We Audited 57 Phoenix Business Websites. Here Is What the Scan Found.

We scanned 57 Phoenix business websites with DeepAudit, the browser-based auditor we built and use on client work.

Where they came from: we queried the OpenStreetMap Overpass API for businesses within a 25-kilometer radius of the Phoenix city center that publish a website, dropped national chains and aggregators, deduplicated the domains, and scanned the surviving homepages. Sixty candidates, 57 complete audits. This is a purposive sample, not a census of Phoenix and not a random one. Every percentage counts hard failures only.

The median was 78 out of 100. The mean was 71.9, which is the more conservative number and the one worth remembering. No site cracked 90. Fifteen of the 57 came in under 70, and seven scored below 40, which is DeepAudit's critical tier and not an industry definition of anything.

That gap between the median and the mean is the story. A 78 median says the typical Phoenix site in this sample is in reasonable shape. The mean sits almost seven points lower because a short tail of very weak sites pulls it down. Both numbers are true, and neither one describes "Phoenix."

51 of the 57 pages triggered an accessibility failure

Accessibility was the weakest category in the sample, averaging 59.8 out of 100, and 51 of the 57 pages triggered at least one accessibility failure. Fourteen failed the visible-focus check specifically.

A visible focus indicator is what tells someone tabbing through a page which link, button, or field will respond next. Remove it, or make it invisible against the design, and using the page without a mouse gets much harder.

This is an automated check, not a full keyboard test and not a screen-reader audit. It tells you where manual testing should start, and nothing more. It also does not tell you what caused the failure. A removed browser outline, a low-contrast custom focus style, and a component nobody ever tabbed through all produce the same finding, and each is a decision rather than a property of the platform.

llms.txt was absent on 43, and that is not an AI-visibility score

Forty-three of the 57 sites had no llms.txt file, the most common single finding in the set.

That is file presence and nothing more. It does not mean these businesses are invisible to ChatGPT, Claude, or Perplexity. AI systems draw on crawlable page content, search indexes, maps, reviews, directories, and press coverage, none of which require this file. llms.txt is a proposed convention, not an established protocol, and our later research found most of these files are emitted automatically by a platform or plugin rather than written deliberately.

We did not ask a single assistant to recommend a Phoenix business, so this post cannot tell you who gets named.

The rest of the findings, kept separate

They do not mean the same thing, so they should not be one line in a paragraph.

• HTML validation failed: 39 of 57. The markup did not pass the W3C validator. Browsers are forgiving and most of these pages render fine anyway, so treat this as cleanup, not an emergency. It matters most where invalid markup breaks structured data or accessibility, which is worth checking case by case.
• No HSTS header: 35 of 57. A browser-security finding. It belongs in the security section, not next to the SEO checks, and it has nothing to do with rankings.
• Under 300 words: 26 of 57. A prompt to read the page, not proof it cannot rank. A short page can do its job. A long one can still say nothing.
• Primary heading failed: 22 of 57. Our rule fails a page for having no H1 or more than one, and multiple H1s are not automatically a defect, so this count is stricter than it should be. We are fixing the rule.
• No JSON-LD structured data: 21 of 57. Organization or LocalBusiness markup makes the business details explicit rather than inferred. It should match the visible page and the Google Business Profile, and it does not guarantee rankings.

A citywide score is not a local-search strategy

Phoenix is not one local market, and it is less one market than almost any city we have scanned. A Scottsdale medspa, a Tempe print shop, a Mesa HVAC contractor, and a Chandler accountant are not competing in the same result. Google's local rankings turn mainly on relevance, distance, and prominence, which means the real comparison is query by query and neighborhood by neighborhood.

A citywide median is descriptive. It is not strategic. It cannot tell an individual business who it actually competes with, and in a metro this large the average of 57 homepages says even less about any one of them than it would in a smaller town.

What this sample tells us, and what it does not

Across these 57 Phoenix sites, accessibility, security, structured-data, heading, and content rules fired repeatedly, while the local-SEO category was the strongest in the set. Fixing the real findings produces a clearer, safer, more usable website.

What the scan does not establish: which businesses rank, who an AI assistant names, which sites will win over the next year, or that the bar is "better than the site next door." We collected no ranking, Business Profile, review, backlink, proximity, or lead data. The median tells you where the middle of this sample sits. The seven sites in the critical tier are the ones with the most to fix, and a citywide number will never point at them.

Check your own site

Run the free audit on your own site. No signup, no credit card, and the report is yours to keep.

Then verify it. When the report calls a page thin, read the page. When it flags focus visibility, put your mouse down and tab through the site yourself. When it finds no structured data, compare your visible business details against your Google Business Profile before writing any markup.

The score is a summary. The work starts underneath it.

If you would rather we read it with you, book a free 15-minute teardown and we will walk through what it found, live, no pitch.