Data Collection: The Details
Back in 2020, there was no tool that told estate agents where they were actually visible in search, not just whether their website had good domain authority or their listings appeared on portals, but whether a vendor in a specific postcode, searching for an agent to value their home, would find them at all. That gap is why this data exists.
Roar Digital is a leading marketing agency for estate agencies because our specialism is search — and increasingly, AI search. Building the infrastructure to track visibility at the postcode level, across thousands of searches every month, was a natural extension of the work we were already doing for our estate agency clients with branches in every corner of the UK. So we built a tool for the whole market, not just the agencies we work with.
How the searches actually run
The data is built on Google BigQuery and runs on a fully automated pipeline. Every month, real searches are executed across more than 4,000 UK locations, not modelled, not predicted, not extrapolated from historical patterns. Actual searches, returning actual results, recorded at the point they run.
Modelled visibility data tells you what a tool thinks you should be ranking for based on keyword data. This tells you what Google actually returned when someone searched for an estate agent in {location} this month.
Searches are run across a mix of postcodes, towns, cities and local areas. The query types mirror real search behaviour: near-me searches, location-specific searches, valuation intent queries, and, since late 2025, AI discovery queries that capture how vendors use Google’s AI Overviews to shortlist agents before visiting any website.
Four years of development
The first version of this tool was a data dashboard. Useful, but limited, it gave a snapshot of where an agency stood at a point in time, without the context to make it actionable. Over four years and with input from large and small estate agents alike, the data has evolved considerably.
Custom reports replaced the dashboard first. Rather than a generic view of the market, clients could access a report built around their own branches and their chosen competitors, delivered via a dedicated URL. The underlying data was the same. The output was specific enough to inform actual marketing decisions.
The current version is a full report website, accessed via a custom login, with optional filters to exclude portals from location data. Branch-level and brand-level data sits alongside competitor comparison, market averages, and month-on-month trend data. Plus, the new AI dashboard is fully integrated into the search visibility report.
The content writing tool
One of the tools built on top of the platform is a blog drafting tool designed specifically for estate agents. It pulls from Google News (additional sources now added) to identify industry-specific, recent topics. It then researches and outlines content topics, generates draft posts that are then sent automatically to the agency’s website for review before publishing.
The tool is fully configurable. Tone, style, templates, and topics can all be set at the agency level, which means the output reflects how your agency actually writes, not a generic wall of AI text. The drafts arrive ready to review in your CMS.
Adding AI visibility
When AI Overviews began appearing consistently at the top of Google results, the existing data set captured what happened below them. That was no longer sufficient.
In late 2025, AI visibility tracking was added to the pipeline. The same automated search infrastructure now records whether an agency appears inside Google’s AI Overview for each query, as a linked citation, as a text mention, or as both, and scores it using the weighted formula that produces the AI Visibility Score. It was a significant addition to the data model and a necessary one. Search had changed. The tool needed to reflect that.
Built by Adam Parish
The platform was built by Adam Parish, Roar’s managing director of 10 years. His interest has always sat at the intersection of search and automation: what becomes possible when you stop doing things manually and build infrastructure to do them at scale.
The Intel platform is the most complete expression of that. Four years of iteration, driven by what estate agency clients actually needed to see to make better marketing decisions.