Geo Fundamentals
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Optimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf.
Install AI Search Optimization
$ npx skills add cbrock84/headcount --skill ai-search-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cbrock84/headcount ai-search-optimization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/demand-generation/skills/ai-search-optimization .claude/skills/ai-search-optimization && rm -rf skills-srcUse ~/.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/
Install the "ai-search-optimization" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/ai-search-optimization into .claude/skills/ai-search-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-search-optimization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/ai-search-optimizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add cbrock84/headcount --skill ai-search-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cbrock84/headcount ai-search-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/demand-generation/skills/ai-search-optimization .agents/skills/ai-search-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-search-optimization" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/ai-search-optimization into .agents/skills/ai-search-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-search-optimization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cbrock84/headcount --skill ai-search-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cbrock84/headcount ai-search-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/demand-generation/skills/ai-search-optimization .cursor/skills/ai-search-optimization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-search-optimization" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/ai-search-optimization into .cursor/skills/ai-search-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-search-optimization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/cbrock84/headcount.git --path plugins/demand-generation/skills/ai-search-optimization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cbrock84/headcount --skill ai-search-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cbrock84/headcount ai-search-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/demand-generation/skills/ai-search-optimization .gemini/skills/ai-search-optimization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-search-optimization" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/ai-search-optimization into .gemini/skills/ai-search-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-search-optimization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install cbrock84/headcount ai-search-optimizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add cbrock84/headcount --skill ai-search-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/demand-generation/skills/ai-search-optimization .github/skills/ai-search-optimization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-search-optimization" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/ai-search-optimization into .github/skills/ai-search-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-search-optimization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cbrock84/headcount --skill ai-search-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cbrock84/headcount ai-search-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/demand-generation/skills/ai-search-optimization .opencode/skills/ai-search-optimization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-search-optimization" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/ai-search-optimization into .opencode/skills/ai-search-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-search-optimization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-search-optimization- GitHub stars
- 2k
- Token cost
- ~829 tokens
- SKILL.md length
- 420 words
- Files
- 2 (incl. references)
- Skills in repo
- 175
- Repo updated
- First seen
- Licence
- MIT
At a glance
Optimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf.
- Tasks that involve AI search optimization
- SKILL.md covers What gets cited, Practical moves, Being represented accurately and Measuring, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI Search Optimization is an agent skill from cbrock84/headcount. Optimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf. Use this when traffic is shifting from links to AI answers, when a brand is misrepresented or absent in AI responses, when planning content for retrieval rather than ranking, or when deciding how AI search changes an existing SEO program.
Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sources.md`).
It sits in Marketing & SEO, covering AI search optimization. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.
When your agent uses it
- Tasks that involve AI search optimization
Example prompts
- “Use the ai-search-optimization skill to optimiz for AI assistants and AI-generated answers — being retrievable, being cited, and being represented…”
- “/ai-search-optimization”
What it can do on your machine
Read from SKILL.md and the folder at commit 98d1c17. 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
No URLs in SKILL.md.
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
AI Search Optimization loads about 829 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 420 words of instructions outside code blocks.
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 cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 420 words, ~829 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-search-optimization/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- ai-search-optimization
- description
- Optimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf. Use this when traffic is shifting from links to AI answers, when a brand is misrepresented or absent in AI responses, when planning content for retrieval rather than ranking, or when deciding how AI search changes an existing SEO program.
AI search optimization
Classical SEO optimizes to be clicked. This optimizes to be quoted — often with no click at all. That changes what a good page looks like.
What gets cited
- Self-contained passages. A retrieved chunk arrives without the surrounding page. Each section must make sense alone, with its subject named rather than pronominalized.
- Direct answers near the question. Bury the answer under three paragraphs of context and the passage retrieved will be the context.
- Specific, checkable facts — numbers, dates, named methods, stated conditions. Vague claims are neither retrievable nor quotable.
- Attributable expertise. Named authors, stated credentials, dated content, and cited sources. Anonymous undated content is weakly weighted.
- Structure that survives extraction — real headings, real lists, real tables. Layout implied by styling disappears.
