On-Page SEO Audit - Comparateur-IA

A serious on-page SEO audit traditionally takes 30 to 60 minutes per page: titles, meta, Hn structure, intent matching, linking, semantic optimization. On a site of 50 strategic pages, that's 25 to 50 hours. AI allows you to reduce to 5-10 minutes per page for a complete, structured, and prioritized audit. This guide brings together workflows that produce actionable audits (prioritized by impact/effort) rather than a long list of generic recommendations that no writer will read.

Step-by-step Workflow

Collect technical data

Before AI audit: extract URL, title, meta, H1, H2-H3, target keywords, current position, traffic. Tools: Screaming Frog or Search Console export + Ahrefs/Semrush.

Audit page by page with structured prompt

For each priority URL, submit data + content to AI with a prompt requesting audit in standardized sections. This produces comparable audits across pages.

Prioritize by impact / effort

AI naturally produces long lists. Explicitly ask for prioritization: top 3 actions per page, quick wins (high impact / low effort), deep work (high impact / high effort).

Consolidate into cross-cutting action plan

From individual audits, produce a global action plan: recurring patterns (e.g., all titles too long), pages to prioritize absolutely, cross-cutting technical projects.

Track impact by re-auditing 4-8 weeks later

Measure positions before/after implementation. Identify pages that didn't move to re-audit and find remaining blockers. This distinguishes a SEO consultant from a throwaway audit.

Copyable Prompts

Complete SEO audit of a page

You are a senior SEO expert. Audit this page:nn**URL**: [URL]n**Current Title**: [TITLE]n**Meta description**: [META]n**H1**: [H1]n**H2/H3**: [LIST OF Hn]n**Target keyword**: [KW]n**Current Google position**: [POS]n**Monthly traffic**: [TRAFFIC]n**Content**: [TEXT OR URL]nnProduce a structured audit in 7 sections:n1. **Overall score /100** with 3 main reasonsn2. **Title & Meta**: length, keyword, attractiveness, CTR potentialn3. **Hn structure**: hierarchy, keyword in H1, H2 covering the SERPn4. **Intent matching**: does the page answer the search intent of current top 3?n5. **Semantic coverage**: entities present vs expected (list missing ones)n6. **Internal linking**: inbound/outbound links, optimized anchorsn7. **Top 3 priority actions** by expected ranking impact ordernnBe concrete and actionable. No generic recommendations like 'optimize your content'.

Cannibalization detection

Here are 3 URLs ranking on close keywords:nnURL 1: [URL] — title: [TITLE] — pos: [POS] — traffic: [T]nURL 2: [URL] — title: [TITLE] — pos: [POS] — traffic: [T]nURL 3: [URL] — title: [TITLE] — pos: [POS] — traffic: [T]nnTarget queries:n[QUERY LIST]nnAnalysis:n1. Is there cannibalization? On which specific queries?n2. Which URL should be canonical for each query?n3. Recommended strategy: merge, 301 redirect, de-optimize, differentiate intentn4. Chronological action plan to solve without losing existing traffic

Generation of optimized meta

For this page:nn**H1 Title**: [H1]n**Main keyword**: [KW]n**Page topic** (3 lines): [TOPIC]n**Audience**: [AUDIENCE]n**Current Google position**: [POS]n**Main CTA**: [CTA]nnGenerate:n1. **5 title proposals** (max 60 char, keyword early, clear hook, no hollow clickbait)n2. **5 meta-description proposals** (max 155 char, integrates keyword, offers concrete benefit, ends with implicit CTA)n3. **3 URL slug proposals** if rework (3-5 words, keyword included, no unnecessary stop-words)nnFor each proposal, explain in one sentence why it's optimal and which SERP it will perform best on.

Internal linking plan

Here is the content of my page:nn[CONTENT]nnHere are other thematically close site pages:n[LIST URLs + TITLES + MAIN KEYWORDS]nnPropose an internal linking plan:n1. **5 outbound links** to add from this page (to which URLs, what anchor, where in text)n2. **5 inbound links** to create from other pages to this one (from which URLs, what anchor)n3. **Anchor text**: vary without over-optimizing (mix exact match, partial, branded, generic)n4. **SEO justification** for each link: why it's relevant, what signal to Google

Cross-page multi-page audit

Here is the individual audit of [N] pages:nn[PASTE OR SUMMARIES]nnProduce a cross-cutting action plan:n1. **Recurring patterns**: what errors recur on >30% of pages?n2. **Quick wins**: fast high-impact actions (top 5 by order)n3. **Deep work**: structural actions (template rework, linking, content)n4. **Pages to prioritize absolutely** by ROI (expected impact × volume × proximity to top 10)n5. **90-day roadmap**: sprint 1 (weeks 1-4), sprint 2 (weeks 5-8), sprint 3 (weeks 9-12)nnTarget: an executable plan for 1-2 people over 3 months.

Recommended tools

Frase

★ 4.8 (97) · 15 USD/mois

Assistant IA pour la recherche, la rédaction et l’optimisation SEO des articles.

Why : Couverture sémantique automatique versus top 10 SERP. Indispensable pour l'audit on-page sémantique.

Try ↗Full review

NeuronWriter

★ 4.8 (137) · 19 EUR/mois

Assistant de rédaction SEO basé sur l’IA. Analyse concurrentielle, optimisation sémantique et aide à la planification de contenu.

Why : Excellente alternative à Frase, particulièrement bonne sur le scoring de couverture par entités.

Try ↗Full review

Claude AI

★ 4.9 (55) · Gratuit

Assistant conversationnel d’Anthropic axé sécurité et contexte long. Excellent pour rédaction, analyse, résumés, code et agents. Interface claire, bons résultats en français.

Why : Pour les audits structurés et les synthèses transverses. Suit les briefs détaillés mieux que les concurrents.

Try ↗Full review

Estimated ROI

Time Saved

80% on page-by-page audit (5 min vs 30-60 min)

Quality Gain

Comparable and prioritized audits, executable action plans

Cost

30-50€/month for the stack (Frase + Claude)

Frequently asked questions

Can AI automatically audit a complete site?

For page-by-page audit: yes via API or batch. For global technical audit (crawl, redirects, sitemaps, robots.txt, performance): need to combine with Screaming Frog, OnCrawl or Sitebulb. AI helps interpret and prioritize these crawler outputs.

Do you still need a SEO consultant if you have AI?

For standardized audits and production: less than before. For strategy, steering, complex case analysis (traffic drop, migration, rework), reading Google updates: a good consultant remains irreplaceable. AI accelerates the consultant, doesn't replace them.

Does AI detect Google penalties?

For algorithmic penalties (drop after update): yes provided you give it the drop data (dates, affected pages, lost queries). It can formulate relevant hypotheses. For manual penalties, you need to check the Search Console, not the AI.

How many pages can you audit per day with AI?

At 5-10 minutes per page: 50 to 100 pages per day with one consultant. Beyond that, returns diminish (review fatigue). For massive audits (1000+ pages), better to script via API and batch audits, then manually review the top 10%.

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🔍 On-Page SEO Audit