The AI-Readiness Report 2026 - We Scanned Nearly 10,000 Websites - SiteSpeakAI
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7 Jul 2026
8 min read
Table of Contents
AI is now the layer between your website and the people looking for it. They ask ChatGPT, Perplexity or Google's AI to compare options, and increasingly they send an agent to do the clicking. So we asked a simple question with a lot riding on it: is the live web actually ready for that, or is it still built purely for human eyes?
To find out we ran two separate analyses using our own free scanner tools, then looked at the aggregate. One measures whether AI can answer the questions your buyers ask about your site. The other measures whether an AI agent can act on your site at all. We looked at close to 10,000 websites. The web is failing both tests, in two very different ways.
The headline numbers:
97% of sites expose zero tools an AI agent can use. The agentic web is a near-empty field.
AI scores 43 out of 100 answering "what does it cost", across more than 8,100 sites. Commercial facts are where it fails.
Sites cluster at the extremes. You are either legible to AI or invisible to it, with little in between.
What we measured
Two independent datasets, both from real websites submitted to our public tools between February and July 2026:
Answerability (9,846 unique websites, 52,158 graded answers). We trained a temporary AI assistant on each site, asked the questions a real buyer asks, and had a model grade every answer from 0 to 100 against what the site actually contained.
Agent-readiness (216 websites). We scored each site 0 to 100 across four weighted categories: content discoverability (30%), AI agent tools (30%), content quality (25%) and technical readiness (15%).
Scores are model-assigned and are not a certification. Where an average could be dragged down by sites our crawler could barely read, we say so and exclude them.
Finding 01
The agentic web does not exist yet
Across the agent-readiness scans, the average site scored 56 out of 100 overall, and only about 7% scored 75 or higher. But the overall number buries the real story, which lives entirely in one category.
AI agent tools weight 30%
Content discoverability weight 30%
77
Content quality weight 25%
65
Technical basics weight 15%
98
Average category score across the agent-readiness scans
The average score for AI agent tools was 5 out of 100 . That category checks whether a site exposes anything an AI agent can actually use: a WebMCP tool registration (the emerging in-browser standard, navigator.modelContext), a live MCP endpoint at a discoverable path, or documented API access. 97.4% of sites had none of it. An agent that lands on them can read the page, but it cannot book, look up an order, check stock, or take a single action.
Now the contrast: the same sites averaged 98 out of 100 on technical basics like HTTPS, mobile rendering and speed. The web has diligently finished the last decade's checklist and has not written a line of the next one.
CategoryAvg scoreSites failing (under 50)
AI agent tools 597.4%<br>Content quality6518.8%<br>Content discoverability7716.2%<br>Technical basics981.1%
Being agent-actionable is not yet a baseline, it is a near-empty field. The first sites in any category to let an agent complete a task, not just read about one, are the ones agents will route their users to.
Finding 02
AI can describe you, but not price you
The second dataset is bigger and hits closer to home. Across 9,846 sites and 52,158 graded answers, AI answered buyer questions at a mean of 67 out of 100 on sites it could read. Respectable, until you sort the questions by how well AI actually answered them.
Buyer questionAvg answer scoreSites tested
Cancellation or refund terms331,340<br>How do I subscribe / is there a newsletter383,300<br>How much does it cost 43 8,100+<br>What integrations or APIs does it support45375<br>How often is new content published46207<br>Main benefits versus other products512,768
The pattern is brutal and consistent. The questions AI answers worst are the commercial ones: what it costs (43 out of 100, across more than 8,100 sites), whether you can cancel or refund (33), and how to actually sign up (38). These are the exact facts a buyer needs to say yes.
And the questions it answered best were the soft ones: how it works, step by step (83), who it is for (82), and what makes it different (81).
Read those two lists together. AI has completely absorbed your marketing story and cannot reliably state your price, your refund policy, or how to buy. Ask ChatGPT "how much is it and can I get a refund," and for roughly 8 in 10 sites the honest answer is a...