Pagefield GPS (Generative Positioning Strategy) is a patent-pending AI reputation intelligence platform that analyses how generative AI systems perceive, describe and recommend organisations.

As AI increasingly becomes the first layer of research for customers, investors, journalists and stakeholders, GPS helps organisations understand the narratives AI systems are constructing around them: and how those narratives can be strategically improved.

What makes GPS distinctive is the combination of proprietary auditing technology and senior strategic consultancy. The platform delivers large-scale AI intelligence; Pagefield experts turn that intelligence into actionable reputation strategy.

Most AI visibility platforms focus on technical optimisation: tracking mentions, improving discoverability or managing structured data signals.
GPS operates at a more strategic level. It analyses not just whether an organisation appears in AI outputs, but how it is framed, whether it is endorsed, how it compares against competitors, and where reputational vulnerabilities may emerge.

Crucially, GPS is not a self-serve software dashboard. Every audit is interpreted by experienced Pagefield consultants who understand stakeholder influence, corporate reputation, communications strategy and competitive positioning.

This is not simply “AI SEO” or “GEO”. It is strategic reputation management for the AI era.

Pagefield’s proprietary audit engine simultaneously queries major AI platforms including ChatGPT, Claude, Gemini, Grok and Perplexity.

The system runs repeated audits across multiple stakeholder perspectives, query categories and competitive scenarios, generating large-scale comparative intelligence on how organisations are represented by AI systems.

GPS analyses factors including:

• discoverability,
• endorsement rates,
• perception quality,
• information accuracy,
• competitive positioning,
• citation and source intelligence,
• and reputational risk exposure.

The platform can also incorporate technical AEO (AI Engine Optimisation) analysis alongside broader reputation and narrative assessment.

GPS operates at significant analytical scale. A single audit often captures around 250,000 signals across thousands of AI-generated responses.

For more complex organisations, the platform can scale to tens of thousands of checks and more than one million data points across multiple AI systems, stakeholder simulations and repeated audit runs.

This allows GPS to move beyond anecdotal prompt testing and produce statistically meaningful insight into how AI systems consistently position an organisation over time.

AI systems generate enormous amounts of data, but data alone does not provide strategic judgement.

A competitor recommendation trend, a subtle narrative bias or a recurring misinformation pattern may have very different implications depending on an organisation’s sector, regulatory environment or stakeholder landscape.

That is why GPS combines proprietary technology with senior advisory expertise. Pagefield consultants interpret findings in context, identify what genuinely matters reputationally, and develop strategic recommendations that go beyond technical optimisation alone.

The technology identifies the patterns. The consultants determine the implications.

Yes — but not through simplistic prompt manipulation tactics.

Generative AI systems increasingly rely on authority, consistency, citation quality, digital credibility and broader reputation signals when constructing responses. GPS helps organisations understand which signals are shaping AI narratives and where strategic intervention is most likely to improve outcomes.

That may involve communications strategy, content architecture, media positioning, stakeholder messaging, technical optimisation or broader reputation management.

The objective is not to “game” AI systems. It is to ensure organisations are represented accurately, credibly and competitively within them.

GPS is particularly valuable for organisations where reputation materially influences commercial, regulatory or stakeholder outcomes.

That includes listed companies, professional services firms, financial institutions, healthcare organisations, multinational brands and businesses operating in politically or reputationally sensitive sectors.

Any organisation whose stakeholders increasingly rely on AI-generated summaries, recommendations or comparisons should understand how those systems are shaping perception.

AI systems are rapidly becoming a new layer of influence between organisations and their stakeholders. Increasingly, people encounter AI-generated recommendations and summaries before they engage directly with a company.

That means AI systems are already shaping visibility, credibility and competitive positioning — often without organisations realising it.

GPS gives organisations visibility into that emerging reputational layer, combining enterprise-scale AI intelligence with the strategic expertise needed to influence what AI says next.

At the centre of every audit sits the Pagefield GPS Score – a proprietary benchmark that measures how generative AI systems collectively represent an organisation.

Like a credit score, it reflects the cumulative forces shaping visibility, recommendation and reputation across AI platforms, moving as those forces change over time.

But the score is only the starting point. GPS shows what is driving performance – positively and negatively – and where the most important risks, gaps and opportunities sit. Pagefield experts then translate those findings into a focused programme of strategic recommendations designed to strengthen positioning over successive audit cycles.

There are five dimensions which make up the GPS Score:

• Discovery & Advocacy — When someone asks AI a broad question without naming you specifically, do you come up? This is the difference between being recommended and being invisible.
• Perception Quality — When AI does mention you, how are you described? A strong score means AI tells your story positively, even when the context may be negative.
• Risk Resilience — Does AI volunteer controversies or negative narratives about you without being asked? How prominently, and does it include your side of the story? A good score here means AI isn't leading with your worst moment.
• Competitive Position — When AI is asked to compare you against alternatives or competitors, does it position you as a leader or an afterthought? This is the head-to-head dimension.
• Information Accuracy — Is what AI says about you actually true? This catches hallucinated facts, wrong details, identity confusion, and misattributed work.

GPS will also look at your current AI Engine Optimisation (AEO), auditing your website and sources like Wikipedia. It asks: Is your digital presence technically built so AI can find, read, and cite it?

All prompts are editable and customisable. However, our system has been calibrated to ensure queries cover a meaningful test area, and to simulate a range of different ways that users interact with AI chatbots, so it’s encouraged to stick with the recommended scope of queries.

Margins of error tell us how certain we can be about the scores that the audit produces. Higher margins of error are an economic compromise if all you need is a fast, directional read of your current AI positioning – enough
to spot emerging issues and define an initial response. The lower margins of error are recommended for reports that might have major strategic implications, or for data that you may want to make public. At ±4%, Pagefield GPS will deliver a high-confidence analysis designed for board-level decision-making, regulatory engagement, and long-term strategic positioning.