SEO & LLM-friendly audit
Make your site visible — to Google and to AI.
SEO alone is no longer enough.
Today your content must also be understood, structured, and usable by assistants (ChatGPT, conversational engines, agents).
I help you adapt your site to this new acquisition channel.
Start an auditThe new reality
Your site might be:
- well ranked… but rarely echoed by AI
- rich… but poorly structured for interpretation
- visible… but missing from generated answers
The rules have changed: we don’t just read pages — we interpret them.
Value proposition
An audit that combines classic SEO and machine understanding.
Goals:
- improve your visibility in Google
- make your content usable by LLMs
- capture traffic that’s invisible today
What I analyse
Content structure
Clarity, hierarchy, search intent.
Semantics & wording
Alignment with user and AI-style queries.
Data accessibility
HTML, markup, machine readability.
Site architecture
Navigation, depth, consistency.
Presence in AI answers
How (and whether) you show up in model outputs.
What you get
- Technical & editorial SEO audit
- LLM-friendly recommendations
- Optimisation of your key pages
- Reusable content framework
- Quick wins + roadmap
How I work
Pragmatic and impact-focused:
- no generic checklist
- no SEO theory detached from reality
- only what actually improves your visibility
Example optimisations
- structure a page to answer a question head-on
- turn marketing copy into “citable” content
- clarify offers so they’re understood without extra context
- improve readability for engines and AI
Typical situations
- Traffic is flat despite publishing content
- You want to appear in AI-generated answers
- Your site is complex or poorly structured
- You create content… with little return
Outcome
You gain:
- visibility (SEO + AI)
- clearer messaging
- more durable acquisition
FAQ
Does this replace classic SEO?
No — it extends it. SEO remains essential; the LLM-friendly layer targets being correctly parsed, cited, or summarised when users go through AI.
Do you guarantee Google rankings or ChatGPT mentions?
No — no one can. You get an honest diagnosis, actionable priorities, and tracking signals (traffic, rich results, editorial and technical indicators).
Is this mainly for marketing sites or also apps / SaaS?
Both: whenever there are public pages, docs, or indexable content, the same structure and semantics principles apply.
What’s the concrete deliverable after the audit?
Findings summary, LLM-friendly recommendations, priority pages to rework, a starter editorial framework, and a quick-wins / structural roadmap.
Does this map to searches like “SEO and AI” or “LLM-friendly site”?
Yes: cross-cutting technical + editorial + architecture audit, with an explicit angle on model and conversational-engine understanding.