Case Study

CASE STUDY
SERVICES • Generative Engine Optimization (GEO) • Large Language Model Optimization (LLMO) • AI Search Visibility
CASE STUDY
From minimal visibility to 35% AI search coverage

During the reported November–June tracking period, the brand recorded substantial growth in AI search visibility across the measured event-related query set.

35%
OVERALL AI VISIBILITY

Up from approximately 1.3%

39%
GEMINI VISIBILITY

Across the tracked query segment

34%
PERPLEXITY VISIBILITY

Across the tracked query segment

01

A UK-based event brand wanted to strengthen its visibility across AI-powered search platforms, so its products and services could be discovered more easily when potential customers researched options, explored ideas, and compared providers.

As AI-assisted discovery became a more important part of the customer journey, the brand had an opportunity to improve how often it appeared in relevant AI-generated responses and recommendations.

02

AI platforms were frequently surfacing directories, marketplaces, and comparison websites instead of individual service providers. Initial tracking showed approximately 1.3% overall AI visibility, with no recorded visibility on ChatGPT or Perplexity in the initial measurement.

VISIBILITY GAP WHAT NEEDED TO CHANGE
Low AI search visibility Increase the brand’s representation across AI-generated responses for relevant event-related queries.
Limited direct brand discovery Improve the likelihood of the brand appearing alongside directories and aggregators during product and service research.
Insufficient service-level context Make individual offerings easier to understand and match to customer needs, preferences, and use cases.
03

We implemented a GEO and LLMO strategy built around three priorities: expanding relevant content, strengthening third-party brand representation, and making product and service information clearer for AI systems and prospective customers.

01
Educational content development

Expanded content around event service categories, product types, styles, themes, and purchasing considerations to address a wider range of customer questions.

02
Third-party brand presence

Improved the brand’s representation across relevant directories, comparison platforms, and industry roundups, strengthening its presence in the wider research ecosystem.

03
Platform-aware optimisation

Refined content and product information for relevance and clarity across AI discovery platforms, including Gemini and Perplexity, while monitoring the wider tracked platform set.

04
Richer product and service information

Clarified what the brand offered, who each service was suited to, and the use cases each offering addressed—building stronger context around customer queries.

05
Query-level tracking

Monitored performance across more than 2,400 event-related queries to measure visibility and identify platform-specific optimisation opportunities.

04
MEASURE INITIAL POSITION REPORTED RESULT CHANGE / SIGNIFICANCE
Overall AI visibility ≈1.3% 35% +33.7 percentage points
Gemini visibility Not specified 39% Strong visibility across the tracked query segment
Perplexity visibility 0% recorded initially 34% Meaningful presence across the tracked query segment
Tracked query set — 2,400+ queries Broader measurement across event-related searches
Direct brand discovery Directories and aggregators often surfaced Stronger brand representation was a campaign focus Improved opportunity for direct discovery in AI-generated responses
Measurement note: The 39% Gemini and 34% Perplexity figures refer to the tracked query segment reported for each platform. The source brief describes this segment as “tile-related queries”; this has been phrased more generally here as “tracked query segment” to avoid an unclear category label. Platform-specific starting values were not provided except for the initial 0% recorded on Perplexity.
05

The campaign helped move the brand from limited initial AI visibility to a more substantial presence across the measured AI search landscape. By expanding educational content, strengthening third-party brand representation, and improving product and service context, we built a stronger foundation for AI-assisted brand discovery.

The results underline the value of combining content relevance, online authority, and platform-level measurement as customer research increasingly extends beyond traditional search engines.

06

At Digital Promenade, we help businesses improve visibility across Google Search and AI-powered platforms through SEO, GEO, and LLMO. We identify visibility gaps, optimise content around real customer questions, strengthen brand representation across relevant sources, and build strategies that make businesses more discoverable throughout the customer journey.

Back to Case Studies Request a Quote
WhatsApp Book Free Consultation
Chat with us