Who Actually Advertises in Stock Trading on ChatGPT? Not the Brokerages.
As of July 2026, BestMoney holds 42.75% of ChatGPT ad placements in Stock Trading and Brokerages, a B2B data vendor ranks #4, and the institutional prompt cluster is wide open.
As of July 2026, BestMoney holds 42.75% of ChatGPT ad placements in Stock Trading and Brokerages (118 of 276), more than Robinhood and Fidelity combined. Only two of the top three are real brokerages, and the institutional half of the prompt pool is almost entirely uncontested.
BestMoney's 118 placements in Stock Trading and Brokerages (42.75% share) exceed Robinhood (42) plus Fidelity (30) combined, so a content site, not a trading platform, owns the comparison shelf on ChatGPT.
- BestMoney43%
- Everyone else (46 advertisers)27%
- Robinhood15%
- Fidelity Investments11%
- FINTRX4%
Who's buying the Stock Trading surface on ChatGPT
The intuitive winners of a stock-trading ad surface are the trading platforms themselves. The actual leader is BestMoney, a comparison publisher, and the number four slot belongs to FINTRX, a B2B broker-dealer intelligence provider, ahead of three consumer fintechs most retail investors would recognize on sight. Intent density, not category fit, decides who wins the auction here, and the top 10 advertisers take roughly 80% of every placement ChatGPT shows for this category. That is the cost of showing up late to a captured surface.
Two very different audiences are searching the same surface
The same semantic cluster is being bought by competitors that share no category, proof that intent, not identity, is the unit of trade on this surface.
Robinhood is the only major brokerage running an explicitly tagged competitor-conquest campaign on this surface, buying around prompts like 'Best Robinhood alternative for crypto and stocks' and 'Best app to trade stocks and crypto in one place.' The campaign structure itself is the tell: it is built to intercept users who have already declared switching intent, not to recruit cold traffic.
Robinhood's campaign is tagged NFA_COMPETITOR, a conquest-coded buy targeting switching prompts. Carta runs a twin strategy on the same surface, a brand-defense campaign and a competitor-conquest buy running in parallel. Almost no advertiser is bidding on the institutional half of the prompt pool, which is the structural reason a B2B data provider outranks consumer fintechs that have spent years building retail brand equity.
The pattern across the few advertisers that have bothered to show up is the same: code the campaign by intent, not by product, and buy the specific prompt instead of the broad category.
| Advertiser | Campaign tag | Type |
|---|---|---|
| Robinhood | PFM_CHATGPT_ACQ_BAU_BROKERAGE_ALL_ALL_US_NFA_COMPETITOR | Competitor conquest |
| Carta | 20250616-amer-carta-brand-defense | Brand defense |
| Carta | 20260616-amer-investors-competitor | Competitor conquest |
| oneleet.com | GF_PR_Traffic_Competitors | Competitor conquest (PR) |
| Yubico | Brand_1toMany-OpenAI-Partnership-ToFu_Engagement_NAM_V2.0 | Top-of-funnel, partnership |
| Tailor Brands Ltd | LLC_Reg | Category registration |
The captured campaigns split almost evenly between conquest and defense, with three of six advertisers running switching-prompt buys and the other three split between brand defense, top-of-funnel partnership, and category registration. For brokerages with any institutional or B2B offering, the practical read is that the broker-dealer settlement, strategy leakage, and pension risk management cluster is still cheap, because almost no broker-dealer-native specialist is buying it, and FINTRX's 11 placements are the proof.
Keep reading
We probe ChatGPT with realistic consumer prompts and capture the sponsored ad cards it returns — every creative, the triggering prompt, and the advertiser. Figures reflect our captured sample, not OpenAI's internal data. Explore the live ad library and market intelligence.