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10 min read · 2026-04-29

67 AI Prompts for SEO Your Competitors Are Not Using

Use AI for intent analysis, content briefs, internal links, refreshes, and editorial quality control.

SEO prompts should support decisions

SEO work is full of judgment calls: which keyword to target, what intent dominates, which page deserves a refresh, what internal links are missing, and what content needs expert input. AI prompts are most useful when they help make those decisions clearer.

A prompt that asks write an SEO article is usually too broad. A prompt that asks compare the intent behind these keywords and recommend a page structure is far more useful.

Prompt for search intent first

Before drafting, ask the model to classify search intent. Is the query informational, commercial, transactional, navigational, local, comparative, or mixed? What would a searcher expect to see above the fold? What would feel irrelevant?

Intent prompts prevent content from drifting into generic coverage. They help you write the page the searcher actually wanted.

Build better briefs

A strong SEO brief includes target query, secondary terms, audience, angle, page type, outline, internal links, examples, proof needs, and quality bar. AI can assemble a draft brief quickly if you provide the target and constraints.

The human still owns the strategy. The model helps you organize the work and catch gaps.

Use AI for refreshes, not just new pages

Content refresh prompts can identify stale sections, missing examples, weak headings, thin answers, poor internal links, or mismatched CTAs. Paste the current page and ask for a refresh plan before asking for rewrite copy.

This is often faster and more valuable than generating new articles from scratch.

A useful SEO prompt

You are an SEO strategist. Analyze [keyword cluster] for [audience]. Return search intent, likely SERP expectations, page type recommendation, outline, internal link opportunities, missing proof, and risks. Do not invent search volume. Use only the provided keyword list and explain assumptions.

That prompt keeps the model grounded and produces a brief you can actually use.

Browse the 67-prompt library.

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