In addition to searching our database of 280+ million contacts and accounts with traditional filters (e.g. keywords, checkboxes, and minimum and maximum fields), you can now search KnowledgeNet.ai for prospects using AI search. AI Search allows you to direct the search engine using everyday spoken language.
KnowledgeNet.ai currently has 20+ search filters representing 200+ industries. This gives users a million different possible search combinations to consider. Let's say you wanted to find the owners of companies located on the East Coast of the United States that repair cars.
Here's how you would have to build your search query using traditional filters:
Title: Owner
Location: Florida, Georgia, South Caroline, North Carolina, Virginia, Maryland, Delaware, etc.
Industry: Automotive
Keywords: Repair Cars, Auto Repair, Automotive repair, etc.
In order to make searching more intuitive and efficient for our users, we've added AI Searching to you can use natural language to just "tell KnowledgeNet.ai" what you're looking for, and it will build the filter for you.
Here is the same example reformatted as an AI Search query:
"Find me the owners of companies located in the US states on the east coast that repair cars."
There are two main benefits to using AI search:
It makes it easier to create searches for complex questions. You can instantly translate details that require ordering or ranking (e.g. "largest," "highest earning") or consider a specific point in time (e.g. a date or years of service) or place (e.g. "the Midwest") into comprehensive search filters.
AI helps us learn. We improve from every search query run.
Let's look at another sample query:
"Give me a list of project directors or higher at mid-size tech companies in California."
Humans have a pretty intuitive grasp of how to answer such questions, but it is quite a leap forward for computers. A question like this is really a series of questions that a computer needs to pick apart, analyze, then reassemble, ideally arriving at the questioner's correct intention. Every time we show that we aren't totally satisfied with our results by re-running searches with slightly varied language, the computer learns more about how humans ask questions and gets better at understanding our intentions.
So the more we run AI searches, the better the computer gets at figuring out more nuanced answers to more complex questions.
AI searching is how an SDR, who works for a new project management software developer, can ask KnowledgeNet.ai the sample query above and get a comprehensive list of Project Directors, Senior Project Directors, Vice Presidents, Senior Vice Presidents and above at tech companies in California with between 200 to 1000 employees.
Here are other examples of the kinds of complex questions you can use AI to ask KnowledgeNet.ai:
Find me CIOs of technology companies founded between 1995 - 2000.
Find me CEOs of MSPs in the top 5 cities in Florida.
Find me people that know how to fix an AS400.
The more we use AI searching, the better KnowledgeNet.ai gets at efficiently returning targeted intelligence that gives sales teams the precision and speed they need to boost connection rates and close more deals.
Related questions:
Can I save AI searches?
Can I save AI searches?
Yes. AI search intelligently builds your search filter for you. When you start with an AI search, you will see the automatically-populated filters above your search results. Save the search using the blue button just below the filters.
Can I edit an AI search?
Can I edit an AI search?
When you start with an AI search, you will see the automatically-populated filters above your search results.
Add additional filters by clicking the button "Add another Filter."
Tweak your current filters by clicking on each filter to edit, then clicking "Add to Filter."
Remove a filter by clicking the "x."
