Food and nutrition science · AI Search

Building an AI Search Strategy for a Science-Led Food and Nutrition Organisation

Creating the research, measurement and technical foundations needed to improve how specialist scientific content is discovered and cited by AI systems.

The organisation had an established library of articles, science hubs, white papers, webinars, podcasts and expert contributions. The project brought those assets into one evidence-led AI-search programme delivered over approximately four to five months.

The challenge

The organisation already held substantial scientific authority, but had no consistent view of how that expertise appeared within AI-generated answers. It needed to understand which questions mattered, which sources AI systems cited, where competitors were more visible and whether its content and technical foundations made specialist knowledge easy to interpret.

The task was broader than conventional keyword optimisation. It required a measurable baseline, a structured view of the existing content estate and a practical programme that scientific, editorial and digital teams could use without weakening their evidence standards.

What we did

The work was delivered as one integrated programme, with each stage informing the next.

Defined the questions and entities
Developed and validated approximately 30–40 priority AI-search questions, identified competing sources and created a brand dictionary covering important topics, terminology and expert entities.
Benchmarked AI visibility
Assessed visibility, citations, source usage, competitor presence, relative share of voice and brand context across six agreed AI and search platforms.
Mapped the content estate and gaps
Reviewed articles, science hubs, white papers, webinars, podcasts and expert content, then compared existing coverage with the validated query set to identify strengths, structural weaknesses and genuine gaps.
Converted the evidence into action
Produced content recommendations, publishing guidelines, a technical AI-search readiness audit and a prioritised roadmap organised by likely impact and implementation effort.

What the organisation received

The completed programme established a governed baseline and a practical route from research to implementation.

A validated AI-search framework

A priority query set, competitor framework and brand dictionary covering the questions, entities and terminology the organisation needed to monitor.

A measurable visibility baseline

A documented starting point across six platforms covering appearances, citations, source usage, competing sources, share of voice and context.

A structured content evidence base

A content and topic map, gap analysis and prioritised recommendations for strengthening existing resources and filling justified gaps.

An implementation roadmap

Practical publishing guidelines, technical recommendations and sequenced next steps for content, editorial and digital teams.

Evidence

Evidence and scope

The project established a documented AI-visibility baseline and implementation roadmap; this case study does not claim an increase in citations or visibility without approved follow-up measurement.

Method

The completed work combined validated question research, observation across six agreed AI and search platforms, a structured review of the organisation’s content estate and a technical assessment of the website.

Evidence context

The outputs covered the organisation’s scientific articles, topic hubs, white papers, webinars, podcasts, experts and evergreen resources. Recommendations were designed to complement its scientific and editorial standards.

Limitations

Post-implementation changes in AI visibility, citations or share of voice require a later measurement period and approved comparative evidence before they can be stated.

Related service area

This project was delivered through DSC’s AI Search and Future Readiness service area.

AI Search and Generative Engine Optimisation

Improve how clearly your organisation can be found, understood and represented across AI-mediated discovery.

Make your organisation easier to find and cite in AI search

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