A general model is good at reading one page once. This is what changes when a team runs pursuit after pursuit and has to defend the answer internally.
| Pasting into a chatbot | Boost Win Rate | |
|---|---|---|
| What it reads | Whatever you paste, which is usually the homepage. | Filings, earnings calls, news, and both websites, gathered the same way for every deal. |
| The same answer twice | Ask again tomorrow and the emphasis moves. Two teammates get two different answers. | A fixed method computes the score. Same inputs, same result, for everyone. |
| Evidence | Confident prose. Ask where a claim came from and you get a plausible reconstruction. | Every claim carries a verbatim quote and its source. Thin evidence is marked as insufficient, not papered over. |
| Comparing pursuits | Ten chat threads that each went somewhere different. Nothing lines up. | Every deal produces the same record, so prospects and competitors become comparable. |
| Your losses | Every conversation starts from zero. | Confirmed postmortems stay in your workspace, and every new deal gets checked against them. |
| Defending it internally | A paragraph you have to vouch for yourself. | A sourced matrix and a packet your team can inspect line by line. |
The honest limit: for one quick read of one page, a chatbot is faster and free. This earns its place when the same team competes for deal after deal and needs the reads to be consistent, sourced, and comparable.