Agent skill

Optimize For AI

by galfrevn in galfrevn/apollo

Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews.

MITAuto-check passedMarketing & SEO

Install Optimize For AI

skills CLI
$ npx skills add galfrevn/apollo --skill optimize-for-ai -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install galfrevn/apollo optimize-for-ai --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/galfrevn/apollo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/optimize-for-ai .claude/skills/optimize-for-ai && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
optimize-for-ai
GitHub stars
237
Token cost
~4.3k tokens
SKILL.md length
2,197 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews.

  • Works in 10 steps: Extractability → Quotability → Authority → …
  • The user asks about AI SEO
  • SKILL.md covers The Shift: Ranked vs Cited, Content That Gets Cited, Content-Type Optimization and AI Citation Scoring, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Optimize For AI is an agent skill from galfrevn/apollo. Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Use when the user asks about AI SEO, AISO, getting cited by AI, appearing in AI answers, answer engine optimization, AEO, GEO, LLMO, AI Overviews, zero-click search, or how to appear in ChatGPT/Perplexity results. For traditional SEO, see diagnose-seo.

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering AI search optimization. It works with OpenAI and Perplexity. The repository describes itself as: The open-source brain for physical agentic devices, powered by Cloudflare Workers. The licence is MIT.

When your agent uses it

  • The user asks about AI SEO
  • Getting cited by AI
  • Appearing in AI answers
  • Answer engine optimization

Example prompts

  • “/optimize-for-ai”

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Extractability
  2. Quotability
  3. Authority
  4. Freshness
  5. Entity Clarity
  6. Structure for Extraction
  7. Build Authority Signals
  8. Entity Building
  9. Entity Identity Checklist
  10. Technical Requirements

What it can do on your machine

Read from SKILL.md and the folder at commit c7605d6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • seojuice.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Optimize For AI loads about 4.3k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 2,197 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from galfrevn/apollo at commit c7605d6, republished under its MIT licence (© galfrevn). 2,197 words, ~4,320 tokens.

Download SKILL.mdSave it as .claude/skills/optimize-for-ai/SKILL.md (or your agent's skills folder).
name
optimize-for-ai
description
Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Use when the user asks about AI SEO, AISO, getting cited by AI, appearing in AI answers, answer engine optimization, AEO, GEO, LLMO, AI Overviews, zero-click search, or how to appear in ChatGPT/Perplexity results. For traditional SEO, see diagnose-seo.
metadata.version
1.0.0

Optimize for AI

Optimize for AI search engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews) using citation architecture, E-E-A-T signals, and brand entity building.

The Shift: Ranked vs Cited

Traditional SEO gets you ranked in a list of results. AI SEO gets you cited as a source in AI-generated answers. The difference matters:

  • AI systems select sources based on content quality, structure, and authority — not just ranking position
  • AI Overviews appear in a growing share of Google searches and can significantly reduce website clicks
  • Well-structured, authoritative content gets cited far more often than unstructured content
  • Being cited by AI builds brand trust in a way traditional rankings cannot

Content That Gets Cited

What AI Systems Look For

AI systems extract information from content. The easier it is to extract, the more likely it gets cited:

Definitions and clear statements

  • "X is Y" format — unambiguous, extractable
  • Place definitions early in the content, right after the heading
  • Avoid burying answers in lengthy introductions

Structured data

  • Comparison tables — among the most commonly cited content formats
  • Step-by-step lists
  • Statistical claims with sources
  • Pro/con lists

Original insights

  • Original research and data — unique data earns disproportionate citations
  • Expert quotes with credentials
  • First-hand experience descriptions
  • Counterintuitive findings backed by evidence

Comprehensive coverage

  • Definitive guides that cover a topic end-to-end
  • FAQ sections with direct answers
  • Content that answers follow-up questions proactively
Content Formats That Win (ranked by citation frequency)
FormatWhy It Works
Comparison articlesAI frequently answers "X vs Y" and "best X" queries — structured comparisons are easy to extract
Definitive guidesComprehensive coverage signals authority to AI systems
Original researchUnique data that no one else has — AI systems prefer primary sources
How-to tutorialsStep-by-step structure maps directly to AI response format
Expert roundupsMultiple expert voices increase perceived authority

Content-Type Optimization

Different content types get cited differently. Optimize based on what you're writing:

