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Case Study - How AI Generative Engine Optimization (GEO) Drove Real Results for Our Clients

AT A GLANCE

CHALLENGES

  • Dropping visibility in AI search
  • Missing from local conversational queries
  • Content not understood or trusted by AI

OUTCOMES

  • Appearing in AI-generated answers
  • Stronger presence in location-based AI summaries
  • Higher engagement and more high-intent inquiries

Overview

With the rise of AI-driven search tools like ChatGPT, Perplexity, and Google’s SGE (Search Generative Experience), the way people discover businesses online is quickly changing. Traditional SEO is no longer enough — visibility now depends on how your brand appears within AI-generated responses.

At RTOWN, we implemented AI Generative Engine Optimization (GEO) for several businesses to ensure they remain visible and relevant across these new search ecosystems.

This case study highlights real client results — gathered directly from our AI GEO referral dashboards and performance screenshots — showing how our strategy helped businesses get discovered more often, appear in AI-generated recommendations, and increase local traffic.

Challenge

Businesses were noticing a decline in website visibility and referral traffic, even though their SEO rankings remained strong. The issue?
AI-driven platforms were becoming new “search gatekeepers.” When potential customers asked questions like “best coffee shop near me” or “trusted family lawyer in Ontario,” AI systems were generating direct answers — often leaving out businesses not optimized for these engines.
Our Goal:
  • Improve brand visibility in AI-generated search results
  • Capture new referral traffic from generative platforms
  • Future-proof local SEO strategies

The Solution: RTOWN’s AI GEO Framework

Using our AI Generative Engine Optimization framework, we optimized client web pages and profiles for generative discovery — targeting how AI tools interpret, summarize, and recommend brands.
Our process included:
  • AI-indexed content structuring: Training AI crawlers to understand and reference the client’s brand accurately.
  • Conversational keyword mapping: Integrating natural language queries that match how users ask questions in chat-based search.
  • Entity linking & schema enhancement: Helping AI connect each brand to its category, expertise, and local area.
  • Content validation: Ensuring generative models cite and prioritize verified, trustworthy sources.

The Results

Across multiple clients and industries, we saw measurable gains:
Increase in AI referral visibility — Brands began appearing in AI-generated answers across platforms like ChatGPT, Gemini, and Bing Copilot.
Expanded local presence — Businesses were surfaced in location-based AI summaries, not just traditional maps or search results.
Higher engagement and inquiries — Users arriving from generative search channels showed strong engagement metrics and higher intent.

Why It Matters

Generative search isn’t the future — it’s happening now.
Businesses that adapt early with AI GEO strategies are gaining an edge in discoverability, credibility, and conversion.

Just as SEO helped brands thrive in the Google era, GEO helps them thrive in the AI era.

See how your business can benefit from AI Generative Engine Optimization today: https://rtown.ca/generative-engine-optimization-geo/

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RTOWN wants to help you and your business grow! Contact us today to discuss all of your digital marketing needs, questions, comments, or concerns. You can also reach us @ 705-791-3436.

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