AMEC launches GEO Principles to bring rigour to AI-led measurement
AMEC, the International Association for the Measurement and Evaluation of Communication, has launched the AMEC GEO Principles alongside a companion resource, A Practitioner’s Guide to GEO Measurement, to help communication professionals measure and understand the growing impact of AI-led discovery, search and generative answer environments.
The initiative responds to the rapid rise of AI-generated summaries, conversational search, large language models and zero-click discovery, which are increasingly shaping how organisations, brands and reputations are found, understood and trusted online.
Developed over more than six months, the principles and guide were shaped through collaboration between agency practitioners, analysts, academics, technology specialists and AMEC members.
GEO, or Generative Engine Optimisation, is increasingly being used to describe how organisations appear in AI-generated answers and discovery environments. AMEC’s new principles are designed to help practitioners assess this area responsibly and ethically, without reducing measurement to simplistic rankings, vanity metrics or opaque scores from individual tools.
The work builds on AMEC’s wider legacy in communication measurement and evaluation, including the Barcelona Principles, the Integrated Evaluation Framework and the Data Quality Initiative, encouraging practitioners to connect GEO measurement to real communication objectives, reputation, trust and organisational outcomes.
The AMEC GEO Principles set out a framework for measuring AI-led discovery across three connected areas:
- upstream reputation - the earned, shared and owned signals shaping how an organisation is understood, including media coverage, reviews, expert commentary and reputation signals
- search and content readiness - the extent to which digital content is structured, credible, accessible and interpretable by search engines and AI systems
- downstream AI outputs - how organisations appear in AI-generated answers, including accuracy, prominence, framing, citations, omissions and reputational risk
The principles also introduce baseline evidence requirements for GEO measurement, including repeatable prompts, documented methods, transparent assumptions and clear limitations. They reinforce that AI outputs should be treated as directional evidence rather than absolute truth.
James Crawford, managing director of PR Agency One and AMEC board director, said:
“Clients and boards are increasingly asking how GEO and AI-generated outputs should be measured. There is some excellent innovation taking place, but there are also uneven standards, overclaiming and methodologies that are not always transparent enough.
“These principles were created because the industry needs a more rigorous and credible way of evaluating AI-led discovery. The most useful measurement comes from triangulating evidence: understanding the reputation signals feeding the information environment, whether organisations are technically and editorially discoverable, and what AI systems ultimately present to users.”
Johna Burke, CEO and global managing director of AMEC, said:
“As AI increasingly shapes what people see, trust and act upon, the communication industry must hold itself to higher levels of transparency, evidence and accountability.
“The AMEC GEO Principles reflect a global collaborative effort to encourage more responsible, rigorous and credible approaches to measurement in the AI era.”