Comparison / "Best X" Content
  • Lead with a clear verdict or winner in the first 100 words
  • Include a summary comparison table near the top (AI systems extract tables directly)
  • Structure each option with consistent subheadings (Pros, Cons, Pricing, Best For)
  • State the recommendation explicitly: "The best X for Y is Z because..."
Research / Data Content
  • Add a "Key Findings" callout box with the single most notable statistic
  • Present data in HTML tables, not inline prose
  • State methodology explicitly (sample size, timeframe, data source)
  • Lead each section with the conclusion, then the supporting data
How-To / Tutorial Content
  • Present the complete step list before any explanatory prose
  • Use ordered lists with concise step descriptions
  • Include estimated time and difficulty level upfront
  • End with a concrete result statement: "After completing these steps, you will have..."
Definition / Explainer Content
  • Put the definition in the first sentence — not after context-setting
  • Use the "X is Y" format: unambiguous, standalone, extractable
  • Follow with a concrete example in the second paragraph
  • Structure the rest as progressive detail (what → why → how → examples)

AI Citation Scoring

Score each page across 5 dimensions. For each item: Pass (meets criteria fully), Partial (partly meets), or Fail (does not meet).

1. Extractability

Can AI systems pull a useful answer from this content?

ItemPassFail
Core answer in first 150 words after the headingAnswer appears immediatelyAnswer buried in background
Self-contained statements (make sense without context)Key claims stand aloneClaims require surrounding text
Structured data (tables, lists) for comparisons/dataData in tables or listsData in prose paragraphs
TL;DR or summary box at the topPresentMissing
2. Quotability

Does the content contain statements worth citing?

ItemPassFail
Specific claims with numbers and units"Response time improved 40% (from 500ms to 300ms)""Response time improved significantly"
Named sources on all statisticsSource and date citedUnsourced numbers
Clear definitions using "X is Y" structurePresent for key termsKey terms undefined or vague
3. Authority

Does the content signal expertise?

ItemPassFail
Author identified with relevant credentialsName, title, experience visibleAnonymous or no bio
Expert quotes with named sourcesAt least 1 named expert quotedNo external voices
References to primary sources (not just other blogs)Links to research, docs, official dataOnly cites other blog posts
4. Freshness

Is the content current?

ItemPassFail
Published or updated date visible on pageDate present and within 18 monthsNo date or older than 18 months
Data and examples are currentStatistics from last 2 yearsOutdated numbers or deprecated tools
5. Entity Clarity

Can AI systems identify what entity this content is about?

ItemPassFail
Subject entity named in full in opening paragraph"SEOJuice is an SEO intelligence platform..."Pronoun or abbreviated reference
Organization schema with sameAs linksJSON-LD presentMissing
Consistent brand name across platformsSame name on site, GBP, LinkedIn, etc.Variations or inconsistencies

Veto: If AI crawlers (GPTBot, ClaudeBot, PerplexityBot) are blocked in robots.txt, the AI visibility score is 0 regardless of content quality. Check this first.

Scoring

Score each dimension: Pass = 10, Partial = 5, Fail = 0. Average items per dimension.

DimensionScoreAssessment
Extractability[x]/10...
Quotability[x]/10...
Authority[x]/10...
Freshness[x]/10...
Entity Clarity[x]/10...
AI Citation Score[avg]/10...

Making Content Quotable

AI systems cite content they can extract cleanly. Here are before/after examples showing how to transform weak content into citable content:

Definition Block

Before (score: 1/10): "SEO is really important and there are many things to consider."

After (score: 9/10): "Search engine optimization (SEO) is the practice of improving a website's visibility in organic search results through technical configuration, content relevance, and link authority. According to BrightEdge, 53% of all website traffic originates from organic search."

Fix: Name the term, classify it, list its components, add a sourced statistic.

Statistical Claim

Before (score: 2/10): "Email marketing is pretty effective for most businesses."

After (score: 9/10): "Email marketing generates an average return of $42 for every $1 spent (Litmus, 2023), making it the highest-ROI digital marketing channel — outperforming social media (average $5.20 per $1) and paid search (average $8 per $1)."

Fix: Replace adjectives with numbers, name the source, add comparison context.

Process / How-To

Before (score: 2/10): "Think about your keywords and try to optimize your content."

After (score: 8/10): "To optimize a page for a target keyword: (1) place the keyword in the title tag and H1, (2) use it in the first 100 words, (3) add 2-3 semantic variations in H2 subheadings, (4) maintain 0.5-2.5% keyword density, and (5) include it in the meta description. Use tools like Google Search Console to verify indexing within 48 hours."

Fix: Number the steps, make each action specific, add tool and time reference.

Quotability Test

Score each content section against these 10 questions (8+ = highly quotable, 5-7 = needs work, <5 = major rewrite):

  1. Can AI quote this without needing surrounding context?
  2. Does it include specific numbers or measurements?
  3. Is the source of any claim clearly identified?
  4. Is the language precise and unambiguous?
  5. Would a subject-matter expert approve this statement?
  6. Is it scannable (uses lists, tables, or short paragraphs)?
  7. Is the information current (data from last 2 years)?
  8. Can the claims be independently verified?
  9. Is it specific to a defined use case or audience?
  10. Does it answer a complete question without requiring follow-up?

