Property Management Industry Research · Fall 2026 Update

Published by Goodjuju Marketing · First published June 1, 2026 · Updated October 2026 · Study moderator: Landon Murie

We Re-Ran Our Property Management Lead Study. AI Leads Are Growing Faster and Google Analytics Can't See Most Of Them.

Spring vs. fall 2026 · the same 35 lead-tracked PM companies in both windows · 2,525 owner leads · 294,281 website visitors

50.6%
of owner leads still come from Google Search & the Map Pack
2.1%→3.4%
AI tools' share of owner leads, spring to fall
3.2×
how much better AI visitors convert than Google organic visitors
Scroll to read the full study
The Short Version

What Changed Between Spring and Fall

  1. Google is still the main event. Google Search and the Map Pack produced 50.6% of owner leads this fall, compared with 51.8% in spring. Add Direct / Maps and Google's local ecosystem accounts for 86.2% of every owner lead we measured, versus 85.4% in spring.
  2. AI's share of owner leads grew by more than half, from 2.1% to 3.4%. Its share of website traffic rose only slightly, from 0.7% to 0.8%. AI wins a bigger share of leads than of traffic because the visitors it sends convert so well.
  3. AI visitors now convert at 3.2× the rate of Google organic visitors, up from 2.6× in spring. Volume is still small, but per visitor nothing else we measured comes close.
  4. Google Analytics misses a lot of AI leads. On our own website, GA4 credited 7 leads to AI tools between May and early October. Checking what leads told us and what our forms recorded, the real number is at least 13.
  5. We got one thing wrong in spring. We counted GA4's "(data not available)" bucket as AI traffic. It produced no owner leads in either window, so this time we report it separately.
Context

Why We Ran It Again

When we published the spring study, we said we'd repeat it as the AI conversation developed. Since then the volume has only gone up: more "GEO" vendors, more warnings that ChatGPT is about to replace Google, and still very little property management lead data underneath any of it.

So we pulled the numbers again. Same GA4 report as before, the same companies in both windows so the comparison is like-for-like, and stricter rules for what counts as a lead. This time we pulled the data straight from Google's API instead of from screenshots.

We also added two things the spring study didn't have: a hard look at how badly AI traffic gets mis-attributed, and a practical guide to tracking lead sources so you can see more of it in your own business.

A note on our position: we're a property management SEO agency, so we have an interest in Google staying important. We don't sell "GEO" as a separate service. Our clients and our own site still show up well in AI answers, because most of what AI tools reward is the same work that ranks you in Google: a strong website, real reviews, and consistent information about your business across the web. Hold us to the methodology. All of it is below.

Read This First

AI Lead Attribution Might Be the Worst Tracking Problem in Online Marketing

Every number in this study comes from Google Analytics 4. It's the standard tool, and it's what nearly every property management company and marketing agency uses to decide what's working.

When it comes to AI, GA4 can't see most of what's happening, and the reasons are built into how it works. Before you read a single percentage below, it's worth knowing what they are.

01
The Google hand-off
ChatGPT recommends your company. The owner opens a new tab, searches your name and clicks your Google listing. GA4 records a Google visit. The AI did the recommending, and Google gets the credit.
02
People don't click
AI answers often include your name, phone number and a summary right in the chat. Plenty of owners call or email without ever visiting your site. There's no visit for GA4 to measure.
03
Missing referrers
AI apps on phones and desktops, links copied out of a chat, and some browsers don't pass along where the visitor came from. Those visits land in "Direct" with no trace of AI.
04
The mystery bucket
GA4 labels some traffic "(data not available)." In spring we assumed it was mostly AI. This fall it produced zero leads across our clients and our own site, so it isn't what we thought.
05
The Map Pack in disguise
Clicks from your Google Business Profile show up as plain "google / organic" unless you tag the link. Most PM companies haven't, so the most important lead source in this industry never appears as its own line.
06
Phantom and double leads
Click-to-call taps counted as leads, form events that fire twice, tenant maintenance forms mixed in with owner inquiries. We had to fix lead counting account by account just to get a clean number.

