Pagefield Group has launched Pagefield GPS, a first-of-its-kind, patent-pending AI reputation intelligence product that helps organisations and individuals – in any country – understand and influence how they are represented in generative AI systems. It has been developed in response to a growing strategic challenge for communicators: stakeholders increasingly form views of organisations through AI-generated summaries and recommendations before visiting company websites, speaking to advisers or encountering owned channels.
New polling commissioned by Pagefield Group suggests AI platforms are already becoming an important reputational gateway. Almost half of adults (47%) living in London say they would either trust AI-generated information about a company, organisation or high-profile individual without checking it elsewhere, or treat it as a useful starting point while checking important details. Only one in ten (12%) say they would not use or rely on AI-generated information at all.
Pagefield GPS, which stands for Generative Positioning Strategy, assesses performance across five core dimensions: Discovery & Advocacy, Perception Quality, Risk Resilience, Competitive Position and Information Accuracy. This is done on major AI platforms increasingly used by customers, investors, journalists, policymakers and prospective employees, including ChatGPT, Claude, Gemini, Grok and Perplexity.
The product combines Pagefield’s proprietary AI auditing technology with expert consultant interpretation, moving beyond AI search optimisation and visibility tracking into the broader field of ongoing AI reputation management. The audits assess how organisations and individuals are discovered, described, compared, stress-tested and recommended across the AI platforms.
The average GPS audit can capture up to 250,000 signals across thousands of AI-generated responses, with high-complexity audits scaling to more than one million data points. The system tests subjects across multiple stakeholder perspectives, competitor scenarios and query categories, before producing a Pagefield GPS Score and a strategic action plan. Audits also include source analysis, citation and domain intelligence, and technical AEO website auditing.
The score provides organisations with a clear benchmark for how they are currently represented across AI platforms, establishing a baseline against which repeat audits can assess whether Pagefield’s recommendations are improving discoverability, accuracy, endorsement, and competitive positioning over time.
Oliver Foster, Pagefield Group CEO, said: “AI is already forming opinions about organisations. It decides how they are described, which competitors they are compared with, and whether they are recommended at the moments that matter.
“AI does not need to be trusted blindly to shape reputation. If people are using it as a starting point for understanding a company, organisation or individual, then the way AI describes, frames and recommends them already matters.
“Pagefield GPS gives our clients visibility into a reputational layer they often cannot see, yet it may already be shaping commercial, investor, media and policy outcomes.”
Laura Price, Pagefield Group Partner, added: “Generative AI is extremely powerful, but raw AI outputs are not strategy. The value lies in understanding what the data means, what matters reputationally and what an organisation or an individual should do next.
“This is not simply an SEO, AEO or GEO challenge. It is a reputation challenge. For communicators, the question is no longer just whether a brand appears in search results. It is whether AI understands the organisation accurately, positions it credibly and recommends it competitively.
“Communications professionals cannot afford to treat AI merely as a faster way to produce content. Our work is about judgment, context, influence and trust. GPS has been built around that principle: technology at scale, interpreted by experienced consultants and turned into a reputation-focused action plan.”












