◆ZILLOW × KNOTCH ACE · RENTALS NETWORK SOLUTIONS

ACE Readout

Knotch Adaptive Content Experience for Zillow Rentals

Jun 30 – Oct 18, 2026Jun 30 – Oct 18, 2026Updated Oct 19, 2026
V1 vs V2 Prompt & Interaction Data Conversion Breakdown Content Library

V2 Outperformed V1

V2 improved on 7 of 8 measures and slipped on 1. Visitors picked a persona about twice as often, used the chat about three times as often, bounced less, and converted more.

ACE, V2 compared with V1
Better than V1Worse than V1V1

Personalization Rate

Visitors who picked a persona

V111.7%
to
V224.8%
+13.1 pts

ControlNo persona option

Chat Use

Visitors who used the chat

V14.5%
to
V213.7%
+9.2 pts

ControlNo chat

Bounce Rate

Sessions with one interaction; lower is better

V138.1%
to
V219.8%
−18.3 pts

Control44.0% to 25.8%

Conversion Rate (Multi-Session)

Visitors who converted

V17.9%
to
V217.8%
+9.8 pts

Control13.4% to 22.0%

Scroll for what moved, why, and the detail behind it
2

What Moved

Every measure for the ACE page, V1 against V2.

ACE Scorecard, V1 to V2

Best in RowBetter than V1Worse than V1V1

V2 led V1 on 7 of 8 measures. Control’s V1 to V2 change is shown on the right for context; conversion and bounce rate also improved on the Control page.

V1V2ChangeControl, V1 to V2
Using ACE Features
Personalization Rate
11.7% (188 of 1,604)
24.8% (151 of 608)
+13.1 ptsNo persona option
Chat Use
4.5% (72 of 1,604)
13.7% (83 of 608)
+9.2 ptsNo chat
Engagement
Time on Page
4m 40s
4m 39s
−1s1m 03s to 32.7s
Scroll Depth
61% (1,604 visitors)
64% (608 visitors)
+3 pts28% to 23%
Bounce Rate
38.1% (898 of 2,358)
19.8% (188 of 948)
−18.3 pts44.0% to 25.8%
Sessions per Visitor
1.47
1.56
+0.091.21 to 1.25
Views per Visitor
1.71
1.82
+0.111.29 to 1.40
Conversion
Conversion Rate (Multi-Session)
7.9% (127 of 1,604)
17.8% (108 of 608)
+9.8 pts13.4% to 22.0%
3

Why It Moved

What changed in V2, and how visitors used it.

What Changed in V2

V2 launched on Sep 9 with four main changes. Two of them, the new hero and the new persona picker, put personalization front and center.

Answers About 2× Faster

A typical answer now takes about 11 seconds, down from about 25.

Related MeasureChat Use

A Custom Layout for Each Question

ACE builds each answer page from the components that best fit the question, instead of a fixed template.

Related MeasureChat Use, Time on Page

A New Hero Section

The top of the page puts more weight on personalized conversion paths.

Related MeasureConversion Rate (Multi-Session)

A New Persona Picker

Picking a persona was redesigned for both mobile and desktop.

Related MeasurePersonalization Rate

Personalization Rate More than Doubled

Better than V1Worse than V1V1

24.8% of V2 visitors picked a persona, more than double V1’s 11.7%. The rise held on both desktop and mobile, so a shift in device mix doesn’t explain it.

Personalization Rate

Share of ACE visitors who picked any persona, compared with V1

V1
11.7% (188 of 1,604)
V2
24.8% (151 of 608)
Control
No persona option

Personalization Rate Rose on Both Devices

Persona visitors as a share of ACE visitors on each device, compared with V1

V1V2
Desktop
25.7% (182 of 708)
36.3% (147 of 405)
Mobile
4.7% (42 of 896)
16.3% (33 of 203)

Desktop grew from 44% to 67% of ACE visitors. At V1’s device mix, V2’s personalization rate would still be about 25%, compared with 14% in V1.

Chat Use More than Tripled

Best in RowBetter than ComparisonWorse than ComparisonComparisonsmall sample

In both versions, ACE visitors who used the chat converted more often than those who didn’t. Chat users also stayed much longer and rarely bounced.