Citation Gap Analysis

Check who AI systems currently cite for your target topics:

  1. Search your primary keywords on ChatGPT, Perplexity, and Google AI Overviews
  2. Note which domains are cited in the responses
  3. For each competitor citation, assess: what does their content have that yours doesn't?
  4. Common gaps: more specific data, clearer structure, better-known author, fresher content

Optimization Framework

1. Structure for Extraction
  • Use clear H2/H3 headings that match questions people ask
  • Put the answer in the first sentence after the heading
  • Use HTML tables for comparisons and data
  • Use ordered lists for processes and rankings
  • Include a TL;DR or summary box at the top of long content
Show full SKILL.md (890 more words)Show less
2. Build Authority Signals
  • Statistics with sources: Content with cited statistics is significantly more likely to be referenced
  • Expert quotes: Named experts with credentials increase citation likelihood substantially
  • Dates and freshness: AI systems prefer recent, dated content
  • Consistent brand voice: Be recognizable as an authority in your niche
  • Cross-platform presence: Appear on Wikipedia, Reddit, industry sites — AI systems cross-reference
3. Entity Building

AI systems understand brands as entities. To strengthen your brand entity:

  • Maintain consistent brand information across the web (name, description, expertise areas)
  • Appear on platforms AI systems index: Wikipedia, Wikidata, Crunchbase, LinkedIn, industry directories
  • Get mentioned (not just linked) on authoritative sites
  • Create a robust About page and author bios with credentials
  • Use Organization schema markup with sameAs links to all official profiles
4. Entity Identity Checklist

AI systems recognize brands as entities. Use this prioritized checklist to strengthen your entity:

Priority 1 — Foundation (must-have):

  • Organization schema on homepage with name, url, logo, description
  • sameAs property links to all authoritative profiles (LinkedIn, Wikipedia, Wikidata, social)
  • About page with entity-rich content (founding date, key people, mission)
  • Consistent brand name, address, and contact info across all directories
  • Branded search returns your site as #1 result

Priority 2 — Authority (should-have):

  • Google Knowledge Panel present with correct information
  • Wikipedia article or 3+ independent reliable source mentions
  • Wikidata entry with 10+ properties and references
  • 3+ authoritative media mentions in recognized publications
  • Author pages with credentials and Person schema

Priority 3 — AI-Specific (must-have for AI visibility):

  • ChatGPT recognizes your entity correctly when asked
  • Perplexity returns accurate information about your brand
  • Entity definition is quotable in the first paragraph of your About page
  • Entity name used identically across all platforms (no abbreviations or variations)
  • Key pages updated within the last 6 months
Current StateFocus AreaTimeline
Most Priority 1 missingPriority 1 only2-4 weeks
Priority 1 done, Priority 2 mixedPriority 2 authority1-2 months
Priority 1-2 donePriority 3 AI-specific2-3 months
All tiers doneMaintenance + quarterly re-auditOngoing
5. Technical Requirements
  • Don't block AI crawlers. Check robots.txt for blocks on GPTBot, ClaudeBot, PerplexityBot, Google-Extended
  • Keep content accessible. Content behind login walls, paywalls, or heavy JS rendering may not be crawled
  • Use semantic HTML. Proper heading hierarchy, tables, lists — not divs styled to look like these
  • Implement structured data. Article, FAQ, HowTo, Organization schema help AI systems understand content type

AI Visibility Audit Checklist

  • robots.txt does not block AI crawlers (GPTBot, ClaudeBot, PerplexityBot)
  • Key pages render without JavaScript (or use SSR/SSG)
  • Content uses clear definitional structure ("X is Y")
  • Comparison tables exist for relevant topics
  • Statistics include named sources and dates
  • Author bios include credentials and expertise signals
  • Organization schema is present with sameAs links
  • Brand appears on major platforms (Wikipedia, Crunchbase, LinkedIn)
  • Content is dated and regularly updated
  • FAQ sections use direct, concise answers

How Each AI Engine Cites Differently

Different AI systems have distinct citation behaviors. Optimize for all, but understand the differences:

