keyword-research

Name: keyword-research
Availability: InStock
Author: Conversion

Collects provider keyword metrics and outputs a normalized report with nulls for unavailable data.

49|7|Updated May 4, 2026

Search Tags:#keyword research #topic clustering #intent classification #dataforseo #search volume #keyword suggestions #cpc competition

Ready to run

npx skills add https://github.com/agencia-conversion/agentic-seo-skills --skill keyword-research-agencia-conversion

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: keyword-research
Source: https://github.com/agencia-conversion/agentic-seo-skills/tree/main/skills/keyword-research
Command: npx skills add https://github.com/agencia-conversion/agentic-seo-skills --skill keyword-research-agencia-conversion

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Keyword research helps you find and validate the right search terms using provider evidence, instead of guessing volume, CPC, competition, or intent.

Core Features & Use Cases

Evidence-first keyword discovery: generates a normalized keyword research artifact for one topic/market/language with raw provider evidence kept separate from synthesis.
Provider-aware metrics: uses DataForSEO for keyword metrics and suggestions when configured, while preserving missing or unavailable metrics as null.
Input shaping for downstream workflows: produces keyword lists suitable for later topic clustering and content planning, without drafting strategy or promoting to the brain.

Quick Start

Use the keyword-research skill to prepare keyword inputs for later clustering by researching the seed keyword seo agêntico for Brazil in pt-BR and returning an evidence-backed table with any missing metrics marked as null.

Frequently Asked Questions about keyword-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I get accurate search volume and CPC competition data for keyword research?▼

To get accurate search volume and CPC competition data for keyword research, you need an evidence-first approach using a provider like DataForSEO. This skill normalizes provider metrics while preserving any unavailable data as null to prevent fabrication.

What is the best way to generate topic clustering-ready long-tail keywords?▼

Generating topic clustering-ready long-tail keywords requires expanding seed terms and filtering by market and language. This skill produces normalized keyword lists with raw provider evidence kept separate, serving as structured input for later clustering workflows.

Can I use DataForSEO keyword suggestions for intent classification?▼

Yes, you can use DataForSEO keyword suggestions for intent classification preparation. This skill collects provider data to support keyword expansion and outputs a normalized report, setting the stage for downstream intent classification tasks.

How do you handle missing keyword metrics during seed refinement?▼

During seed refinement, missing keyword metrics are preserved as null values rather than fabricated. This ensures the normalized report maintains evidence integrity by only returning actual provider data and recording request parameters.

Does keyword research require a specific provider mode to function?▼

Yes, keyword research requires enforcing provider-mode requirements to function correctly. You must configure a provider like DataForSEO to collect evidence, normalize metrics, and generate the contract format report successfully.