We Checked Our Own Leads to Measure the Gap

Our own inbox is the one we can check, so we did. Our first email to every new lead asks "How did you hear about Goodjuju?", and our website forms record where a visitor came from when they submit. Between May and early October, GA4 credited 7 leads to AI tools. Matching month by month against what leads told us and what our forms recorded, at least 5 more AI leads never appeared as AI in GA4.

13+
This is very likely a significant undercount
AI leads we can account for since May. GA4 showed 7. 5 leads told us in writing that an AI tool sent them, naming ChatGPT, Claude and Gemini. Our forms recorded 5 more arriving straight from ChatGPT, Claude or Perplexity. At least 5 of them never showed up as AI in GA4. That's one company that asks every lead. Most don't ask at all.
“It was either Grok or FB”
A new lead, answering "How did you hear about us?"
“gemini (AI) recommended your company”
A new lead, answering "How did you hear about us?"
“Claude AI”
A new lead, answering "How did you hear about us?"
“Gemini referred :-)”
A new lead, answering "How did you hear about us?"
“I found you through Claude (Anthropic's AI assistant).”
A new lead, answering "How did you hear about us?"

Read every AI number on this page as a floor. When we could trace the source ourselves, GA4 missed roughly 4 in 10 AI leads. For companies that never ask how a lead found them, the gap is probably wider.

Finding #1

Google Still Owns Property Management Leads

50.6%
of owner leads came from Google Search & the Map Pack this fall 639 of 1,262 leads · 35 companies · spring: 51.8%

AI didn't take a bite out of Google this year. Google Search and the Map Pack produced 50.6% of owner leads in the fall window, compared with 51.8% in spring. Its share held steady, and with Direct / Maps added, Google's local ecosystem accounted for 86.2% of owner leads.

For a property owner, the Map Pack is still where the search starts and usually where it ends: search "property management [city]," see three companies, call or click one.

Share of owner leads by channel, spring vs. fall
Same 35 lead-tracked companies in both windows · 1,263 spring leads, 1,262 fall leads · full numbers in the data table
Spring (Feb 26 – May 26)Fall (Jul 8 – Oct 5)
Google Search & Map Pack combines organic results and Google Business Profile clicks, which GA4 can't separate unless the profile's website link is tagged (see the guide).
Finding #2

Direct / Maps Is Big, Mixed, and Partly AI in Disguise

35.6%
of owner leads came through Direct / Maps this fall 45.0% of traffic · conversion rate 0.7% vs. 1.2% for Google Search · spring share: 33.6%

Direct is where GA4 puts any visit it can't trace: the website button on a Google Business Profile, returning visitors, owners logging into their portal, people typing your URL after a referral, and, as covered above, a share of visits from AI tools that arrived without a referrer.

That mix is why it brings in 45.0% of traffic but a smaller share of leads. It's also why "Direct" is better read as "unknown" than as a channel you can invest in.

Google Search & Map Pack
1.2%
Owners actively searching for a property manager
Direct / Maps
0.7%
Mixed intent: clients, vendors, applicants, untraced visits
Finding #3: The AI Question

AI: Still Small, a Growing Share, and the Best Conversion Rate We Measured

2.1%→3.4%
AI tools' share of owner leads, spring to fall 27 → 43 leads · the same 35 companies · traffic share 0.7% → 0.8%

This is the change worth paying attention to. Visits from AI tools stayed a small slice of traffic, around 0.8% of visitors. But AI's share of owner leads grew by more than half, and it punches far above its traffic because the visitors AI sends convert unusually well.

Conversion rate by channel, spring vs. fall
Owner leads (people) ÷ visitors, lead-tracked companies only · fall average 0.9%
SpringFall
AI's conversion rate rests on a small number of leads (43 in fall), so treat the exact figure as directional.

Someone who asks ChatGPT for the best property manager in their city and then clicks through has already had a recommendation conversation, so they show up pre-sold. In client data, the AI tools that sent leads this fall were ChatGPT (37), Gemini (5) and Perplexity (1). On our own site, leads also named Claude, Perplexity and Grok.

