Playbook · Industry startups
SEO & AI search playbook for real estate tech
Property search is dominated by big portals with years of links. A proptech startup usually can't win “homes for sale in [city]”, and shouldn't try with the same syndicated listings every other site shows.
What works is what the portals don't do well: data from your own product, calculators, and guides for landlords, tenants or agents that are reviewed for the jurisdiction they cover.
Updated By the LaunchRanked team5 sources checked
Searches to plan around
Query patterns and the intent behind them. We don’t quote search volumes: check your own Search Console for the ones you already appear for.
“average rent [area]”, “[area] house prices”
Market checkOnly publish if you have your own data, with method and dates.
“landlord [obligation] [state]”, “tenant rights [issue]”
RulesJurisdiction-specific and high-stakes. Needs review and sources.
“rental yield calculator”, “mortgage calculator”
Do the mathsCalculators with the formula shown.
“property management software for [size]”, “CRM for real estate agents”
B2BAgent and landlord software buyers compare on features and price.
Page families that work
Market data pages
/data/rent/[area]
From your own data, with sample size and period. Only areas with enough data.
Jurisdiction guides
/guides/landlords/[state]
Reviewed, sourced, dated.
Calculators
/calculators/rental-yield
Each with its own formula and assumptions.
B2B tool pages
/for/property-managers
Where workflows really differ.
Risky page types
Syndicated listings as your content
The same listing text appears on many sites. It gives Google little reason to rank yours.
Neighbourhood pages with generic text
“[Area] is a vibrant neighbourhood with great amenities” for every area is scaled content.
Technical pitfalls
Map-first search pages
Map search built in JavaScript often has no crawlable links to listings. Google's link guidance says it reliably follows only <a> elements with an href, so provide HTML list views with real links.
Expired listings
Decide how you handle them: 404/410 for gone listings, as Google's crawl budget guide recommends for removed pages.
Fair housing language
Housing ads and descriptions are regulated in many markets. Review descriptions and guides with that in mind.
Area pages with too little data
A rent page built on a handful of listings gives misleading numbers. Set a minimum sample size and noindex areas below it.
How AI assistants answer questions in this category
Assistants asked about rents or prices look for data sources with dates, and hedge heavily. Questions about landlord or tenant rules are answered with caveats and citations to official or reviewed sources. A startup with its own data and method can be one of those sources.
What tends to earn a citation
- Data pages with the method, sample size and date near the numbers.
- Guides that name the jurisdiction and link to the official rules.
- Calculators with their assumptions written out.
Check whether the AI crawlers you want can reach your site with our AI crawler checker.
Where links come from
Local press
Local reporters use rent and price data. A clear method makes you quotable.
Agent and landlord communities
Calculators and guides get shared in professional groups.
SaaS and regional directories
SaaS and regional directories.
Directory lists that fit real estate tech
- SaaS directories
- Regional startup directories
- Startup directories
- Where to submit: B2B SaaS
- All directories
Each directory is checked on its own site: price, link type and review process. We never sell links.
A 90-day plan
Days 1–30
Data and scope
- Check what data you can publish and for which areas.
- Decide which jurisdictions you can review.
- Fix crawlable links from map search.
Days 31–60
Pages
- Publish data pages for areas with enough data.
- Build two calculators.
- Publish reviewed guides for your main jurisdictions.
Days 61–90
Outreach and loop
- Share data with local press.
- Set an expired-listing rule.
- Rewrite titles at positions 5–20.
What to watch in Search Console
The Performance report gives clicks, impressions, CTR and average position by query, page, country, device and date. Traffic from Google's AI features is counted there too, under the Web search type (Google).
- Queries with area names
- Shows which areas people search you for.
- Links to data pages
- The Links report shows whether press and blogs cite your data.
- Calculator impressions
- Steady non-brand discovery.
Frequently asked questions
Can we compete with the big property portals?
Not on listing searches. On your own data, calculators and reviewed guides, yes.
Should we index syndicated listings?
They add little. Focus indexable pages on what's unique to you.
Are landlord guides risky?
They're high-stakes. Review them for each jurisdiction and date them.
How do assistants treat housing data?
They look for sources with dates and methods, and add caveats.
Sources
Checked on September 23, 2026. Search patterns and page advice are our own judgement from running this playbook; we don’t quote search volumes or third-party statistics.