50 ChatGPT Prompts for SEO That Actually Work

Most "ChatGPT SEO prompt" lists fail for the same reason: the prompts are vague. "Write a 1,500-word SEO blog post about running shoes" gives the model no role, no constraints, and no real inputs — so it returns the average of everything it has seen. Average content does not rank and does not get cited.

Every prompt in this guide follows that pattern. You will see brackets like [keyword], [URL], and [competitor 1, 2, 3] — replace them with real inputs before you run the prompt. The output still needs a human pass for accuracy and voice, but you start from something specific instead of something generic.

A quick note on where this fits: ChatGPT is a drafting and analysis tool, not a publishing engine. For the deeper mechanics of using the model across a full workflow, see how to use ChatGPT for SEO. This post is the prompt library. Bookmark it and pull from the category you need.

Keyword clustering is where ChatGPT earns its keep. It cannot pull live search volume, but it is excellent at grouping intent and mapping a topic space. Feed it a seed and let it structure the territory.

1. You are an SEO strategist. Take this seed keyword: [keyword]. Generate 40 related search queries grouped by intent (informational, commercial, transactional, navigational). Return as a table with columns: Query, Intent, Suggested Page Type.

2. Cluster these keywords into topic groups where each group could become one page targeting a shared intent. Keywords: [paste list]. Return groups with a suggested pillar title for each.

3. For the keyword [keyword], list the 15 questions a buyer asks before, during, and after purchase. Label each with the buying stage.

4. Act as a competitor analyst. Here are three ranking pages for [keyword]: [URL 1, 2, 3]. Infer the subtopics they all cover and list gaps none of them address.

5. Generate 20 long-tail variations of [keyword] that show clear commercial intent. Exclude informational queries.

6. Map [seed topic] into a topic cluster: one pillar page and 8-12 supporting articles. Return as a hierarchy with a one-line rationale per supporting page.

7. Identify the parent topic and 5 sibling topics for [keyword] so I can build [topical authority](/blog/topical-authority-complete-guide) rather than a single orphan page.

8. For [keyword], list synonyms and semantically related entities a search engine would expect to see on a comprehensive page. Group by entity type.

9. Take this list of keywords and flag any that are actually the same intent and would cannibalize each other: [paste list].

10. Suggest 10 comparison-style keywords ([X] vs [Y]) relevant to someone researching [category].

11. Generate 15 "best [category] for [use case]" keyword variations for the [industry] space.

12. For each keyword in this list, suggest the single best page type (blog post, comparison, product page, tool, glossary): [paste list].

The output from prompt 2 maps directly onto a content cluster. Do not treat the clusters as final — validate volume and difficulty in a real keyword tool — but ChatGPT gets you 80% of the structure in one pass.

A content brief is the highest-leverage use of ChatGPT in SEO. A strong brief makes the writer's job faster and the output more consistent. These prompts build briefs, outlines, titles, and metadata.

13. You are a senior content editor. Write a content brief for an article targeting [keyword]. Include: search intent, target reader, 6-8 H2 sections with a sentence each, questions to answer, entities to mention, and a suggested word count.

14. Create an outline for [keyword] structured so an AI model could extract a direct answer from the first section. Front-load the answer.

15. Write 10 headline options for an article about [topic]. Mix question-format, list-format, and how-to. Keep each under 60 characters.

16. Write a meta title (under 60 chars) and meta description (under 155 chars) for a page targeting [keyword]. Include the keyword naturally.

17. Given this draft intro, rewrite it so the direct answer to [query] appears in the first 40 words: [paste intro].

18. List the 8 subtopics a comprehensive page on [keyword] must cover to satisfy search intent. For each, note whether it is a must-have or nice-to-have.

19. Suggest 5 original angles for [topic] that most existing content misses. Explain why each is under-covered.

20. Write an FAQ section for [keyword]: 6 questions people actually type, each with a 2-3 sentence answer. Base the questions on real search behavior.

21. Turn this rough set of notes into a logical article outline with H2s and H3s: [paste notes].

22. Given my draft, identify claims that need a source or a statistic to be credible: [paste draft].

23. Rewrite these section headings so each one signals its content clearly to both readers and AI models: [paste headings].

24. Write a 3-5 sentence key takeaway box that answers [query] as a self-contained summary a voice assistant could read aloud.

