I work with many companies that spend a tremendous amount of effort on acquiring traffic from the major search engines. This requires them to monitor and tune both their ad spend and their search engine marketing. Typically they are trying to promote their products on to active buyers, the marketeer’s dream. However, acquiring traffic in a competitive market like aftermarket auto parts for example, is expensive. It’s interesting that companies will go through this effort but still not have their own technology / site but fail or fail to optimize an Insight Engine that would recommend the part or product that the end-user.
Last year, my company MC+A built a Query Intent Detection service which we integrated in to make search engines. This service, powered by GraphQL, intercepted the search that you were asking like a chatbot would and used machine learning to tune the query that it ran. This allows you to do very powerful things with your search boxes like providing answers to FAQ and the exact product that your customer is looking for.
How more accurate would your search results be if your system knew how to filter on the results and boost prior to existing the query. What’s beautiful about this technology is that it is pluggable and useable in so many ways like detecting a particular report (Think “last months TPS report without Cover Letter”) or searching for a particular user in your People directory (Think “who worked at Kraft“).
You shouldn’t have a chatbot if you can’t answer questions
This means it can be injected into existing query pipelines and functions so that all that changes is you get better relevant results. This technology is pluggable so building contextual assistants & chatbots that really help customers is hard. This technology provides infrastructure & tools necessary for high-performing, resilient, proprietary contextual assistants that work as
Seriously though, enough with the chatbots that book appointments
Digital assistants can create a compelling experience but if they are not effective or simply are a means to schedule an appointment they create a selfish focused experience. If your platform can answer questions then you can weave those into a Dialog and then you can create that experience and have Cognitive Search.