FullMention
Use one ingestion pull, store data locally, and run analysis offline to minimize API calls.

Share of Voice Snapshot

How to use Share of Voice Snapshot with FullMention API data to generate actionable insights.

Share of Voice Snapshot

What it does

Calculates brand visibility share using rank-weighted mentions from the latest snapshot.

Why this is insightful

Raw rank positions are hard to compare across many queries. This skill converts ranking presence into a single share metric so you can see which brands own AI visibility now.

Required API fields

  • resultId
  • query.keyword
  • rankings.brands[].name
  • rankings.brands[].rank
  • recommendations[].type
  • recommendations[].name

How to use

  1. Ingest latest results once.
  2. Normalize brand names.
  3. Compute score per mention as 1/rank.
  4. Aggregate by brand and convert to percentage share.

Expected output

  • leaderboard: brand, weighted_score, sov_percent
  • top 3 insights
  • confidence score

Copy-ready skill prompt

Use this as a full copy/paste prompt in your AI tool:

Skill: Share of Voice Snapshot
Goal: Run this analysis on FullMention data only.
Data policy:
- Do one controlled ingestion pull from FullMention API.
- Store dataset locally (file/local DB) and analyze offline.
- No repeated API fetch loops during analysis.
Execution contract:
- Provide ingestion_plan, max_api_calls, cache_key, dataset_timestamp, analysis_mode=offline_only.
Required fields:
- Use the required API fields listed on this page.
Output requirements:
- Return summary, key metrics, and evidence_map with source_field_paths and sample_result_ids.
- Include limitations and confidence score rationale.

Run This Skill

Copies the full skill prompt, including data policy and output contract.