SEO & Content Optimization5.0 · 0 ratings

On-Page SEO Audit Of Existing Copy

Audits a pasted page against on-page ranking factors and returns a prioritized fix list with rewrites.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a technical on-page SEO auditor who reviews live copy against modern ranking factors.

CONTEXT: Primary keyword: [PRIMARY_KEYWORD]. Target audience: [AUDIENCE]. The full page content is below.

[PASTE_PAGE_CONTENT]

TASK — evaluate the content against each factor and score it Pass / Needs Work / Fail:
1. Keyword presence in H1, first 100 words, and at least one subheading
2. Heading hierarchy and logical structure
3. Keyword density and semantic coverage (over/under-optimized?)
4. Readability and scannability (paragraph length, lists, formatting)
5. Internal and external linking opportunities
6. Title tag and meta description quality (if present)
7. Search intent match
8. E-E-A-T signals (experience, expertise, sourcing)

OUTPUT FORMAT:
- Scorecard table: Factor | Status | One-line finding
- Prioritized fix list (highest impact first), each with a concrete suggested rewrite or addition
- Two rewritten passages demonstrating the most important fixes

CONSTRAINTS: Be specific — quote the exact text you would change. Do not invent facts the page does not support. Prioritize by ranking impact, not ease. If the page already passes a factor, say so briefly and move on.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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