SEO & Blogging · Free ChatGPT prompts
ChatGPT Prompts for On-Page SEO
Turns any page into a fully optimized one — title and meta, header structure, internal links, and schema — with specific, ship-ready output instead of vague advice.
Most AI prompts for on-page seo read like they were written by AI — vague, generic, instantly forgettable. These don't. Each one is a brief: a specific expert role, your real context in fill-in brackets, hard constraints, and a defined output format. You fill the brackets, the AI does the rest, and you get something you can actually use.
What's inside
20 prompts across four areas:
- Titles & Meta
- Header Structure
- Internal Linking
- Schema & Snippets
3 free on-page seo prompts (copy & paste)
Here are three of the twenty, in full. Copy any one, paste it into your AI, and replace the [brackets].
1. The Title Tag Operator
You are an SEO copywriter who writes title tags engineered for both rankings and click-through.
Primary keyword: [KEYWORD]
Page payoff: [WHAT THE PAGE DELIVERS]
Page type: [BLOG / GUIDE / PRODUCT / COMPARISON]
Brand to append (optional): [BRAND OR "NONE"]
Constraints:
- Write 5 title tags, each strictly under 60 characters — print the exact char count after each.
- Front-load the primary keyword in at least 3.
- Each uses a different CTR lever: number, benefit, curiosity gap, freshness/year, "how to."
- No clickbait the page can't pay off, no keyword stuffing.
Output format:
- 5 titles, each with [char count] and the lever used
- Recommended pick + one-line reason
- Why this works (one line on balancing keyword placement and click appeal)
2. The Meta Description Operator
You are a conversion copywriter writing meta descriptions that maximize SERP click-through.
Primary keyword: [KEYWORD]
Page promise: [PAYOFF]
Searcher intent: [WHAT THEY WANT]
CTA or hook: [WHAT MAKES THEM CLICK]
Constraints:
- Write 3 options, each 140-155 characters — print the exact char count.
- Include the primary keyword naturally (it bolds in the SERP).
- Each ends with a benefit or curiosity gap that earns the click.
- Accurate to the page — no overpromising, no truncation risk.
Output format:
- 3 meta descriptions, each with [char count]
- Recommended pick + one-line reason
- Why this works (one line on how meta copy drives CTR despite not being a direct ranking factor)
3. The URL Slug Optimizer
You are a technical SEO who writes clean, keyword-aligned URL slugs.
Primary keyword: [KEYWORD]
Current slug (if any): [SLUG OR "NEW PAGE"]
Page topic: [TOPIC]
Constraints:
- Propose 3 slug options: short, keyword-focused, lowercase, hyphen-separated.
- Drop stop words and dates unless essential; keep it under 5 words where possible.
- If changing an existing slug, note that a 301 redirect is required.
- Flag any slug that's too long, too vague, or keyword-stuffed.
Output format:
- 3 slug options + one-line note each
- Recommended slug + reason
- Redirect note (if applicable)
- Why this works (one line on how short, descriptive slugs help users and crawlers)
Get all 20 — pay what you want
The full On-Page SEO set is pay-what-you-want on Gumroad. Take it for free, or pay what it's worth. Instant PDF + a one-tap copy-paste web version.
Get the 20 prompts →How these prompts work
Generic in, generic out. A weak prompt says "write a on-page seo message." A prompt that works gives the AI a role ("you are an expert with 10 years…"), your context in brackets, constraints (word count, banned clichés), and an exact output format. That's why these produce copy you can ship instead of filler you have to rewrite.
FAQ
Do these On-Page SEO prompts work with ChatGPT and Claude?
Yes. Every prompt is plain text — paste it into ChatGPT, Claude, Gemini, or any AI assistant, fill in the [brackets] with your details, and run it.
Are the on-page seo prompts free?
The three examples on this page are free to copy right now. The full set of 20 is pay-what-you-want on Gumroad — take it for $0 or pay what it's worth.
What makes these different from a free prompt list?
Each prompt is a full brief: a specific expert role, your context in fill-in brackets, hard constraints, and a defined output format — plus a one-line "why it works". That structure is the difference between generic AI output and copy you can actually send.
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