Used the Chat

Share of ACE visitors who used the chat, compared with V1

V1
4.5% (72 of 1,604)
V2
13.7% (83 of 608)
Control
No chat

How Chat Users Compare

Chat users compared with non-chat visitors in the same version

Conversion Rate (Multi-Session)Time on PageBounce Rate
V1V2V1V2V1V2
Chat Users small sample
19.4% (14 of 72)
31.3% (26 of 83)
8m 57s
8m 48s
5.7% (23 of 402)
7.4% (21 of 284)
Non-Chat Visitors
7.4% (113 of 1,532)
15.6% (82 of 525)
3m 11s
2m 39s
44.7% (875 of 1,956)
25.2% (167 of 664)
Control, for Context13.4% (274 of 2,038)22.0% (168 of 763)1m 03s32.7s44.0% (1,085 of 2,464)25.8% (246 of 952)
self-selectedVisitors who choose to chat may already be more motivated, so this shows who converts, not the chat’s effect. The V2 gap points the same way as V1 but rests on 83 chat users.
4

Who and What

ACE against Control, persona groups, and traffic.

ACE vs Control in Each Version

Best in RowBetter than ControlWorse than ControlControl

ACE beat Control on all five engagement measures in both V1 and V2. ACE trailed Control on conversion in both versions.

V1 ACEV1 ControlV2 ACEV2 Control
Time on Page
4m 40s
1m 03s
4m 39s
32.7s
Scroll Depth
61% (1,604 visitors)
28% (2,038 visitors)
64% (608 visitors)
23% (763 visitors)
Bounce Rate
38.1% (898 of 2,358)
44.0% (1,085 of 2,464)
19.8% (188 of 948)
25.8% (246 of 952)
Sessions per Visitor
1.47
1.21
1.56
1.25
Views per Visitor
1.71
1.29
1.82
1.40
Conversion Rate (Multi-Session)
7.9% (127 of 1,604)
13.4% (274 of 2,038)
17.8% (108 of 608)
22.0% (168 of 763)

ACE as a Multiple of Control

ACE ÷ Control, V1 to V2

Conversion Rate (Multi-Session)0.59× to 0.81×

Control’s conversion rose too (13.4% to 22.0%), but ACE’s rose more, closing most of the gap.

Bounce Rate0.86× to 0.77×

Both pages bounced less in V2, and ACE’s edge grew. Lower is better.

Time on Page4.45× to 8.52×

The lead grew mostly because Control’s time fell (1m 03s to 32.7s).

Views per Visitor1.33× to 1.30×

The lead narrowed because Control rose.

Conversion by Persona

Best in RowBetter than ControlWorse than ControlControlsmall sample

In both versions, visitors who personalized converted at a higher rate than visitors to the Control page. In a single session, 11.2% of V1 persona pickers converted vs 10.5% on Control, and 25.8% vs 18.7% in V2; every persona also beat Control on multi-session conversion. Persona groups are small, so read the V1 to V2 changes as directional.

Conversion Rate (Multi-Session) by Persona

The Control page has no persona option, so every row is compared with all Control visitors.

V1V2
Individual Landlord
20.3% (30 of 148)
27.5% (33 of 120)
Property Manager/Single Family
13.7% (7 of 51) small sample
42.1% (16 of 38) small sample
Enterprise/Multi-Family
24.0% (6 of 25) small sample
40.9% (9 of 22) small sample
No Persona Selected
5.7% (91 of 1,597)
10.4% (60 of 579)
All Control Visitors
13.4% (274 of 2,038)
22.0% (168 of 763)

Conversion Rate (Single-Session)

Visitors who converted in the same session they viewed the page single-session

V1V2
Picked Any Persona
11.2% (21 of 188)
25.8% (39 of 151)
ACE Page, No Persona Selected
4.5% (72 of 1,597)
9.3% (54 of 579)
All Control Visitors
10.5% (214 of 2,038)
18.7% (143 of 763)

Traffic Context

Traffic was lower on both pages in V2, and desktop’s share of visitors rose on both, more on ACE.

Visitors per Day

Unique visitors ÷ days in each version

ACE
22.6 V1
15.2 V2
−33%
Control
28.7 V1
19.1 V2
−34%

Desktop Share of Visitors

Desktop visitors ÷ all visitors

ACE
44% V1
67% V2
Control
47% V1
56% V2
5

Reference

Definitions and notes on the data.

