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AI for search, personalisation and retail media

A different store for every customer.

Bring what each shopper wants together with what your business needs.

Search, recommendations, retail media and promotions across your digital store and AI shopping experiences.

Retail Media's AI Reset — Beth Smith at IAB UK Retail Media Growth Summit 2026 | Particular Audience

Beth Smith, VP Customer Success at Particular Audience, at the IAB UK Retail Media Growth Summit 2026: why search is being rewritten, the five AI layers, and why retailers must own the decisioning layer.

Retail Media's AI Reset — Beth Smith, VP Customer Success, Particular Audience, keynote at the IAB UK Retail Media Growth Summit 2026. Search is being rewritten — and with it, the rules of performance, targeting and visibility.

89% of retailers lack advanced targeting capability (IAB Europe retail media buyer study). Keyword retrieval loses ~75% of intent; reasoning (transformer) search understands it.

Five distinct AI layers: causal measurement, predictive ML, decisioning, generative and agentic orchestration. Monetisation lives in decisioning — an LLM cannot natively enforce inventory, margin or sponsored-bid constraints.

Cases: a leading pet retailer reached 4× search monetisation coverage after switching to AI relevance (sequential before/after). An electronics retailer grew share of voice 30%→66%, share of clicks 20%→40% (+121%) and share of sales 50%→70%, with average click position 11.4→9.6. A beauty retailer's bid-only switch-off scaled ad reach 9× while retail media CTR fell 87.3% and sitewide sales 55.6%.

RMN action map: transformer search foundations now, decisioning next, agentic surface (MCP, ChatGPT Apps and Ads) emerging — you can't skip ahead.

Own the ranking layer — or become inventory inside someone else's.

Retailers anonymised; results are before/after comparisons shared on stage, directional.

Adaptive Transformer Search · Agentic Commerce & MCP · From Segments to Signals