User Journey Mapping, Filter Clusters by Intent Mismatch, AI Writer Agent Stability Improvements..
Introducing cluster user journey mapping
We’ve introduced a smarter way to understand where each cluster sits in a customers decision journey.
The system now evaluates a cluster through the lens of the business context, the cluster itself, and the detected search intent. From there, it automatically assigns the keyword to one of three funnel stages: Top of Funnel(TOFU), Middle of Funnel (MOFU), or Bottom of Funnel(BOFU).
How It Works
TOFU: Keywords focused on learning, exploring, or identifying a problem. These users aren’t solution shopping yet.
MOFU: Keywords showing comparison, evaluation, or early buying interest. These often include pricing, reviews, best, alternatives, etc.
BOFU: Keywords showing clear action intent such as buy, sign up, order, book a demo, brand coupon, etc.
What’s the use case?
You can apply the filter to quickly find all clusters that match a specific user journey. For example, if you want to uncover top of funnel content opportunities, you can apply both the TOFU filter and the Informational search intent filter.
This is also available in the export column.
Filter Clusters by Intent Mismatch
You can now quickly filter clusters where the dominant intent either matches or does not match the top ranking URL.
What’s the use case?
With this new filter, you can quickly identify clusters with intent misalignment. This helps you create the right type of content that matches the user intent.
In this example you can see that exterior steel french doors cluster has an average ranking of 64 and the dominant intent is commercial however their current ranking top url is a transactional page.
- We improved our AI Writer Agents so their article introductions are more varied in word choice, paragraph length and topic exploration. We also removed the use of em and en dashes to make the output feel less like AI generated content.
Example opener below.
- We improved our Google Auto suggest scraping and AI Writer Agent stability capabilities.