Outcomes we focus on

Improved SEO signals that LLMs use to verify your business

Structured data and schema optimized for AI parsing

Content structured to answer the prompts your customers use

Higher likelihood of being cited by AI research tools

Deliverables you receive

AI discoverability audit and SEO alignment plan

Advanced schema markup for entity recognition

LLM-friendly content structure (FAQ, lists, citations)

Prompt testing to validate how AI describes your services

Knowledge graph and citation cleanup

How the engagement runs

Step 1

AI visibility audit

Result: baseline of how AI sees you. How: test prompts across ChatGPT, Claude, and Gemini to identify gaps.

Primary KPI: AI research report and gap analysis

Step 2

SEO and entity alignment

Result: stronger authority signals. How: improve on-page SEO and structured data to reinforce business entities.

Primary KPI: Schema and metadata updated for AI

Step 3

Content optimization

Result: content that AI likes to cite. How: restructure key pages for better parsing and entity extraction.

Primary KPI: High-intent pages optimized for LLMs

Step 4

Validation and monitoring

Result: accurate AI representation. How: re-test prompts and monitor for citation improvements.

Primary KPI: Improved AI response accuracy

Proof this approach works

Professional services firm, London

45 percent improvement in AI search accuracy after content optimization and schema implementation.

AI-first content strategy

Content structured for both human and AI consumption.

What we measure

Knowledge graph accuracy
Schema validation scores
Prompt response relevance

Client voices

“Our business now appears correctly when people ask AI assistants about our services.”
Marketing director, professional services, London

FAQs

How is this different from regular SEO?

LLM optimization focuses on how AI systems understand and represent your content, beyond traditional search rankings.

Which AI platforms benefit?

Primarily ChatGPT, Google Bard/Gemini, and other LLM-powered search assistants.

How do you measure success?

Through prompt testing, knowledge graph monitoring, and AI search result accuracy.

LLM Optimization