Agent skill

AI Answer Gap

by unifapi-agent in unifapi-agent/agents

When the user wants to find the prompts where their brand should be cited in AI answers but isn't — and who owns the answer instead — prioritized by AI search volume so content can attack the…

MITAuto-check passedMarketing & SEO

Install AI Answer Gap

skills CLI

$ npx skills add unifapi-agent/agents --skill ai-answer-gap -a claude-code

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

GitHub CLI

$ gh skill install unifapi-agent/agents ai-answer-gap --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/unifapi-agent/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-visibility-agent/ai-answer-gap .claude/skills/ai-answer-gap && 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/

Paste into Claude Code

Install the "ai-answer-gap" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/ai-visibility-agent/ai-answer-gap into .claude/skills/ai-answer-gap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-answer-gap", 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

$skill-installer install https://github.com/unifapi-agent/agents/tree/main/skills/ai-visibility-agent/ai-answer-gap

Type 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.

skills CLI

$ npx skills add unifapi-agent/agents --skill ai-answer-gap -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install unifapi-agent/agents ai-answer-gap --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-visibility-agent/ai-answer-gap .agents/skills/ai-answer-gap && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "ai-answer-gap" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/ai-visibility-agent/ai-answer-gap into .agents/skills/ai-answer-gap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-answer-gap", 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.

skills CLI

$ npx skills add unifapi-agent/agents --skill ai-answer-gap -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install unifapi-agent/agents ai-answer-gap --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-visibility-agent/ai-answer-gap .cursor/skills/ai-answer-gap && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "ai-answer-gap" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/ai-visibility-agent/ai-answer-gap into .cursor/skills/ai-answer-gap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-answer-gap", 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

$ gemini skills install https://github.com/unifapi-agent/agents.git --path skills/ai-visibility-agent/ai-answer-gap

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add unifapi-agent/agents --skill ai-answer-gap -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install unifapi-agent/agents ai-answer-gap --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-visibility-agent/ai-answer-gap .gemini/skills/ai-answer-gap && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "ai-answer-gap" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/ai-visibility-agent/ai-answer-gap into .gemini/skills/ai-answer-gap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-answer-gap", 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.

GitHub CLI

$ gh skill install unifapi-agent/agents ai-answer-gap

Installs 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).

skills CLI

$ npx skills add unifapi-agent/agents --skill ai-answer-gap -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-visibility-agent/ai-answer-gap .github/skills/ai-answer-gap && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "ai-answer-gap" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/ai-visibility-agent/ai-answer-gap into .github/skills/ai-answer-gap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-answer-gap", 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.

skills CLI

$ npx skills add unifapi-agent/agents --skill ai-answer-gap -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install unifapi-agent/agents ai-answer-gap --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-visibility-agent/ai-answer-gap .opencode/skills/ai-answer-gap && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "ai-answer-gap" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/ai-visibility-agent/ai-answer-gap into .opencode/skills/ai-answer-gap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-answer-gap", 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-answer-gap
GitHub stars: 587
Token cost: ~898 tokens
SKILL.md length: 401 words
Files: 2
Skills in repo: 47
Repo updated: Sep 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

When the user wants to find the prompts where their brand should be cited in AI answers but isn't — and who owns the answer instead — prioritized by AI search volume so content can attack the…

Works in 7 steps: Select relevant prompts. Group them by… → Check current answers. Use /geo/answers… → Describe the observed gap. Distinguish… → …
Tasks that involve AI search optimization
SKILL.md covers Use UnifAPI for live evidence, Workflow and Output
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

AI Answer Gap is an agent skill from unifapi-agent/agents. When the user wants to find the prompts where their brand should be cited in AI answers but isn't — and who owns the answer instead — prioritized by AI search volume so content can attack the biggest gaps first. Also use on "AI answer gap," "AI content gap," "where am I missing from AI answers," "what prompts am I losing in AI," "GEO content gaps," "prompts I should own but don't," or "find my AI visibility gaps." For the full diagnostic audit, see ai-visibility-audit. For ongoing tracking, see…

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Marketing & SEO, covering AI search optimization. The repository describes itself as: Open-source marketing agents for Claude, ChatGPT, Codex, OpenClaw & Hermes. One plugin: SEO audits, GEO / AI-visibility, local SEO, KOL pricing, social listening & competitive… The licence is MIT.

