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Press release · Original data · October 2026

Nearly Half of Local US Service Businesses Are Effectively Invisible to AI Assistants, 93-Business Scan Finds

By Ubaid Rehman, founder of AI Did It For You · Published October 1, 2026 · ~6 min read

93 local businesses scanned 16 industries · 6 US metros · live homepage fetches, Aug-Oct 2026 45% below the AI-readiness line 55% at or above 42 of 93 scored under 60 / 100 Most common gap in every market: answer-first Q&A with no page of its own.

As more customers ask AI assistants like ChatGPT, Perplexity and Google’s AI Overviews for recommendations before they ever open a search engine, a new rolling scan from AI Did It For You finds that most local businesses are not ready to be named in those answers. Of 93 independent, locally owned US businesses scanned across 16 industries and six metropolitan areas, 42 (45%) scored below 60 on a 0–100 AI-readiness scale — the threshold below which a business is largely invisible to AI answer engines.

FOR IMMEDIATE RELEASE — Rawalpindi, Pakistan — October 1, 2026. Media contact: Cynthia S., AI Did It For You, [email protected].

The one-line finding

Across 16 industries and 6 US metros, 45% of independent local businesses scored below the AI-readiness line — and more than a dozen carried hard technical faults that hide their own websites from AI crawlers entirely.

How the scan works

The scan assessed the observable signals an AI answer engine relies on: whether a page is indexable, whether it offers crawlable answer-first content and real question-and-answer material, how clearly it identifies the business and its location, and whether an AI would plausibly name it for a query like “best [category] in [city].” Every score came from an actual live fetch of each business’s website — the raw content a non-JavaScript crawler and most AI retrieval systems actually see. No scores were invented or padded.

The rolling sample spans six metros and 16 industries: chiropractors in Spokane, WA; HVAC, plumbing, law firms, med spas and veterinary practices in Fort Wayne, IN; auto repair, roofing and accounting firms in Knoxville, TN; electricians, pest control and landscaping in Des Moines, IA; dentists in Grand Rapids, MI; and gyms, independent insurance agencies and hair salons in Wichita, KS. National chains and multi-location roll-ups were excluded to keep the sample independent-owned.

The data

MetroIndustriesBusinessesScored below 60
Spokane, WAChiropractic147 (50%)
Fort Wayne, IN + Knoxville, TN8 (HVAC, plumbing, law, med spa, vet, auto, roofing, CPA)5022 (44%)
Des Moines, IAElectricians, pest control, landscaping84 (50%)
Grand Rapids, MIDentists93 (33%)
Wichita, KSGyms, insurance, hair salons126 (50%)
All markets16 industries9342 (45%)

No metro in the sample averaged above the low 60s out of 100. The weakest single vertical was veterinary practices; the strongest was roofing, the one category where several firms already ran real FAQ content.

What the numbers mean

The most consistent finding was the same in every market: answer-first questions and answers that have no page of their own. The information a customer would ask — pricing, process, what’s included — usually existed somewhere on the site, but was buried inside marketing prose or trapped in a homepage accordion with no address an AI could cite.

More striking were the hard technical faults. More than a dozen of the 93 sites carried a defect that can make a business invisible to AI crawlers outright — homepages returning a blank or near-empty body to a plain crawler, a site set to “noindex” sitewide despite strong reviews, a business whose entire website was geo-templated for the wrong state, and homepages still shipping unreplaced “Lorem ipsum” placeholder text or missing their title and meta tags. In these cases the content exists and looks fine in a browser, but the server hands nothing usable to the systems AI relies on.

From the founder

“The scary part isn’t the businesses with bad websites. It’s the ones with good websites that are invisible anyway,” said Ubaid Rehman, founder of AI Did It For You. “We found sites that look perfect to a human and return a blank page to a crawler. The owner has no idea their site is quietly telling AI they don’t exist.”

The scan builds on the company’s earlier spot-check of 17 local businesses, published in August 2026, which found only 5 of 17 were rated “AI-ready.” The larger rolling dataset shows the pattern holding across new cities and industries. See the earlier study: We Scanned 17 Local Businesses for AI Visibility.

How to check your own business

Business owners can check their own AI visibility free, with no login, using the AI Visibility Scanner — it returns an instant red/yellow/green score. For a brand-level view, run the free AI Visibility Audit. To go deeper, read the two companion guides: Best AI Visibility (AEO/GEO) Tools in 2026, Compared and AI Visibility Audit: The Complete 2026 Guide.

Honest limitations

  • It is a directional convergence sample, not a representative census.
  • Scores are a single tool’s estimate at a point in time; they can move as sites and AI models change.
  • Because the fetch tool strips scripts, structured-data markup could be neither confirmed nor ruled out, and was not scored for or against any business.
  • No individual businesses are named in this release.

About AI Did It For You

AI Did It For You (aididitforyou.com) is an independent studio that builds practical, responsibly built AI tools for small businesses and agents, including AI-visibility audits, AI phone agents and website assistants. It publishes original data on how local businesses show up in AI search and offers both free tools and a done-for-you AI Visibility Sprint.

Media contact: Cynthia S. · [email protected] · https://aididitforyou.com/ · Keywords: AI visibility study, local business AI search, answer engine optimization, AI readiness, generative engine optimization (GEO)

Frequently asked questions

How many businesses were scanned, and what was the headline result?
93 independent, locally owned US businesses across 16 industries and 6 metros were scanned between August and October 2026. 42 of 93 (45%) scored below 60 on a 0–100 AI-readiness scale — the point below which AI answer engines largely skip them.

What was the single most common problem?
Answer-first question-and-answer content that has no page of its own. The information customers ask about usually existed on the site but was buried in prose or trapped in a homepage accordion with no citable URL.

What are the hard technical faults?
More than a dozen sites returned a blank or near-empty body to a plain crawler, were set to noindex sitewide, were geo-templated for the wrong state, or still shipped placeholder text or missing title/meta tags — any of which can make a business invisible to AI crawlers.

What are the limitations of this study?
A single tool at a single point in time, a directional convergence sample rather than a census, and structured-data markup that could not be confirmed because scripts are stripped on fetch.

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