AI Search doesn't rank websites.
It cites them.
The way customers find information has structurally changed. Most websites are invisible to AI-generated answers - not because they rank poorly, but because they were never built to be cited. We change that.
Search used to surface websites. Now it answers questions.
Traditional SEO was built around one goal: rank in position 1–10 and get the click. AI Search has broken that model. Customers are increasingly getting answers directly from AI-generated responses that cite sources, summarise content, and never send the user to your site at all — unless your content was built to be cited.
Rank, then get the click
- 10 blue links ordered by ranking signals
- Users choose which result to visit
- Traffic flows to well-ranked pages
- Keywords and backlinks drive visibility
- Click-through rate is the primary metric
- Your domain authority is the currency
Be cited, or be invisible
- AI writes the answer and chooses its sources
- Users often don't visit any website at all
- Citations go to content built for AI comprehension
- Entity authority and structured signals matter most
- Brand mention and citation rate are the new metrics
- How AI systems understand you is the currency
How AI systems decide what to cite - and what to ignore
AI search platforms don't crawl and rank the way Google's traditional index does. They build a model of the world from structured and unstructured content — and they cite sources that their systems recognise as authoritative, coherent, and correctly structured. Understanding those signals is the first step to being cited.
Entity Recognition
AI systems model the world as entities — organisations, products, people, concepts. Your business needs to exist as a coherent, consistent entity across the web for AI to confidently cite you.
Entity OptimisationStructured Data
Schema markup, knowledge graph signals, and structured content formats help AI systems parse and understand what your pages are about — and what claims they're making.
Technical SEOContent Authority
E-E-A-T signals — experience, expertise, authoritativeness, trustworthiness — influence which sources AI treats as reliable. Thin, generic content is rarely cited regardless of domain authority.
Content StrategyAI Crawlability
AI crawlers (GPTBot, PerplexityBot, ClaudeBot, Google's AI agents) have different access and rendering requirements. Content blocked, deferred, or poorly rendered to these bots simply doesn't exist to AI.
Technical AccessContent Structure
Chunked, headlined, logically structured content is easier for LLMs to extract and attribute. Walls of undifferentiated prose are regularly skipped in favour of well-organised alternatives.
Information ArchitectureCross-web Consistency
AI systems cross-reference what your own site says against what third-party sources say about you. Inconsistent or contradictory signals reduce citation confidence.
Brand ConsistencyWhat you need to audit and fix
- AI bot access in robots.txt and server configuration
- Schema implementation - Organisation, Product, Article, FAQ
- Server-side rendering for JavaScript-heavy content
- Internal linking structure and topic clustering
- Heading hierarchy and content chunking
- Crawl budget and indexing signals for AI agents
What you need to understand and invest in
- Whether your business exists as a coherent entity in AI systems
- Which competitor brands are being cited instead of yours
- How your content compares to cited sources in your category
- What your current AI search visibility actually is
- The ROI case for LLMO versus traditional SEO spend
- Which AI platforms matter most for your customer type
LLM Optimisation — the discipline built for AI Search
LLMO is the practice of making your brand, content, and technical infrastructure legible to large language models. It's not a replacement for SEO — it's what SEO needs to become. Search Labs delivers it as both a consulting discipline and a software capability.
Entity and Brand Optimisation
Establish your brand as a coherent, trusted entity across the web — structured so AI systems can confidently represent and cite you. Covers Knowledge Panel signals, structured data, NAP consistency, and cross-platform entity alignment.
Learn moreContent Architecture for AI Citation
Restructure and optimise your content so it's extractable, attributable, and citable by AI systems. Covers E-E-A-T, content chunking, heading architecture, authoritative sourcing, and topical depth.
Learn moreTechnical AI Search Optimisation
Ensure AI crawlers can access, render, and interpret your site. Covers robots.txt for AI bots, server-side rendering, schema implementation, crawl access for GPTBot, PerplexityBot, ClaudeBot, and Googlebot-AI.
Learn moreAI Search Performance Measurement
Track and attribute your performance in AI-generated answers — citation rate, brand mention frequency, and AI-referred traffic. New metrics for a channel that traditional analytics tools weren't built to measure.
Learn moreSoftware built for AI Search visibility
Our proprietary tools — Prism, Stratum, Ballast, and Slice — are built to diagnose, optimise, and track the specific signals that determine AI Search performance. Available as standalone products and as part of consulting engagements.
Tell us about your site. We'll tell you where you stand.
We start every engagement the same way: understanding your current AI Search visibility before recommending anything. There's no point fixing signals you don't know are broken.
Fill in your details and your biggest question. We'll review your site and come back with a direct, specific assessment — not a pitch deck.