The specialist AEO agency, with our own AI search monitoring platform.
We track how ChatGPT, Claude and Gemini name, describe and cite your brand when a buyer asks a direct question, diagnose why a competitor gets named instead, then execute the answer engine optimisation work end to end. Built on an AI monitoring tool we developed in-house and configured around your category, your buyers and your competitive set.
Consumers and businesses ask AI for recommendations before they ever open your website.
Answer engine optimisation is the layer where those recommendations are being shaped, and it is the layer where most brands have no monitoring, no diagnostic data and no plan in place. Ranking on page one of Google gives almost no head start in ChatGPT, Claude or Gemini, because these models do not read a results page, they draw on training data, third-party citations and how clearly a brand is described across the web. This is the gap a specialist AEO agency is built to close.
Your brand ranks well on Google, but rarely appears in AI-generated recommendations.
Competitors with clearer positioning across the website and external sources consistently show up instead, even where the underlying products are comparable. The brand exists in the model's training data and citation sources, but not in a form confident enough for AI to recommend with certainty.
AI groups you with the wrong competitors.
A brand appears in answers, but grouped with the wrong category or compared against irrelevant competitors at the exact moment a buyer is deciding. Category signals that are weak or contradictory across owned and external sources are usually the underlying cause.
You are missing from AI-generated shortlists.
A small set of competitors consistently appears when a buyer asks for recommendations in your category, with their presence reinforced across multiple trusted sources. The brands that make these shortlists are not always the largest, they are the ones whose signals are consistent enough for AI tools to recommend with confidence.
Your visibility changes unpredictably across similar questions.
A brand shows up in some AI responses but disappears in others for near-identical queries, making visibility unstable and difficult to build on. Inconsistent semantic signals across metadata, headings and internal linking are usually behind this.
The signals that decide whether AI recommends you.
Every category has its own mix, but three signals come up across almost every AEO Monitoring engagement we run.
01
Category positioning.
Whether language models confidently place your brand in the right category. When the category signal is weak or contradictory, AI tends to leave you out of an answer rather than guess.
02
Share of voice against key rivals.
How often you appear against the competitors that matter most. Share of voice in AI search is a direct read on recommendation probability, and one of the clearest early indicators of how a brand is trending before it shows up anywhere else.
03
Visibility stability across LLMs and queries.
Are your core features and integrations described correctly across AI responses, or is something getting lost in translation? Inaccurate attribution creates friction during evaluation and erodes trust before a demo is ever booked.
A monitoring platform built around your category, your buyers and your competitors. We do not offer a generic template.
We built our own AEO monitoring platform in-house, and we configure it around your product categories, the markets you operate in, the competitors you actually compete with and the questions your buyers actually ask. We are a full-cycle agency, which means we do not hand over a dashboard and walk away, we analyse, we diagnose, we build the roadmap and we execute, either alongside your team or as a fully outsourced function.
Custom prompt library.
Tell us the categories, products and customer segments you want to monitor. Generate prompts automatically and pick the ones that fit, or upload your own, so the dashboard is built around the questions your buyers actually type rather than a default set.
Configurable metrics
Mention Rate, First Mention Rate, Share of Voice, Average Rank and others, all weighted against the goals that matter to your business. The dashboard is customisable from the ground up.
Adjustable competitor lists.
Nobody knows your real competitive set better than you do. Adjust who you monitor and benchmark against at any time, by segment, by product line or by market, at the cadence that suits your business.
Full setup support by our team.
As a full-cycle AEO agency, we are involved from step zero. We set up the dashboard, tie it to your products and category, and guide you through prioritising the fixes that will move the needle, with execution that can run alongside your team, ours, or a blend of both.
Execute with your team or with our support, depending on your internal capabilities.
Who we work with:
Financial institutions, B2B SaaS, machinery and manufacturing, automotive, professional services, e-commerce and retail, fintech, healthcare, education, travel and hospitality, HRtech & recruiting, local and consumer brands looking to be present in AI-generated recommendations. Our work is configured to each client's category, competitors and audience, and is never templated.
In marketing since 2009. In AI search since it became a category.
Our team has worked with international brands across SaaS, e-commerce, fintech and professional services for over fifteen years, originally as ContActive Tech Communications.
Today, that same senior team applies its strategic and technical expertise to answer engine optimisation, generative engine optimisation, and AI search visibility.