GPTTicker is a database of S&P 500 companies' AI mention counts from SEC filings and earnings calls, with AI-wash scores separating real AI investment from hype. On GPTTicker, you'll find the best AI ETF research grounded in 10-K filings: AI mention counts, AI washing scores, and AI ETF holdings breakdowns explained in plain English.
I'm an independent developer based in Austin, Texas. I built GPTTicker because every AI ETF prospectus promises pure artificial intelligence exposure, and the only way to check the claim is to read the filings. So I counted: 988 10-K filings across 499 S&P 500 companies, every AI mention, paired with R&D spending. Everything here is backed by a real, searchable dataset, not opinions.
The heart of the site is the database: 988 10-K filings you can search yourself, with AI-wash scores for each company. Around it, I publish practical guides on AI washing stocks, AI ETF expense ratios, and QQQ vs AIQ vs BOTZ. I'm also building TrueAI: an ETF screener that ranks AI ETFs by their holdings' real AI substance. Free AI-substance scorecard of any AI ETF's top 10 holdings; $15/mo unlocks full rankings, historical AI-wash scores, and spike alerts.
Questions, corrections, or a dataset you'd like covered? Contact me, I read every message.
GPTTicker