AI Prompts for Perplexity Prompts for SEO Keyword Research

What questions are people actually asking about [TOPIC] right now? Search forums (Reddit, niche communities), Q&A sites, and social discussions for the real phrasing people use. Group the questions by intent: beginners trying to understand, buyers comparing options, users troubleshooting, and skeptics doubting. Give me the exact question phrasings, since those become my keyword targets.

What new search terms are emerging around [TOPIC / INDUSTRY] that did not exist or barely registered a year ago? Look for new product names, new techniques, new slang, and new problems people describe. For each: what it means, evidence it is growing, and whether established sites are ranking for it yet. Early keywords with no incumbent content are my best opportunities.

Analyze what [COMPETITOR SITES: 2-3 URLS OR NAMES] rank for and publish about in [NICHE]. What topics do they cover heavily, and critically, what subtopics and questions do they NOT cover or cover thinly? Cross-reference with what people ask in communities about [TOPIC]. The gap between community demand and competitor coverage is my target list.

Take the seed keyword "[SEED KEYWORD]" and expand it into the long-tail landscape: modifier patterns people search ([FOR BEGINNERS / VS / BEST / HOW TO / COST / EXAMPLES]), audience-specific variants ([AUDIENCES]), use-case variants, and problem-phrased variants (how people describe the pain before knowing the solution term). For each cluster, assess intent and how competitive the current results look.

What seasonal, cyclical, or event-driven search opportunities exist around [TOPIC] in the next [3 / 6] months? Consider recurring cycles (seasons, holidays, fiscal deadlines, annual events in [INDUSTRY]) and one-time upcoming events (launches, regulation changes, conferences). For each: the likely search terms, when interest starts rising, and how far ahead I need to publish to rank in time.

For the keyword "[KEYWORD]", determine the true search intent: what does someone typing this actually want? Search the current top results and analyze what format Google rewards (guides, lists, tools, product pages, videos), what stage of the journey the searcher is at, and what the results suggest about the dominant intent. If intent is mixed, break down the sub-intents and which content type serves each.

Analyze the current top-ranking content for "[KEYWORD]": for each of the leading results, what angle it takes, roughly how comprehensive it is, what it covers well, and what it misses or handles poorly. Then synthesize: what would a piece need to include and do better to genuinely deserve to outrank these? Specific gaps, not generic advice to be more comprehensive.

For "[KEYWORD]" and its close variants, what do the current featured snippets and AI-generated answers say? What question phrasing triggers them, what format wins (paragraph, list, table), and what source gets cited? Then draft the exact answer block, question as heading plus a direct 40-60 word answer, that would compete for that placement, based on what is currently winning.

Realistically assess whether a [SITE DESCRIPTION: NEW SITE / NICHE BLOG WITH MODERATE AUTHORITY] can rank for "[KEYWORD]": who currently holds the top spots and how authoritative they are, whether any smaller or newer sites are ranking (the key signal that the door is open), and whether there is a more winnable variant of this keyword I should target first as a stepping stone.

Map the full question universe around "[KEYWORD]": the People Also Ask questions appearing in current results, the follow-up questions those lead to, and related questions people ask in forums that Google has not surfaced yet. Organize into a logical hierarchy from basic to advanced. This becomes my article structure and FAQ targets.

Organize my keyword research on [TOPIC] into a topic cluster plan: the pillar page (broad head term with the strongest commercial value), the 8-12 cluster pages (specific subtopics and long-tails, each targeting a distinct intent), and the internal linking logic between them. For each page: target keyword, supporting keywords, intent, and a working title. Flag which cluster pages are quick wins versus long-term plays.

Build a complete content brief for "[TARGET KEYWORD]": search intent summary, recommended format and length based on what currently ranks, the outline with H2/H3 structure covering everything top results cover plus the gaps we identified, questions to answer explicitly (PAA and forum questions), entities and subtopics that must appear, suggested title options, and the differentiating angle. A writer should execute this without further research.

I have existing content: [URL / DESCRIPTION OF EXISTING PIECE] and I am considering targeting "[KEYWORD]". Based on what currently ranks: should I update the existing piece or create a new one? Consider keyword cannibalization risk, whether the existing piece’s intent matches, and what specific additions would make the winner competitive. Give a clear recommendation with reasoning.

For my [PRODUCT / SERVICE: DESCRIPTION], map the commercial keyword set: the money keywords (buyer-intent terms like [BEST / PRICING / ALTERNATIVES / VS COMPETITOR]), what currently ranks for each and whether review sites or competitors own the results, and which comparison and alternative pages I should build. Prioritize by purchase intent strength and realistic ranking odds.

Turn this keyword research into a [4 / 8]-week publishing calendar: sequence the pieces so early wins build authority for harder targets, quick-win long-tails first, cluster pages next, pillar last (or the reverse if the pillar exists). For each week: the piece, target keyword, format, and why it is sequenced there. Account for my capacity of [N] pieces per week.

Check the current state of the results for my target keywords: [LIST 5-10 KEYWORDS]. For each: what ranks in the top positions now, whether the result composition changed recently (new formats, new players, AI answers appearing), and any signal that intent is shifting. Flag keywords where the SERP changed enough that my content strategy for them needs revisiting.

My page targeting "[KEYWORD]" has been slipping. Diagnose why by analyzing what currently outranks it: what do the rising pages have that mine ([MY PAGE URL / DESCRIPTION]) lacks? Fresher data, better format match, more complete coverage, stronger expertise signals? Produce the specific refresh checklist that would restore competitiveness, ordered by likely impact.

Build a refresh brief for my [AGE]-old article on [TOPIC]: what has changed in the topic since publication (new developments, new tools, changed best practices, dead references), what new questions people now ask that it does not answer, what current top results include that it lacks, and which sections to rewrite versus keep. Cite sources for every claimed change so I can verify.

Scan for new competition in [NICHE]: sites or creators that started ranking or publishing aggressively on my topics in recent months, their content strategy and quality level, which of my target keywords they are moving on, and their apparent weaknesses. End with a threat assessment: which of my rankings are most at risk and what would defend them.

Run my quarterly SEO review for [SITE / NICHE]: which topics gained or lost search interest this quarter, what new keyword opportunities emerged, which of my target SERPs changed materially, what Google algorithm or feature changes were announced or observed, and how AI answers are affecting clicks in my niche. End with the top five strategy adjustments for next quarter, each with evidence.