21 Claude Prompts for SEO Keyword Research Success

Keyword research is the decision everything else in SEO depends on. Pick the wrong keywords and you spend months creating content that never ranks; pick the right ones and every piece you publish compounds into topical authority and steady organic traffic. The right Claude prompts for SEO keyword research give you a structured way to find those keywords, grounded in search intent, competition and your own site’s situation.

Below are 21 prompts across three stages: keyword discovery, intent and prioritisation, and competitors, audits and content strategy. They are written for Claude but work in any AI chatbot.

Keyword tools give you data; Claude helps you interpret it. For the best results, include:

• Your site context: topic, audience, authority and what you sell
• Real data: paste exports from your keyword tool or Search Console
• Your goal: traffic, leads, sales or topical authority
• A verification step: check volumes and difficulty in a real SEO tool before you commit

Model choice matters too. Claude Sonnet 5 is strong at interpreting intent and nuance, and Claude Sonnet 4.6 is dependable for quick lists and classifications.

Discovery prompts widen your list before you filter it. The AI idea generator can suggest adjacent topics, and Gemini 3.5 Flash is fast for expanding long lists of seeds. Always confirm search volumes in a keyword tool, because AI models do not have live search data.

1. Seed keyword expander

My site is about [topic] for [audience]. Expand these seed keywords into 40 related keywords: [list]. Group them by subtopic, label each with its likely intent, and mark the ones that feel most specific and commercially valuable.

2. Long-tail keyword generator

Generate 30 long-tail keywords of four or more words around [topic] that a [audience] might search. Focus on specific problems, comparisons and use cases, and flag the ten with the clearest intent.

3. Question keyword miner

List 25 questions people ask about [topic], grouped into what, how, why, which and can/should questions. Mark which could become standalone articles and which work better as sections or FAQs.

4. Local keyword builder

Build a local keyword list for a [business type] in [city or region]. Include service-plus-location keywords, ‘near me’ variations, neighbourhood terms and local question keywords.

5. Seasonal keyword planner

List keywords related to [topic] that are likely to rise at certain times of the year. Group them by month or season, and suggest when to publish content for each so it has time to rank.

6. Semantic and entity terms

For the keyword [keyword], list the related entities, subtopics and terms a comprehensive article should cover so search engines see it as complete. Group them into must-cover and nice-to-have.

7. AI answer engine queries

List 15 conversational questions people might ask an AI assistant about [topic], phrased the way they would type them into a chat. Suggest how an article could answer each one in a clear, quotable way.

Prioritisation turns a long list into a plan. DeepSeek V4 Pro is useful for methodical scoring, and GPT-6 Astra handles large clustering tasks well.

8. Search intent classifier

Classify each of these keywords by search intent — informational, commercial, transactional or navigational: [paste list]. For each, suggest the content format that best matches the intent.

9. Difficulty vs opportunity prioritiser

Here are keywords with their search volume, difficulty and my current ranking: [paste]. My site’s authority is roughly [describe]. Score each by opportunity and business value, and recommend the 10 to target first with a reason for each.

10. SERP analysis

Here are the top 10 results for [keyword]: [paste titles, URLs and snippets]. Describe what type of content ranks, the dominant intent, common angles, any SERP features and what a new page would need to compete.

11. Keyword clustering

Group these keywords into clusters that a single page could target: [paste list]. Name each cluster, choose a primary keyword for it and list the supporting keywords.

12. Business value scoring

Score these keywords from 1 to 3 for business value — how likely someone searching them is to become a customer for [product]: [paste list]. Explain the reasoning briefly for each.

13. Buyer journey mapping

Map these keywords to the buyer journey — awareness, consideration and decision: [paste list]. Suggest one content piece for each stage that links naturally to the next.

14. Striking-distance quick wins

Here is my Search Console data with queries, positions, impressions and clicks: [paste]. Find keywords ranking in positions 8–20 with high impressions, and suggest a specific on-page improvement for each.

This is where research turns into rankings. Condense competitor articles with the AI article summarizer, draft from your briefs with the AI blog writer, and use Gemini 3 Pro to analyse large exports in one go.

15. Competitor keyword gap finder

Here are keywords my competitor ranks for that I do not: [paste list with volumes]. Filter out irrelevant ones, group the rest by topic and recommend the five content gaps most worth filling.

16. Keyword cannibalisation auditor

Here are my pages and the keywords each one ranks for: [paste]. Identify pages competing for the same keywords, and recommend whether to merge, re-target or differentiate each pair.

17. Topic cluster map

Build a topic cluster around [core topic]: one pillar page with its target keyword and 8–12 supporting articles, each with a primary keyword and intent. Show how they should link together.

18. Keyword to content brief

Turn the keyword [keyword] into a content brief: search intent, a title under 60 characters, a meta description, an H2/H3 outline, questions to answer, related terms and internal link ideas.

19. Content refresh plan

Here is an older article and the queries it ranks for: [paste]. Suggest new keywords and subtopics to add, sections to update and a better title to recover or grow its traffic.

20. Internal linking by keyword

Here is a list of my pages and their target keywords: [paste]. Suggest internal links between them with natural anchor text based on each target page’s keyword, and flag any orphan pages.

21. Monthly keyword report

Turn this keyword ranking data into a monthly SEO report: [paste]. Highlight wins, drops and new opportunities, explain the likely causes and list next month’s priorities.

Chat Smith gives you Claude alongside GPT, Gemini, Grok and DeepSeek in one app, so you can expand, classify and prioritise keywords with the model that suits each step. Save your research prompts as templates and reuse them for every new site or topic.

Use Claude Haiku 4.5 for fast classification of long keyword lists. Get the research right, and every piece of content you publish has a better chance to rank.