22 Perplexity Prompts for Marketing & SEO (2026)

List the top 10 ranking pages for the query "[keyword]" in [region], focusing on results from the last 12 months. For each result give: the URL, the page title, the content format (guide, listicle, tool, product page, forum thread), and one line summarizing the angle it takes. Present it as a numbered table and include the source link for every row.

I'm planning content around the seed keyword "[keyword]" for [audience/ICP]. Based on what currently ranks and what people search, group the related subtopics into 6–10 topic clusters. For each cluster give a suggested pillar title, 4–6 supporting article ideas, and the dominant search intent. Cite the pages or discussions that informed each cluster. Output as a table.

Find the most common questions people ask about "[topic]" — the kind that show up in People Also Ask boxes and search suggestions. Give me 20 real questions grouped by stage (awareness, consideration, decision), phrased the way searchers actually type them. Cite where each question pattern appears. Output as a grouped list.

Generate 30 long-tail keyword phrases and question queries related to "[keyword]" that [audience/ICP] in [region] would realistically search. Prioritize lower-competition, specific phrases over broad head terms. For each, note the likely intent (informational, commercial, transactional) and a source that suggests people search it. Output as a table. Note: treat any volume estimates as directional only.

Here is a list of keywords: [paste 15–30 keywords]. For each one, classify the dominant search intent (informational, navigational, commercial, transactional) based on what currently ranks for it, and recommend the best content type to target it (blog post, comparison page, product page, tool). Where the SERP is mixed, say so. Output as a table with a source link for the ranking evidence.

Use Research mode. Compare the content coverage of [competitor] against the topic "[topic]" for [audience/ICP]. Identify subtopics and questions that competitors rank for or cover well but that a new entrant could cover better or that nobody covers yet. List 10 specific content-gap opportunities, each with the evidence (a ranking page or a gap) and a cited source. Output as a table.

Analyze this page that ranks well for "[keyword]": [URL]. Break down why it likely ranks — its structure and H2/H3 outline, the subtopics and entities it covers, its word count range, the questions it answers, and the sources it cites. Then list 5 things a competing page would need to do to beat it. Cite comparable ranking pages where relevant.

Compare how [competitor A], [competitor B], and [competitor C] position [product] for [audience/ICP]. For each, summarize their core value proposition, the primary benefit they lead with, their pricing framing, and the tone of their messaging, using their own live pages. Then note the positioning white space none of them own. Cite each source. Output as a comparison table.

For these buyer questions about "[topic]": [list 5 questions], tell me which pages and brands you cite when you answer each one, and why those sources earn the citation (structure, data, authority, freshness). Summarize the common traits of the cited pages so I can reverse-engineer them. Output as a table listing question, cited sources, and the reason each was chosen.

Use the Social source. Find the real questions [audience/ICP] ask about "[topic]" on Reddit, Quora, and niche forums in the last 12 months. Give me 15 questions in the audience's own words, grouped by theme, and cite the specific thread for each. Note any recurring frustration or confusion that keeps coming up.

Use the Social source. For [audience/ICP] evaluating [product] or the category around "[topic]", find the most common objections, hesitations, and deal-breakers they raise, plus the triggers that make them start looking for a solution. Pull from real discussions and cite the threads. Output as two lists — objections and triggers — with a representative quote and source for each.

Use the Social source. Collect the exact phrases and words [audience/ICP] use when they describe the problem that "[topic]" solves — their pain points, desired outcomes, and the metaphors they reach for. Give me 20 verbatim snippets grouped by pain, desire, and comparison, each with a cited source. I want to mirror this language in headlines and copy.

Use the Academic source where possible. Give me 12 recent, citable statistics and trends about "[topic]" for [audience/ICP], from the last 12–18 months. Prioritize primary studies, surveys, and industry reports over blog restatements. For each stat include the exact figure, the year, the publishing organization, and a direct source link. Output as a table.

Build a content brief for the keyword "[keyword]" targeting [audience/ICP] in [region]. Include: 3 title options, the primary search intent, a full H2/H3 outline, the questions the piece must answer, the entities and subtopics to mention, a target word-count range based on what ranks, and the specific sources a writer should reference — with links. Base the outline on the pages currently ranking and cite them.

Give me 10 content-brief-ready angles for "[topic]" aimed at [audience/ICP] in [region], focused on the last 12 months. For each angle include a working title, the search intent it serves, why it's differentiated from what already ranks, and one supporting source. Skip generic angles that dozens of pages already cover well. Output as a table.

Create a comprehensive pillar-page outline for "[topic]" targeting [audience/ICP]. Cover the full topic so it can rank as the definitive resource and link to supporting articles. Provide the H1, an intro summary, every H2/H3 section, the questions each section answers, and suggested internal-link anchor topics. Base the coverage on what the top-ranking pages include, and cite them. Output as a nested outline.

I want to write a data-led post about "[topic]" for [audience/ICP]. Pull 8–10 recent, citable statistics (last 12–18 months, primary sources preferred), then propose a narrative structure that uses them: a headline stat to lead with, 3–4 sections each anchored to a figure, and a takeaway. Include every source link. Flag any stat that looks dated or weakly sourced.

Draft an FAQ section for a page about "[topic]" targeting [audience/ICP]. Use the real questions people ask (from search suggestions, People Also Ask, and forums), pick the 8 most valuable, and write a concise, accurate 2–4 sentence answer for each. Cite a source for any factual claim. Order the questions by likely search demand. Output as question-and-answer pairs.

I have a story about "[topic]" relevant to [audience/ICP] in [region]. Find 12 journalists, editors, or publications that have covered this beat in the last 12 months. For each, give the outlet, the person's name and role if available, a recent relevant article with its link, and one line on why they'd care. Cite every source so I can verify. Output as a table.

Find 15 pages that would be good link-building prospects for my resource about "[topic]" aimed at [audience/ICP]. Look for resource pages, roundups, and articles that link out to similar content or mention "[topic]" without a strong reference. For each, give the URL, why it's a fit, and the specific angle for the outreach. Cite each page. Output as a table.

Find 12 podcasts and newsletters that reach [audience/ICP] in [region] and regularly cover "[topic]". For each, give the name, the host or author, the audience focus, a recent relevant episode or issue with a link, and whether they take guests or sponsors if you can tell. Cite each source. Output as a table sorted by relevance.

Here are my outreach prospects for "[topic]": [paste list of names or outlets with links]. For each, research their recent work and give me one genuinely personalized outreach angle — a specific article, episode, or post to reference and why my content is a fit. Keep each angle to one or two sentences. Cite the source you based it on. Output as a table.