Definitions

Conversion Rate (Multi-Session)
Visitors who converted in any visit during the period, including the visit when they viewed the page ÷ unique visitors. Conversions are Post Your Listing (gated and ungated) and Contact Sales.
Conversion Rate (Single-Session)
Visitors who converted during the same visit in which they viewed the page ÷ unique visitors.
Personalization Rate
ACE visitors who picked any persona, counted once each ÷ all ACE visitors.
Used the Chat
ACE visitors with at least one chat click ÷ all ACE visitors.
Bounce Rate
Single-interaction sessions ÷ sessions. Lower is better.
Time on Page / Scroll Depth
Average seconds per view, and average share of the page scrolled.
Change
V2 minus V1. Colors compare V2 with V1 at the top of the page and ACE with Control further down; each section’s key says which.

About the Data

  • V1 runs Jun 30 – Sep 8, 2026 (71 days); V2 runs Sep 9 – Oct 18, 2026 (40 days). Each is compared with the Control page over the same dates.
  • Unique visitors don’t add across versions or personas; returning visitors and visitors who switch personas appear in more than one group.
  • “No Persona Selected” is activity while no persona was chosen, including activity by persona pickers before they picked one.
  • The device personalization-rate figures add up the persona groups, so a few visitors who switched personas are counted twice. They are used to compare versions, not as headline levels.
  • “small sample” marks groups with fewer than 100 visitors.

What Visitors Are Asking ACE

Every question asked in the ACE chat from Jun 30 to Oct 18, 2026. Visitors have asked 1,072 questions across 497 conversations, and the total grows every week.

Questions Asked

1,072

Jun 30 – Oct 18, 2026

Conversations

497

2,140 messages in total

Messages per Conversation

4.3

Average across all personas

Asked After Picking a Persona

60%

643 of 1,072 questions

Questions Asked Over Time

Running total of questions, by week. Weekly detail begins Jul 27; the dashed line covers Jun 30 – Jul 26 (345 questions), which was reported as one block.

02505007501,0001,250Through Jul 26: 345 questionsThrough Aug 2: 427 questionsThrough Aug 9: 544 questionsThrough Aug 16: 601 questionsThrough Aug 23: 636 questionsThrough Aug 30: 655 questionsThrough Sep 6: 689 questionsThrough Sep 13: 773 questionsThrough Sep 20: 803 questionsThrough Sep 27: 884 questionsThrough Oct 4: 944 questionsThrough Oct 11: 1,026 questionsThrough Oct 18: 1,072 questions3454275446016366556897738038849441,0261,072Jul 26Aug 2Aug 9Aug 16Aug 23Aug 30Sep 6Sep 13Sep 20Sep 27Oct 4Oct 11Oct 18Jun 30
Scroll for what visitors ask, how they engage, and what ACE cites
2

What They Ask

The themes and wording of visitors’ questions.

Question Themes by Persona

Most questions are about running a rental: leasing and operations, tenant screening, listing on Zillow, and marketing. Enterprise visitors ask mostly about marketing and advertising.

Share of each group’s questions, by the persona selected when the question was asked

Individual Landlord386 questions
119
119
66
30
26
Property Manager/Single Family134 questions
40
26
14
24
20
9
Enterprise/Multi-Family123 questions
22
25
61
No Persona Selected429 questions
79
61
85
54
78
60
All Questions1072 questions
260
212
190
169
126
94
Leasing, Rent & Operations (260)Tenant Screening & Compliance (212)Listing & Rental Manager (190)Marketing & Advertising (169)3D Tours & Listing Media (126)Other Questions (94)Off-Topic (Not Relevant to Zillow) (21)

Example Questions by Theme

Visitors ask practical, how-to questions about Zillow’s rental tools, from Rental Manager and screening to Rent Connect and 3D Home. Examples are the most frequent wordings in each theme.

Leasing, Rent & Operations24%
  • “Which metrics should managers track to optimize their leasing funnel?”
  • “Which key performance metrics should property managers track to optimize the Zillow leasing funnel?”
Tenant Screening & Compliance20%
  • “How do Zillow’s tenant screening tools help mitigate landlord risk?”
  • “How does Zillow Rental Manager assist landlords with state-specific lease compliance?”
Listing & Rental Manager18%
  • “What is Zillow Rental Manager and what is the process for using it?”
  • “How does Zillow rental manager help small landlords?”
Marketing & Advertising16%
  • “What are the key strategies and best practices for multifamily digital marketing for an Executive in the real estate industry?”
  • “how do i get more leads”
3D Tours & Listing Media12%
  • “How can I use Zillow 3D Home to attract serious renters?”
  • “How can landlords and property managers use Zillow 3D Home to attract serious renters?”
Other Questions9%
  • “can you help me pick a pest control service?”
  • “give me a pest control service”

How Visitors Ask

Since Oct 5, visitors typed 73% of their questions in their own words; the rest came from prompt chips. Visitors with no persona selected leaned on prompt chips most.

