Perth AV Achieves 100% AI Visibility

Organization

Confidential AV integration specialist

Industry

B2B Technology & AV Integration

Services Used

AI Search Visibility, AEO/GEO, AIO/LLM Optimization

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About

The client is a commercial and education AV integration specialist based in Perth, Western Australia. Its solutions span Microsoft Teams Rooms, interactive panels, digital signage, PA systems, and LED screens, serving business and education environments. The engagement ran from December 2025 to May 2026.

Challenges

  • Zero AI visibility: Across nine tracked buyer prompts, the brand was cited zero times in both Google AI Overviews and ChatGPT in December 2025.
  • Not ranked for its flagship category: For “Teams Rooms installers,” the brand was not organically ranked and was also absent from the AI answer.
  • Buyers were shortlisting inside AI answers: Facilities and IT buyers were asking AI for the best local installers before making contact, making AI visibility part of the vendor-selection process.
  • High-stakes B2B purchase: AV integration is heavily researched before a vendor is contacted, so being absent at the research stage meant missing the shortlist.
  • Gaps across key AI search factors: Entity clarity, structured data, answerability, and third-party authority were not strong enough for AI engines to confidently recall and trust the brand.

Goals

  • Establish visibility across high-intent AI searches for AV integration
  • Get cited across all nine tracked buyer prompts
  • Strengthen the entity, technical, content, and authority signals used by AI engines
  • Connect AI visibility to measurable organic traffic and conversions
  • Build a repeatable framework for measuring and improving AI search visibility

Solution/Approach

  • Rebuilt the SEO and access foundation: Ensured search and AI engines could crawl, render, and read every page properly.
  • Established the entity and structured-data layer: Implemented machine-readable Organization, Service, and FAQ schema so models could clearly understand who the brand is and what it offers.
  • Engineered answerability around real buyer prompts: Created direct, extractable answers to the exact questions behind the nine tracked searches.
  • Built third-party authority AI trusts: Strengthened citations and reviews on sources that AI models are more likely to weight and reference.
  • Measured the answer layer: Tracked mention rate, citation rate, and share of voice at prompt level, while monitoring AI referrals and movement in GA4.
  • Routed visibility to conversion: Connected AI-driven discovery to intent-matched landing pages designed around the commercial purpose of each query.

Results

  • 0 → 9/9 AI Overviews — Cited across every tracked buyer prompt.
  • 0 → 9/9 ChatGPT — Achieved full citation coverage across all nine prompts.
  • +50% organic sessions — Increased from December to May.
  • +54% organic key conversions — Increased over the same period.

The bigger win: The most important result wasn't simply reaching 9/9 citations. The brand achieved AI visibility despite not ranking organically for its flagship category query. The case demonstrates that AI search can put a B2B technology provider on the consideration set before traditional rankings catch up, when entity signals, answerable content, and third-party authority are strong enough.

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