Claude Existing Page SEO Optimizer Prompt
You are an on-page SEO specialist who improves pages from position 8–20 to top 3.
Category
🔍 SEO
Difficulty
Intermediate
Models
2
Last Updated
2026-06-28
Works with
📄 Example output
⚠️ Common Mistakes
❓ FAQ
⚙️ Fill in your variables
📋 Prompt
You are an on-page SEO specialist who improves pages from position 8–20 to top 3.
Page: [page topic or content — paste or describe]
Target keyword: [target keyword]
Current position: [current ranking position or 'not ranking']
Intent: [search intent — informational/commercial/transactional]
Task: Complete on-page SEO optimisation:
1. KEYWORD ANALYSIS: Primary keyword placement audit (H1/first 100 words/URL/subheadings) + missing secondary keywords
2. TITLE TAG & META: Current → Improved version with character count
3. CONTENT GAPS: Topics top-ranking pages cover that this page doesn't + missing FAQ/PAA questions
4. ON-PAGE FIXES (priority order):
🔴 Critical → 🟡 High → 🟢 Medium → Low
For each: what to change + specific rewrite example
5. INTERNAL LINKING: 3 existing pages that should link to this + 2 places to link out from this page
6. FEATURED SNIPPET OPPORTUNITY: Is there a snippet target? Format? Suggested content block
Page: [page topic or content — paste or describe]
Target keyword: [target keyword]
Current position: [current ranking position or 'not ranking']
Intent: [search intent — informational/commercial/transactional]
Task: Complete on-page SEO optimisation:
1. KEYWORD ANALYSIS: Primary keyword placement audit (H1/first 100 words/URL/subheadings) + missing secondary keywords
2. TITLE TAG & META: Current → Improved version with character count
3. CONTENT GAPS: Topics top-ranking pages cover that this page doesn't + missing FAQ/PAA questions
4. ON-PAGE FIXES (priority order):
🔴 Critical → 🟡 High → 🟢 Medium → Low
For each: what to change + specific rewrite example
5. INTERNAL LINKING: 3 existing pages that should link to this + 2 places to link out from this page
6. FEATURED SNIPPET OPPORTUNITY: Is there a snippet target? Format? Suggested content block
PAGE: ToolsNova AI Token Counter | KEYWORD: 'ai token counter' | POSITION: 12
KEYWORD AUDIT:
✅ In H1: 'AI Token Counter — Count Tokens for GPT-4, Claude & Gemini'
⚠️ Only 2 mentions in body — target 4–6 natural occurrences
❌ Missing secondary keywords: 'token calculator', 'ChatGPT token count', 'how many tokens'
TITLE TAG:
Current: 'AI Token Counter | ToolsNova'
Improved: 'Free AI Token Counter — GPT-4o, Claude & Gemini (2026) | ToolsNova' [63 chars ✅]
Why: 'Free' increases CTR 15–20%; model names add secondary keywords; year signals freshness
CONTENT GAPS vs. top-ranking pages:
❌ Missing: 'What is a token?' explanation (all top-3 have this as a featured snippet target)
❌ Missing: Cost per 1,000 tokens comparison table
❌ Missing: Context window comparison across models
✅ Advantage: Live dynamic counter — mention this prominently above the fold
🔴 CRITICAL — ADD IMMEDIATELY:
Section: 'What is an AI token?' (150 words)
Target: Featured snippet for 'what is a token AI'
Draft: 'A token is the basic unit AI models use to process text. One token equals approximately 4 characters or ¾ of a word in English. The phrase "ChatGPT" counts as 2 tokens. Models have maximum token limits per conversation: GPT-4o allows 128,000 tokens; Claude Opus 4 allows 200,000 tokens; Gemini 2.0 Pro allows 2 million tokens.'
FEATURED SNIPPET TARGET:
Query: 'how many tokens is 1000 words'
Current winner: None — open opportunity
Format: Direct 2-sentence answer
Draft: '1,000 English words contain approximately 750–800 tokens. Token-to-word ratio averages 0.75 for OpenAI models and 0.80 for Claude — exact count varies by content type and language.'
KEYWORD AUDIT:
✅ In H1: 'AI Token Counter — Count Tokens for GPT-4, Claude & Gemini'
⚠️ Only 2 mentions in body — target 4–6 natural occurrences
❌ Missing secondary keywords: 'token calculator', 'ChatGPT token count', 'how many tokens'
TITLE TAG:
Current: 'AI Token Counter | ToolsNova'
Improved: 'Free AI Token Counter — GPT-4o, Claude & Gemini (2026) | ToolsNova' [63 chars ✅]
Why: 'Free' increases CTR 15–20%; model names add secondary keywords; year signals freshness
CONTENT GAPS vs. top-ranking pages:
❌ Missing: 'What is a token?' explanation (all top-3 have this as a featured snippet target)
❌ Missing: Cost per 1,000 tokens comparison table
❌ Missing: Context window comparison across models
✅ Advantage: Live dynamic counter — mention this prominently above the fold
🔴 CRITICAL — ADD IMMEDIATELY:
Section: 'What is an AI token?' (150 words)
Target: Featured snippet for 'what is a token AI'
Draft: 'A token is the basic unit AI models use to process text. One token equals approximately 4 characters or ¾ of a word in English. The phrase "ChatGPT" counts as 2 tokens. Models have maximum token limits per conversation: GPT-4o allows 128,000 tokens; Claude Opus 4 allows 200,000 tokens; Gemini 2.0 Pro allows 2 million tokens.'
FEATURED SNIPPET TARGET:
Query: 'how many tokens is 1000 words'
Current winner: None — open opportunity
Format: Direct 2-sentence answer
Draft: '1,000 English words contain approximately 750–800 tokens. Token-to-word ratio averages 0.75 for OpenAI models and 0.80 for Claude — exact count varies by content type and language.'
🏆
💡 Pro Tips
Best model for this prompt
Claude
Claude (Opus 4 / Sonnet 4)
Re-optimising an existing page returns 3–5× more ROI than publishing a new page for the same keyword
The biggest gap is usually content coverage, not keyword density — match the depth and length of top-ranking pages
Featured snippets can be won even from position 5–15 with specific answer blocks
Update your 'last modified' date when making meaningful improvements — freshness is a confirmed ranking signal
Keyword stuffing during optimisation — unnatural density is penalised in 2026
Changing the URL while optimising — lose all existing backlinks and ranking history instantly
Optimising for a keyword where the domain lacks topical authority — fix authority gaps first
Not updating internal links — immediately add links from related high-authority pages to newly optimised content
- How quickly do on-page changes affect rankings?Google re-crawls changed pages within days to weeks. Ranking improvements for competitive keywords typically manifest over 4–8 weeks. Title tag and meta changes can shift CTR almost immediately.
- Is there a risk of hurting my ranking when optimising?Low risk from targeted improvements (better content, more relevant keywords). Higher risk from: changing the URL, removing significant content, or radically changing the page topic. Always make incremental changes.
- Optimise for one keyword or multiple?One primary keyword per page, plus 5–10 semantically related secondary keywords woven naturally. Multiple competing primary keywords dilute signals. If two keywords are too different to co-exist, create two pages.
- How do I know if a page needs optimisation vs. a rewrite?Position 11–30 for the target keyword: optimise. Not indexed or ranked 50+: potentially rewrite or create a new page. Check Search Console for actual ranking data before deciding.