Typed vs Prompt Chip, by Persona

Questions since Oct 5, when question type began being recorded (128 of 1,072 questions)

Individual Landlord37 questions
32
5
Property Manager/Single Family21 questions
20
Enterprise/Multi-Family11 questions
10
1
No Persona Selected59 questions
32
27
All Questions128 questions
94
34
Typed by the VisitorPrompt Chip
Visitors Asked for Shorter Answers“Can you give me only 1 sentence answers? I hate to read long paragraphs.”“Can you give me the same answer in 3-5 sentences?”

In Their Own Words

Questions visitors typed themselves, one per theme

  • “How do I get more leads”
  • “How do I find a quality renter?”
  • “What steps ensure consistent screening criteria for all applicants”
  • “How do 3D tours impact rental listing engagement metrics”
  • “Can Zillow help me with listings and advertising?”

Most-Clicked Prompt Chips

Since Oct 5, all personas

  1. “How can I use Zillow 3D Home to attract serious renters?”6×
  2. “Which metrics should managers track to optimize their leasing funnel?”4×
  3. “How do Zillow’s tenant screening tools help mitigate landlord risk?”4×
  4. “How do floor plans complement 3D tours for prospective renters”2×
3

How They Engage

Who asks, and how long their conversations run.

Questions and Conversations by Persona

Individual Landlords and visitors with no persona selected ask 76% of all questions. A typical conversation runs about 4.3 messages, roughly 2 questions and their answers.

Questions by Persona

Questions asked, by the persona selected at the time

Individual Landlord
386 (36%)
Property Manager/Single Family
134 (12%)
Enterprise/Multi-Family
123 (11%)
No Persona Selected
429 (40%)

Conversations by Persona

Messages include both visitor questions and ACE’s answers

ConversationsMessagesMessages per Conversation
Individual Landlord
189
7934.2
Property Manager/Single Family
61
2674.4
Enterprise/Multi-Family
54
2484.6
No Persona Selected
193
8324.3
All Personas4972,1404.3
4

Reference

Notes on the data.

About This Data

  • Includes every chat question from Jun 30 to Oct 18, 2026, built by adding each week’s report to the running total. Weekly reports begin Jul 27; earlier questions were reported together.
  • Each question is counted under the persona selected when it was asked. “No Persona Selected” means no persona was chosen at the time. Questions often include the persona context the visitor selected.
  • Themes are grouped from the question text. 21 questions were unrelated to Zillow or rentals and are grouped as Off-Topic; they are left out of the examples.
  • A conversation that continued from one weekly report into the next may be counted in both.

Visitors Who Personalized Converted at 2.7× the Rate

All ACE visitors from Jun 30 to Oct 18, 2026, single-session conversion. Visitors who picked a persona converted at 18.4%, compared with 6.7% for those who didn’t, and above Control’s 12.7%.

Single-session conversion, compared with Control
Better than ControlWorse than ControlControl

Did Personalize

18.4%

57 of 310 visitors

Didn’t Personalize

6.7%

124 of 1,852 visitors

Lift from Personalizing

2.7×

Did vs didn’t personalize

Conversion Rate (Single-Session), All Conversion Types

Single-session: visitors who converted during the same visit in which they viewed the page ÷ unique visitors

Did Personalize
18.4% (57 of 310)
Didn’t Personalize
6.7% (124 of 1,852)
All ACE Visitors
8.4% (181 of 2,162)
All Control Visitors
12.7% (353 of 2,776)
self-selectedVisitors who pick a persona chose to, and may already be more motivated, so this shows who converts, not the effect of personalizing.
Scroll for conversion by persona and by conversion type
2

By Persona

Conversion for each persona, single-session and multi-session.

Conversion by Persona

Best in RowBetter than ControlWorse than ControlControlsmall sample

Visitors who personalized converted at a higher rate than visitors to the Control page. Across sessions, 27.1% of personalized visitors converted, compared with 15.7% on Control (18.4% vs 12.7% in a single session), and every persona beat Control on multi-session conversion. Half or more of Property Manager and Enterprise conversions came on a later visit.

