What is a “Sales LLM?”
The fact that this question is in play is a difficult reality to face for the good people of Jasper, Gong, and friends. While your typical '“do-all” sales AI tool is diving Scrooge McDuck style into their piles of gold, others have quietly carved out a specialized niche for LLMs that speak specifically to sales teams’ unique needs.
All of this came from a simple question: if a large language model (LLM) ONLY existed for sales teams, how might that shape its growth & development?
What if it were solely focused on optimizing a sales process?
Would the “web search” function matter as much as the “file upload” experience?
Would the model be trained to interpret the acronym “AE” as “account executive?” Or would it default to advice on your American Eagle shopping intentions?
These are the questions asked when sales-focused LLMs were created.
Why Are People Seeking Alternatives to Chat GPT?
“Well Chat GPT alternatives aren’t hard to come by! Just look at Claude. Look at Perplexity. At Gemini!”
Let me answer this very clearly: Chat GPT may have general knowledge alternatives, but exactly 0 have proven themselves industry specialists. Here at Ask-Dwight, we believe that’s the future.
The future is looking at not only a sales team AI, but a B2B sales team AI. A B2C sales team AI. And I don’t mean general AI with 8 million bells & whistles (shoutout to the players at the intro to this article!). I mean freaking LLM specialists.
People who use Chat GPT are looking to save time. They’re looking for uniquely tailored responses to their situations.
So you tell me: what’s the best way to provide that?
You get specialized. You get specific with your training, and you tailor your LLM’s learning using responses from the masters of that industry.
When we did that at Ask-Dwight, we got way further along in the time saving for sales teams. Forget hours, we were focused on saving time down to the minute… the second!
That’s how salespeople operate. But when they’re focused on serving the “everyman,” Chat GPT doesn’t have a prayer of serving people at that level.
What Do Specialized Large Language Models Do Differently than Custom GPTs?
“If you want specialization, just use a Custom GPT!”
Now to be fair, this is the closest we will get to Chat GPT serving salespeople correctly. But Custom GPTs fail in a few key ways:
While they’re providing tailored output, the entire experience should be tailored… not just the conversation
Custom GPTs still require significant refinement from sales teams, which may not be intuitive. Would you trust 22 year old Braxton with writing your custom GPT? What about 65 year old Henry?
Custom GPTs still don’t impact the overall direction of the LLM at large. Your Custom GPT won’t help Chat GPT make decisions about what features to add next.
The vision for specialized LLMs does all of these things. It makes the sales process not just easier, but absolutely natural. Collaborating with your LLM should be like talking to a sales associate, not a robot yes-man.
Why Not Use Established Sales AI Tools?
There’s no doubt that well-known sales AI tools own the integration space. You can use their internal LLM to source and relay your own data.
But those integrations can break, the LLM may be hard to find, and (the biggest offender) often the tool simply leans on the trajectory of Chat GPT to decide how the LLM will grow in the space.
If you need a quick data point here or there, using these LLMs is fine of course. But a real partner in sales should be something more.
Now here’s the homer take: the best sales LLM is Ask-Dwight, hands down.
It tailors output to your industry, and acts as a true partner in sales. You can replace Chat GPT with it or simply add Dwight to your tool belt.
Join the transition to industry-customized LLMs today, and say hello to your new best salesman: Dwight.
LLMs For Salespeople: Turn Your AI Into An Industry Specialist
We all love a good Chat GPT, a Claude, a Gemini and, of course, the sheer MAGIC of what they’ve created. But they’ve stopped well short of the finish line. Large Language Models (“LLMs”), like other artificial intelligence (AI), SHOULD be specialized.
Not only should they be specialized, they should be uniquely GIFTED to support those specialized fields. It’s not enough to slap together a Custom GPT or Claude project. LLMs should be designed for an industry. Shaped by it over time.
We all love a good Chat GPT, a Claude, a Gemini and, of course, the sheer MAGIC of what they’ve created. But they’ve stopped well short of the finish line. Large Language Models (“LLMs”), like other artificial intelligence (AI), SHOULD be specialized.
Not only should they be specialized, they should be uniquely GIFTED to support those specialized fields. It’s not enough to slap together a Custom GPT or Claude project. LLMs should be designed for an industry. Shaped by it over time.
Without that level of personalization, the only “shape” you’ll be in is “square.” Only dad joke in here, I promise.
How Do Common Large Language Models Specialize?
Now that I’ve said that, let me backtrack before I tell you what we’re doing with Ask-Dwight.
If you want to customize your solution, start with a custom GPT. For consistency’s sake, I’ll use Chat GPT’s vernacular for this since they’re the clear frontrunners for this technology.
With a pro plan on almost any LLM, you can create customized “instructions” for your GPT to follow. For instance, you could:
Design a curated outfit for the day using only your wardrobe.
Create a fully personalized workout plan to fit your diet and your exercise schedule.
Schedule watering & other care for your interior or exterior plants around the house.
Even in business, there’s countless ways to customize large language models to work for your unique needs. Your team could use custom GPTs to:
Rewrite sales email drafts using your language, and optimizing for a specific tone or purpose.
Run a custom sales playbook through your LLM, to seamlessly apply vetted persuasion tactics that follow modern best practices to your communication.
Analyze and forecast pathways to conversion for your prospects at scale and within limited time frames.
These are wide applications within a normal Custom GPT experience, although Ask-Dwight and a very few others are actually exploring the limits of these ideas to the fullest.
The reality is that very few AI companies have EXCELLED in these spaces, and when they have they’ve been unable to package and release it to the public in a way that sticks.
How Does Normal AI Specialize Better Than LLMs?
While the world of LLMs seems frozen under the spell of 5-10 big players, then a half a million smaller players, your non-LLM artificial intelligence has done an incredible job specializing!
Look at companies like Gong and Jasper, who are absolutely crushing the specialized world of AI. You have unlimited examples of specializing just from normal AI, which you can (and should) take advantage of TODAY:
Transcribe calls automatically and summarize key points.
Personalize your interactions with prospects given context within your CRM.
Assess sales risk to determine if your pipeline prospects are at flight risk.
Under normal conditions, AI is unbelievably agile and able to specialize seamlessly to an industry- so what’s the missing piece?
It’s the dark, underbelly of the rock nobody wants to look under. It’s the fear of the unknown with LLMs, and how to best leverage them.
The 10 weekly calls with the Product teams, ending in a “let’s circle back next week,” and the reason these larger companies can hide behind a version 25329 release while discounting sales enablement through LLMs as “vibe coding.”
Customized LLMs are the brand-new, hot pink convertible parked in front of the school.
Get in losers. We’re customizing for our people.