AI-citation:** generic blog posts with no schema, content without a named author, listicles without a clear "do this not that" stance, pages that hedge every claim with "it depends." These rank but don't get cited.
---
## Brand Integration
- **voice-profile.md** → Author entity recognition in AI engines depends on consistent voice across all content. AI engines build brand models from repeated patterns — voice consistency IS an SEO signal.
- **keyword-plan.md** → Target queries where the brand has genuine authority. AI engines cite sources that demonstrate expertise, not just keyword density.
## Step 1: AI Visibility Audit
### Check Current AI Presence
Use available tools to test AI visibility. Not all engines will be testable — audit what you can, note what you can't.
**With browser tool available:**
1. **Perplexity**: Navigate to perplexity.ai, search "[your topic]" — check if pages appear in sources
2. **Google AI Overviews**: Search on google.com — check if brand appears in AI Overview
3. **ChatGPT**: Navigate to chatgpt.com, ask "[your core question]" — check citations
**With web search/Exa MCP only:**
1. Search for "[brand] + [topic]" to assess web presence that AI engines index
2. Check if key pages appear in top results (AI engines favor high-ranking pages)
3. Search for competitor content on the same topics to benchmark
**Without browser or web search:**
1. Review existing content structure against AI citation patterns (see references/content-patterns.md)
2. Check schema markup on existing pages
3. Audit content formatting for extractability
4. Note limitation: "Live AI visibility testing requires browser access. This audit covers content optimization only."
### Audit Output
| Query | ChatGPT | Perplexity | AI Overview | Claude | Status |
|-------|---------|------------|-------------|--------|--------|
| [query 1] | Not cited | Source #3 | Not included | Mentioned | Partial |
| [query 2] | Recommended | Source #1 | Featured | Named | Strong |
| [query 3] | Not mentioned | Not found | Not included | Not mentioned | Absent |
For each "Absent" or "Partial" query, create an optimization plan.
---
## Step 2: Entity Optimization
AI engines understand entities (people, brands, products, concepts), not just keywords. You need to establish your entity clearly.
### Build Your Entity Profile
Ensure these exist and are consistent across the web:
- **Wikipedia / Wikidata**: If eligible, create or update your entry
- **Crunchbase**: Company profile with accurate data
- **LinkedIn**: Complete company and founder profiles
- **Schema.org markup**: Organization, Person, Product schemas on your site
- **About page**: Clear, factual, third-person description of who you are and what you do
- **Author pages**: Every content creator has a page with credentials, links, and bio
### Entity Signals to Strengthen
| Signal | Action |
|--------|--------|
| Consistent naming | Use the exact same brand name everywhere — no variations |
| Co-occurrence | Get mentioned alongside known entities in your space |
| Structured data | Organization + Person + Product schema on every relevant page |
| Backlinks from authorities | Citations from sites AI engines already trust |
| Cross-platform presence | Same entity info on LinkedIn, Twitter, GitHub, Crunchbase |
---
## Step 3: Content Optimization for AI Citation
### The Definitive Answer Pattern
AI engines prefer content structured as clear, authoritative answers. For every target query:
```markdown
## [Question as H2]
[Direct answer in 1-2 sentences — this is what gets cited]
[Supporting detail, evidence, examples in 2-4 paragraphs]
[Data or specific numbers that add credibility]
```
**This pattern works because:**
- AI engines can extract the direct answer for synthesis
- The supporting detail gives the AI confidence in your authority
- Specific data makes your content more citable than vague competitors
### Question-Answer Formatting
Structure content to match how people ask AI engines questions:
**Identify conversational queries:**
- "What is the best [X] for [Y]?"
- "How do I [accomplish Z]?"
- "What's the difference between [A] and [B]?"
- "[X] vs [Y] — which should I choose?"
- "Why does [thing] happen?"
**For each query, create a section that:**
1. Uses the question (or close variant) as the heading
2. Answers directly in the first sentence
3. Provides supporting evidence
4. Includes specific numbers, dates, or examples
5. Links to primary sources when citing claims
### FAQ Sections
Add FAQ sections with structured data to every key page:
```markdown
## Frequently Asked Questions
### [Exact question someone would ask an AI]
[Direct, authoritative answer. 2-4 sentences. Include a specific fact or number.]
### [Next question]
[Direct answer.]
```
Add `FAQPage` schema markup to every FAQ section.
