Generate 30 seed keyword ideas for [TOPIC]. Focus on the main problems, products, services and questions associated with this topic. Do not provide invented search-volume data.

Generate 30 long-tail keyword ideas related to [TOPIC]. Prioritise specific searches that indicate a clear user problem, question or goal.

Generate 30 questions people may search about [TOPIC]. Group them into beginner, intermediate and advanced questions.

List search phrases people might use when trying to solve problems related to [TOPIC]. Focus on real-world situations rather than generic terms.

Generate keyword ideas involving comparisons for [TOPIC]. Include alternatives, versus searches, comparisons, reviews and "which is better" queries.

Generate practical how-to keyword ideas related to [TOPIC]. Focus on searches where users want instructions or step-by-step help.

List keywords a complete beginner might search before understanding [TOPIC]. Start with basic definitions and gradually move toward practical questions.

Generate advanced keyword ideas for people who already understand [TOPIC]. Focus on specialised problems, optimisation and edge cases.

Generate alternative phrases people might use instead of [KEYWORD]. Include natural variations, related terminology and different wording.

Expand this keyword list with related ideas, questions, subtopics and use cases: [KEYWORDS]. Avoid duplicate or nearly identical phrases.

Analyse the likely search intent behind [KEYWORD]. Classify it as informational, navigational, commercial or transactional and explain why.

Group these keywords according to search intent: [KEYWORD LIST]. Create separate groups for informational, commercial, transactional and navigational intent.

Review these keywords and identify which ones may indicate strong purchase or conversion intent: [KEYWORDS]. Explain the signals you see.

Identify which keywords are primarily informational and explain what information the searcher is likely looking for: [KEYWORDS].

For [KEYWORD], describe what the searcher is probably trying to accomplish, what questions they may have and what a useful page should provide.

What underlying problem could someone be trying to solve when searching for [KEYWORD]? Give several possible interpretations without assuming one is definitely correct.

Cluster these keywords by shared search intent: [KEYWORDS]. Give each cluster a clear name and explain the common user goal.

Find keywords showing that a user may be researching a purchase, such as reviews, comparisons, alternatives, pricing or best options, for [PRODUCT/SERVICE].

Suggest the most appropriate content type for each keyword: [KEYWORDS]. Choose from guide, tutorial, comparison, review, category page, product page, FAQ or another suitable format.

Create a search-intent brief for [KEYWORD]. Include likely audience, goal, questions, expected content format and the information a useful page should provide.

Cluster these keywords into groups that could potentially be covered by the same page: [KEYWORDS]. Explain the reasoning behind each cluster.

Build a topical cluster around [MAIN TOPIC]. Identify one pillar topic and supporting subtopics that address different user needs.

List closely related topics that should be considered when creating comprehensive content about [TOPIC].

List important entities, concepts, terminology and related phrases associated with [TOPIC]. Organise them by relevance and explain their relationship to the main topic.

Create a keyword map for this website: [WEBSITE/NICHE]. Suggest primary topics and supporting keyword groups for each important page.

Review these existing pages and their target topics: [PAGES]. Identify cases where two pages may satisfy the same search intent and suggest how they could be differentiated.

Review my current keyword list: [KEYWORDS]. Identify important subtopics or user questions that appear to be missing.

Prioritise these keyword clusters based on audience value, business relevance, topical importance and content effort: [CLUSTERS]. Do not invent search-volume data.

Create a pillar-page plan for [TOPIC]. Include the main keyword concept, supporting sections, related questions and potential supporting articles.

Turn these keyword clusters into practical content ideas: [KEYWORD CLUSTERS]. Avoid creating separate articles when several keywords clearly serve the same intent.

Prioritise these keywords using business relevance, user intent, topical fit, estimated effort and potential value: [KEYWORDS]. Do not assume search volume without actual data.

Create a keyword strategy for a [BUSINESS TYPE] targeting [AUDIENCE]. Include informational, commercial and transactional topic opportunities.

Generate specific keyword ideas that may be less competitive because they target narrow questions, audiences or use cases. Do not claim that they have low keyword difficulty without tool data.

Identify keyword topics that could be valuable for a business selling [PRODUCT/SERVICE]. Explain the possible user need and business relevance.

Organise these keywords into awareness, consideration and decision-stage content: [KEYWORDS]. Explain the role of each group in the customer journey.

Identify potentially seasonal keyword topics for [NICHE]. Explain possible seasonal relevance and what should be verified with trend data.

Create a 30-day keyword and content plan for [WEBSITE]. Balance quick opportunities, supporting content and important long-term topics.

Generate local keyword ideas for [BUSINESS] in [LOCATION]. Include service, problem, location-specific and near-me style searches without keyword stuffing.

Turn these keywords into useful question-based content opportunities: [KEYWORDS]. Prioritise questions that can be answered with genuinely useful information.

Turn this keyword research into a structured report: [KEYWORD DATA]. Include themes, intent, priorities, content opportunities, gaps and items requiring further verification.

Analyse this keyword export: [DATA]. Group keywords by topic and intent, remove obvious duplicates and identify promising content groups. Do not change the original data without explaining what you changed.

Clean this keyword list: [KEYWORDS]. Identify duplicates, near-duplicates, irrelevant terms and ambiguous phrases. Preserve the original list separately.

Review this existing article: [ARTICLE]. Identify keyword concepts, questions and subtopics that the article naturally supports or could support after improvement.

Using only the competitor keyword data I provide: [DATA], identify topics they cover that my website does not. Separate clear gaps from topics that may not be relevant to my audience.

Create a starting keyword universe for a new website about [NICHE]. Organise it into core topics, supporting topics, questions and commercial opportunities.

Design a spreadsheet structure for managing SEO keywords. Include keyword, topic, search intent, target page, status, priority, notes and verified data fields.

Given these existing pages: [PAGES], suggest relevant keyword concepts each page could naturally address. Avoid assigning unrelated keywords simply to increase keyword count.

Review this old article: [ARTICLE]. Suggest new keyword concepts and related questions that may deserve consideration when refreshing it.

Create a repeatable keyword research workflow for [WEBSITE]. Start with seed topics and finish with keyword clusters, search-intent mapping, verified data, content priorities and a publishing plan.

Act as my keyword research assistant. Website: [WEBSITE] Niche: [NICHE] Audience: [AUDIENCE] Business goal: [GOAL] Generate and organise keyword ideas, identify likely search intent, create keyword clusters, suggest content opportunities and highlight information gaps. Never invent search volume, keyword difficulty, rankings, traffic or competition data. Clearly separate: 1. My provided data 2. Your analysis 3. Assumptions 4. Recommendations 5. Information that needs verification. Prioritise useful search intent and real audience needs over keyword repetition.