Skip to content

Win the property shortlist AI assembles.

See which community or management company AI recommends for each market, renter need and owner brief. Then trace the shortlist back to the listing, local source or missing fact that shaped it.

See every shortlist you’re on.

Buyers ask the same thing a hundred ways, and each question gets its own picks. Track the questions that matter and see how far you are from the top.

Austin two-beds

Leasden Living 4th, in 14 of 40

Denver pet-friendly

Leasden Living 1st, in 37 of 40

Charlotte amenities

Leasden Living 2nd, in 31 of 40

Rental management

Leasden Living 2nd, in 30 of 40

Work-from-home flats

Leasden Living 4th, in 21 of 40

  • Leasden Living
  • Rivals
  • Your gap to first

40 AI answers per question. Height shows how many named each brand.

Explore the evidence

Give AI a reason to pick you.

Trakkr reads the pages behind every pick. When AI can’t find what it needs, Trakkr writes the fix and ships it once you approve.

  • You approve every change
  • Ships to Shopify, WordPress, Webflow and GitHub
Tenbrook Homes

East Austin

38of 40

Why AI picks it

  • Lists unit-level laundryTenbrook Homes website
  • Publishes two-bedroom plansTenbrook Homes guide
ChatGPT says

“Lists laundry features for each unit.”

Fix ready1 of 3
leasden-living.test

List laundry and commute details.

Leasden Living

Austin apartments

14of 40
  • Unit-level laundry details are missing.Leasden Living website

Follow every pick to your site.

Connect Google Analytics to see AI referral visits and landing pages. Recorded conversions depend on the events and values configured in your property.

30 days · AI referral visits

Austin apartments

/austin-apartments
193 visits
193 AI visitsFixed

Austin two-beds

/austin-two-beds
140 visits
140 AI visits

Denver pet-friendly

/denver-pet-friendly
97 visits
97 AI visits

Charlotte amenities

/charlotte-amenities
83 visits
83 AI visits

AI referral visits

30-day total
513 visitsFour landing pages · AI referrals

Mini bars show 30 days of AI visits.

Google Analytics attribution

A property answer is assembled from distributed, changing truth.

Renters and owners ask different questions, but both expect an answer to resolve one local entity, its evidence and the limits of what is known.

01

The shortlist

One prompt can replace the first ten tabs.

A renter combines market, bedrooms, commute and must-have features in one question. The answer can narrow the field before a property site gets a visit.

02

Distributed truth

The portfolio is only as clear as its weakest record.

Property pages, syndication feeds, local profiles, review platforms and neighbourhood sources can describe the same community differently. AI sees the disagreement before the leasing team does.

03

Volatile facts

Availability and policy language age quickly.

A recommendation can repeat a stale floor-plan, pet or fee statement. Trakkr flags the conflict and its source, but leaves the true answer to the authorised operating system and team.

04

Owner demand

Management-company discovery has a second buyer.

Small-portfolio owners ask about service area, property type, maintenance, reporting and fee structure. Those questions need a different evidence path from an apartment search.

Open the full readout.

Switch views to see how Trakkr breaks down visibility for multifamily and property management companies, from the market to the work that moves it.

Leasden Living

Find the market and property behind the average.

An executive signal should open into the exact community, prompt set, source conflict and team that can fix it.

Leasden Residential portfolio

Six communities · five US markets · renter and owner-intent prompts

Portfolio visibility
61
-1.4 points over the tracked period
Citation coverage
65%
Owned, listing and local evidence
Listing truth
71%
Alignment only, never a live property claim

Property portfolio map

Shortlist visibility by market and property need

6 properties

Strong

70+

Mixed

55–69

At risk

<55

Eastline Works

Austin, TX · Urban apartments and commute needs

76

+3.7

Rank
#2
Citations
82%
Listing truth
88%

Property, listing and transit sources resolve one entity; a parking statement still needs an authorised check.

Union Thread Apartments

Denver, CO · Pet and light-rail needs

71

+1.8

Rank
#2
Citations
75%
Listing truth
79%

Transit context is strong; pet-policy wording is not aligned across the source set.

Parkline Exchange

Charlotte, NC · Remote-work and practical amenity needs

65

+2.4

Rank
#3
Citations
69%
Listing truth
73%

The property is easy to resolve, but coworking evidence remains unverified in two answer paths.

Copper Mesa Homes

Phoenix, AZ · Single-family rental and manager selection

58

-2.9

Rank
#4
Citations
61%
Listing truth
68%

Management-service scope is broad, while reporting and maintenance workflow proof is thin.

Oakline Court

Atlanta, GA · Two-bedroom and practical amenity needs

53

-1.6

Rank
#4
Citations
55%
Listing truth
64%

The listing network resolves two versions of the property name and gives mixed amenity context.

Fieldstone Juniper

Austin, TX · Two-bedroom and downtown commute needs

46

-6.8

Rank
#5
Citations
48%
Listing truth
51%

Floor-plan, listing and neighbourhood evidence do not yet form one current, source-ready record.

Attention

Fieldstone Juniper fell 6.8 points in the tracked set. The floor-plan page is clear, but two listing records disagree and local commute evidence is not joined to the property entity.

View 1 of 7

Keep every result reviewable.

The exact prompt, market, entity, engine, answer, source and check date stay attached.

  1. 01Define the buying moments

    Build prompt sets by market, property type, bedroom need, practical attribute, location context and management-service brief.

  2. 02Capture each answer

    Keep the engine, prompt, market, entity, shortlist position, answer text, cited sources and check date together.

  3. 03Resolve the source trail

    Separate owned property facts, local profiles, listing marketplaces, public local sources, reviews and community discussion.

  4. 04Verify before publishing

    Route any rent, availability, concession, amenity, policy, accessibility, review or ownership question to the authorised system and team.

  5. 05Measure the next run

    Re-run the same fixed prompt set and record whether the entity, evidence and shortlist changed.

Housing teams remain responsible for fair-housing review and the truth of every public property statement.

Every answer and figure in the examples on this page is made up to show how Trakkr works, including those for real brands. The other company names are made up too.

Questions, answered.

What portfolio and growth teams ask before they start.

Trakkr runs a fixed set of renter and owner prompts across supported AI engines, records whether each property or manager appears, and keeps the answer, position, market, citations and check date together. Teams can view the portfolio signal, then diagnose one market, property, need or source.

Ask anything elseAsk anything else

The Agent answers from our docs, methods and pricing, and links to the source.

Be the pick.

Add your website and the questions your buyers ask. Track the answers, inspect the evidence and decide which changes to make.

  • 14-day free trial
  • Cancel anytime
  • You approve every change
Check your site

Every question your buyers askchecked daily in eight AI models