Gap Analysis

What it does

Finds keywords where competitors appear but the target brand is missing or weak.

Why this is insightful

It turns broad visibility data into concrete opportunity lists, so teams know exactly where they are underrepresented.

Required API fields

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

Required inputs

• targetBrand
• competitorBrands[]

How to use

1. Mark target and competitor presence per keyword.
2. Keep competitor-only or target-underperforming cases.
3. Score pressure using competitor weighted rank.

Expected output

• sorted gap keyword table
• pressure score
• prioritized action list

Copy-ready skill prompt

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

Skill: Gap Analysis
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.