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Measurement & Data Studies

We Scored 19 Top SaaS Brands for AI Search Readiness. None Passed.

By Michael Patrick CortezPublished 2026-08-105 min read

Key takeaways

  • We scored 19 of the best-known SaaS brands for AI search readiness. The average was 44 out of 100. The single highest score was Zapier at 69, a C.
  • Not one site earned an A or a B. Five reached a C, and 14 landed a D or an F. The bar for AI readiness is on the floor across the board.
  • The weakest layer by far was agentic readiness. 11 of the 19 sites scored a flat zero, meaning nothing on the site is callable by an AI agent.
  • Content citability was the strongest shared layer (average 60), so the content is often fine. The gap is whether engines and agents can discover, parse, and act on it.
  • If household-name brands are failing this, a focused mid-market site can outscore them in a few weeks. The opportunity is wide open right now.

Everyone agrees AI search is changing how people find things. Almost no one has measured whether the sites we all use are actually ready for it. So we did.

We ran 19 of the best-known SaaS and web brands through Citerank's AI Visibility Score and recorded how each one performed. These are companies with large teams, real budgets, and mature marketing. If anyone is ready for AI search, it should be them. The results say otherwise, and the gap they reveal is the opportunity.

The headline: nobody passed

Across 19 brands, the average AI readiness score was 44 out of 100. The median was 45. The single highest score was Zapier at 69, a C. Not one site earned an A or a B. Five reached a C, seven landed a D, and seven scored an F.

Read that again. The most recognizable names in software, and the best of them is a C.

This is the same pattern we see on almost every site we test, but it is more striking when the names are this familiar. Being famous does not make a site machine-readable. The engines do not grade on reputation. They grade on whether they can discover, parse, trust, and act on what is in front of them.

The full data

Here is every site, its overall score and grade, and its five layer scores. Layers are scored 0 to 100.

Site Score Grade Schema Discoverability Agentic Citability Brand
Zapier 69 C 90 50 75 71 57
Webflow 64 C 90 42 0 71 86
Asana 56 C 90 42 0 57 57
Intercom 56 C 90 42 40 57 43
Mailchimp 55 C 60 77 0 71 29
WordPress.org 54 D 90 42 30 57 43
Stripe 52 D 90 27 0 57 57
HubSpot 51 D 90 39 0 57 71
Semrush 48 D 20 42 65 71 57
Calendly 45 D 75 27 35 43 43
Salesforce 45 D 75 33 0 71 14
Typeform 42 D 20 68 0 43 57
Shopify 38 F 20 50 0 57 43
Ahrefs 33 F 20 15 35 57 57
GitHub 31 F 0 27 35 71 43
Slack 30 F 0 42 35 57 29
Figma 29 F 20 15 0 57 43
Notion 24 F 0 24 0 57 29
Airtable 22 F 0 15 0 57 29

The agentic web is almost entirely unclaimed

The weakest layer by a wide margin was agentic readiness, which measures whether a site exposes anything an AI agent can call rather than pages built only for human clicking. The average was 18 out of 100. Eleven of the 19 sites scored a flat zero, and only two, Zapier and Semrush, scored above 50.

This is the most important number in the study. AI agents are moving from answering questions to taking actions, and a zero here means an agent can read your marketing page but cannot do anything with your product. For most of these brands there is nothing to call at all. Whoever builds for this first in their category will own it, because right now the field is empty. We wrote the full playbook for this in our guide to agent-ready websites and MCP.

The content is usually fine. The plumbing is not.

Content citability was the strongest shared layer, averaging 60. That matters, because it means the writing itself is often good enough to be quoted. The problem sits upstream of the content.

Discoverability averaged just 38. Schema and entity clarity swung wildly, from a clean 90 down to a zero, with several major brands including Notion, Airtable, GitHub, and Slack scoring zero on schema. When schema is missing, the engine has to guess what your page is and who you are, and guessing is where citations get lost. This is the same discoverability gap we described in the complete GEO guide: the answer is on the page, but the engine cannot cleanly get to it.

