What AI search recommended this week

14 September 2026 · Based on 114 recorded test runs · AI Visibility Index

AI search engines are already recommending a fairly consistent set of local landscapers, but the winners vary a lot by city and even by punctuation in the query. In the recorded test runs, some businesses appeared in a majority of answers, while others only surfaced in one phrasing and not the other.

The clearest pattern is that AI systems are not returning a single universal local leader; they are surfacing different businesses depending on the exact wording of the question. That makes local AI visibility less like traditional ranking and more like a mix of entity recognition, query interpretation, and answer selection.

What the data shows

Austin, TX

For the query “landscaper in Austin, TX?”, the most frequently named business was Southern Love Landscaping & Design, which appeared in 84% of answers across 19 test runs. Ground & Garden followed at 79%, then Top Choice Lawn Care at 63%, Austin Creative Landscaping at 47%, and Anderson Landscapes at 42%.

That result set suggests a relatively concentrated answer pattern, with two businesses clearly standing out above the rest. The top five were all named in a substantial share of responses, but the gap between the top pair and the lower entries was still meaningful.

Chicago, IL

Chicago produced one of the most striking examples of query sensitivity. For “landscaper in Chicago, IL”, Cityscape Landscape was named in 79% of answers, Patch Landscaping in 63%, Christy Webber Landscapes in 47%, and both Christy Webber Landscaping and Bruce Lawn Service in 26%, again across 19 test runs.

When the query changed to “landscaper in Chicago, IL?”, the distribution changed sharply. Christy Webber Landscapes reached 100% of answers, Mariani Landscape appeared in 79%, Topiarius in 53%, Cityscape Landscape LLC in 47%, and Chicago Specialty Gardens in 42%.

The difference between these two Chicago prompts is the strongest evidence in this dataset that small wording changes can shift which businesses AI search engines recommend. It also shows that a business may be visible under one phrasing and much less visible under another, even when the intent looks nearly identical.

Melbourne, Australia

Melbourne showed a similar pattern of query variation. For “landscaper in Melbourne, Australia”, Ian Barker Gardens was named in 68% of answers, Oneflare in 58%, Garden More Landscaping in 47%, Grassroots Landscaping & Maintenance in 37%, and Love It Landscaping in 32%.

For “landscaper in Melbourne, Australia?”, Bayside Landscaping dominated at 100%, followed by KD Landscapes at 68%, Ian Barker Gardens at 53%, Love It Landscaping at 53%, and Garden More Landscaping at 47%.

Here too, the presence or absence of a question mark reshaped the answer set. Ian Barker Gardens remained visible in both versions, but Bayside Landscaping jumped to the top only in the version with the question mark.

Phoenix, AZ

Phoenix was another market where a few names dominated the response set. For “landscaper in Phoenix, AZ”, Diamond Stone & Synthetic Grass was named in 74% of answers, BIG BOSS Landscape in 63%, Unwind Landscapes in 58%, Merit Landworks in 37%, and Franks Hardscape & Landscape Design LLC in 32%.

Unlike Chicago and Melbourne, Phoenix did not have a second query variant in the recorded data, so the main takeaway is concentration rather than phrasing sensitivity. The top three businesses were all named in more than half of answers, which indicates strong visibility within this test set.

What this means if you’re a local business

For local businesses, AI visibility now depends on more than just being findable in maps or search results. The systems need clear entity signals, crawlable pages, consistent business details, and answer-ready content that makes it easy to connect a query with a real company.

The practical implication is straightforward: businesses should make sure their name, address, phone number, service areas, and service categories are consistent across their website and major listings. They should also build pages that clearly explain what they do in plain language, because AI systems often prefer information that is easy to extract and cite.

Citable answers matter too. When AI systems generate local recommendations, they tend to favor businesses with strong, consistent entity footprints that can be summarized confidently. That means business pages, service pages, FAQ content, and reputable third-party mentions all help create a clearer signal.

FAQ

Why do the results change when the query wording changes slightly?
Because AI search engines may interpret nearly identical prompts differently and weight different business entities in the answer. The Chicago and Melbourne tests show that even a question mark can change which businesses are recommended.

Does being named in these answers mean a business is the best choice?
No. It only means the business was surfaced often in these recorded runs. These results measure visibility in AI answers, not service quality or customer satisfaction.

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