What AI search recommended this week

07 September 2026 · Based on 108 recorded test runs · AI Visibility Index

AI search engines do not recommend every local business evenly. In these recorded test runs, a small set of landscapers consistently surfaced first, with different cities showing different “winners” and occasional name variations that split visibility across near-duplicates.

The clearest pattern is concentration: a few businesses dominate the answers, while several others appear often enough to matter but not enough to lead across every prompt variation. That makes local AI visibility look less like a broad directory listing and more like a shortlist that changes by city, phrasing, and naming consistency.

What the data shows

In Austin, the landscaper prompt produced a strong repeat leader. For “landscaper in Austin, TX?”, the most named business was Southern Love Landscaping & Design, appearing in 84% of answers across 19 test runs. Ground & Garden followed at 79%, Top Choice Lawn Care at 63%, Austin Creative Landscaping at 47%, and Anderson Landscapes at 42%.

Austin also showed how prompt wording can change the mix. For “landscaper in Austin, TX” across 18 test runs, Southern Love Landscaping & Design rose to 94%, while Anderson Landscape appeared in 89% of answers. Ground & Garden dropped to 39%, Top Choice Lawn Care to 22%, and Austin Pro Landscape to 17%. That spread suggests AI systems are not simply copying a fixed ranking; they are assembling recommendations from a moving set of signals.

Seattle showed a different pattern, with one business leading the way in the question form that included a question mark. For “landscaper in Seattle, WA?” across 18 test runs, Seattle Sustainable Landscapes appeared in 94% of answers, followed by Devonshire Landscapes Inc at 78%, Eagle Rock Landscaping Inc. at 67%, Landcrafters at 33%, and Seattle Gardening Co. at 22%.

For “landscaper in Seattle, WA” across 19 test runs, Devonshire Landscapes Inc became the most named business at 89%. New Life Rockeries & Retaining Walls appeared in 79% of answers, Urban Oasis Design & Construction LLC in 74%, and two similar entries — “Seattle Times Best in PNW nominee” at 26% and “Seattle Times Best in PNW Nominee” at 5% — showed how nearly identical names can fragment visibility when an AI system repeats or varies the phrasing.

Chicago was more concentrated at the top but still showed name fragmentation lower down. For “landscaper in Chicago, IL” across 17 test runs, Cityscape Landscape appeared in 76% of answers and Patch Landscaping in 65%. Christy Webber Landscapes appeared in 47%, while Christy Webber Landscaping showed up in 29% and Christy Webber in 24%. The split between those last three entries is a useful reminder that AI systems may treat similar business names as separate entities.

Denver showed a similar top-heavy pattern. For “landscaper in Denver, CO?” across 17 test runs, Lifescape Colorado appeared in 88% of answers. JR Landscapes LLC followed at 59%, Mile High Landscaping at 53%, Designs by Sundown at 41%, and Designs By Sundown at 35%. Here again, capitalization and naming variation appear to matter because the system surfaced two versions of the same-looking brand separately.

What this means if you’re a local business

The practical lesson is that AI search visibility is partly an entity problem, not just a ranking problem. If a business name appears in different forms across listings, reviews, directories, and press mentions, AI systems may split that authority across variants instead of confidently choosing one canonical name.

Local businesses that want to show up more often in AI answers should make their identity easy to crawl, easy to verify, and easy to cite. That means consistent business names, clear service descriptions, strong location signals, and pages that answer common customer questions in plain language.

It also helps to publish information that an AI can reuse directly: service areas, specialties, contact details, and proof points that are easy to quote without guessing. The goal is not just to rank in search results, but to become a reliable answer object that systems trust enough to name.

FAQ

Do AI search engines always recommend the same local business?
No. The test runs show that different prompt wording can change which business is named most often, even within the same city.

What is the biggest visibility risk for local businesses?
Inconsistent naming. When a business appears under multiple similar names, AI systems may split its visibility instead of reinforcing one clear entity.

All numbers above come from recorded test runs published in our open data index. Want your business tested? One-time diagnostic, no subscription.