seo-ai-search-share-of-voice

seo-ai-search-share-of-voice is a skill for Claude Code from amirjahfar1/automate-seo-with-claude. It costs 109 tokens per session (1,375 once invoked), scanned A, original, MIT.

A report that compares how often a website or brand is mentioned or cited by major AI search services against competitors. AI search services include ChatGPT, Perplexity, Gemini, and Google’s AI results.

In plain words
What is it for?
Use it to measure AI-search visibility by engine and country, compare domains and brands, identify topic areas each competitor owns, and find visibility gaps.
Why use it?
Traditional search rankings do not show how visible a brand is in AI-generated answers. This comparison reveals which topics competitors appear in and where the target brand is missing.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the seo-skills plugin — 26 skills shipped together

Good fit Use it to measure AI-search visibility by engine and country, compare domains and brands, identify topic areas each competitor owns, and find visibility gaps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amirjahfar1/automate-seo-with-claude/seo-ai-search-share-of-voice
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 amirjahfar1/automate-seo-with-claude --skill seo-ai-search-share-of-voice
Clone the repo
git clone --depth 1 https://github.com/amirjahfar1/automate-seo-with-claude

Made for: Claude Code.

Or install seo-skills, the plugin that ships this one along with the rest of its 26 skills.

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 seo-ai-search-share-of-voice

README.md
[![agentmods](https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/seo-ai-search-share-of-voice/github.svg)](https://agentmods.dev/skills/amirjahfar1/automate-seo-with-claude/seo-ai-search-share-of-voice)
Your own site
<a href="https://agentmods.dev/skills/amirjahfar1/automate-seo-with-claude/seo-ai-search-share-of-voice"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/seo-ai-search-share-of-voice/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 seo-ai-search-share-of-voice

Your own site · 80×15
<a href="https://agentmods.dev/skills/amirjahfar1/automate-seo-with-claude/seo-ai-search-share-of-voice"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/seo-ai-search-share-of-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,375 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00109 $0.01375
Opus 5 $0.00055 $0.00687
Sonnet 5 $0.00022 $0.00275
Haiku 4.5 $0.00011 $0.00137

Measured 12d ago against content hash d8a3f6bf22c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-ai-search-share-of-voice scanned grade A with 0 findings 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/seo-ai-search-share-of-voice/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Example output: examples/seo-ai-search-share-of-voice-wix-com-20260427/REPORT.md

AI Search Share of Voice

Compare AI-search visibility for a target brand against competitors across every major LLM engine, then analyse the topic clusters each brand owns and where gaps exist.

Prerequisites

  • DataForSEO MCP server connected.
  • User provides: (a) target domain and its brand name, (b) list of competitor domains and brand names, (c) country (default: us), and (d) optionally, which engines to analyse (default: all supported: ai-overview, chatgpt, perplexity, gemini, ai-mode).

Process

  1. Leaderboard snapshot mcp__dataforseo__ai_opt_llm_ment_top_domains + mcp__dataforseo__ai_opt_llm_ment_agg_metrics; Google AI Overview presence from mcp__dataforseo__serp_organic_live_advanced (AIO block)

    • Pull the LLM-mention leaderboard (top cited/mentioned domains) for the target domain's category in the target country; for the AI Overview engine, read the AIO citation block from serp_organic_live_advanced on the category's seed keywords.
    • Capture mention counts and share percentages per engine, per domain.
  2. Heatmap table

    • Build a table: rows = domains (target + competitors), columns = engines, cells = % share of voice.
    • Highlight the leader per engine and the worst performer.
  3. Prompt sampling per domain mcp__dataforseo__ai_opt_llm_ment_search, mcp__dataforseo__ai_opt_llm_ment_top_pages; for actual answers mcp__dataforseo__ai_optimization_chat_gpt_scraper / mcp__dataforseo__ai_optimization_llm_response

    • For each domain (target and each competitor):
      • Use ai_opt_llm_ment_search to pull prompts/queries where the domain appears as a cited source (link mention) and where the brand is mentioned by name; ai_opt_llm_ment_top_pages surfaces the specific pages cited.
      • Where a live answer is needed to confirm a mention, scrape it with ai_optimization_chat_gpt_scraper (ChatGPT) or ai_optimization_llm_response (other models).
    • Save query text and the exact sources cited so the user can validate.

Read the full file on GitHub · 100 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 First seen · 100 lines · 109 tokens per session scan A d8a3f6bf22c2

Subscribe to this mod's changes

seo-ai-search-share-of-voice is a skill published in the GitHub repository amirjahfar1/automate-seo-with-claude (2 stars, last pushed 3mo ago), licensed MIT. It adds 109 tokens to every session and 1,375 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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