Freelance SEO consultant in Paris,
for Google AND for AIs.

Classic SEO targets Google. GEO (Generative Engine Optimization) targets LLM engines. Both share most best practices (structured content, schema.org, domain authority), but diverge on a few points: LLMs prefer self-contained citable passages, FAQs with 80-150 word answers, explicitly named sources, and a llms.txt file at site root. On this very site, I apply both logics in parallel: it's my reference to show you it works.

A full SEO audit (technical, content, backlinks, AI Overviews) starts at €490 and is delivered within 5 days. SEO structuring mission (architecture redesign, optimization of 10-30 key pages, schema.org, llms.txt, GSC setup): €3,000 to €7,500. Monthly retainer (position tracking, content, AI Overviews): €690 to €1,990/month depending on ambition. No minimum retainer imposed, you can exit any time.

On Paris local SEO ("automation consultant Paris", "website creator Île-de-France"): 4-8 weeks for first top-10 positions. On national queries ("SEO consultant SMB", "Next.js freelance France"): 3-6 months for stable results. On AI Overviews and ChatGPT/Perplexity citation: 6-12 weeks, faster than expected because LLMs crawl more often than Google.

Many Paris SEO agencies bill €1,500-3,000/month to produce 4 Surfer/Yoast-optimized blog articles, without touching site architecture or GEO strategy. Profitable for them but no longer moves rankings in 2026. My approach is different: technical audit first (Core Web Vitals, schema, hreflang, llms.txt), then topical architecture (clusters, anti-cannibalization), then content calibrated for Google AND LLMs. Fewer articles, better targeted, that actually rank.

Next.js delivers a clean SEO ground by default: static pre-rendering (Google doesn't have to run JS), optimized images, per-page dynamic metadata, automatic sitemap.xml. Advanced Next.js technical SEO consists of: properly tagging schema.org per page (Product, Service, FAQPage, BreadcrumbList), managing multilingual hreflang, configuring Core Web Vitals (LCP < 2.5s, INP < 200ms, CLS < 0.1), blocking or whitelisting the right crawlers, and publishing an llms.txt for LLM engines. On a WordPress site, this work takes longer: you have to work around the theme and plugins.

Yes: Ahrefs for keyword research + backlinks + content gap, Search Console for daily position and technical health tracking, Screaming Frog for deep technical audits, GA4 for traffic and conversion measurement, Looker Studio for client dashboards. For AI Overviews monitoring, I use manual monitoring + dedicated tools (Otterly, Peec) on business-critical queries.

Yes, it's become a pillar of my offer. Google's AI Overviews show extracts from pages combining: domain authority, structured content (FAQPage and HowTo Schema), 80-200 word self-contained passages, named sources, freshness (last update date). My protocol includes: eligible query audit, restructuring key pages into "citable chunks", enriched schema.org, weekly results monitoring. First results in 6-12 weeks.