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seo-ai-search-share-of-voice

Measure AI Search share of voice for a target domain versus competitors across ChatGPT, Perplexity, Gemini, Google AI Overview, and AI Mode. Pulls the AIO leaderboard, then samples prompts where each domain appears as a source or brand mention, and analyses topic clusters each brand owns. Use when the user asks for AI Search share of voice, LLM visibility tracking, AEO/GEO analysis, AI Overview competitive analysis, or wants to know which brands LLMs cite in their category.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

seranking/seo-skills스타 188(GitHub 188 + cccskills 0)
연동 도구Gemini

실행 점수 미검증

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포함된 파일(1)

  • SKILL.md4.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

  • SE Ranking 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 DATA_getAiOverviewLeaderboard

    • Pull the AIO leaderboard for the target domain's category in the target country.
    • 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 DATA_getAiPromptsByBrand, DATA_getAiPromptsByTarget

    • For each domain (target and each competitor):
      • Pull 10 ChatGPT prompts where the domain appears as a source (link mention).
      • Pull 10 ChatGPT prompts where the brand is mentioned by name.
    • Save query text and the exact sources cited so the user can validate.

  4. Topic clustering

    • Group prompts by theme (e.g., pricing, feature comparison, tutorials, alternatives, reviews).
    • For each brand, note which clusters it dominates and which it is absent from.

  5. Gap and recommendation synthesis

    • Identify 3 to 5 topic clusters where the target underperforms competitors despite having relevant content.
    • Recommend specific actions: new content angles, structured data additions, partnerships with frequently-cited sources, comparison pages, FAQ/How-To schema.

Output format

Create a folder seo-ai-search-share-of-voice-{target-slug}-{YYYYMMDD}/ with:

seo-ai-search-share-of-voice-{target-slug}-{YYYYMMDD}/
├── 01-leaderboard.md         # raw leaderboard per engine
├── 02-heatmap.md             # visual heatmap table
├── 03-prompts-{domain}.md    # one file per domain with 20 sampled prompts
├── 04-topic-clusters.md      # cluster membership per brand
└── REPORT.md                 # executive summary

REPORT.md follows this shape:

# AI Search Share of Voice: {target brand} vs competitors

## Summary
- Target: {target} ({share}% across all engines)
- Leader: {leader brand} ({share}%)
- Target rank: {n} of {total}

## Heatmap

| Domain | AI Overview | ChatGPT | Perplexity | Gemini | AI Mode |
|---|---|---|---|---|---|
| {target} | {%} | {%} | {%} | {%} | {%} |
| {comp1} | ... | ... | ... | ... | ... |

## Who owns what

### {target brand}
Strong in: {cluster 1}, {cluster 2}
Absent from: {cluster 3}, {cluster 4}

### {competitor 1 brand}
...

## Topic cluster ownership

| Cluster | Leader | Share | Target position | Gap |
|---|---|---|---|---|
| Pricing | {brand} | {%} | {n} | {% behind} |
| Alternatives | {brand} | {%} | {n} | {% behind} |
| Tutorials | {brand} | {%} | {n} | {% behind} |

## Top 5 actions to close gaps
1. {action with target cluster}
2. ...

Tips

  • Do not hallucinate citation counts. If the API returns zero prompts for a given domain/engine, report zero, do not estimate.
  • For each competitor, validate the brand-name match in the prompt text. Sometimes "Wix" appears in a sentence about "wiktionary" or a person's name. Flag ambiguous matches in the raw-prompt file.
  • base_domain scope is the default; do not narrow to subdomain unless the user asks.
  • Respect Data API rate limit: 10 requests per second. With 5 domains and 2 prompt queries per engine per domain, pace the loop.
  • The report is not a one-time artefact. Recommend the user re-run monthly and diff results to see ranking momentum.

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