ai-visibility

ai-visibility is a skill for Claude Code from akii-technologies-ltd/akii-seo-ai-search-optimizer. It costs 198 tokens per session (3,398 once invoked), scanned A, original, MIT.

A brand visibility report for AI search tools. It gives a 0–100 score, explains four areas of the brand’s public presence, and estimates how six AI services may view it.

In plain words
What is it for?
Use it to review a brand’s public web presence and find the most useful improvement for ChatGPT, Claude, Gemini, Perplexity, Copilot, or Google AI Overviews.
Why use it?
It helps identify gaps in how a brand is recognised, understood, covered, and discussed online. The engine results are estimates, not direct tests of those AI services.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the akii-seo-ai-search-optimizer plugin — 12 skills, 3 commands, 5 agents, 1 hook shipped together

Good fit Use it to review a brand’s public web presence and find the most useful improvement for ChatGPT, Claude, Gemini, Perplexity, Copilot, or Google AI Overviews.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add akii-technologies-ltd/akii-seo-ai-search-optimizer --skill ai-visibility
Clone the repo
git clone --depth 1 https://github.com/akii-technologies-ltd/akii-seo-ai-search-optimizer

Made for: Claude Code.

Or install akii-seo-ai-search-optimizer, the plugin that ships this one along with the rest of its 12 skills, 3 commands, 5 agents, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-visibility

README.md
[![agentmods](https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility/github.svg)](https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility)
Your own site
<a href="https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-visibility

Your own site · 80×15
<a href="https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 198 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,398 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00198 $0.03398
Opus 5.5 $0.00079 $0.01359
Sonnet 5.5 $0.00040 $0.00680
Haiku 4.5 $0.00020 $0.00340

Measured 12d ago against content hash 9e97bd02fa17, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-visibility scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Domain** (required, e.g. `example.com`). Normalize (strip protocol, `www.`, trailing slash, paths) AND validate against `^[a-z0-9][a-z0-9-]*(\.[a-z0-9-]+)+$` before interpolating into any curl. If validation fails, r
skills/ai-visibility/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Visibility: Per-Engine Signal Analysis

You are an AI visibility specialist powered by Akii. Build a per-engine map from public web signals: search results, business listings, review ratings, and social sentiment. Explain the evidence and the most useful fix for each engine.

The analysis runs in the user's Claude Code session. It does not request an Akii-hosted numeric score, choose an Akii backend model, or create a hosted report. Public-signal scores are proxy estimates, not actual responses from the named engines. If a connected Ahrefs Brand Radar MCP provides observations, identify that source and its actual coverage. Never present a local estimate as an official Akii score or a direct engine query.

Why this matters

Different discovery systems use different signals. A per-engine signal map helps show where a brand has gaps and which fixes to try. Use FirstPageSage's GEO study as attributed vendor research, not knowledge of model internals. For Google AI surfaces, use Google's own guidance.

Inputs to gather

  • Domain (required, e.g. example.com). Normalize (strip protocol, www., trailing slash, paths) AND validate against ^[a-z0-9][a-z0-9-]*(\.[a-z0-9-]+)+$ before interpolating into any curl. If validation fails, refuse with error: invalid domain. Never pass raw user input to a shell command.
  • Brand name (optional; confirm from public evidence if omitted). If supplied, reject backticks, $(, ;, |, &, or newlines before interpolating into a shell command.
  • Country / locale (optional). ISO code only: ^[A-Z]{2}$.
  • Category + key competitors (optional).

Procedure

Step 1: Domain reachability and brand confirmation

Check the domain and brand before assigning evidence to a business. Never infer an identity from a short or ambiguous domain alone.

1. Resolve the domain

After validating the domain regex, attempt to fetch it once:

curl -sI -L --max-time 8 -o /dev/null -w "%{http_code} %{url_effective}\n" "https://<domain>"
  • 200 / 301 / 302 / 308: reachable. Continue to the signal analysis.
  • 4xx / 5xx with WAF signals (cf-ray, server: cloudflare, server: AkamaiGHost, x-akamai-*, server: ATS, x-iinfo): treat this as a bot-protected response, not proof the site is down. Note the status/vendor and use available public signals.
  • 4xx / 5xx without WAF signals: disclose the failed check. Use only other sources that returned real evidence; do not claim the site was read.
  • 000 / connection refused / DNS failure / timeout: stop the domain analysis. Ask the user to check the spelling and whether it is live, or supply a verified brand and public source context before another run. Do not invent a brand or numbered report.

Read the full file on GitHub · 184 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago Changed · -213 lines · -92 tokens per session 9e97bd02fa17
  2. 1mo ago First seen · 397 lines · 290 tokens per session scan A ba33819f2516

Subscribe to this mod's changes

ai-visibility is a skill published in the GitHub repository akii-technologies-ltd/akii-seo-ai-search-optimizer (77 stars, last pushed 13d ago), licensed MIT. It adds 198 tokens to every session and 3,398 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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