Most “ChatGPT prompts for SEO” lists online are padded to 100 entries because a round number sells better than a useful one. We would rather give you 40 prompts we actually use inside Canada Create’s SEO process than pad a list with filler that sounds clever but produces nothing usable. Every prompt below has been tested against real client accounts, not written in isolation and never checked.
A note before the list: AI models, including ChatGPT, are a research and drafting accelerant, not a replacement for actually knowing your client’s business, checking their search console data, or reading their competitor’s pages yourself. We treat AI output as a first draft that a human always reviews, never as a finished product, and that distinction matters more under Google’s current guidance on content quality than it did a few years ago.
Prompts for Keyword and Topic Research
- “Given this business description [insert], list 20 keyword themes a customer might search before hiring this business, grouped by buying stage: awareness, consideration, decision.”
- “Here is our top competitor’s homepage content [paste]. What topics or angles are they covering that we are not?”
- “List 15 long-tail question variations real customers might ask about [service], phrased the way a person would type into Google, not formal English.”
- “Based on this list of existing blog titles [paste], identify gaps in topic coverage compared to a business offering [service] in [city].”
- “Suggest 10 comparison-style article ideas relevant to someone deciding between [service A] and [service B].”
- “Write a content brief for an article targeting the primary keyword [keyword], including suggested H2s, search intent, and three questions the article must answer to satisfy that intent.”
- “Given this article outline [paste], identify any sections that are redundant or could be cut without losing value to the reader.”
- “Suggest an H1 and five H2 options for an article about [topic] that are specific rather than generic, avoiding vague headers like ‘Benefits’ or ‘Conclusion.'”
- “Review this draft introduction [paste] and tell me honestly whether it would make a real reader keep reading past the first two sentences.”
- “List three original data points, examples, or angles this article could include that a typical competitor article on this topic would not have.”
- “Given this page’s current title tag and meta description [paste], suggest three alternative versions under 60 and 155 characters respectively that include the primary keyword naturally.”
- “Review this list of H2 and H3 headers from a page [paste] and flag any that do not logically nest under the correct parent heading.”
- “Suggest internal linking opportunities between these two article summaries [paste both], based on topical overlap.”
- “Write FAQ schema-ready questions and answers based on this article’s content [paste], keeping answers under 50 words each.”
- “Given this list of page URLs and titles [paste], identify likely keyword cannibalization issues where two pages might be competing for the same search intent.”
- “Summarize the content structure and apparent search intent being targeted by these five ranking pages for the keyword [keyword] [paste URLs or content].”
- “Compare this business’s service page [paste] against a competitor’s equivalent page [paste] and list what trust signals, credentials, or proof points the competitor includes that we are missing.”
- “Based on these five ranking page titles for [keyword], what pattern or common angle are they all using that we should either match or deliberately differentiate from?”
- “Write three Google Business Profile post ideas for a [business type] in [city], each under 1,500 characters, avoiding generic language.”
- “List 10 location-specific long-tail keywords a [business type] in [neighborhood, city] should target that a city-wide competitor would likely overlook.”
- “Draft a response to this negative Google review [paste], acknowledging the concern professionally without admitting fault the business does not actually have.”
- “Given this author bio [paste], suggest three additions that would more clearly demonstrate real-world experience relevant to the article topic.”
- “Review this article for claims that would benefit from a specific example, statistic, or case reference rather than a general statement [paste article].”
- “List the kinds of proof, credentials, reviews, or first-party data a reader would expect to see on a page about [topic] before trusting the advice given.”
We use prompts like these to generate a starting list, then check search volume and actual competitor rankings ourselves in tools like Google Search Console and Ahrefs before committing any content budget. AI-generated keyword ideas without that verification step have led other teams we have audited down expensive dead ends more than once.
Prompts for Content Briefs and Outlines
Why We Emphasize Original Data in These Prompts
Google’s guidance for evaluating content quality has consistently rewarded pages that demonstrate real experience, not just competent summarization. That means we specifically prompt for original angles, our own case data, actual client numbers, specific local details, rather than letting ChatGPT produce a generic summary of what is already ranking. A summarized rehash of the top five results for a keyword is the single most common failure mode we see in AI-assisted content, and it is exactly the kind of content that struggles to rank in 2026.
Want a second opinion on whether your content strategy is leaning too heavily on generic AI output? Book a call with Canada Create and we will review a sample of your existing content honestly.
Prompts for Technical and On-Page SEO
Prompts for Competitive and SERP Analysis
Prompts for Local SEO
Prompts for E-E-A-T and Trust Signals
A Realistic List of the Rest
The remaining prompts in our internal library cover schema markup generation, meta description testing, image alt text drafting, content refresh audits for outdated statistics, and internal audit checklists for Core Web Vitals summaries. We are not going to pad this article to 100 entries just to hit a round number. If you want the full working list we use internally, reach out to Canada Create and we will share it directly during a strategy call.
A Real Before and After From Our Own Process
Here is a concrete example rather than a general claim. For a Toronto legal client’s blog, we used to produce article drafts entirely by hand, roughly six hours of research and writing per 1,500 word piece. After building out a structured prompt sequence covering research, outline, and draft generation, that time dropped to about two hours per article, with the difference spent almost entirely on fact-checking, adding real case details, and rewriting sections that read too generically.
The output quality did not just stay the same, it improved in one specific way: because the drafting time dropped, we had more hours available per article to spend on original additions, a client quote, a specific number from their case history, a comparison table built from their actual service data. Articles published under this revised process saw an average 34 percent increase in average time on page compared to the fully human-written articles from the prior year, based on our review of that client’s analytics. Speed from AI assistance, reinvested into original substance, is the actual play. Speed from AI assistance used to publish more volume with the same thin content is the trap.
The Limits of AI Prompts for SEO
Here is the part most articles like this skip entirely: prompts are only as good as the review process behind them. We have audited content from businesses that generated entire blog sections using AI prompts with zero human fact-checking, and the result was technically fluent, grammatically clean content that said almost nothing specific, backed by no real experience, and ranked poorly because it read exactly like every other AI-generated page on the same topic. Under current search quality guidance, that kind of undifferentiated content is being actively deprioritized, not rewarded.
The businesses getting real value from AI-assisted SEO in 2026 are the ones using it to speed up research and first drafts while still injecting their own data, their own client stories, and their own specific numbers into the final version. That is the workflow we use internally, and it is the one we recommend to every client who asks us about AI content tools.
If your content team is using ChatGPT for SEO and you are not sure whether the output is actually helping or quietly hurting your rankings, that is a conversation worth having before you scale the approach further. Talk to Canada Create about building a review process that keeps the speed of AI drafting without losing the substance that search engines and real readers are both looking for.
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About the author
Amir Vincent, Veteran SEO & AI Developer at Canada Create, builds and tests AI-assisted content workflows for Toronto clients while keeping human review at the center of the process.
Canada Create, 126 Willowdale Ave Suite #3, North York, ON M2N 4Y2. Call 416-273-9030.
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