Study
We asked AI about a YC batch
179 Y Combinator companies, put to ChatGPT, Claude and Gemini as the kind of question a buyer would actually ask. These are the companies that just raised from the most recognisable investor in tech. Here is how many of them the models have heard of.
1
scored above 80, out of 179
31
never mentioned once, by any model
10
median score (average 11)
Where the batch sits
177 of the 179 sit below 60, and 152 of those are effectively invisible. Getting funded does not put you in the training data. Neither does having a good product. The models repeat what the rest of the web says about you, and for most of this batch the rest of the web has not said anything yet.
The full ranking
96%
mentions
Excellent
63%
mentions
Good Visibility
67%
mentions
Low Visibility
67%
mentions
Low Visibility
42%
mentions
Low Visibility
38%
mentions
Low Visibility
42%
mentions
Low Visibility
38%
mentions
Barely Visible
38%
mentions
Barely Visible
29%
mentions
Barely Visible
29%
mentions
Barely Visible
29%
mentions
Barely Visible
29%
mentions
Barely Visible
21%
mentions
Barely Visible
29%
mentions
Barely Visible
21%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
17%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
21%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
17%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
0%
mentions
Invisible
How this was measured
Each company gets a set of prompts built from its own category and keywords, phrased the way somebody shopping for that product would ask. Not “tell me about Acme”, which any model will answer for anything. More like “what are the best tools for X”, where a company either comes up or it does not.
Every prompt goes to ChatGPT, Claude and Gemini. A separate model reads each answer and decides two things independently: whether the company was genuinely discussed, and whether the model disclaimed knowing it. A name appearing in a heading above “I’m not familiar with this company” does not count as a mention.
The score combines how often a company came up with where it appeared in the answer. This batch was scanned between August 2026 and September 2026. Scores move as models are retrained, so anything here is a snapshot rather than a permanent verdict. Any company can re-run its own scan from its page and get a current number.
Where would you land?
Scan your own domain against the same prompts and see whether the models can name you. Free, and it takes under two minutes.
Scan Your Domain