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SEO Prompt Examples

These are illustrative example prompts for SEO tasks using ChatGPT, Claude, or other AI models. Use these as starting points — adapt them to your specific website, target keywords, and audience. These are example prompts — not user testimonials.

These are illustrative example prompts, not user testimonials.

Example prompt

Meta title and description writing (ROLE framework)

Role: SEO specialist with 8 years of experience in B2B SaaS SEO
Objective: Write 5 meta title and meta description variants for a landing page about "project management software for remote teams"
Limitations: Titles maximum 60 characters, descriptions maximum 155 characters, include primary keyword in title, no clickbait
Expectations: Each variant targets a slightly different user intent (informational, comparison, purchase-ready). Format as a numbered list with Title / Description pairs.

What makes it effective: The ROLE framework establishes domain expertise, clear character limits prevent unusable output, and the intent breakdown produces variants you can A/B test or match to different traffic sources.

Example prompt

Content brief (COAST framework)

Context: B2C fitness app targeting adults 25-45 who want to lose weight
Objective: Create a content brief for a 1,200-word blog post targeting the keyword "intermittent fasting for beginners"
Actions: Define H1 and H2 structure, list 5-7 semantic keywords to include, recommend word count per section, suggest 2 internal link targets
Scenario: The site has domain authority of 35 and is competing against Healthline and WebMD
Task: Deliver the brief in a structured format suitable for handing to a content writer

What makes it effective: The competitive context (DA 35, named competitors) helps the AI calibrate realistic recommendations. The COAST framework separates audience, goal, execution steps, and competitive scenario cleanly.

Example prompt

Keyword research (TAG framework)

Task: Keyword research for a new productivity app
Action: Generate 20 long-tail keyword ideas related to "task management app", categorized by search intent (informational, navigational, transactional)
Goal: Each keyword should be under 6 words and realistically attainable for a new website with low domain authority

What makes it effective: Specifying low domain authority constrains the AI to produce attainable targets rather than high-competition terms. The intent categorization makes the output immediately actionable.

Example prompt

On-page optimization review (ROLE framework)

Role: Senior on-page SEO specialist
Objective: Review the following page text and identify 5 specific improvements for on-page SEO
Limitations: Focus only on on-page factors (headings, keyword density, internal link suggestions, readability). Do not comment on backlinks or technical SEO.
Expectations: Provide numbered list of improvements with specific suggested rewrites where applicable. [User would paste page text here]

What makes it effective: Scoping limitations to on-page factors only prevents the AI from producing generic SEO advice. The numbered list format and rewrite requirement make the output directly usable.

How to adapt these SEO prompts

Replace the placeholder website, keyword, and competitor details with your own. The more specific the context you provide — industry, target audience, domain authority, named competitors — the more relevant the output. For generating a custom structured prompt from scratch, use the PromptVibe prompt optimizer.

Frequently Asked Questions

Can AI replace an SEO specialist?

No. AI can assist with SEO tasks like drafting meta descriptions, generating content briefs, and brainstorming keywords, but it requires human oversight for strategy, accuracy, and context-specific decisions. These are illustrative example prompts to help you get started, not substitutes for professional SEO expertise.

Which AI model works best for SEO prompts?

Both ChatGPT and Claude handle SEO tasks well. For longer content briefs and detailed analysis, Claude's long-context window is useful. For shorter tasks like meta descriptions and keyword lists, either model works effectively with a well-structured prompt.

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