Use AI to predict user search intent and classify your queries into: informational, navigational and transactional.
Try it out on your own search queries. You can use Google Ads and/or Google Search Console to produce a CSV file with search keywords.
We trained on 4 different models and we have chosen the best one that produced up to 85% accuracy (+/-2%) for English search queries.
We currently support English datasets and we're working on Spanish & German. Please reach out if you're interested in other languages.
To help you analyze the user search intent predictions we've sent over email and put them to good use, we created a complementary Google Sheet. Use it to filter search queries based on specific thresholds.
We have a number of high-profile brands and enterprise clients, always seeking out the next opportunity to drive engagement. We’re working with MorphL and a client (20 million page-views per month multisite) to increase retention and loyalty with AI-targeted campaigns.
Noel Tock - Chief Growth Officer, Human Made
We've been working with MorphL during European Data Incubator to predict user intent based on search queries so the account marketing manager can create specific and more relevant ads generating higher conversion rates.
Elias Badenes - Big Data Architect at JOT Internet Media
PressOne is proud to partner with MorphL for Google DNI and offer a personalized experience on our site by using machine learning to identify user behaviors to maximize value for our readers.
Trevor Lothrop – Co-founder PressOne