For real estate teams
Listings and leads from the searches behind every move.
SearchHandled builds the neighborhood, seller, and guide pages buyers and sellers read before they pick an agent, refreshed as markets move.
01 · Page types
The pages that win in real estate.
Five page families do most of the work. Here is what each looks like for this industry. Real targets come from your Growth Map.
Page family
Comparison pages
example.com/compare/buying-vs-renting-in-austinexample.com/compare/cash-offer-vs-traditional-listing
Page family
Location pages
example.com/neighborhoods/zilkerexample.com/neighborhoods/round-rock-west
Page family
Service pages
example.com/services/sell-your-homeexample.com/services/first-time-buyers
Page family
Calculators
example.com/calculators/home-affordabilityexample.com/calculators/seller-net-sheet
Page family
Buying guides
example.com/guides/how-to-choose-a-listing-agentexample.com/guides/moving-to-austin
02 · An example queue
What the first 90 days could look like.
Every opportunity below is illustrative. A real map uses your pages, Search Console data, business rules, and approved sources.
Weekly scan
SearchHandled found 21 opportunities on yourcompany.com this week.
Organic clicks, last 90 days
Illustrative workspace: nothing connects or publishes.
03 · The operating loop
How SearchHandled runs it.
The same loop as every other terrain, run on the page families above and under your rules.
Research
We map the neighborhoods, price bands, and move triggers people search, prioritized by listing and buyer value.
Publish
Pages ship under your rules. Market stats and anything reading as financial advice route to review first.
Refresh
The refresh engine updates market stats, decaying neighborhood pages, and overlapping guides as conditions change.
04 · The rules for this industry
What never publishes without a person.
Property and market pages hold for review. Housing is a protected-class context in most jurisdictions, and a phrase that reads as steering is not a ranking problem: it is a legal one.
Won't write
Held at any automation setting
- Any description of a neighbourhood by the people who live there
- Investment return projections or 'guaranteed appreciation' language
- School-quality claims stated as fact rather than attributed to a rating source
- Market predictions presented without the data and date behind them
Structured data
The markup that actually applies.
RealEstateAgentRealEstateListingPlacePersonBreadcrumbList
RealEstateListing for individual properties, Place for area pages. Where a listing feed is involved, markup has to match the visible page: marking up properties the page does not show is a High finding in our own audit and a manual-action risk in practice.
Location pages
Where geography is real.
Neighbourhood pages are the whole game here and they are also the most-templated pages on the web. Ours have to carry the current numbers (median price, days on market, inventory) from a source we name and a date we print, or they are indistinguishable from the twenty other agent sites covering the same postcode.
Evidence
What you have to be able to show.
Transactions you actually closed, with dates and areas, and a named agent behind every market opinion. The vertical is saturated with agents publishing identical market commentary; the only defensible position is having sold the houses you are writing about.
05 · Assistants
How real estate loses in AI answers.
Assistants send buyers to Zillow, Rightmove, or Realtor.com because portals hold the inventory. An agent competes on the questions portals answer badly (the process, the local quirks, the negotiation), not on listing data they will always lose.
The prompts we would sample
- Is it a good time to buy in my area?
- What are homes selling for on my street?
- Which realtor should I use to sell my house?
- How much are closing costs for a buyer?
For real estate teams
Listings and leads from the searches behind every move.
Start with an illustrative map, then define the data, approvals, and publishing scope together.