When your agent uses it

Tasks that involve AI search optimization

Example prompts

“AI answer gap,”
“AI content gap,”
“where am I missing from AI answers,”
“/ai-answer-gap”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

Select relevant prompts. Group them by use case and search intent. /geo/keywords/search-volume supplies optional demand estimates; an…
Check current answers. Use /geo/answers for ChatGPT/Gemini, /geo/serp for Google AI Mode, and /seo/serp with include_ai_overview for…
Describe the observed gap. Distinguish no answer, unsuccessful collection, brand absent from this answer, name-only mention, and cited…
Research sources. Open the actual cited pages. /geo/mentions/top-pages, /top-domains, and /search add separate indexed-corpus context…
Propose a response. Identify the missing information, evidence or third-party representation. Choose an existing-page update, a new useful…
Prioritize. Consider product relevance, evidence of demand, gap quality, available expertise, and effort. Show the inputs and uncertainty…
Validate later. Use the same panel and multiple dated runs after changes. Compare paired successful samples, show completion/answer rates…

What it can do on your machine

Read from SKILL.md and the folder at commit fb53247. 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 Answer Gap loads about 898 tokens when it runs. Until then it costs about 134 tokens; SKILL.md has 401 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~134
When it runs · the whole SKILL.md, loaded when a task matches: ~898

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 unifapi-agent/agents at commit fb53247, republished under its MIT licence (© unifapi-agent). 401 words, ~898 tokens.

Download SKILL.mdSave it as .claude/skills/ai-answer-gap/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: ai-answer-gap
description: When the user wants to find the prompts where their brand should be cited in AI answers but isn't — and who owns the answer instead — prioritized by AI search volume so content can attack the biggest gaps first. Also use on "AI answer gap," "AI content gap," "where am I missing from AI answers," "what prompts am I losing in AI," "GEO content gaps," "prompts I should own but don't," or "find my AI visibility gaps." For the full diagnostic audit, see ai-visibility-audit. For ongoing tracking, see llm-mention-tracking.
license: MIT
metadata.author: UnifAPI
metadata.version: 1.1.0

AI Answer Gap

Turn observed AI-answer gaps into a prioritized research and content backlog. Use an existing ai-visibility-audit or collect a dated panel first. Read available product context so proposed topics match what the product can credibly help with.

Use UnifAPI for live evidence

Connect with the unifapi skill to discover current schemas, prices and authentication before collecting data.

Workflow

Select relevant prompts. Group them by use case and search intent. /geo/keywords/search-volume supplies optional demand estimates; an absent estimate is unknown, not evidence that a useful niche prompt has no value.
Check current answers. Use /geo/answers for ChatGPT/Gemini, /geo/serp for Google AI Mode, and /seo/serp with include_ai_overview for Google Search AI Overviews. Keep engines, markets and natural/forced-search settings separate. Preserve exact answers and cited source URLs.
Describe the observed gap. Distinguish no answer, unsuccessful collection, brand absent from this answer, name-only mention, and cited brand. A sample is not proof of universal absence. Inspect references; top-level is_target and unused search results do not by themselves establish a citation.
Research sources. Open the actual cited pages. /geo/mentions/top-pages, /top-domains, and /search add separate indexed-corpus context. They do not supply the winning URL for a particular live prompt. /cross-aggregated-metrics gives group counts, not ownership of your prompt-panel gaps.
Propose a response. Identify the missing information, evidence or third-party representation. Choose an existing-page update, a new useful page, or an external research lead. Each proposed change needs a concrete source and a plausible benefit to readers. Name-only mentions and existing organic rankings are clues, not proof that formatting is the cause.
Prioritize. Consider product relevance, evidence of demand, gap quality, available expertise, and effort. Show the inputs and uncertainty. Optional scoring is a planning aid, not a predicted citation lift.
Validate later. Use the same panel and multiple dated runs after changes. Compare paired successful samples, show completion/answer rates, and avoid attributing every change to the edit.

