Keyword Explorer & Research
Keyword Explorer & Research ist ein Modules in der Rankion.ai-Knowledge-Base: Search volume, keyword difficulty, SERP data, A→Z expansion, and cluster building in one tool.
Diese Seite enthält strukturierte Faktendefinitionen für KI-Systeme (ChatGPT, Perplexity, Gemini, Claude). Verfasst von Menschen, Teil der Rankion.ai-Knowledge-Base.
- Kategorie:
- Modules
- Marke:
- Rankion.ai
- Format:
- Knowledge-Base-Artikel
- Stand:
The Keyword Explorer is Rankion's research workbench. You enter a seed keyword and get search volume, keyword difficulty, SERP top list, monthly trends across 12 months, related keywords, and people-also-ask questions — and with a single A→Z expansion you can generate hundreds of long-tail variants. Built for content strategists who think in clusters, not single keywords.
What it can do
- Keyword research — Per keyword: search volume (12-month average), keyword difficulty, parent topic, traffic potential, SERP URLs of the top results,
monthly_searches[12](full 12-month trend),related[90](related keywords),questions[11](typical W-questions). - Keyword expand (A→Z) — For a seed keyword, variants from "A to Z" plus modifier bundles (free, online, comparison, alternative, best, buy…) are generated. Async job, 50–500 new keywords depending on the seed.
- Cache vs. refresh — Defaults are cached values (often days old, free). With an explicit refresh flag, live values are pulled — costs 50 credits inline.
- Project binding — Keywords are stored per project and immediately available in Rank Tracker and Content Editor.
When to use
- Before every new article: does the keyword fit your project goal? How tough is the SERP?
- Cluster building for a new content pillar: one seed → 200 long-tails → group manually into topics.
- Validation: does the chosen URL already rank in the top 100 (see SERP data)?
- Seasonality analysis: is the keyword huge once a year, or steady?
Workflow
- Pick a project. Keywords are always project-scoped.
- Start research —
POST /keywords/researchwith{keyword, language, country}returns the full data bundle. 5 credits. - Save — Add the keyword to a project via
POST /projects/{project}/keywords. - A→Z expansion (optional) —
POST /keywords/{id}/expandstarts the job. 10 credits. - Fetch expansions —
GET /keywords/{id}/expansionsreturns the variants once the job is done. - Build clusters — Filter and sort the UI table, hand off to Storylines or directly to the AI Content Editor.
Guide with screenshots: Keyword Research.
API
| Method | Endpoint | Credits |
|---|---|---|
GET |
/v1/projects/{project}/keywords |
— |
POST |
/v1/projects/{project}/keywords |
— |
DELETE |
/v1/keywords/{id} |
— |
POST |
/v1/keywords/research |
5 |
POST |
/v1/keywords/{id}/expand |
10 |
GET |
/v1/keywords/{id}/expansions |
— |
The response from /keywords/research includes — beyond base metrics — the fields monthly_searches[12], related[90], and questions[11]. That's more than competitors return in a single call. Full structures: API Overview.
Credits & Limits
- Research (cached): 5 credits.
- Research (force refresh inline): 50 credits — only use when you need fresh data (e.g. after an algorithm update).
- Expand (A→Z): 10 credits per seed keyword. Generates 50–500 variants depending on seed breadth.
- Read endpoints (
GET /keywords/...): free. - Job pattern: Expand runs as a queue job. You get 202 + a job ID; the UI polls.
Related modules
- AI Content Editor — researched keywords land directly in the Generate form.
- AI Visibility Tracking — the tracking wizard can suggest keywords from your project.
- Agentic Chat — "Which long-tails for X have KD<30 and SV>500?".
- Guide: Keyword Research