News4 min read
We checked 152 business software sites for AI readiness. Seven earned an A, and one in eight turned the assistants away.
Buyers increasingly ask an AI assistant to shortlist software before they visit a single website. We ran the same mechanical check on every product we list to see which vendors an assistant can find, read and act on. Most are halfway there. A few have shut the door.
If you ask ChatGPT, Claude or Perplexity which accounting package suits a ten-person firm, the answer depends on what the assistant can read. A vendor whose plans and prices sit in plain page text gets quoted accurately. A vendor whose site needs a browser to show anything, or refuses automated visitors altogether, gets described from whatever third parties have written about it, or gets left out.
In October we checked 152 sites against the AgentReady 1.0 standard: the 149 distinct domains behind the products listed on Saaskly, plus three sites checked through our public tool. We could read 136 of them. Their average score was 66 out of 100 and the median 68: two earned an A+, five an A, 54 a B, 65 a C and 10 a D. The other 16 turned our crawler away, and the league table lists them as blocked, with no score.
Who came top
VoIPstudio and Hostinger Website Builder both scored 100. SparkPost (now part of Bird) and RunPod scored 94, monday CRM 93, Attio 92 and SendGrid (scanned at twilio.com) 88. Those seven are the only A grades in the table.
A disclosure belongs here: VoIPstudio is a Saaskly marketing partner, and our sister brand Fractional Teams is VoIPstudio's agency partner. The check is mechanical, the same engine runs the same tests on every domain, and every result page shows the evidence for each test.
Size is no guide. Salesforce scored 73, Amazon EC2 66, Adobe Creative Cloud 57, Microsoft Dynamics 365 Sales 48 and Canva 31. Attio and RunPod, both far smaller companies, are in the top six.
One in eight turned the assistants away
The check asks each homepage for a page while identifying as each of five fetchers used by ChatGPT, Claude and Perplexity. On 18 of the 150 sites with a full report, all five requests were refused or went unanswered (a 403, a 429, a 503 or a timeout), even though the site's own robots.txt said those assistants were welcome. A further 12 sites refused at least one of them. That is one site in five whose network layer contradicts its published policy.
Eight of the 18 let our own crawler in and then refused, or failed to answer, the assistants' names: Salesforce, Xero, QuickBooks Online, Adobe, WordPress.com, LastPass, Trend Micro and 3CX. The other ten refused us as well.
One caveat. Our requests carry the assistants' names but come from our scanner, not from the AI companies' own networks. A vendor that admits those assistants only from their published addresses would refuse our test and still serve the real thing. Each result page shows exactly what came back, so a vendor can see which case applies.
Sixteen sites answered our crawler itself with a block or a challenge page: 8x8, Avast, Buffer, Enpass, FreePBX, Freshsales, GoDaddy, Mitel, Namecheap, NordVPN, Sage, Screaming Frog, Similarweb, Virtuozzo, Vultr and Windscribe. We list them as blocked and give them no score, because what we received was the wall and not the site behind it. An assistant arriving the same way would see the same thing.
What most vendors are missing
Reading a site is the easy part and most vendors pass it. Among the sites we could read, the average was 82% on the checks for whether an agent can read the pages, 59% on whether it can find its way around, and only 34% on whether it can do anything useful once there.
The gaps that matter to a buyer are the plain ones:
- Prices. On a quarter of the sites we read (33 of 134) an assistant cannot read the plans and prices from the page. Another 16 show only part of them.
- Product facts. Only 18 sites publish their product's basic facts (what it is, what it costs, what it runs on) in the structured format assistants rely on.
- Documentation. On 81 sites the documentation cannot be read without running JavaScript, which most assistants do not do.
The newer conventions have barely landed. 62 sites publish an llms.txt file, the plain-text guide to a site that assistants look for. Five publish any kind of agent discovery file. Seven publish a machine-readable description of their API at a standard address.
How the categories compare
Email platforms are the best prepared, averaging 77, followed by website builders and GPU cloud providers on 72. These are products sold to developers, who have been asking for machine-readable documentation for years.
Cloud management platforms are the least prepared, averaging 53. VoIP has the widest spread in the table: one provider on 100, another on 34, and three that refused the crawler.
What this does not tell you
A readiness score has no effect on a product's Saaskly rating or rank, and the two often disagree. Namecheap and Vultr both win their categories in our reviews and both are listed as blocked here. Proton VPN, another category winner, scored 48. A product can be the right choice for your business and still be hard for an assistant to describe accurately. That is a reason to check what an assistant tells you against the vendor's own pricing page, not a reason to change your shortlist.
See the full table, or check a site
The full league table has a result page for every domain showing each test, what we found and the fix. Any site can be checked free with the AI Readiness Check. We repeat the round every quarter; the next is in January 2027.
Vendors who have fixed something can re-run the check themselves, and the table updates with the new result.
Corrected on 10 November 2026, the day of publication. The first version of this article said 25 sites refused all five assistant fetchers and named Wix and Squarespace among them. Seven of those results were false positives in our check: a normal page carrying a bot-protection script was read as a challenge page. The figure is 18, and the headline now says one in eight where it said one in six.
Researched and drafted with AI assistance; reviewed and approved by Tim Meredith. How we use AI
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