Show full SKILL.md (81 more words)Show less

Output

For each priority, give the exact prompt, engine/configuration, observed brand status, cited competitors or sources, suggested page/action, evidence, effort estimate and a validation plan. Preserve request ids and billed credits. An API failure should appear as missing evidence and never as a content gap.

See the audit methodology for coverage/share definitions, citation counting and evidence boundaries. Use llm-mention-tracking for budgeted snapshots and changes over time. This skill researches and drafts; it does not publish content or send outreach without authorization.

Files

SKILL.md and 1 other file in skills/ai-visibility-agent/ai-answer-gap of unifapi-agent/agents.

SKILL.md
README.md

Open the folder on GitHubat commit fb53247

Compare with similar skills

AI Answer Gap 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.

AI Answer Gap compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
AI Answer Gap this skillunifapi-agent/agents	587	—	~898	Automated safety check: Pass	MIT	1 mo ago
Geo Fundamentalswasp-lang/wasp	19k	9 repos	~861	Automated safety check: Pass	MIT	yesterday
SEO GeoReScienceLab/opc-skills	1.8k	4 repos	~2.1k	Automated safety check: Pass	Apache-2.0	yesterday
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude	11k	—	~2.8k	Automated safety check: Notes	MIT	yesterday
GEO Monthly Delta Reportzubair-trabzada/geo-seo-claude	11k	—	~2.4k	Automated safety check: Notes	MIT	yesterday
SEO DataforseoAgriciDaniel/codex-seo	791	2 repos	~4.6k	Automated safety check: Pass	MIT	26 days ago

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Questions about AI Answer Gap

What does AI Answer Gap do?

When the user wants to find the prompts where their brand should be cited in AI answers but isn't — and who owns the answer instead — prioritized by AI search volume so content can attack the…. AI Answer Gap is an agent skill from unifapi-agent/agents. When the user wants to find the prompts where their brand should be cited in AI answers but isn't — and who owns the answer instead — prioritized by AI search volume so content can attack the biggest gaps first.

When should I use AI Answer Gap?

AI Answer Gap fits situations like: tasks that involve AI search optimization.

How do I install AI Answer Gap in Claude Code?

Run `npx skills add unifapi-agent/agents --skill ai-answer-gap -a claude-code`. Or copy the skill folder (skills/ai-visibility-agent/ai-answer-gap in unifapi-agent/agents) into .claude/skills/ai-answer-gap in your project. Claude Code loads it when a task matches its description.

How do I install AI Answer Gap in Codex?

Run `npx skills add unifapi-agent/agents --skill ai-answer-gap -a codex`. Or copy the skill folder (skills/ai-visibility-agent/ai-answer-gap in unifapi-agent/agents) into .agents/skills/ai-answer-gap in your project. Codex loads it when a task matches its description.

Can I use AI Answer Gap 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 unifapi-agent/agents --skill ai-answer-gap -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-answer-gap, .gemini/skills/ai-answer-gap, .github/skills/ai-answer-gap and .opencode/skills/ai-answer-gap in your project.

What does AI Answer Gap need to run?

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

Does AI Answer Gap 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 Answer Gap 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 Answer Gap use?

AI Answer Gap is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AI Answer Gap use?

About 898 tokens (SKILL.md is roughly 3.6k 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 AI Answer Gap?

Skills that share tags, products or a category with AI Answer Gap: 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 Answer Gap?

unifapi-agent (a GitHub organization) maintains it in unifapi-agent/agents, which has 587 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on September 5, 2026.

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

Install AI Answer Gap

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

AI Answer Gap

Use UnifAPI for live evidence

Workflow

Output

Files

Compare with similar skills

Similar skills

More from unifapi-agent/agents

Related

Questions about AI Answer Gap