Practical moves
- Answer the question in the first sentence under each heading, then elaborate.
- Write headings as the questions people actually ask.
- Define your own terms on your own pages, so the model's definition traces to you.
- Keep facts consistent across your site. Contradictions get resolved against you.
- Maintain the boring canonical pages — pricing, comparisons, specifications, FAQ. These are heavily retrieved and usually neglected.
Being represented accurately
Assistants assemble an answer about you from whatever is available, weighted toward third-party and structured sources. Where those are thin or stale, the answer will be wrong.
Audit periodically: ask several assistants what your company does, who it is for, what it costs, and how it compares. Note the errors and trace them to a source. The fix is almost always publishing or correcting the source, not the assistant.
Show full SKILL.md (161 more words)Show less
Measuring
Click-through will fall on informational queries even as influence rises. Track citation and mention frequency, and downstream branded search and direct traffic, rather than judging this program on organic sessions — that metric will say you are losing while you are winning.
Sources
references/sources.md in this skill lists the outside authorities that settle the questions
here — what each one is authoritative for, and what you may do with it. Check them before
answering on anything they cover, and cite what you used. Most are free to read and not free
to reproduce; the use note on each is binding.
Never
- Optimize for one assistant's current behavior. Retrieval and citation rules change without notice and without a changelog.
- Assume being crawlable means being citable. Models cite sources that answer a question cleanly, not sources that merely exist.
- Leave an inaccurate representation uncorrected because it is not on your site. The claim propagates whether or not you own the page it came from.
© cbrock84, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in plugins/demand-generation/skills/ai-search-optimization of cbrock84/headcount.
- SKILL.md
- references/sources.md
Open the folder on GitHubat commit 98d1c17
Compare with similar skills
AI Search Optimization 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Search Optimization this skillcbrock84/headcount | 2k | — | ~829 | Automated safety check: Pass | MIT | |
| Geo Fundamentalswasp-lang/wasp | 19k | 9 repos | ~861 | Automated safety check: Pass | MIT | |
| SEO GeoReScienceLab/opc-skills | 1.8k | 4 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude | 11k | — | ~2.8k | Automated safety check: Notes | MIT | |
| GEO Monthly Delta Reportzubair-trabzada/geo-seo-claude | 11k | — | ~2.4k | Automated safety check: Notes | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 791 | 2 repos | ~4.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about AI Search Optimization
What does AI Search Optimization do?
Optimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf. AI Search Optimization is an agent skill from cbrock84/headcount. Optimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf.
When should I use AI Search Optimization?
AI Search Optimization fits situations like: tasks that involve AI search optimization.
How do I install AI Search Optimization in Claude Code?
Run `npx skills add cbrock84/headcount --skill ai-search-optimization -a claude-code`. Or copy the skill folder (plugins/demand-generation/skills/ai-search-optimization in cbrock84/headcount) into .claude/skills/ai-search-optimization in your project. Claude Code loads it when a task matches its description.
How do I install AI Search Optimization in Codex?
Run `npx skills add cbrock84/headcount --skill ai-search-optimization -a codex`. Or copy the skill folder (plugins/demand-generation/skills/ai-search-optimization in cbrock84/headcount) into .agents/skills/ai-search-optimization in your project. Codex loads it when a task matches its description.
Can I use AI Search Optimization 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 cbrock84/headcount --skill ai-search-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-search-optimization, .gemini/skills/ai-search-optimization, .github/skills/ai-search-optimization and .opencode/skills/ai-search-optimization in your project.
What does AI Search Optimization need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Search Optimization is instructions for the agent only.
Does AI Search Optimization access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is AI Search Optimization 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 AI Search Optimization use?
AI Search Optimization 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 AI Search Optimization use?
About 829 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 448 tokens, read only when the agent opens those files.
What are the alternatives to AI Search Optimization?
Skills that share tags, products or a category with AI Search Optimization: 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 GEO Monthly Delta Report (zubair-trabzada/geo-seo-claude, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Search Optimization?
cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,007 GitHub stars. The repository holds 175 skills in this directory. The repository was last updated on September 17, 2026.
Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.