Search Marketing for Generative AI

We ensure your brand is not just indexed, but understood, preferred, and selected by the Generative AI ecosystem.

Trusted by Innovative Brands

Google
Indipender
Pelico
Google
Indipender
Pelico
Google
Indipender
Pelico
Google
Indipender
Pelico
Google
Indipender
Pelico
Google
Indipender
Pelico

Competitive Visibility

See where you stand relative to competitors in the AI's knowledge layer. Understand who gets recommended, and why.

AI Selection Rate

Quantify how often AI systems choose your brand when answering queries in your category. The metric that matters in the generative era.

LLM Brand Sentiment

Analyse how AI models perceive your brand by examining semantic associations in their training data. No guesswork, just observable patterns.

SXO & Semantic Architecture

Optimising site architecture and EEAT signals to provide a crawlable, authoritative base for AI agents.

Entity Optimisation

Strengthen your brand's knowledge graph presence. Clear entity relationships mean consistent AI representation across platforms.

Content Authority Signals

We execute technical and content strategies to build "Machine Trust," ensuring your brand is the cited authority for your core topics.

AI Agent Optimisation

Prepare for the shift from human-driven search to AI-driven transactions by optimising for autonomous agent protocols.

Data Provenance

Verifiable, trustworthy data is the currency of AI commerce. Establish clear provenance chains that agents can validate.

Agentic Protocol Setup

Optimising product data for OpenAI's ACP, Google's UCP, and Anthropic's MCP protocols to ensure "choosability."

Generative Engine Advertising

Prepare the strategic infrastructure needed to leverage paid advertising opportunities within generative AI environments.

AI Advertising Insights

Analyse competitor Ad placements & copy.

Run campaigns with incredible intent signals

Ads in ChatGPT and Google's AI Mode offer incredible relevance & customer intent.

From diagnostic to deployment.

How We Work

We research how people actually prompt AI

step 01

We analyse your target audience to identify high-impact topics and benchmark your current AI visibility. This allows us to define which prompts to track, sample, and optimise for—so we focus on the questions that actually influence recommendations and Share of Model (SoM).

Learn about our audit
Prompt Research

We design a website structure AI understands

step 02

Based on the audit, we design the technical and semantic structure AI systems rely on to interpret your brand correctly. Schema.org markup, entity relationships, and content structure—everything needed for accurate understanding and consistent representation. We work closely with your development team to ensure a clean, machine-readable foundation.

See our approach
Architecture Design

We implement, test, and deploy the solution

step 03

Our team implements the required changes—structured data, content optimisation, and knowledge graph integration. We collaborate with your teams or deliver end-to-end. Everything is documented, validated, and tested against real AI model outputs before going live.

Our implementation process
Implementation

We measure Selection Rate and improve it over time

step 04

After launch, we monitor how AI models respond to your optimised presence. Selection Rate, entity accuracy, and recommendation frequency are continuously measured and reported. This isn't a one-off project—your relevance engineering evolves as models, prompts, and AI behaviour change.

Get Started
Measurement

What Experts Say About AI Search

The Importance of GEO

It's no longer about click-through rates, it's about reference rates: how often your brand is cited in AI-generated answers. The question for marketers is: Will the model remember you?
There is a new race starting today. The largest software category in the world is being transformed.
Search has changed from 'search engine optimization' to 'search everywhere optimization.' The rule now is: short, sharp, sourceable.
With generative AI, we are reimagining what a search engine can do. It can answer entirely new types of questions and transform the way information is organized.

How is this different from traditional SEO?

Traditional SEO ranks pages for human clicks. PromptMarketing optimises for LLM synthesis, ensuring AI models recommend your brand as the "chosen" entity in conversational answers.

What is a "Selection Rate"?

This is our primary KPI. It quantifies how often AI systems choose your brand as the recommended solution when answering category-specific queries.

Can you help with the "Zero-Click" problem?

Yes. We target AEO (Answer Engine Optimisation) to ensure that even when a user doesn't click, your brand is the cited authority providing the answer.

What is an LLM?

Large Language Model, aka AI Chatbot (ChatGPT, Gemini, Google AI Mode, Perplexity, Claude et al.)

What is Prompt Tracking?

Visibility sampling in LLMs.

What is AEO?

Answer Engine Optimisation; target zero-click answer boxes, citations & AI Overviews.

What is GEO?

Generative Engine Optimisation; get mentions in Generative Experiences.

What is AI Search?

Umbrella term for AEO / GEO.

What is Agentic Commerce?

Get your product, service and brand chosen & purchased by agents.

What is MCP?

Model Context Protocol; the infrastructure for the Agentic Web.

What is ACP?

Agentic Commerce Protocol by OpenAI; UCP is Google's variant.

What is GEA?

Generative Engine Advertising; sponsored placements in generative experiences.

What is Prompt Marketing?

Prompt Marketing: the new discipline of marketing in the AI Search era.

Ready to Dominate the New Search Era?

Most brands discover they're invisible to AI, or worse, misrepresented. A GEO Readiness Audit reveals exactly where you stand.

Let's Talk

Ready to become machine-readable?

Contact us to learn how Relevance Engineering can help your brand become AI-ready.