AI Search Engineering

Precision visibility engineering for the age of AI Search

What our Search Engineers do.

Using our 5 Pillar System™ we engineer the following:

✔ Entity Engineering

We define and structure your business identity so AI models can recognise your firm, your services and your people.

✔ AI-Ready Information Layer

We design the semantic structure and clear wording patterns AI uses to extract and understand your expertise.

✔ Sector Classification Architecture

We build dedicated sector pages and frameworks so AI systems classify your firm correctly.

✔ Trust Signal Engineering

We rebuild and align your external profiles into one consistent, credible identity.

✔ Source of Truth System

We create the definitive dataset AI models reference to reduce hallucinations and ensure accuracy.

✔ AI Interpretation Testing

We test how ChatGPT, Gemini, Perplexity and Bing AI describe your firm before and after the engineering work.

✔ Developer Implementation Pack

Your development team receives a clear, structured blueprint to update your site with your new AI Search Architecture and technical schema

We define and structure the “AI version” of your business.

AI must be able to recognise:

• Your firm
• Your services
• Your people
• Your sectors
• Your differentiators
• Your internal relationships

We build the entity scaffolding that ensures AI models know exactly who you are and what you do.

Your expertise must be machine-readable.

We:

• Design the wording patterns AI uses to understand meaning
• Build sector-aligned terminology and definitions
• Remove semantic ambiguity
• Replace vague descriptors with AI-interpretable clarity
• Align your expertise to known AI knowledge graphs

This is how you become legible to LLMs.

We build the structured-data layer that AI extracts meaning from.



This includes:

• Schema engineering (JSON-LD)
• Entity linking
• Schema stacking
• Service, Person, Org, Article & FAQ schema
• Internal relationship mapping
• Source-of-truth anchors
• This is the “machine markup” that tells AI what each page, person and service means.

AI puts huge weight on credibility and trust.



• Google Business Profile
• Directories & third-party listings
• Founder profiles
• Social platforms
• Review signals
• Media citations
• Credentials
• If your credibility signals are fractured, AI hesitates to recommend you.
  We fix that.

AI MUST classify you correctly.

We build:

• Clear sector landing pages
• Category-driven content frameworks
• Sector naming conventions AI recognises
• Structured pathways for each audience
• Architecture that matches AI’s expected patterns
• This ensures you are not miscategorised, blended or confused with competitors.

The definitive, canonical dataset AI models reference.

This reduces:

• Hallucinations
• Misclassification
• Incorrect summaries
• Wrong competitor comparisons
• AI needs a single, authoritative source. We build it.

Before and after the engineering, we test:

• How ChatGPT describes your firm
• Whether Perplexity refers to you
• How Gemini summarises your services
• What Claude recommends in your category
• Which competitors are mentioned instead



You receive screenshots, recordings and a full narrative report.

Your developers receive:

• A clear, structured schema blueprint
• Page-level implementation instructions
• Internal linking map
• Final entity graph
• Navigation structure
• Trust signal alignment plan
• 
  

This ensures the work is implemented correctly and future-proofed.