Conversion Rate (Single-Session)Converted during the same visit in which they viewed the page.
Conversion Rate (Multi-Session)Converted in any visit during the period, including that same visit. A visitor who reads the page today and converts next week counts here, but not in single-session.
Conversion Rate (Single-Session)Conversion Rate (Multi-Session)
Did PersonalizePicked any persona, counted once
18.4% (57 of 310)
27.1% (84 of 310)
Individual Landlord
17.8% (44 of 247)
24.7% (61 of 247)
Property Manager/Single Family
13.9% (11 of 79) small sample
27.8% (22 of 79) small sample
Enterprise/Multi-Family
7.7% (3 of 39) small sample
30.8% (12 of 39) small sample
Didn’t PersonalizeACE visitors who never picked a persona
6.7% (124 of 1,852)
7.8% (144 of 1,852)
All ACE Visitors
8.4% (181 of 2,162)
10.5% (228 of 2,162)
All Control Visitors
12.7% (353 of 2,776)
15.7% (436 of 2,776)

Chat Users Compared with Personas

Best in RowBetter than ControlWorse than ControlControlsmall sample

Visitors who used the chat converted at 26.4%, 2.8× the rate of ACE visitors who didn’t (9.4%) and above Control (15.7%). Chat users were 7% of ACE visitors but 45% of its Contact Sales converters.

Conversion Rate (Multi-Session) by Segment

Multi-session: converted in any visit during the period. Chat users and personas overlap, so these rows are separate views, not a split.

All ConversionsPost Your Listing (Gated)Post Your Listing (Ungated)Contact Sales
Chat UsersUsed the chat at least once
26.4% (38 of 144)
4.2% (6 of 144)
13.9% (20 of 144)
18.1% (26 of 144)
Non-Chat ACE VisitorsNever used the chat
9.4% (190 of 2,018)
1.9% (39 of 2,018)
6.8% (137 of 2,018)
1.6% (32 of 2,018)
Individual Landlord
24.7% (61 of 247)
5.3% (13 of 247)
18.2% (45 of 247)
6.1% (15 of 247)
Property Manager/Single Family
27.8% (22 of 79) small sample
5.1% (4 of 79) small sample
6.3% (5 of 79) small sample
25.3% (20 of 79) small sample
Enterprise/Multi-Family
30.8% (12 of 39) small sample
2.6% (1 of 39) small sample
17.9% (7 of 39) small sample
25.6% (10 of 39) small sample
All Control Visitors
15.7% (436 of 2,776)
9.0% (249 of 2,776)
6.1% (168 of 2,776)
1.5% (41 of 2,776)

Which Personas Use the Chat

Share of chat conversations, by the persona selected at the time, Jun 30 – Oct 18

Individual Landlord
38% (189 of 497)
Property Manager/Single Family
12% (61 of 497)
Enterprise/Multi-Family
11% (54 of 497)
No Persona Selected
39% (193 of 497)

Conversion by persona for chat users is being added to reporting. Today’s view shows chat users as a group and which personas drive chat.

3

By Conversion Type

Gated listings, ungated listings, and Contact Sales.

Where Each Persona Converts

Better than ControlWorse than ControlControlsmall sample

Individual Landlords convert by listing; Property Managers and Enterprise visitors convert by contacting sales. Gated listing is the one conversion point where Control leads every persona.

Leading persona at each conversion point, Conversion Rate (Multi-Session), Jun 30 – Oct 18, 2026

Post Your Listing (Ungated)

Individual Landlord
18.2% (45 of 247)
3.0× Control’s 6.1%

Next: Enterprise/Multi-Family, 17.9%

Contact Sales

Enterprise/Multi-Family
25.6% (10 of 39) small sample
17.4× Control’s 1.5%

Next: Property Manager/Single Family, 25.3%

Post Your Listing (Gated)

Individual Landlord
5.3% (13 of 247)
Below Control’s 9.0%

Every persona trails Control here

Conversion Rate (Single-Session) by Type

Best in RowBetter than ControlWorse than ControlControlsmall sample

Visitors who personalized beat Control on ungated listings and Contact Sales. Gated listings is the one type where Control leads every ACE group.

