BargainMax

BargainMax

Content
AI Search

BargainMax required LLM optimisation support to improve their visibility across AI-driven search experiences, close the gap on competitors, and increase their presence within the AI citations and responses that are increasingly shaping how shoppers discover and buy online.

Objective

BargainMax came to us lagging behind the majority of their competitors in LLM visibility. Operating in a fast moving retail space where AI-driven search experiences are playing an increasingly influential role in purchase decisions, the gap needed to close, and quickly.

Our initial research identified clear opportunities: key product and category pages were not being picked up within AI-driven responses, and BargainMax had limited presence across the citation platforms that matter most to their customers. The goal was straightforward: get BargainMax cited, recommended and surfaced across AI search experiences for the keywords their audience was actually using.

What We Did

We began with in-depth LLM research across BargainMax’s key priority keywords, identifying exactly what factors were influencing visibility and citations within AI-driven search experiences. This gave us a clear picture of where the gaps were and what it would take to close them.

Using insights from our own LLM Insight Tool, we integrated recommendations directly into BargainMax’s existing PLP and blog content strategies. Rather than treating LLM optimisation as a standalone exercise, we wove it into the content workflows already in place, making every piece of content work harder across both traditional and AI search.

Our focus areas included:

  • Structuring content and on-page signals to maximise LLM citation opportunities across key category and product terms.
  • Identifying and targeting AI-specific keywords that BargainMax had previously been absent from, including niche, high-intent queries.
  • Improving positioning within AI-driven responses for priority product categories, driving measurable uplift in both visibility and session performance.

A key part of our approach was ensuring BargainMax ranked for the kind of AI keywords that reflect how real shoppers search, conversational, specific, and research led.

Queries like ‘What’s the rarest LOL doll?’, ‘What is the rarest Hot Wheels car?’ and ‘What are considered sensory toys?’ are exactly the type of question that drives AI citation traffic, and exactly where we targeted our efforts.

Key Results

+566%

Increase in LLM traffic potential

+1.3k

New LLM citations acquired

+438

Citations gained in AI Overviews

+621

Citations gained in AI Mode

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