~15×
Google still delivered about 15 times more owner leads than every AI tool combined 639 leads from Google Search & the Map Pack vs. 43 from AI tools in the same window. Even if GA4 is missing half of AI's leads, Google is still the channel that pays the bills.

You don't have to choose between them. Google and AI tools reward the same work: a strong site, reviews, accurate listings and useful content. AI visitors just turn out to be worth more per click than most people expected. In spring we also found that ChatGPT's local answers lean on Yelp and Bing listings, so those deserve a few minutes of attention too.

Finding #4: A Correction

"(Data Not Available)" Isn't AI Traffic

0
owner leads from GA4's "(data not available)" bucket in the fall window 0.05% of traffic · 0 leads in spring · counted as AI in our spring study

In spring we followed common advice and counted "(data not available)" as anonymized AI traffic. Looking closer, it produced no owner leads in either window across our clients, and none on our own site, where it spiked at the same time we started running Facebook ads.

Whatever it is, it isn't behaving like AI traffic, so this update reports named AI tools on their own. That change matters most for conversion rates: lumping a zero-lead bucket in with AI made AI's conversion rate look lower than it is.

Finding #5

The Rest of the Mix: Social, Paid and Referral

Social media
0.8%
of owner leads from 4.3% of traffic. Still not a lead channel for property management.
Paid search
Only 6 of 35 companies ran ads
1.2%
of owner leads from 5.3% of traffic, converting at 0.2%. Read the note below before comparing this to your own ads.
Referral
3.7%
of owner leads from 3.0% of traffic. Directories and partner sites send pre-qualified visitors.

Read the paid search number with care. Only 6 of the 35 companies in this study ran paid search ads during the fall window (4 in spring), so this figure reflects just 6 companies' campaigns. It also counts only form leads on each company's main website. Campaigns that send clicks to separate landing pages, or that mostly drive phone calls, aren't fully captured here.

After the spring report, a few readers running strong paid campaigns told us their numbers look much better than this. They're probably right. Judge your ads by your own cost per lead, not by this line.

Social still earns its keep for brand, recruiting and staying in front of existing clients. It just isn't where owners go to choose a property manager. Across every channel, that's why we ask lead-source vendors for conversion data before we look at volume.

Full Data

The Complete Channel Breakdown

Click any column header to sort ↑↓
Spring · Feb 26 – May 26Fall · Jul 8 – Oct 5
Channel Traffic %Lead %CVR Traffic %Lead %CVR
Google Search & Map Pack 43.5%51.8%1.1% 37.9%50.6%1.2%
Direct / Maps 41.3%33.6%0.8% 45.0%35.6%0.7%
Referral 2.5%4.0%1.5% 3.0%3.7%1.1%
Other Search 3.7%5.9%1.5% 3.2%4.3%1.2%
Social Media 4.1%1.6%0.4% 4.3%0.8%0.2%
Paid Search* 3.7%0.9%0.2% 5.3%1.2%0.2%
AI tools (ChatGPT, Claude, Gemini…) 0.7%2.1%3.0% 0.8%3.4%3.9%
(data not available) 0.0%0.0%0.0% 0.1%0.0%0.0%
Other 0.4%0.2%0.4% 0.4%0.4%0.8%
All columns use the same 35 companies with clean lead tracking in both windows (134,220 spring visitors and 1,263 leads; 141,908 fall visitors and 1,262 leads). 5 more companies without reliable lead tracking appear in the appendix. CVR = owner form leads, counted as people, ÷ visitors. *Only 6 of the 35 companies ran paid search ads, so the Paid Search row reflects just 6 companies. Spring figures were re-pulled with this update's stricter method, so they differ from the numbers first published in June (see methodology).
Side note
Our Own Website

What We're Seeing on Our Own Site

We're a different kind of company. Our leads are property management companies, not rental property owners, so none of this is in the study totals. But if we're going to ask you to trust our numbers, it seems fair to show you our own, including the parts GA4 can't see.

gogoodjuju.comDec 2025 – Apr 2026May – Oct 7, 2026
Google organic visitors1,4831,217
Google organic leads26 (1.8%)38 (3.1%)
AI tool visitors3041
AI visits vs. Google organic2.0%3.4%
AI leads GA4 counted1 (3.3%)7 (17.1%)
AI conversion vs. Google organic1.9×5.5×
AI leads we can name210
AI leads, real minimum1–213+

Two things stand out. In the recent window, AI visitors converted at 5.5× the rate of Google organic visitors. And GA4 saw only part of it: the AI leads we can name outnumber the ones GA4 counted, and that's only the leads who answered the question.