25. Draft a comparison table for [X] vs [Y] vs [Z] with 6 decision-relevant rows. Keep cells factual and short.

26. Review this outline for topical gaps a competitor covers that I do not: [paste outline] versus [competitor URL].

Prompts 14, 20, and 24 target AI-citability specifically. Content with structured sections and expert attribution is cited roughly 65% more often by AI models, per a 2026 study from Outrigger — so structure is not cosmetic, it is a ranking and citation input. For deeper FAQ mechanics, see FAQ optimization for AI search.

ChatGPT is strong at the mechanical, structured tasks SEOs often skip because they are tedious: generating schema and mapping internal links. Verify the output, but the first draft is usually solid.

Schema markup (27-32):

27. Generate valid JSON-LD FAQPage schema for these questions and answers: [paste Q&As]. Output only the JSON.

28. Write Article schema (JSON-LD) for a post titled [title], authored by [name], published [date], on the topic [topic]. Include author and publisher.

29. Generate Organization schema for [company] including name, URL, logo, sameAs social profiles [list], and a description.

30. Create Product schema for [product] with name, description, brand, and offers. Flag any required field I have not given you.

31. Write BreadcrumbList schema for this page path: Home > [Category] > [Page].

32. Review this JSON-LD for errors and missing recommended properties: [paste schema].

Internal linking (33-38):

33. I am publishing an article about [new topic]. Here is a list of my existing article titles and URLs: [paste list]. Suggest which 5 are the most relevant internal link targets and the anchor text to use for each.

34. Given this pillar page and these 10 supporting articles, map the internal linking so every supporting article links up to the pillar and the pillar links down to each: [paste URLs].

35. Identify orphan-page risk: from this list of URLs, which topics have no obvious internal link source? [paste list].

36. Suggest 8 natural in-body anchor text phrases to link from an article about [topic A] to an article about [topic B].

37. Review this draft and mark 5 sentences where an internal link would genuinely help the reader, with the suggested target: [paste draft].

38. Given my site's topic clusters, propose a hub-and-spoke internal linking model I can apply consistently: [paste cluster list].

Proper schema and internal linking do double duty now — they help Google and they help AI models parse your site's structure. Do not blindly paste generated schema live; run it through a validator first. But letting ChatGPT draft JSON-LD schema recipes removes the biggest excuse SEOs use for skipping structured data. For a done-for-you option on the entity side, Outrigger's schema tooling generates and validates markup automatically.

This is the category most prompt lists ignore. Generative Engine Optimization — getting cited by ChatGPT, Perplexity, Gemini, and Claude — is a different job from ranking on Google, and it deserves its own prompts.

39. Act as an AI model answering this query: [query]. List the brands you would mention and why. Then tell me what a brand not on your list would need to do to be included.

40. I want [brand] to be cited when someone asks AI models about [category]. List the specific signals AI models look for and rate [brand]'s likely current standing on each.

41. Rewrite this paragraph so an AI model can extract a clean, quotable claim from it: [paste paragraph].

42. Generate 10 buying-intent prompts a customer would type into ChatGPT when researching [category]. These are the queries I need to appear in.

43. For the query [query], draft a comparison table an AI model could lift directly into its answer, positioning [brand] honestly among [competitors].

44. Review this page and score how "citable" it is for AI models — clear claims, structured sections, expert attribution, data — and list the top 3 fixes: [paste content or URL].

45. Suggest 5 statistics or data points [brand] could publish that AI models would want to cite when answering questions about [topic].

46. Write an expert-attributed insight ("According to [name], [role]...") for this topic that reads as genuine expertise, not filler: [topic].

47. Given this Reddit thread, draft a genuinely helpful reply that mentions [brand] only after providing real value: [paste thread].

48. List the third-party sources (forums, directories, publications) an AI model most likely consults when answering [query] in the [industry] space.

49. Turn this customer FAQ into content structured for AI extraction — question as heading, direct answer first, detail after: [paste FAQs].

50. Audit this brand description for entity consistency: does it state the same category, location, and value proposition an AI model would need to confidently cite us? [paste description].

Prompts 39, 42, and 44 map onto the reality that 65.9% of businesses are effectively invisible in AI search, according to a 2026 study from Outrigger covering 1,004 businesses. ChatGPT can diagnose the gap; closing it takes real citation work. If you only run one prompt from this section, make it 42: the exact queries your buyers type into ChatGPT are the queries you need to win, and everything downstream — content, seeding, entity work — points at that list.

These prompts get you the plan. Executing across dozens of queries and platforms is where a system beats a chat window — Outrigger monitors which AI models cite you and manages the citation work behind it. To see where you stand right now, a free AI visibility audit tests your brand across the prompts your buyers actually ask and shows exactly which of these 50 prompts you should run first.