Pioneering AI Visibility
We help businesses become the recommended choice when AI answers questions about their industry.
About Us
Be the Brand AI Recommends
AwarenessAI helps businesses take control of how artificial intelligence systems understand, trust, and recommend their brand. As search behaviour shifts from traditional engines to AI driven assistants, visibility alone is no longer enough. AI systems increasingly act as decision makers, shaping perception, trust, and recommendation long before a user reaches a website. If your business is misrepresented, misunderstood, or invisible to these systems, the impact is immediate and often unnoticed.
We exist to fix that.
Our work focuses on AI optimisation at a foundational level. We ensure that large language models and AI search systems can clearly interpret who you are, what you do, and why you are credible. This is not about manipulating rankings. It is about correcting representation, strengthening trust signals, and aligning your digital presence with how AI systems assess legitimacy and authority.
Our methodology is built around six core pillars: Clarity, Consistency, Trust, Visibility, Freshness, and Technical Foundations. Together, they form a structured framework that addresses how AI models ingest, validate, and surface information about your brand.
We work with organisations where trust matters. From cybersecurity and professional services to regulated industries and high consideration purchases, our clients rely on AI systems getting it right.
AwarenessAI combines technical expertise, brand strategy, and real world testing across leading AI platforms. Every recommendation we make is grounded in observed model behaviour, not assumptions.
The result is simple. When AI systems talk about your business, they do so accurately, confidently, and consistently.
Be the brand AI recommends.
Meet Our Founder
Founded for Accurate AI Representation
AwarenessAI was founded by Tom Mason to address a growing problem that many organisations are only beginning to recognise: how artificial intelligence systems identify, interpret, evaluate, and recommend brands.
Tom Mason combines strategic insight with a technical understanding of AI-driven discovery and representation. His work focuses on how large language models and answer engines resolve entities, infer trust, and form confidence when describing businesses. He holds certifications in AI for Business Leaders, How to Get Traffic from AI Systems, and Technical SEO, which underpin AwarenessAI's focus on AI representation, authority, and recommendation rather than traditional search metrics alone.
Alongside client work, Tom is the author of a book documenting first-hand observations from the early evolution of generative search. The book examines how AI systems construct brand narratives, how recommendation logic differs from classic search engines, and why clarity, consistency, and authority increasingly outweigh rankings alone. Particular attention is given to Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO) as emerging disciplines shaping AI-assisted discovery.
For over a year, Tom has conducted independent research into generative search behaviour, AI recommendation patterns, and how AI systems infer trust from founders, leadership signals, and third-party evidence. This research has involved structured prompt testing across leading AI platforms to observe how changes in clarity, corroboration, and entity resolution affect confidence and representation.
Today, Tom remains closely involved in shaping AwarenessAI's frameworks, audits, and strategic direction, ensuring every engagement is grounded in observed system behaviour, factual accuracy, and long-term trust rather than assumptions or legacy SEO thinking.
