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Digi-Buzz says GEO case study lifted four resale stores' sales 24.6%

Oct. 26, 2026
Digi-Buzz says GEO case study lifted four resale stores' sales 24.6%
By AI, Created 14:15 UTC, Oct 26, 2026, AGP -

Digi-Buzz says a location-focused Generative Engine Optimization test helped four Disc Replay and Mega Replay stores appear in Google Gemini recommendations and coincided with an average 24.6% sales increase from June to July 2026. The company says the results show how local AI visibility can support brick-and-mortar business discovery.

Why it matters: - Digi-Buzz is betting that local search visibility in AI-generated answers can drive real store traffic and sales for small, location-based businesses. - The case study ties observed Gemini recommendations to a reported average 24.6% increase in total sales across four stores. - The project offers a test case for how retailers can compete in AI search without controlling a brand-wide website.

What happened: - Digi-Buzz published a GEO case study centered on four franchise locations: Disc Replay Davenport, Disc Replay Rockford, Mega Replay Peoria and Mega Replay Bloomington. - The stores buy and sell video games, movies and other pop-culture products. - Digi-Buzz focused on the owner's participating franchise locations rather than the national brand. - The GEO effort launched locally and tracked results over less than three months. - The case study says the stores appeared in observed Google Gemini recommendations for queries such as the best place to buy video games in Rockford and the best place to buy movies in Peoria. - Disc Replay Rockford and Mega Replay Peoria were recommended in those observed Gemini responses.

The details: - Digi-Buzz says the strategy combined locally relevant content with community engagement across the web. - The work was implemented without access to manage the company-wide website. - The project also documented store-related content appearing in first-page Google Forums results. - Digi-Buzz says those search appearances are separate from the AI-generated recommendations. - The 24.6% figure is the arithmetic average of the four locations' individual percentage increases in total sales from June to July 2026. - The calculation used client-provided sales reports and gave each store equal weight. - The figure is not based on combined revenue across the four locations. - The sales comparison shows growth after the GEO launch, but it does not isolate how much of the increase came from GEO. - AI-generated recommendations are observed examples and can change by query and date. - Digi-Buzz says the detailed execution methods remain proprietary. - Businesses interested in the GEO approach can visit more information or call 702-218-9027.

Between the lines: - The case study is as much a visibility proof point as a sales report. - Digi-Buzz is positioning GEO as a local marketing tactic for multi-location businesses that need individual stores to surface in AI answers, not just the parent brand. - The report uses careful framing around causation, which suggests the company wants to show correlation and process without overstating direct impact.

What's next: - Digi-Buzz is likely to keep using documented AI recommendations and store-level sales comparisons as the main evidence for its GEO offerings. - The company says its broader approach combines social media marketing and location-focused GEO strategies to support online presence and AI visibility. - Disc Replay and Mega Replay locations may continue to be used as examples of how local relevance can influence AI-driven discovery.

The bottom line: - Digi-Buzz says local GEO helped four resale stores show up in Gemini recommendations and coincide with measurable sales growth, making a case for AI search as a practical channel for neighborhood retail.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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