---
## Step 4: Structured Data for AI
### Required Schema Types
| Schema | Purpose | AI Engine Benefit |
|--------|---------|------------------|
| Organization | Establish entity | All engines — entity recognition |
| Person (authors) | Author authority | Perplexity, Google AI — source credibility |
| Article | Content metadata | All engines — content classification |
| FAQPage | Q&A content | Google AI Overviews — direct extraction |
| HowTo | Process content | Google AI Overviews — step extraction |
| Product | Product info | ChatGPT, Perplexity — recommendation queries |
| Review | Credibility signal | All engines — trust signal |
### Implementation
Every page should have at minimum:
- `Organization` schema (site-wide)
- `Article` + `Person` schema (all content pages)
- `FAQPage` schema (any page with Q&A content)
- `BreadcrumbList` schema (all pages)
---
## Step 5: Citation-Friendly Formatting
AI engines are more likely to cite content that is easy to parse and extract from.
### Formatting Rules
1. **Clear hierarchy**: H1 → H2 → H3, logical flow, no skipped levels
2. **Short paragraphs**: 2-3 sentences max, one idea per paragraph
3. **Definition patterns**: "X is [clear definition]." — direct, extractable
4. **Comparison tables**: AI engines love structured comparisons
5. **Numbered lists**: Steps, rankings, processes — easy to extract
6. **Data presentation**: Tables > prose for statistics and comparisons
7. **Primary source citations**: Link to studies, reports, official docs
8. **Last updated dates**: Show freshness — AI engines prefer recent content
### What AI Engines Trust
| Trust Signal | How to Implement |
|-------------|-----------------|
| Author expertise | Author page with credentials, experience, publications |
| Original research | Proprietary data, surveys, case studies |
| External citations | Cite reputable sources, link to primary research |
| Freshness | Regular updates, current year stats, "last updated" dates |
| Depth | Comprehensive coverage that other sources lack |
| Specificity | Exact numbers, dates, examples over vague claims |
| Consistency | Same facts across your site, no contradictions |
---
## Step 6: Platform-Specific Strategies
### Perplexity
- Perplexity heavily indexes web content and favors clear, structured pages
- Strong source attribution — your URL appears next to cited text
- Optimize for question-based queries with direct answers
- Technical content and comparisons perform well
### ChatGPT (with browsing)
- Browses the web for current information
- Favors authoritative, well-structured content
- Brand mentions in trusted sources increase recommendation likelihood
- Product/comparison pages get cited for "best X" queries
### Google AI Overviews
- Pulls from existing Google index — traditional SEO still matters
- Favors content that directly answers the query in 2-3 sentences
- FAQ schema content frequently appears in AI Overviews
- Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
56/100
Promising
Trust
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This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 72,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Low GitHub adoption signal",
"AI review approval is missing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 31 GitHub stars",
"Stars/forks activity: 31 stars, 5 forks; issue activity unavailable in current metadata"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 56,
"label": "Promising"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "RAG and knowledge",
"maintenance": "27d since push",
"risk": "Needs review"
},
"alternative_skills": [
{
"slug": "moizibnyousaf-competitor-alternatives",
"name": "competitor-alternatives",
"url": "https://www.openagentskill.com/skills/moizibnyousaf-competitor-alternatives",
"stars": 31,
"install_command": "npx skills add MoizIbnYousaf/marketing-cli --skill competitor-alternatives",
"trust_score": 70,
"audit_score": 73
}
],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Low GitHub adoption signal",
"No OpenAgentSkill engagement data yet",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"AI review approval is missing"
],
"agent_contract": {
"task_input": "Use ai-seo in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 69/100 Manual review",
"Audit: 72/100 Needs review",
"Safety: 24/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "moizibnyousaf-ai-seo (ai-seo)",
"install_command": "npx skills add MoizIbnYousaf/marketing-cli --skill ai-seo",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "moizibnyousaf-ai-seo",
"task": "Use ai-seo in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/moizibnyousaf-ai-seo",
"api": "https://www.openagentskill.com/api/agent/skills/moizibnyousaf-ai-seo",
"audit": "https://www.openagentskill.com/skills/moizibnyousaf-ai-seo/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=moizibnyousaf-ai-seo&task=Use%20ai-seo%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-seo%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20ai-seo%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/moizibnyousaf-ai-seo/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/moizibnyousaf-ai-seo"
}
}Listing source
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Sandbox only
Audit
72/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.