What an AI agent reads on Chear Physical Therapy
An assistant's crawler fetches the page once, without running JavaScript, and reads the text, the structured data and the links. Below is what it gets from chearla.com, taken from the copy the scanner kept.
3,706
characters of text without JavaScript
none
structured data for the business
1
of 3 AI crawlers turned away at the edge (GPTBot)
The words an agent gets
Title: Chearla — The clarity layer for how your team works · language en. First 1,800 of 3,706 characters:
Chearla — The clarity layer for how your team works Chearla Why Chearla Product How it works Pricing Start free AI knowledge layer Your team's knowledge, finally clear. Chearla sits across your docs, chats, and tools, and turns scattered answers into one clean, sourced response. No more digging through five apps to find what someone already wrote down. Start free See how it works 4.2M+questions answered 11 secaverage answer time 60+tools connected SCATTERED INPUTCHEARLA OUTPUT re: onboarding flow.. see thread from march, also ping @dev-ops, old doc might be outdated tho → New hires get access on day one via the IT portal.Source: HR Wiki, updated Jun 2026 idk check the deck from Q2 or maybe ask sarah, i think pricing changed?? → Current plan pricing starts at $29/seat, billed annually.Source: Pricing sheet, live someone posted the API rate limit somewhere in slack lol good luck finding it → API rate limit is 600 requests/min on the Growth plan.Source: Dev docs The problem The answer already exists. Nobody can find it. Company knowledge doesn't disappear, it just scatters — across chat threads, old docs, and people's heads. Chearla is built to find it before someone has to ask twice. 01 Answers live in silos Docs, chat, tickets, and wikis all hold half the picture. No single place gives you the whole answer. 02 Knowledge goes stale The doc someone finds is often the outdated one. Without sourcing, no one can tell what's still true. 03 The same question, twice New hires and busy teammates ask the same things repeatedly, because the answer was never easy to surface. Product One layer, every source. Chearla connects to the tools you already use and reads across all of them, so answers come back complete, not partial. Instant answers Ask in plain language and get one clear re
What it can say about the business
| A business type in JSON-LD | no |
| Name | no |
| Telephone | no |
| Address | no |
| Opening hours | no |
| Menu or price list | nothing |
| Cuisine in structured data | no |
| JSON-LD blocks | 0 |
The links it would act on
No booking or ordering link found. An agent has nothing to act on.
Everything here comes from fetching the homepage once as a crawler. The report turns it into a score and a list of fixes, with code to paste.