geo-mentions

Name: geo-mentions
Rating: 5 (1 reviews)
Author: vladkomudrich

Verify real brand mentions in AI engine answers. Runs a curated set of category intent queries against ChatGPT, Claude, Perplexity, and Google AI Overviews (or their WebSearch proxies) and reports whether the brand appears in answers, whether the description is correct, and whether the sentiment is positive/neutral/negative. This is the only Pillar 5 ground truth — everything else is signal proxyi

1stars

Updated 25 days ago

View on GitHub ↗License: MIT

How to add

/plugin marketplace add vladkomudrich/claude-geo

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

[![Listada na Skillteca](https://www.skillteca.com.br/api/badge/geo-mentions/svg)](https://www.skillteca.com.br/skills/geo-mentions?utm_source=badge&utm_medium=readme&utm_campaign=badge)

#seo #ai

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Real LLM Mention Verification

Invocation: /geo mentions <brand> (optionally --queries=q1,q2,q3)

This is the only sub-skill that produces Pillar 5 (Real-world citations) scoring data. Everything else is signal proxying.

Step 1 — Determine queries

If the user provides --queries, use those. Otherwise, generate 5 candidate intent queries from category + competitor data, then ask the user to confirm or edit.

Intent-query patterns:

"best [category] in 2026"
`"[b

[Description truncada. Veja o README completo no GitHub.]

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