A few honest caveats. We started running Facebook and Instagram ads in early 2026; they don't feed either of these two channels, but they do change our overall mix. We rebuilt parts of our site over the summer. And our lead tracking broke for about six weeks in late 2025, which is why the earlier window starts in December.

Every AI Lead We Can Name, 2026

  • 2/17 Grok (unsure) · told us in their first email
  • 2/28 ChatGPT · our form recorded the AI referral
  • 5/1 Gemini · told us in their first email
  • 5/5 ChatGPT · told us in their first email
  • 7/3 Claude · told us in their first email
  • 7/11 Gemini · told us in their first email
  • 7/21 Claude · our form recorded the AI referral
  • 7/29 Perplexity · our form recorded the AI referral
  • 8/27 ChatGPT · our form recorded the AI referral
  • 8/30 ChatGPT · our form recorded the AI referral
  • 9/24 Claude · told us in their first email
  • 10/7 ChatGPT · our form recorded the AI referral

How Visible We Are in AI Answers

We also track 30 prompts that matter to our business across six AI engines. As of the Oct 1, 2026 scan:

Prompts where we appear
25/30
visibility 42%, up 9 points from the previous scan
Share of voice
42%
vs. 26% average for the other agencies tracked
Average position
1.5
when we're mentioned, we're usually listed first or second
Visibility by AI engine
GoodjujuOther agencies tracked (average)
ChatGPT
27%
18%
Gemini
13%
21%
Google AI
26%
31%
Perplexity
43%
23%
Claude
57%
27%
Grok
83%
38%

The engines where we're most visible, Claude and Grok, are the same ones our leads keep naming. We don't do separate "GEO" work. This is what consistent SEO, content and reputation work produces.

The Guide

How to Actually Know Where Your Owner Leads Come From

You can't fix GA4's blind spots, but you can work around them.

This is the setup we recommend to property management companies, and the one we're rolling out for our own clients. Most of it takes an afternoon, and none of it requires new software.

1

Ask every lead how they first heard about you

Add a required dropdown to every owner lead form. The wording matters: ask how they first heard about you. Ask how they "found" you, and the owner who Googled your name after ChatGPT recommended you will answer "Google."

Name each AI tool separately; a single "AI" option gets picked less often. Don't pre-select anything, and give "Other" a text box.

2

Ask again in your first reply

Our first email to every new lead asks "How did you hear about us?" along with a few questions about their portfolio. Leads answer in a sentence, and that's where most of our AI answers came from. Log the answer in a CRM field that uses the same options as your form so you can count it later.

3

Save the referrer and UTM tags with every submission

Add hidden form fields for the page URL, the referrer, and the UTM tags (utm_source, utm_medium, utm_campaign, the tracking codes that ride along on some links), or check whether your CRM already records them (GoHighLevel does). ChatGPT adds utm_source=chatgpt.com to many of the links it shows, which is how our forms caught AI leads that GA4 credited elsewhere.

4

Tag your Google Business Profile link

Change the website link on your profile to your URL plus ?utm_source=google&utm_medium=organic&utm_campaign=gbp. Map Pack visits then show up as their own line instead of hiding inside organic search.

5

Count each lead once, and only real leads

Use one GA4 key event per owner form submission. Track phone calls separately instead of as form leads. Keep tenant forms (maintenance, applications, payments) out of your lead count, and give owner forms their own thank-you page so you can always fall back on it.

6

Add an "AI assistants" channel in GA4

In GA4, go to Admin → Data display → Channel groups and create a custom group. Add a channel above Referral where Source matches this regex:

chatgpt|openai|claude|anthropic|gemini|bard|perplexity|copilot|grok|meta\.ai|you\.com

Then read it alongside the First user source / medium report, which is the one this study uses.

