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IAI advises industrial organisations on responsible AI adoption. We hold ourselves to the same standards we recommend to our clients — including being precise about how we use AI in our own operations. This statement explains how AI is and is not used in each of our tools, how scores are calculated, and the limitations of our methodology.

This statement will be updated as our use of AI evolves and as the regulatory environment develops.

01 Our Position

We use generative AI to create imagery and to power our business operations. We say so here. We hold ourselves to the same standards we recommend to our clients, including being precise about how we use AI in our own operations.

02 Hunter AI Index — How Scores Are Calculated

The Hunter AI Index is a self-reported diagnostic. Your archetype is determined by a weighted scoring formula applied directly to your 12 survey responses. Each question is assigned to one of four pillars. Your responses are scored against a defined scale and weighted according to the commercial and operational significance of each pillar at each maturity level.

No generative AI, machine learning model, or large language model is involved in calculating your score or assigning your archetype. The result is produced by a deterministic algorithm. The same responses will produce the same result every time.

03 Hunter AI Index — How AI Is Used

AI tools were used in the research, copywriting, and development phases of building the Hunter AI Index. Specifically:

04 AI Visibility Scorecard — How Scores Are Calculated

The AI Visibility Scorecard assesses how visible an organisation's digital presence is to AI-powered search and discovery tools. The Scorecard is generated automatically by retrieving publicly available data from your website and applying a defined scoring framework across a set of weighted criteria.

Criteria assessed include factors such as structured data markup, content clarity and specificity, technical accessibility, and signals that influence how AI search and retrieval tools index and cite web content.

The Scorecard is produced by a deterministic algorithm applied to the data retrieved at the time of the scan. The same website, scanned at the same point in time, will produce the same result.

Important limitations: The Scorecard reflects publicly available website data at the time of the scan. It may not reflect recent changes to your site. It is an indicative assessment, not a professional SEO audit. The criteria it assesses are based on IAI's current understanding of AI search and retrieval behaviour, which continues to evolve. Results should be treated as a starting point for improvement, not a definitive or comprehensive assessment.

05 AI Visibility Scorecard — How AI Is Used

Generative AI is used in one part of the AI Visibility Scorecard process: the written commentary and recommendations in your report are generated using a large language model, applied to your scored results. This commentary is generated automatically. It is not reviewed by a human before delivery.

The scoring itself — the numerical assessment of each criterion — is produced by a deterministic algorithm, not a generative AI model.

AI writing tools were used in developing the Scorecard framework, report templates, and supporting copy. All foundational content was reviewed and approved by Marnie Davey before publication.

06 Limitations Applying to All IAI Tools

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