I scanned 36 funded startups for AI visibility. A third failed a basic grade
I did not run a survey or write a hot take. I pulled 36 fast growing, mostly funded startups and ran each homepage through the same AI readability engine behind the free tools on this site. Of the 24 I could even read, a third scored below a B. Being funded and growing does not mean an AI answer engine can read your homepage.
How I ran this
I pulled a list of 36 startups, mostly B2B SaaS with a handful of funded consumer brands mixed in. I ran every homepage through my scanner, the same engine behind the Website Report Card on this site. It scores 0 to 100 on how easily an AI answer engine (ChatGPT, Perplexity, Google AI) can read the page and confidently recommend the business: structured data, FAQ schema, meta description, headings, title, Open Graph tags, robots access. This is not a guess about rankings. It is a deterministic read of what is actually sitting in the page's HTML, today.
24 of the 36 sites returned a page I could score. The other 12 did not respond to an automated read at all: HTTP 429 or 403, rate limited or blocked outright. Mostly the consumer brands. That is worth sitting with for a second. The same wall that stopped my scanner is the same kind of wall an AI crawler hits. If your site rate limits or blocks automated readers, you are not just blocking me, you may be invisible to the AI engines your future customers are already asking for recommendations.
The scores
Of the 24 sites I could score: median 81 out of 100, a B. Best score 100. Worst score 53. Grade breakdown: 11 A, 5 B, 8 C. Add it up and a third of these funded, growing companies scored below a B on the basic question of whether an AI can read and trust their homepage.
None of this is about design or brand. It is about whether the page hands an AI engine the plain facts it needs: what you do, who you are, what people ask you, and a straight answer to each.
What is actually missing
The gaps repeat across almost every site I scored:
- 88% had no FAQ structured data. This is the format AI answer engines quote from most directly. No FAQ schema means no quotable answers, even when the copy on the page technically covers the question.
- 42% had no structured data at all. No schema of any kind. The AI has to guess what the business even is from unstructured text.
- 50% had a weak or missing meta description. Half. This is the single line most likely to become the summary an AI engine repeats back to a user.
- 1 in 5 had no single clear H1. No unambiguous statement of what the page is about at the top of the document.
- Smaller shares had weak titles (13%) or missing Open Graph tags (13%). Nobody blocked AI crawlers outright in robots.txt (0%), which is the one thing everyone got right.
None of these are hard problems. A summary line, an FAQ block, a schema tag. They are the kind of fix that takes an afternoon, not a rebrand. Most founders have not looked, because the tools that check for this are new, and because the old SEO checklist never asked these questions.
Why this matters more every month
Buyers increasingly ask an AI "best tool for X" before they open Google. If the AI cannot read your site confidently, it does not leave your slot blank. It names a competitor instead. Clean structured data and an FAQ block are not decoration, they are the raw material an AI engine needs to recommend you by name instead of someone else.
I have seen this move fast in the other direction too. A dental clinic I worked with went from 81 to 92, a B to an A, in three days after fixing exactly this kind of gap: schema, FAQ answers, a clear summary. Same category of fix as what is missing across these 24 startups. The full before and after is in the dental clinic case study.
Check your own site
If you run a startup and have not looked at this, it takes two minutes. Run the free Website Report Card on your own homepage and see your score, grade, and the specific gaps, the same checks I ran on these 36. If you want the fuller version I use for client work, the tools behind Named run the same engine against your own domain, and if a page is missing schema, the schema generator builds a valid block from your own facts in a couple of minutes.
A third of funded, growing startups are giving AI answer engines nothing to quote. That is a third of the market leaving an easy gap open. It costs an afternoon to close it. Most people have not checked yet, which is exactly why checking now is worth it.
Frequently asked questions
How did you score these startup sites?
I ran each homepage through a deterministic engine, the same one behind the free Website Report Card on my site. It reads what is actually in the page's HTML and scores 0 to 100 on whether an AI answer engine can understand and recommend the business: structured data, FAQ schema, meta description, headings, title, Open Graph tags, and crawler access. It is a read of the live page, not a guess about rankings.
Does a good AI readability score mean ChatGPT will recommend me?
No. A good score removes the excuse: it means the engine can read and quote you if it chooses to. It does not force a citation. But the reverse is reliable. If an AI cannot read your site confidently, it fills your slot with a competitor it can read, so readability is the floor you have to clear before anything else helps.
Why did 12 of the 36 sites not get a score?
They returned HTTP 429 or 403 to an automated read, meaning they rate-limited or blocked the request outright. Mostly the consumer brands. That matters because the same wall that stopped my scanner is the kind of wall an AI crawler hits, so those sites may be invisible to AI engines even though they look fine to a human in a browser.
What is the single highest-impact fix for most startups?
An FAQ block with real answers written as text, backed by FAQPage schema. 88% of the sites I scored had none, and it is the format AI answer engines quote from most directly. After that, add basic structured data so the engine knows what the business is, and a clear meta description it can repeat as a summary.