100+ SEO Prompts That Actually Work

By Amit Patel

Most “SEO prompts” lists are 20 vague one-liners padded with filler. This one has 106, grouped by the actual job you’re doing, written so you can paste them into ChatGPT, Claude, or Gemini with only the bracketed variables to fill in. For the reasoning behind why these patterns work — and where prompts fail — see our prompt engineering principles guide. For an interactive version of a smaller curated set, try the AI Prompt Library tool.

Keyword Research (12)

• List 20 long-tail variations of [seed keyword] grouped by search intent (informational, commercial, transactional).
• Given this list of keywords [paste list], cluster them into topic groups a single article could realistically rank for.
• What questions do people ask about [topic] on forums and Reddit? List 15, phrased as they’d actually type them.
• Compare the likely search intent behind “[keyword A]” vs “[keyword B]” — are these the same intent or should they be separate pages?
• Suggest 10 keyword variations for [topic] that a beginner would search but an expert wouldn’t think to target.
• Given this page targeting [keyword], what related entities and subtopics is it likely missing?
• List the commercial-intent modifiers (best, vs, alternative, pricing, review) that apply to [product/topic].
• What’s the likely monthly search volume tier (low/medium/high) for [keyword] based on how specific and niche it is?
• Turn this list of head terms [paste list] into 5 content pillar ideas with 8-10 supporting article ideas each.
• What seasonal or trending angle could make [topic] newsworthy right now?
• Identify cannibalization risk: do these two planned articles [title A] and [title B] target the same intent?
• Suggest keyword variations for [topic] specifically phrased as questions people would ask an AI assistant, not a search bar.

Content Briefs (12)

• Write a content brief for an article targeting “[keyword]”: recommended word count, search intent, and 8-10 H2 sections.
• Given these 3 competing articles [paste URLs or summaries], what do all three cover that I should include, and what’s missing from all three?
• Draft an outline for a comparison article: [Product A] vs [Product B], covering the 6 dimensions readers actually care about.
• What’s the ideal structure for a “complete guide to [topic]” — beginner-friendly opening, then progressively more advanced sections?
• List 8 subtopics a truly comprehensive article on [topic] would need to avoid feeling thin.
• Suggest a working title and meta description for an article about [topic] targeting the keyword “[keyword]”.
• What FAQ questions should close out an article on [topic], based on what people actually ask?
• Given this brief [paste brief], flag any section that’s likely to duplicate an existing page on the site.
• Suggest 3 different angles for covering [topic] so the article isn’t a generic rehash of what’s already ranking.
• What primary research or original data point could make an article on [topic] more citable than competitors?
• Draft a brief for a “beginner’s guide” version and a “technical deep-dive” version of the same topic — how should they differ?
• What internal pages should a new article on [topic] link out to, based on this site’s existing content on [related topics]?

Titles & Meta (10)

• Write 8 title tag options for an article on [topic], each under 60 characters, each with a different hook (number, question, benefit, urgency).
• Write a meta description under 155 characters for [topic] that states the specific value, not just the topic.
• Does this title tag [paste title] accurately reflect what the article covers, or is it overpromising?
• Suggest an H1 for [topic] that’s different from the title tag but still keyword-relevant.
• Rewrite this title [paste title] to be more specific and less generic, keeping it under 60 characters.
• What’s a title format that signals “tested/firsthand” rather than “generic roundup” for [topic]?
• Suggest 5 alternate title angles for [topic] that would work for a comparison, a how-to, a list, a myth-busting piece, and a data piece.
• Write an Open Graph title and description for [topic] optimized for click-through on social, not search.
• Does this meta description [paste] use unsupported superlatives (“best”, “#1”, “ultimate”) that should be toned down?
• Suggest a title for [topic] that would also work well if voiced aloud by an AI assistant answering the same question.

On-Page Optimization (12)

• Review this article [paste text] for topical completeness against the keyword “[keyword]” — what’s missing?
• Identify weak or vague sentences in this paragraph [paste] and suggest more specific, concrete rewrites.
• Does this article answer its own H2 headings directly in the first sentence after each heading?
• Suggest 5 internal link opportunities within this article text [paste], pointing to plausible existing site topics.
• Rewrite this intro paragraph [paste] to state the specific value in the first two sentences instead of building up to it.
• Where in this article [paste] would a comparison table improve clarity over prose?
• Suggest alt text for these image descriptions [list] that’s descriptive rather than keyword-stuffed.
• Does this article make any claim that needs a citation or source link to be credible?
• Identify passive-voice sentences in this text [paste] and rewrite them in active voice.
• Suggest a better closing section for this article [paste] — one that gives a clear next step, not just a summary.
• Does the first 100 words of this article [paste] make the topic and value clear without scrolling?
• Suggest 3 places in this article [paste] to add a specific number, date, or named example instead of a vague claim.

Technical SEO (10)

• Explain what this robots.txt rule [paste rule] actually blocks and whether it’s blocking anything unintended.
• Given these URL patterns [paste], suggest a canonical strategy to avoid duplicate content.
• What’s the difference in practical effect between a 301 and a 308 redirect for this URL change [describe]?
• Review this hreflang setup [paste] for common mistakes (missing return tags, wrong language codes).
• Suggest a pagination strategy (rel=next/prev vs self-canonical vs noindex) for this URL pattern [describe].
• Does this page need a canonical tag pointing elsewhere, given [describe duplicate scenario]?
• What would cause Google to index a page marked noindex, and how would I confirm the tag is actually rendering?
• Explain in plain English what this crawl error [paste error] means and what usually causes it.
• Suggest a URL structure for a new content section on [topic] that stays consistent with this existing pattern [describe].
• Given this sitemap entry count discrepancy [describe], what are the 3 most likely causes to check first?

