Study
We asked AI about a YC batch
176 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 176
10
never mentioned once, by any model
44
median score (average 39)
Where the batch sits
157 of the 176 sit below 60, and 38 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
88%
mentions
Excellent
79%
mentions
Good Visibility
71%
mentions
Good Visibility
67%
mentions
Good Visibility
71%
mentions
Good Visibility
71%
mentions
Good Visibility
67%
mentions
Good Visibility
71%
mentions
Good Visibility
58%
mentions
Good Visibility
67%
mentions
Good Visibility
54%
mentions
Good Visibility
63%
mentions
Good Visibility
54%
mentions
Good Visibility
67%
mentions
Good Visibility
63%
mentions
Good Visibility
58%
mentions
Good Visibility
58%
mentions
Good Visibility
54%
mentions
Good Visibility
57%
mentions
Good Visibility
57%
mentions
Low Visibility
50%
mentions
Low Visibility
63%
mentions
Low Visibility
50%
mentions
Low Visibility
50%
mentions
Low Visibility
63%
mentions
Low Visibility
57%
mentions
Low Visibility
50%
mentions
Low Visibility
50%
mentions
Low Visibility
58%
mentions
Low Visibility
50%
mentions
Low Visibility
54%
mentions
Low Visibility
46%
mentions
Low Visibility
46%
mentions
Low Visibility
58%
mentions
Low Visibility
46%
mentions
Low Visibility
50%
mentions
Low Visibility
43%
mentions
Low Visibility
42%
mentions
Low Visibility
50%
mentions
Low Visibility
50%
mentions
Low Visibility
46%
mentions
Low Visibility
42%
mentions
Low Visibility
42%
mentions
Low Visibility
54%
mentions
Low Visibility
46%
mentions
Low Visibility
54%
mentions
Low Visibility
42%
mentions
Low Visibility
46%
mentions
Low Visibility
50%
mentions
Low Visibility
38%
mentions
Low Visibility
38%
mentions
Low Visibility
38%
mentions
Low Visibility
38%
mentions
Low Visibility
42%
mentions
Low Visibility
42%
mentions
Low Visibility
38%
mentions
Low Visibility
38%
mentions
Low Visibility
38%
mentions
Low Visibility
46%
mentions
Low Visibility
54%
mentions
Low Visibility
42%
mentions
Low Visibility
42%
mentions
Low Visibility
42%
mentions
Low Visibility
46%
mentions
Low Visibility
46%
mentions
Low Visibility
42%
mentions
Low Visibility
38%
mentions
Low Visibility
39%
mentions
Low Visibility
38%
mentions
Low Visibility
38%
mentions
Low Visibility
42%
mentions
Low Visibility
38%
mentions
Low Visibility
38%
mentions
Low Visibility
33%
mentions
Low Visibility
42%
mentions
Low Visibility
42%
mentions
Low Visibility
33%
mentions
Low Visibility
38%
mentions
Low Visibility
42%
mentions
Low Visibility
42%
mentions
Low Visibility
33%
mentions
Low Visibility
33%
mentions
Low Visibility
46%
mentions
Low Visibility
38%
mentions
Low Visibility
33%
mentions
Low Visibility
38%
mentions
Low Visibility
47%
mentions
Low Visibility
42%
mentions
Low Visibility
33%
mentions
Low Visibility
38%
mentions
Low Visibility
33%
mentions
Low Visibility
38%
mentions
Low Visibility
42%
mentions
Low Visibility
38%
mentions
Low Visibility
29%
mentions
Low Visibility
29%
mentions
Low Visibility
38%
mentions
Low Visibility
29%
mentions
Low Visibility
42%
mentions
Low Visibility
33%
mentions
Low Visibility
29%
mentions
Low Visibility
42%
mentions
Low Visibility
33%
mentions
Low Visibility
33%
mentions
Low Visibility
33%
mentions
Low Visibility
38%
mentions
Low Visibility
33%
mentions
Low Visibility
38%
mentions
Low Visibility
25%
mentions
Low Visibility
33%
mentions
Low Visibility
29%
mentions
Barely Visible
25%
mentions
Barely Visible
38%
mentions
Barely Visible
38%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
28%
mentions
Barely Visible
21%
mentions
Barely Visible
27%
mentions
Barely Visible
21%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
25%
mentions
Barely Visible
19%
mentions
Barely Visible
32%
mentions
Barely Visible
21%
mentions
Barely Visible
26%
mentions
Barely Visible
20%
mentions
Barely Visible
21%
mentions
Barely Visible
20%
mentions
Barely Visible
21%
mentions
Barely Visible
33%
mentions
Barely Visible
17%
mentions
Barely Visible
20%
mentions
Barely Visible
14%
mentions
Barely Visible
16%
mentions
Barely Visible
17%
mentions
Barely Visible
8%
mentions
Barely Visible
13%
mentions
Invisible
21%
mentions
Invisible
13%
mentions
Invisible
15%
mentions
Invisible
11%
mentions
Invisible
13%
mentions
Invisible
13%
mentions
Invisible
17%
mentions
Invisible
11%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
8%
mentions
Invisible
6%
mentions
Invisible
6%
mentions
Invisible
8%
mentions
Invisible
6%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
5%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
4%
mentions
Invisible
8%
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
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 April 2026 and June 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