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LOCLshop Delivers 15-Point Jump in AI Search Visibility over 4 weeks, Turning AEO Into a Measurable Growth Metric

By Blake Kelley

July 28, 2026

a four-week pilot, a multi-location brand’s Local AEO score climbed from 39 to 54 across 27 independent assessment runs — evidence that visibility in AI-generated answers can be tracked and improved, location by location.

Local AEO score trajectory for a LOCLshop pilot location — 27 assessment runs, June–July 2026. First run 39 · Latest 54 · +15 points.

  1. PETERSBURG, Fla. — July 22, 2026 — LOCLshop, a buying platform to source AI Search Ready Media for Performance Marketers, today shared new performance data showing a pilot location’s AEO score rising 15 points — from 39 to 54 — in roughly four weeks. Measured across 27 independent assessment runs, the gain represents a nearly 38% improvement in how consistently the location is found, mentioned, and chosen in answers produced by AI engines including ChatGPT, Google’s AI Overviews and Gemini, Perplexity, Microsoft Copilot, and Claude.

As consumers increasingly ask AI assistants where to eat, shop, and go, the answers those engines return have become a decisive storefront — one that traditional SEO was never built to measure. A brand can rank on page one of a search engine and still be absent from the AI-generated answer a customer actually reads. LOCLshop exists to close that gap at the level that matters most for physical businesses: the individual location.

“AI search has made brand visibility measurable at the individual-location level for the first time,” said Michael Weaver, Founder and CEO of LOCLshop. “A 15-point gain in four weeks isn’t a vanity metric — it’s the difference between showing up when a customer asks an AI assistant where to go and being left out of the answer entirely. What gets measured gets improved, and brands can finally measure it.”

How the score moves

LOCLshop scores each location on a found → mentioned → chosen rubric and re-assesses continuously, reporting a three-run rolling average to smooth the natural variance in how AI models respond. The pilot’s trajectory — a steep early climb as foundational fixes took hold, then a higher, steadier band — mirrors the pattern LOCLshop sees when the right data foundation is put in place before any media spend. Notably, the location reached its result with eight recommendations still open, indicating additional headroom.

The company benchmarks each AEO point at roughly +0.7% in revenue lift. On that basis, a 15-point gain models to double-digit revenue upside for a single location — a figure LOCLshop presents as a directional benchmark rather than a guarantee.

“This is measured, not estimated,” said Douglas Burke, Co-Founder and Publisher of LOCLshop. “Every point on that chart is an assessment run, not a projection. That’s what lets a brand hold us — and hold the work — accountable week over week.”

LOCLshop’s approach follows a simple sequence brands can verify in their own tools: build the on-page foundation that makes each location readable to AI engines, then amplify off-page. It is summarized in the company’s positioning: SEO wins the page. Brand AEO wins the topic. LOCLshop wins the location.

About LOCLshop

LOCLshop is a Buying Platform to source AI Search Ready Media for Performance Marketers, making each digital site or physical store location more likely to be the one AI recommends shoppers choose to buy your product or service. LOCLshop’s customers use this platform to buy Performance Media to deliver measurable increases in physical and digital traffic that lift sales at that store.

LOCLshop operates under Fairchild RMN LLC and is based in the St. Petersburg, Florida area. Learn more at loclshopaeo.com.

Media Contact

Michael Weaver

Founder & CEO, LOCLshop

michaelw@fairchildrmn.com · 203-273-3737

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