Industries · Hotels · Philadelphia, PA
Hotels in Philadelphia: can AI read their websites? 55 tested
By Cloute · Published October 2, 2026
The short answer
Cloute requested 55 hotel pages in the Philadelphia, PA area in October 2026 as a plain automated visitor. 41 of them (74.5%) could not be read, well above the 63.9% measured across 2,280 hotel pages in 58 US metros. It matters for Philadelphia hotels because AI engines such as ChatGPT, Gemini and Perplexity name the places their sources describe, and a hotel's own page is the one source that speaks for the hotel itself.
of 55 Philadelphia hotel pages could not be read by a plain automated request
across all 2,280 US hotel pages tested
highest of the 44 metros ranked
What we found in Philadelphia
- 41 of 55 hotel pages (74.5%) could not be read by a plain automated request. Across all 2,280 hotel pages tested the figure is 63.9%.
- 26 answered with an HTTP 403 or 429 or a bot-challenge page, and 15 did not answer within 10 seconds.
- 46 of the 55 hotels are on a hotel brand's website and 9 are on their own. Brand websites account for most of the pages we could not read, in every metro.
- Of the 14 pages we could read, none sent a near-empty page without JavaScript. The median page carried about 11,994 characters of readable text.
| Philadelphia, PA | All metros | |
|---|---|---|
| Hotel pages tested | 55 | 2,280 |
| Could not be read by a plain automated request | 74.5% | 63.9% |
| Hotels on a brand website | 83.6% | 79.8% |
| Hotels on their own website | 16.4% | 20.2% |
Why it matters for hotel SEO in Philadelphia
A traveller who asks an AI engine where to stay in Philadelphia gets a few names. Across 64,441 AI answers about local businesses, engines named a business 84% of the time when they had opened one of its own pages while answering, and 16% when they had not. When an engine cannot open a hotel's own page, it answers from booking sites and review sites instead.
What a Philadelphia hotel should check
- Ask the AI engines the questions travellers ask, many times, from the cities guests travel from, and count which hotel they name.
- Check that parking, shuttle, pet policy, breakfast and distance to nearby landmarks are stated in plain text wherever the hotel is described.
- Check that those facts match on Google and on the booking sites.
- If the hotel is on a brand website, ask the brand how the site treats verified AI crawlers.
How this was measured
Each hotel's own page, as linked from its Google Maps listing, was requested once in October 2026, identifying as an ordinary web browser, without running JavaScript, from one network location. A page counts as not read if the answer was an HTTP 403 or 429, a bot-challenge page, or no answer within 10 seconds. We never sent a request pretending to be an AI crawler, so these figures describe how a site treats automated clients in general. A brand can let verified AI crawlers through while refusing other automated clients.
Read next
All 44 metros ranked The same study by hotel brand Hotel SEO in 2026 AI visibility for hotelsQuestions people ask
Can automated visitors read hotel websites in Philadelphia?
Some. 14 of the 55 Philadelphia hotel pages we tested answered a plain automated request normally, and 41 did not. We did not pretend to be an AI crawler, so this describes automated clients in general.
How do Philadelphia hotel websites compare with other cities?
Philadelphia ranks 8th of 44 metros for the share of hotel pages a plain automated request could not read: 74.5%, against 63.9% across all metros. The differences between cities mostly reflect which brands are in each sample.
Is there an AEO company for Philadelphia hotels?
Cloute works with hotels remotely from Utah. It measures how often ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews name each property against the hotels travellers compare it with, and its team does the work to move the result.
About Cloute. Cloute is an AI visibility company for local businesses. It measures how often ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews recommend a business against its local competitors, and works every month to move it to the top.