There’s a LOT of “Noise” out there today, about how “AI can do this” and how “AI can do that”, and how the various “GPT” Platforms are “The best!”.
Lots of people are talking about how AI is going to replace various jobs or how someone can simply type in a question or a prompt or write a command into a popular “GPT” platform, and have the results they need.
Let me throw my $0.02 in the ring, as it pertains to B2B Sales: One main differentiator about DatabookGPT is that we will map our responses to your specific Use Cases and your specific Win-Wires, along with your specific products and solutions, to that data, to provide a very specific GTM application, that address’s a customer’s: Strategic Priorities, Management Intent, and Financial Drivers.
And NOT ONLY THAT but DatabookGPT will also look at the entire competitive landscape of your High Value Target (HVT) and provide you with a holistic view of their self-named peers and their competitors. This is critical for B2B Sales.
Your other “GPT” providers can’t do that, especially when most of the data they’re accessing is outdated or stale. (Side note: That’s an important question to ask: When’s the last time your data was refreshed and how often?). This is the key differentiator, especially when dealing with B2B Enterprise Sales.
I use DatabookGPT when prepping for an Executive Meeting or briefing, asking various prompts that will outline a particular account. i.e.
- Tell me about [CUSTOMER]
- What are the results of the latest earnings call for (CUSTOMER)
- What are some business challenges for [CUSTOMER]
- What is the SG&A for [CUSTOMER] and how do they compare to their self-named peers
- Write me a compelling email for the CFO of [CUSTOMER]
When using AI or any type of “GPT” for B2B Sales, these are all mandatory things to consider.
What are your thoughts and some differentiators you consider when using AI?