Single-session: converted during the same visit in which they viewed the page

Post Your Listing (Gated)Post Your Listing (Ungated)Contact Sales
Did PersonalizePicked any persona, counted once
2.9% (9 of 310)
11.9% (37 of 310)
5.5% (17 of 310)
Individual Landlord
2.8% (7 of 247)
13.8% (34 of 247)
2.4% (6 of 247)
Property Manager/Single Family
2.5% (2 of 79) small sample
2.5% (2 of 79) small sample
11.4% (9 of 79) small sample
Enterprise/Multi-Family
0.0% (0 of 39) small sample
2.6% (1 of 39) small sample
5.1% (2 of 39) small sample
Didn’t PersonalizeACE visitors who never picked a persona
1.3% (25 of 1,852)
4.6% (85 of 1,852)
1.0% (19 of 1,852)
All ACE Visitors
1.6% (34 of 2,162)
5.6% (122 of 2,162)
1.7% (36 of 2,162)
All Control Visitors
7.4% (206 of 2,776)
4.3% (120 of 2,776)
1.3% (35 of 2,776)

Conversion Rate (Multi-Session) by Type

Best in RowBetter than ControlWorse than ControlControlsmall sample

Over the full period, Property Manager and Enterprise visitors converted on Contact Sales at many times Control’s rate. Personalized visitors converted on ungated listings at 2.9× Control’s rate.

Multi-session: converted in any visit during the period, including the visit when they viewed the page

Post Your Listing (Gated)Post Your Listing (Ungated)Contact Sales
Did PersonalizePicked any persona, counted once
5.2% (16 of 310)
17.7% (55 of 310)
11.6% (36 of 310)
Individual Landlord
5.3% (13 of 247)
18.2% (45 of 247)
6.1% (15 of 247)
Property Manager/Single Family
5.1% (4 of 79) small sample
6.3% (5 of 79) small sample
25.3% (20 of 79) small sample
Enterprise/Multi-Family
2.6% (1 of 39) small sample
17.9% (7 of 39) small sample
25.6% (10 of 39) small sample
Didn’t PersonalizeACE visitors who never picked a persona
1.6% (29 of 1,852)
5.5% (102 of 1,852)
1.2% (22 of 1,852)
All ACE Visitors
2.1% (45 of 2,162)
7.3% (157 of 2,162)
2.7% (58 of 2,162)
All Control Visitors
9.0% (249 of 2,776)
6.1% (168 of 2,776)
1.5% (41 of 2,776)
4

Reference

Definitions and notes on the data.

Definitions

Conversion Rate (Single-Session)
Visitors who converted during the same visit in which they viewed the page ÷ unique visitors.
Conversion Rate (Multi-Session)
Visitors who converted in any session during the period, whether on the visit when they viewed the page or a later one ÷ unique visitors. It includes single-session converters.
Did Personalize
ACE visitors who picked any persona, each counted once.
Didn’t Personalize
All ACE visitors minus those who picked a persona.
Conversion Types
Post Your Listing (Gated), Post Your Listing (Ungated), and Contact Sales. A visitor can convert on more than one type.

About the Data

  • All ACE and Control visitors from Jun 30 to Oct 18, 2026, across V1 and V2.
  • Persona rows count a visitor who switched personas under each persona they picked, so they add to more than Did Personalize.
  • Didn’t Personalize is calculated by subtracting persona pickers from all ACE visitors, for both single-session and multi-session conversion.
  • Every row is compared with all Control visitors, since the Control page has no persona option. “small sample” marks groups under 100 visitors.

The Library ACE Answers From

ACE builds every answer from Zillow’s own articles. Three in four were posted by August 2020, and the average article is 7.8 years old. The most-cited article, landlord resources from the COVID-19 period, is cited because it gives a general overview of Zillow’s virtual tools; no newer general guide has been published since.

Average Article Age

7.8 years

Since original post date

Posted by August 2020

75%

Three in four articles

Posted Since March 2023

10%

One in ten articles

Articles by Post Date

Share of the article library ACE draws on, by original post date

Before May 2015
10% of articles
May 2015 – Jul 2017
15% of articles
Jul 2017 – Aug 2020
50% of articles
Aug 2020 – Mar 2023
15% of articles
Mar 2023 – May 2026
10% of articles
Scroll for the articles ACE cites most
2

What ACE Cites

The Zillow articles ACE links to in its answers.

Most-Cited Articles

ACE’s answers most often cite Zillow’s landlord resources, listing guide, and customer stories. Citations are the times ACE linked an article in an answer, Jun 30 – Oct 18.

3

Reference

Notes on the data.

About This Data

  • Content age comes from Knotch’s analysis of the article library ACE draws on, by each article’s original post date.
  • Citations are summed from ACE’s weekly reports, which list each week’s ten most-cited articles per persona. Articles outside a week’s top ten are not counted for that week, so close counts can shift slightly.