High-Converting SEO Blog Post
A prompt for producing a first draft that is already structured for search. It fixes the word count, where the primary keyword must appear, paragraph length and the meta description, so you edit a solid draft instead of rewriting a generic one.
It works best when you supply the real search intent and a few secondary keywords, because the model can then match the article to what readers actually want.
Prompt template
Act as a top-tier SEO copywriter. Write a 1,500-word blog post. Topic: [TOPIC] Primary keyword: "[KEYWORD]" Secondary keywords: [KEYWORD 2], [KEYWORD 3], [KEYWORD 4] Audience: [WHO IS READING] Search intent: [informational / how-to / comparison] Constraints: - Include the primary keyword in the H1 and at least two H2s. - Keep paragraphs under 3 sentences. - Use one bulleted list and one short FAQ section (3 questions). - Do not invent statistics. Mark anything unverifiable with [VERIFY]. - End with a 155-character meta description labelled "Meta description:".
Example input
Topic: How to reduce LLM token costs Primary keyword: "reduce token usage" Secondary keywords: prompt compression, context window, LLM cost Audience: developers building AI features Search intent: how-to
Example output
# How to Reduce Token Usage in LLM Apps (Without Losing Quality) Every extra token costs money and latency. Here is how to cut both. ## Why reducing token usage matters Token bills grow with every request. A 30% smaller prompt is a 30% smaller input bill. ## 1. Compress the prompt ... ## FAQ **Does prompt compression hurt accuracy?** ... Meta description: Learn practical ways to reduce token usage in LLM apps: prompt compression, smarter context windows and caching, with examples.
When to use it
- Producing first drafts for a content calendar
- Refreshing thin posts that rank on page two
- Making briefs consistent across freelance writers
- Generating the meta description alongside the article
Best practices
- State the search intent (informational, comparison, how-to).
- Provide 3 to 5 secondary keywords and ask for natural use, not repetition.
- Give the audience and a tone reference.
- Fact-check statistics; ask the model to flag any figure it is unsure of.
Common mistakes
- Asking for keyword stuffing ("use the keyword 20 times").
- Skipping the audience, which produces bland, universal copy.
- Publishing without adding original examples or first-hand experience.
FAQs
How long should the article be?
Match the length of the top-ranking pages for your keyword. The template defaults to 1,500 words; change the number to fit.
Will AI-written content rank?
Search engines rank helpful content regardless of how it was drafted. Add original insight, fix facts and edit for voice.
Can I use it for product pages?
Yes. Replace the blog constraints with product-page ones (benefits, specs, objections) and keep the keyword rules.