The takeaway is encouraging if you are behind. You may not have a content problem. You may have a parsing and discovery problem, and those are faster to fix.

The site that blocked us entirely

One brand, Canva, hard-blocked our crawler and returned nothing, so we left it out of the averages. That is worth calling out on its own. If a site blocks a straightforward crawler, it is very likely blocking AI crawlers too, which means it cannot be read or cited no matter how good the content is. Blocking bots you do not want is reasonable. Accidentally blocking the engines that decide whether you appear in AI answers is not. It is worth checking exactly what your robots rules allow, which we cover in the context of why sites do not get cited.

What this means for you

If brands this large are averaging a 44, the bar in your market is almost certainly just as low. That is good news. You are not trying to out-resource Stripe or Salesforce. You are trying to be more machine-readable than competitors who have done nothing, and most of them have done nothing.

A focused plan gets you ahead quickly:

  1. Fix discoverability first. Make sure your real content is in the raw HTML and nothing important is blocked. This was the most common ceiling in the data.
  2. Add clean schema. Several major brands scored zero here. Correct Organization, Article, and FAQ markup is one of the fastest wins available.
  3. Write for extraction. Your content is probably already decent. Put direct two to three sentence answers under question-style headings so engines can lift them.
  4. Claim the agentic layer. Almost no one has. Even a small step here puts you ahead of household names.

How to see where you stand

The 19 scores here came from the same free tool you can run on your own site. Enter your domain in the AI Visibility Score and you will see your overall grade plus which of the five layers is holding you back, in a few seconds and with no login. Most sites, including the famous ones, discover they have far more room than they expected. The ones that act on it now are competing in a nearly empty field.

See how AI search sees your site

Get your free AI Visibility Score in seconds, no signup required.

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Frequently asked questions

What is an AI readiness or AI visibility score?
It is a measure of how ready a website is to be read, trusted, and cited by generative engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews. Our AI Visibility Score grades five layers: schema and entity clarity, discoverability, agentic protocol support, content citability, and brand presence, then rolls them into a single 0 to 100 score and a letter grade.
How did you run this study?
We submitted 19 well-known SaaS and web brands to Citerank's free AI Visibility Score on 2026-08-10 and recorded the overall score, letter grade, and the five underlying layer scores for each. The tool scores from what is in the live HTML, so it sees roughly what an AI crawler sees. One site, Canva, hard-blocked our crawler and returned zeros, so we excluded it from the averages and discuss it separately.
Why did no brand score an A or B?
The scoring rewards sites that AI engines can cleanly discover, parse, trust, and act on across all five layers. Most brands are strong on one or two layers and weak on the rest, especially discoverability and agentic readiness, so the combined score lands in C, D, or F territory. Being famous does not make a site machine-readable.
What is the agentic protocol layer, and why did most sites score zero?
It measures whether a site exposes anything an AI agent can call, such as a Model Context Protocol server or machine-readable actions, rather than pages built only for human clicking. 11 of 19 sites scored zero because they offer nothing agent-callable at all. The agentic web is still almost entirely unclaimed, which makes it the fastest place to differentiate.
If big brands are failing, does that mean my smaller site can outrank them in AI?
Often yes. AI engines reward the source that answers the query most cleanly and is easiest to parse and trust, not the biggest brand. A focused site that fixes discoverability, adds clean schema, and writes citable passages can outscore a household name for a specific query in a matter of weeks.
How can I check my own AI readiness score?
Run your domain through the free AI Visibility Score. It returns your overall grade and shows which of the five layers is holding you back, with no login required. From there you can see the specific fixes that move the score.
Michael Patrick Cortez
Michael Patrick Cortez
SEO & AI Search Strategist · Founder of Citerank

Michael Patrick Cortez leads SEO and AI search work at Webfor in Vancouver, WA, and is the founder of Citerank. He writes and speaks about generative engine optimization, getting cited by AI, and building agent-ready websites. Read more of his work at michaelpatrickcortez.com.

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