Content updated: 2 October 2026. Guide first published: 10 July 2026. Linked research retains its stated source dates.
A useful ChatGPT SEO prompt names the task, supplies your source material and states what the output must contain. For example, give a page-rewrite prompt the current copy, intended audience, question to answer and verified evidence; ask it to preserve qualifications and flag missing facts. This produces a draft you can assess, not a guaranteed ranking or citation improvement. My free SEO prompts tool contains 20 templates organised by task; this guide explains the inputs and checks to use with them.
Why Most ChatGPT SEO Prompts Fail
A generic request such as "optimise this page for SEO" can produce advice about keywords, sentences or metadata without identifying the page's actual problem. Give the model the page, user question and evidence, and ask it to explain each proposed change. Check those reasons before using the rewrite.
For a content-planning prompt, semantic SEO provides a way to organise entities, attributes and user questions. Supply the actual page and query evidence, then ask for missing answers and a proposed structure. Review the output against the sources and existing URLs. This is an editorial workflow, not proof that search engines rank pages by a single entity-coverage formula.
Eight SEO tasks you can use prompts for
The library covers eight stages of the content and technical SEO workflow. Each prompt is copy-paste ready with bracketed placeholders for your own keyword, URL, or content.
Keyword and demand research. Supply real queries from Search Console or a customer-question list. Ask the prompt to group them by intent and task, suggest page types and mark ambiguous rows. If you start from a seed query instead, treat generated related questions as hypotheses to verify, not measured search demand.
Topical maps and authority. Supply your existing URLs, their topics and the queries each page serves. Ask for a proposed topic map and gaps, with a reason to update an existing page or create a new one. Check competing page assignments before writing; a ROOT/NODE label alone does not prevent cannibalisation or prove topical authority.
Content briefs. Give the model the target question, audience, relevant source extracts and your own verified evidence. Ask for the direct answer, supporting sections, comparison criteria and facts still needing research. If the prompt needs SERP analysis, provide the actual results or use a browsing-capable workflow; the model should not invent what currently ranks.
Writing and optimisation. Supply the draft and its verified claims. Ask for clearer answers, meaningful headings and subject names where detached passages would be ambiguous, while retaining exceptions and sources. For titles and descriptions, request accurate alternatives within your chosen editorial limits; character count does not guarantee how Google displays a snippet.
Schema and technical. Supply the visible page facts, required schema type and confirmed author or organisation details. Ask for JSON-LD with missing values flagged, then validate the output and check it matches the page before publishing. Generated markup is a draft, not guaranteed valid code or eligibility for a rich result. The semantic markup guide explains the implementation.
Internal linking. Supply a list of existing URLs and a short description of each page. Ask for contextual link opportunities with a reason, destination and natural anchor text. Open each destination and check that it answers the promised question; reject invented URLs and links that duplicate an existing page's role.
AEO and GEO. Give the prompt a target buyer question, the current passage and its supporting sources. Ask whether the passage identifies its subject, answers the question and keeps its scope, date and exceptions with the claim. A clearer passage may be easier to interpret in isolation, but this library has not tested a citation uplift. Google says no special AI markup is required for AI Overviews or AI Mode; see its AI-feature guidance and the LLM optimisation guide.
Local SEO. Supply the business's real services, address or service area and operating details. Ask for a draft profile description or location-page outline that reflects those facts. Confirm available Business Profile categories in the live product, and remove invented locations, reviews or claims of local experience before using the output.
free prompts in the SEO prompts library
prompt categories covering the SEO and AEO/GEO workflow
How to Chain Prompts Into a Method
To chain SEO prompts, pass reviewed evidence forward rather than treating the model's first output as fact. First group your real queries and confirm the intent. Next assign questions to existing or proposed URLs. Then create one page brief, draft or revise the page, and check facts, links and any schema before publishing. Keep the source list and unresolved questions at each handoff; this is a planning method, not a measured ranking intervention.
Pass each reviewed output to the next prompt with its supporting sources and unresolved questions. The sequence helps organise a content project; it is not a complete SEO method or evidence that the resulting pages will rank.
Pass each reviewed output to the next prompt with its supporting sources and unresolved questions.
Common Mistakes When Using AI for SEO
Treating output as finished copy. AI can help with research, structure and drafts, but the output may still contain errors or miss the user's need. Review its evidence and usefulness before publishing. Every output from this library is a starting point, not a tested ranking intervention.
Skipping fact verification. Language models generate plausible-sounding claims that are sometimes wrong. Verify every statistic, date, and factual claim before publishing, especially in Your Money or Your Life topics such as health, finance, or legal content, where an unverified claim carries real risk to the reader and to your site's E-E-A-T signals.
Running prompts without the page context. A brief can repeat content you already have or assign the same question to several URLs. Give the model the relevant existing pages, review page ownership and carry verified inputs between tasks. The topical authority guide explains the wider planning approach.
Give the model the relevant existing pages, review page ownership and carry verified inputs between tasks.
Skipping output checks when changing models. The templates can be tried in ChatGPT, Claude or Gemini, but model capability, browsing access and supplied context can change the result. Compare outputs on the same task and verified sources; do not assume any model can see current search results or your analytics automatically.
Frequently Asked Questions
Are ChatGPT prompts actually useful for SEO?
ChatGPT prompts can help draft keyword groups, briefs, rewrites and technical suggestions when you provide the task, source material and required output. Check facts, intent, links and code before using the result. The 20-template library has not been evaluated as a controlled ranking or AI-citation experiment, so a usable draft is the immediate outcome to assess.
Can I use these prompts with Claude or Gemini instead of ChatGPT?
Yes. The templates use general instructions rather than a ChatGPT-specific API. Try them in Claude or Gemini with the same source material and checks. Browsing, analytics access and output quality depend on the product, mode and permissions; selecting Gemini does not automatically connect a prompt to your Google data.
Is AI-generated SEO content ready to publish as-is?
No. Treat AI-generated SEO content as a draft. Check its facts, sources, usefulness, links and any code before publishing. Accurate data and editing support quality, but do not guarantee search rankings. Take particular care with health, finance and legal claims, where an incorrect answer can harm the reader.
What order should I run these prompts in?
Start with verified queries and intent, assign the questions to existing or proposed URLs, then create a brief and draft. Review each output before passing it onward. Finish with fact, link and schema checks. This sequence organises the work; it does not establish that publishing the output will build authority or improve rankings.
Related Articles
- Free SEO Prompt Library: all 20 prompts, searchable and copy-paste ready
- What is LLM Optimisation?: how AI systems decide what to cite
- Optimise Content for AI Search: the 7 patterns that earn AI citations
- SEO Semantic Markup Guide: schema and semantic HTML explained in full
- What is Semantic SEO?: the methodology the prompts are built on
Want the method applied to your own site instead of running the prompts yourself? Get in touch for a free initial conversation.
