SEO Keyword Research and Search Intent Mapper
Groups related queries by intent and page purpose, then checks them against business priorities, existing URLs, and available keyword evidence.
GPT / Claude / Gemini7 variables
Prompt
Act as an SEO analyst. Build a keyword and search-intent map for {SITE_OR_TOPIC}.
Target audience and geography: {AUDIENCE_AND_REGION}
Business or site goal: {BUSINESS_GOAL}
Seed topics and keyword export: {KEYWORD_DATA}
Existing URLs and page titles: {EXISTING_URLS}
Competitor pages actually reviewed: {REVIEWED_COMPETITORS}
Available performance data: {SEARCH_CONSOLE_DATA}
For each cluster:
- Group equivalent queries without merging terms that serve different intents.
- Label intent as informational, commercial investigation, transactional, or navigational; explain ambiguous cases.
- Record the evidence source and date for any supplied volume, trend, difficulty, impression, click, or ranking metric.
- Recommend an existing URL to improve, a new page to consider, a merge, or no action.
- Suggest a page format and the specific question it must answer.
- Identify internal links, likely overlap with other URLs, and missing evidence.
- Prioritize using business relevance, reader value, evidence confidence, and effort, not volume alone.
Never fabricate search metrics, competitor findings, ranking forecasts, or SERP observations. Mark missing data as unknown and list the validation step required. End with a short, prioritized 30-day content plan.
Site/topic: {SITE_OR_TOPIC}Quick brief
Purpose
Turn seed topics and verified keyword data into a focused content plan.
Expected output
A prioritized keyword map with intent, funnel stage, evidence source, target URL, page format, internal-link role, overlap risks, confidence, and next validation step.
Customize before copying
Replace these placeholders with your own context before you run the prompt.
{SITE_OR_TOPIC}{AUDIENCE_AND_REGION}{BUSINESS_GOAL}{KEYWORD_DATA}{EXISTING_URLS}{REVIEWED_COMPETITORS}{SEARCH_CONSOLE_DATA}
Works well with
GPT
Claude
Gemini
Variations
Use Search Console queries with high impressions and low CTR to identify title and intent mismatches.
Map a new topic cluster while checking every proposed page against the current sitemap.
Create separate keyword maps for Nigeria and a global English-speaking audience without assuming demand is identical.
What this prompt helps you do
Groups related queries by intent and page purpose, then checks them against business priorities, existing URLs, and available keyword evidence.
When to use it
Use when planning a new site section, building a topical cluster, refreshing a content calendar, or deciding which query deserves a guide, comparison, landing page, or no new page at all.
Decision context
This prompt organizes keyword evidence supplied by the user. It does not have inherent access to live search volume, keyword difficulty, or SERP results. Validate candidates in Google Search Console, Google Trends, Bing Webmaster Tools, or a keyword platform before committing resources.
How it works
It normalizes seed terms, groups close variants, identifies informational, commercial, transactional, and navigational intent, then maps clusters to existing URLs or proposed pages. It flags cannibalization risk and separates observed data from hypotheses.
Best practices
Provide country, language, audience, site purpose, existing URLs, and exported keyword data with its source and date. Include impressions, clicks, CTR, and average position where available. Prioritize reader need and business fit alongside demand.
Common mistakes
Do not invent search volumes, difficulty scores, trend direction, or ranking positions. Do not create separate pages for every synonym or chase high-volume topics unrelated to the site.
What you should expect back
A prioritized keyword map with intent, funnel stage, evidence source, target URL, page format, internal-link role, overlap risks, confidence, and next validation step.
Limitations
Recommendations are only as reliable as the supplied data and SERP observations. Keyword tools use estimates, and search demand differs by country, season, device, and query wording.
Model notes
Supply seed topics, target geography, audience, current sitemap or URL list, and a dated export from a keyword or webmaster tool.
Real-world applications
Editorial planning, content-cluster design, site migrations, product-led SEO, and prioritizing pages from Search Console opportunities.
How to tell if it worked
Every proposed page has a distinct purpose, existing URLs are considered first, priority decisions are traceable to evidence, and the plan avoids unnecessary near-duplicate pages.
Where to go next
Use with the SEO content brief, content quality audit, and technical article refresh prompts.
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