7

Treat "Direct" and "(data not available)" as unknown

Both are where GA4 puts visits it can't explain, including many AI visits. Read them as unknown, and don't cut or boost a budget because of what happens there.

8

Reconcile once a month

Put three sources side by side: what GA4 says, what leads told you, and what your forms recorded. When they disagree, the lead's own answer is usually the best guide to how they discovered you, and GA4 is usually the best guide to their last click.

9

Track AI visibility directly

Pick 20 to 30 prompts owners actually ask, like "best property management company in [city]" or "property manager for single-family rentals in [city]," and check them monthly across ChatGPT, Gemini, Claude, Perplexity, Grok and Google's AI results. Visibility doesn't depend on clicks, so it catches what GA4 misses. We use Local Dominator for this, and there are dozens of other AI visibility trackers that do the same job. Keep your Yelp and Bing listings current while you're at it.

The one-afternoon checklist

  • Required "How did you first hear about us?" field, AI tools named
  • Same question in your first reply, logged in your CRM
  • Hidden fields for referrer, page URL and UTM tags
  • UTM-tagged Google Business Profile link
  • One key event per owner form, calls tracked separately
  • Tenant forms out of the lead count
  • "AI assistants" channel group in GA4
  • Monthly three-way reconciliation
  • Monthly AI visibility check on 20–30 prompts
  • Yelp and Bing listings current
Implications

What This Means for Property Management Marketing Heading Into 2027

Keep Google first
Google Search and the Map Pack are still 50.6% of owner leads. Your Google Business Profile, reviews and local SEO remain the highest-return work in your marketing.
Fix your tracking before you move budget
If you can't say where your last 20 owner leads came from, you can't judge any channel, AI included. The guide above is the starting point.
Earn AI visibility the same way you earn Google
AI visitors convert at 3.2× the rate of Google organic visitors. You get there with a strong site, reviews and consistent listings, the same work that ranks you in Google, plus a look at Yelp and Bing.
Be skeptical of AI traffic screenshots
Anyone selling "AI visibility" with GA4 charts is showing you the same blind spot this study describes. Ask how they measure leads, not just visits.
Judge every lead source by conversion data
Social media is still 0.8% of owner leads. Paid search can't be judged from this study, since only 6 of 35 companies ran ads; judge yours by your own cost per lead. Before you sign with any vendor, ask for conversion rates, not just volume. Our lead source comparison goes deeper.
WindowsSpring: February 26 – May 26, 2026. Fall: July 8 – October 5, 2026. 90 days each. Spring and early fall are different seasons for property management, so treat small shifts with caution.
Companies40 property management companies that are current Goodjuju clients, either for SEO and content or for website management. Every share and rate on this page uses the 35 with clean lead tracking, so traffic, leads and conversion rates describe the same websites. The same companies are used in both windows. The rest appear in the appendix.
Data sourceEach company's GA4 property, pulled through the Google Analytics Data API using the First user source / medium dimension, the same view as the spring study. It credits the first visit that brought someone to the site.
What counts as a leadOwner lead form submissions only, counted as unique people rather than event fires. For each company we used its GA4 lead event where it was reliable and its owner thank-you page otherwise. Phone calls, click-to-call taps and tenant forms (maintenance, accounting, applications) are excluded.
AI toolschatgpt.com, claude.ai, gemini.google.com, perplexity.ai, copilot.com / Bing Copilot, grok.com, meta.ai and you.com. GA4's "(data not available)" is reported separately.
Changes from JuneThe June version reported Google at 54.1% of leads, AI at 1.6% and an AI conversion rate of 3.7% across 25 lead-tracked companies. It counted lead events rather than people and included "(data not available)" as AI. Spring numbers on this page were re-pulled with the new method so spring and fall compare fairly. Compare the two windows on this page, not across versions.
Conversion ratesRates here run lower than June's because we count people instead of event fires and apply stricter lead rules. Compare channels with each other rather than with June's figures.
Paid searchOnly 6 of the 35 lead-tracked companies ran paid search during the fall window (4 in spring), counting a company once it had at least 100 paid visitors. Landing pages outside each company's main website and phone calls from ads aren't captured, so the paid figures are not a benchmark for paid search.
ExclusionsFormer clients, tenant portal sites, PPC landing-page properties and duplicate GA4 properties. One company's fall traffic was inflated by a burst of bot visits in August (direct visits jumped from about 1,000 a month to 23,700). We removed the spam sources and estimated its real direct traffic from its own spring ratio of direct to Google organic visitors; its leads are counted exactly as recorded. Companies without form lead tracking (several track phone calls only) appear in the appendix as traffic only.
Channel rulesGoogle Business Profile links tagged with UTMs (for example "organic / gmb") count as Google Search & Map Pack. Zillow and AdRoll ad traffic counts as paid. Sources named after an AI tool count as AI even without a ".com".
Our own siteThe gogoodjuju.com side note uses our own GA4 property plus lead answers from our CRM and form submission records. It isn't part of the study totals.
BiasEvery company here works with an SEO agency, so these sites are likely stronger in Google and in AI answers than the average PM company. Results may not generalize to the whole industry.
About This Research