FactorGoogle AI OverviewsChatGPTPerplexityClaude
Freshness biasHighMediumVery HighN/A (training data)
Authority weightVery HighHighHighHigh
Structure importanceHighMediumVery HighMedium
Typical citations per answer3-81-65-10N/A
Domain trust weightVery HighHighMediumHigh
Factual density preferenceHighHighVery HighVery High
Per-Engine Notes
  • Google AI Overviews — Favors E-E-A-T signals, recent publication dates, structured content (short paragraphs, bullet points, tables). Cites 3-8 sources per overview.
  • ChatGPT (with browsing) — Uses inline citations [1], [2]. Favors .edu/.gov/.org domains and recognized brands. Pulls exact quotes when information is distinctive.
  • Perplexity — Strongest freshness bias. Shows domain and publish date alongside citations. Prefers quotable standalone statements with high factual density. Most sources per answer (5-10).
  • Claude — Relies on training data, not live browsing. Values clear authoritative definitions, well-established methodologies, and consensus information. Optimize for training data inclusion via authoritative publishing.

Monitoring AI Visibility

Track your AI presence across platforms:

  1. Search your brand on ChatGPT, Perplexity, Claude, and Gemini
  2. Search your primary topics and check if your content is cited
  3. Track mentions over time — are you being cited more or less frequently?
  4. Monitor sentiment — how do AI systems describe your brand?
  5. Check competitors — who gets cited for your key topics?

Common Mistakes

  • Treating AI SEO as separate from traditional SEO. Strong traditional SEO is the foundation — AI systems largely index the same content Google does.
  • Keyword stuffing. Actively reduces AI citation likelihood. Write naturally.
  • Gating content. Paywalled or login-gated content can't be cited.
  • Ignoring freshness. Outdated content gets deprioritized quickly.
  • Blocking AI crawlers. Some sites block AI bots out of principle — this guarantees invisibility.

Output Format

AI Visibility Strategy: [domain]

Current AI Presence

  • Brand recognized by AI systems: [yes/partially/no]
  • Topics where cited: [list]
  • Citation sentiment: [positive/neutral/mixed]
  • AI crawler access: [allowed/blocked/partially blocked]

Optimization Priorities

PriorityActionPages AffectedExpected Impact
1.........

Content Optimization Plan For each key page/topic:

  • Current state (extractable? structured? authoritative?)
  • Specific changes needed
  • Schema to add

Brand Entity Checklist

  • Consistent brand presence across platforms
  • Organization schema with sameAs links
  • Author bios with credentials
  • Appearances on AI-indexed platforms

Pro Tip: Try the free AI Visibility Checker to see how your brand appears in AI search results, the AI Crawler Inspector to verify bot access, and the GEO Content Analyzer to score content for AI citation readiness. SEOJuice MCP users can run /seojuice:aiso-report for AISO scores across visibility, sentiment, position, and coverage — with monthly trends.

© galfrevn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/optimize-for-ai of galfrevn/apollo.

Open the folder on GitHubat commit c7605d6

Compare with similar skills

Optimize For AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Categories

Questions about Optimize For AI

What does Optimize For AI do?

Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Optimize For AI is an agent skill from galfrevn/apollo. Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews.

When should I use Optimize For AI?

Optimize For AI fits situations like: the user asks about AI SEO; getting cited by AI; appearing in AI answers; answer engine optimization.

How do I install Optimize For AI in Claude Code?

Run `npx skills add galfrevn/apollo --skill optimize-for-ai -a claude-code`. Or copy the skill folder (.claude/skills/optimize-for-ai in galfrevn/apollo) into .claude/skills/optimize-for-ai in your project. Claude Code loads it when a task matches its description.

How do I install Optimize For AI in Codex?

Run `npx skills add galfrevn/apollo --skill optimize-for-ai -a codex`. Or copy the skill folder (.claude/skills/optimize-for-ai in galfrevn/apollo) into .agents/skills/optimize-for-ai in your project. Codex loads it when a task matches its description.

Can I use Optimize For AI in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add galfrevn/apollo --skill optimize-for-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/optimize-for-ai, .gemini/skills/optimize-for-ai, .github/skills/optimize-for-ai and .opencode/skills/optimize-for-ai in your project.

What does Optimize For AI need to run?

SKILL.md names no scripts, command-line tools or credentials: Optimize For AI is instructions for the agent only.

Does Optimize For AI access the network?

SKILL.md names 1 domain. As links in the text: seojuice.com. This is read from the text; nothing was executed.

Is Optimize For AI safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Optimize For AI use?

Optimize For AI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Optimize For AI use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Optimize For AI?

Skills that share tags, products or a category with Optimize For AI: Geo Fundamentals (wasp-lang/wasp, 19k stars), SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars) and Fire Your SEO Agency (leopard627/fire-your-seo-agency, 708 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Optimize For AI?

galfrevn (a GitHub user) maintains it in galfrevn/apollo, which has 237 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on August 17, 2026.

Source: galfrevn/apollo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.