In real estate, the searches that lead to listings are different from the ones portals are built for. 'House valuation', 'estate agent to sell my house' and 'property management company' are contested branch by branch against local independents and national brands, and individual agents can hold Google profiles in their own names. SearchOps tracks each branch's patch for seller and landlord searches, shows the agencies that take the rest, and reports which agencies ChatGPT and Gemini recommend when an owner asks.
The problem
An owner choosing an agent is searching for something different from a buyer browsing homes, and that search is local to each branch. Google's guidelines treat real estate agents as individual practitioners who can have their own profiles, and don't allow a virtual office to be listed unless it is staffed during business hours, so a network's presence is a mix of branch profiles and agent profiles that all need to be accurate.
Valuation and 'sell my house' searches lead to listings, so they are worth tracking separately from buyer and renter searches.
Each branch competes with a different set of local agencies, and a brand-wide average can hide the branches losing ground.
Agent profiles need an agreed plan for when an agent leaves the business.
When an owner asks an AI assistant which agent to use, the answer names only a few agencies and draws on the sites it trusts.
Questions SearchOps answers
Branch managers and marketing leads need to know where listings come from. These five questions get to it, and each one is answered by data SearchOps collects for every branch and agent profile.
01Patch
A geo-grid scan checks each branch's Google Maps position across the neighbourhoods it covers, for searches like 'estate agent', 'real estate agent near me' or 'property management company'. You see where the branch appears in the top three and which agents take the rest.
Each branch's real patch, drawn on a map
Used in this step
02Sellers
Track the searches that come before a listing or a management contract, such as 'sell my house Denver', 'house valuation Leeds' or 'letting agent Dublin 8', alongside buyer and renter searches. Google Search Visibility shows web results, the Map Pack and AI Overviews for each one.
Visibility for the searches that bring in the most valuable business
Used in this step
03Rivals
Scans list the agents ahead of you at every point, and Map Insights compares your branch with them on categories, reviews and listing details. Competitors keeps one list of rival agencies for each branch, including changes to their profiles.
The local agencies to beat, branch by branch
Used in this step
04AI answers
SearchOps asks ChatGPT and Gemini questions like which agents in Brooklyn are best for selling an apartment, or who manages rental properties well in Brisbane. You see how often each branch is recommended, the agencies named instead, and the portals, review sites and local press the answers cite.
Your share of AI recommendations in each market
Used in this step
05Reputation
Reviews from every connected branch and agent profile arrive in one inbox, with sentiment by topic, so you can see whether communication, valuations or lettings service drive the rating. Connected profiles also show calls, website clicks and direction requests for each branch.
Branch-by-branch reputation and enquiries in one place
Used in this step
The toolkit
Seller, landlord and buyer searches for each branch, map coverage across every patch, branch and agent profiles, ChatGPT and Gemini, and reviews, in one place. No plan charges per location, so a new branch is another location on your plan.
Also working for you
Before and after
Use cases
Illustrative examples from estate agents, brokerages and property managers.
Independent estate agency, two branchesBristol, UK
Rank tracking shows the agency in the Map Pack for 'letting agents' but on page two for 'sell my house' searches in the same area, where a national chain's branch and a local rival hold the top spots. The problem is specific to sellers, and the rivals' profiles show what they put forward that the agency doesn't.
Real estate brokerage, 12 officesTexas, United States
Each office is tracked as its own location. Scans for 'real estate agent near me' show most offices holding their neighbourhoods, but three drop out a few blocks away, and their profiles have far fewer recent reviews than nearby independents. Leadership gets a list of offices to support, not a brand average.
Property management companyBrisbane, Australia
AI visibility checks ask ChatGPT and Gemini about property managers for investors in Brisbane. The company appears in some answers, a rival is recommended far more often, and the answers cite a review site where the rival has many more reviews. That shows where the recommendation gap comes from.
Residential agencyDubai, UAE
Tracking each agent's profile alongside the agency shows which agents appear for searches in their communities and which profiles have gone quiet, with few recent reviews or out-of-date details. The agency can see where its people's visibility supports the brand and where it doesn't.
Choosing a plan
Plans scale with the branches and agent profiles you track, and whether a network marketing team or an agency works on the account. Every plan includes every tracking tool.
For a single-office agency
For a multi-branch agency or a team of agents
For networks, franchises and larger groups
FAQ
The same platform, set up for a different kind of business.