Who We Are, and How to Reach Us

This research was conducted and published by Goodjuju Marketing, a marketing agency that works only with property management companies across the United States: websites, local SEO, reputation, content and ads.

We publish this because the industry deserves better data than it gets. We have an obvious interest in the results, and if you see a problem with how we did this, we want to hear it.

If you'd like to know what your own numbers say, or whether your tracking would hold up to this kind of check, we're open to a conversation.

Appendix

Account-Level Data

Every company in the study, anonymized. Visitors are all GA4 users; leads are owner form leads counted as people. "–" means the company has no reliable lead tracking and counts toward traffic only.

SpringFall
AccountLead trackingVisitorsLeadsVisitorsLeadsAI leads
Account 01Owner thank-you page 15,394116 18,450770
Account 02GA4 lead event 9,49998 12,644865
Account 03GA4 lead event 12,828137 10,8691525
Account 04GA4 lead event 8,22323 9,803280
Account 05GA4 lead event 5,51737 7,285212
Account 06GA4 lead event 6,22337 6,798533
Account 07Owner thank-you page 6,94561 6,597793
Account 08GA4 lead event 4,01584 5,549785
Account 09GA4 lead event 5,52681 5,2441020
Account 10GA4 lead event 3,95821 4,770240
Account 11GA4 lead event 4,10326 4,215201
Account 12GA4 lead event 3,55024 4,010220
Account 13GA4 lead event 4,72433 3,875260
Account 14GA4 lead event 4,67874 3,763742
Account 15Owner thank-you page 3,06216 3,50940
Account 16GA4 lead event 4,62831 3,507201
Account 17GA4 lead event 2,59113 2,911161
Account 18GA4 lead event 2,58117 2,783120
Account 19Traffic only 2,032– 2,499––
Account 20GA4 lead event 3,15017 2,45630
Account 21GA4 lead event 2,32844 2,406590
Account 22Traffic only 1,538– 2,295––
Account 23GA4 lead event 1,85016 2,115140
Account 24Traffic only 1,241– 2,042––
Account 25GA4 lead event 1,99810 2,023181
Account 26GA4 lead event 2,37628 2,002272
Account 27Traffic only 1,715– 1,950––
Account 28GA4 lead event 1,53115 1,803244
Account 29Owner thank-you page 1,40350 1,766551
Account 30Traffic only 1,129– 1,712––
Account 31Owner thank-you page 1,5293 1,596111
Account 32GA4 lead event 2,00032 1,503340
Account 33Owner thank-you page 1,28626 1,205200
Account 34Owner thank-you page 1,10611 1,110141
Account 35GA4 lead event 1,16035 1,091312
Account 36Owner thank-you page 1,0628 1,058171
Account 37GA4 lead event 1,24711 1,038130
Account 38GA4 lead event 96712 91190
Account 39GA4 lead event 6182 66330
Account 40GA4 lead event 56414 580162