Schema & Structured Data (10)

• Suggest which schema type (Article, FAQPage, HowTo, Product) fits this page [describe content] and why.
• Given this page content [paste], draft FAQPage JSON-LD for the actual Q&A it contains — don’t invent questions it doesn’t answer.
• Review this JSON-LD [paste] for required-property errors against schema.org’s spec for [type].
• Would adding HowTo schema help or hurt this article [describe], given Google’s current treatment of HowTo rich results?
• Suggest BreadcrumbList schema for this page hierarchy: [describe path].
• Does this page have duplicate schema types in its JSON-LD that should be deduplicated?
• Draft Organization schema fields for [business], only including fields I actually have real data for.
• What’s the minimum valid Product schema for [product], and which optional fields actually help rich results?
• Review this schema [paste] for any field values that look placeholder/fake rather than real page data.
• Suggest a DefinedTerm schema entry for this glossary term: [term] — [definition].

Content Refreshes (10)

• Given this article’s current text [paste] and today’s date, what parts are now outdated or need a year updated?
• Compare this article [paste] against the current top 3 ranking pages for [keyword] — what do they cover that this doesn’t?
• Suggest which sections of this article [paste] to expand, which to trim, and which to leave alone.
• Does this article cite any statistic that’s now more than 18 months old and should be re-verified?
• What new subtopic has emerged around [topic] in the last year that this article should address?
• Suggest an updated title and intro for this article [paste] to reflect the current year without changing the URL.
• Given this traffic/ranking data [describe], is this page’s problem topical (missing content) or technical (crawl/indexing)?
• Identify any broken or outdated internal links in this article text [paste].
• Suggest 3 new FAQ questions to add to this article based on what’s now commonly asked about [topic].
• Does this article’s original angle still make sense, or has the topic shifted enough to need a rewrite, not a refresh?

Internal Linking (10)

• Given this new article on [topic], suggest 5 existing pages on the site it should link to and the anchor text for each.
• Given this list of site pages [paste titles/URLs], which ones should link to this new page on [topic]?
• Suggest a logical pillar-to-cluster linking structure for these related articles [list titles].
• Does this article [paste] have any internal links using generic anchor text like “click here” that should be more descriptive?
• Identify orphaned pages in this site structure [describe] that have no incoming internal links.
• Suggest 3 places in this pillar page [describe] where a new article on [topic] should be added to the hub grid.
• Given these two related articles [A] and [B], where should each link to the other, and with what anchor text?
• Suggest a “related articles” set of 4 links for this article on [topic], prioritizing genuine topical relevance over recency.
• Does this internal link structure [describe] create excessive links from one page (over ~100), which can dilute link equity?
• Suggest anchor text variations for linking to [target page] from 5 different contexts across the site.

Reporting & Analysis (10)

• Summarize this Search Console data [paste/describe] in plain English for a non-SEO stakeholder.
• Given this traffic change [describe: dates, percentage, pages affected], suggest the 3 most likely causes to investigate first.
• Turn this list of ranking changes [paste] into a short weekly update: what improved, what dropped, what to watch.
• Given these top query/page pairs [paste], identify pages that are ranking but not being clicked (high impressions, low CTR).
• Explain what a rising “average position” number combined with falling clicks usually means.
• Summarize month-over-month GA4 trends [paste data] into 3 bullet takeaways for a monthly report.
• Given this list of pages losing rankings [paste], group them by likely shared cause (technical, content, competitive).
• Draft an executive summary of this quarter’s SEO performance from this data [paste key numbers].
• What questions should I ask before trusting this reported traffic spike [describe] as organic, not a tracking artifact?
• Given this competitor’s new content [describe], what’s the realistic risk to our current rankings for [keyword]?

AI Search / GEO (10)

• Would this page [paste content] plausibly get cited by an AI Overview answering ““? What’s missing if not?
• Suggest a direct-answer opening sentence for this section [paste] that an AI assistant could quote verbatim.
• Does this article structure its content in extractable chunks (clear headings, direct answers) or as flowing narrative that’s hard to quote?
• Given this FAQ section [paste], are the answers self-contained enough to be lifted out of context by an AI summary?
• Suggest which entities (people, tools, concepts) this article should name explicitly rather than refer to vaguely.
• What would make this page a better candidate for citation by ChatGPT or Perplexity when answering ?
• Review this content [paste] for claims that need a named, checkable source to be trustworthy to an AI crawler.
• Suggest a one-sentence summary of this article that could serve as its own “answer” if quoted out of context.
• Does this page’s title and H1 match the actual question a user would type into an AI assistant?
• Given this topic [describe], what’s a genuinely original data point or test we could publish that AI systems would want to cite?

Frequently Asked Questions

Do these prompts work the same in ChatGPT, Claude, and Gemini?

Mostly yes — they’re plain task instructions, not tool-specific syntax. Claude and GPT-4-class models handle the longer, multi-constraint prompts (briefs, schema) best; simpler prompts work fine everywhere.

Why 106 and not a round “100”?

Because that’s the actual count once duplicates and filler were removed — this page states what it delivers rather than rounding to a marketing number.

Should I paste these prompts exactly as written?

Fill in the bracketed variables ([keyword], [topic], pasted text) — the prompts are templates, not literal scripts. Adjust wording to match your actual context.

How is this different from the AI Prompt Library tool?

The AI Prompt Library is an interactive, curated set of the highest-use prompts with copy buttons. This article is the fuller reference list, organized by task, meant for browsing and adapting rather than one-click copying.

Do I need to tell the AI which SEO tool or plugin I use?

Only when it changes the answer — schema and technical prompts benefit from naming your CMS or plugin (e.g. “this site runs Rank Math”) so the model doesn’t suggest something you can’t implement.