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GEO/AEO
Jaquar UK
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Case Study :
Jaquar UK AEO

How we increased the AI visiblity of Jaquar UK website

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Objectives

Increase Jaquar UK's AI visibility in the LLM's.

Jaquar UK had strong traditional SEO performance but minimal visibility inside AI-generated search results.

Brand mentions, citations, and AI Share of Voice were significantly lower than key competitors.

Challenges

  • Content designed for blue-link SEO, not AI interpretation
  • Website architecture not optimized for LLM parsing
  • Limited third-party brand mentions and citation signals

Strategy

We implemented a 3-pillar Answer Engine Optimization strategy aligned with how AI systems discover, understand, and cite information:

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1. AI-First Content Optimization

  • Authoritative, in-depth content covering complete user intent
  • Entity-rich language aligned with products, concepts, and use cases
  • Answer-ready structure mapped to natural language queries

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2. Structured Technical Architecture

  • Clear heading hierarchies and semantic HTML
  • Strong internal entity connections and topic clustering
  • Improved crawlability and contextual clarity for LLMs

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3. Brand Mentions & Citation Signals

  • Creation of citation-worthy assets (guides, insights, data-led content)
  • Increased contextual third-party brand mentions
  • Strengthened off-site authority signals for AI trust models

Key Outcome

We successfully delivered the campaign, ensuring a seamless and timely launch across channels.
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Results (June–Dec 2025):-

1. Significant growth in AI brand mentions and citations.
2. Strong increase in AI Share of Voice across generative platforms.
3. Jaquar UK became the market leader in AI visibility within its category.

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