Before the open house, they asked AI where to start.
Best brokerage for first-time buyers, best property management, best online lender: engines answer with names, national brands dominate, and the lists were stable in our sampling. Breaking in takes measurement and the right citations, not luck.
What we measured
The portals took the listings. Now the engines are taking the introductions, and they mostly introduce the biggest names.
18
companies named across six answers to three property questions
67%
overlap between identical runs; stable lists, dominated by national brands
0 of 3
questions changed their top recommendation between identical runs
Measured 12 August 2026: three buyer questions, asked twice each on ChatGPT (gpt-5-mini). Small sample, real answers. Run your own brand through the free check for yours.
Measure, decide, act
Every day, one ranked next move.
Honeyb scans the engines daily, weighs everything it measured about your brand, and hands you the action that would move your visibility most, with the evidence attached. When the action is content, the content engine can draft and publish it. Your team approves; the work happens.

“I was spending thousands on Google ads, same as my competitors. Then I started optimising for AI search. One ChatGPT recommendation alone brought us $75K in profit. The ROI doesn’t compare.”
Scott Westfall
CGP Real Estate
Also trusted by leading European financial institutions
Meet Honeyb
It doesn’t just watch.
It does the work.
Honeyb drafts the neighbourhood guides and buyer-question answers your prospects actually ask for, generates your llms.txt, checks how machines read your listings site, and points outreach at the local sources that decide which brokerage AI names.









Content Library
A month of posts, on autopilot
llms.txt
Audited and kept right
AI Readability
Bot access, structure, metadata
Comparison pages
Suggested where models cite them
Opportunities
The sources shaping answers, ranked
Per-bot access
GPTBot and ClaudeBot checks
Brand Profile
What models get right, and wrong
Weekly moves
Recommendations, ranked by impact
Content Library
A month of posts, on autopilot
llms.txt
Audited and kept right
AI Readability
Bot access, structure, metadata
Comparison pages
Suggested where models cite them
Opportunities
The sources shaping answers, ranked
Per-bot access
GPTBot and ClaudeBot checks
Brand Profile
What models get right, and wrong
Weekly moves
Recommendations, ranked by impact
Publishes to your CMS
Learns from your data
For brokerage and proptech marketing leaders
What this looks like in your world.
National is locked, local is open
Household names own the national answers, but state and metro questions still churn. That is where a regional brand wins first.
Trust queries decide commissions
'Best brokerage for first-time buyers' is a commission-sized question answered in one paragraph. Being the named answer compounds.
Your agents ask too
Recruiting runs through the same engines: 'best brokerage to work for' gets answered the same way. One measurement covers both funnels.
Season and rate cycles move the questions
The prompt set shifts with the market. Daily tracking catches when a new question starts converting.
FAQ
Frequently asked questions.
Free to start
Get recommended by AI search models.
Run a free AI search visibility check, then let the Honeyb agent do the work that gets you into the answers.
ChatGPT
Claude
Gemini






