This study has two editions

Original studySpring 2026 · 31 companies · published June 1 Fall 2026 update35 companies · spring vs. fall

You're reading the original study as it was published on June 1, 2026. Its numbers haven't changed. See the fall update with 35 companies

Property Management Industry Research

Published by Goodjuju Marketing · June 1, 2026 · Study Moderator: Landon Murie

We Analyzed 115,676 Property Management Website Visits. Here's Exactly Where Owner Leads Come From.

Spring 2026 · 31 PM companies · 90 days · 1,975 converted leads

88.4%

of owner leads from Google's search & maps ecosystem

1.6%

of owner leads from AI / LLM sources, small, but understated

3.7%

LLM conversion rate, highest of any channel we measured

Scroll to read the full study

Key Findings, Click to Jump

Google Maps/Search = 54.1% of leads Direct/Maps: 1.7% CVR vs 2.7% Google LLM: 3.7% CVR, ~34× less volume than Google Social = 0.8% of leads despite 2.7% of traffic What to do about it →

Video Overview

Context

Why We Did This Study

Property management companies face a real, practical marketing question: where should I put my time and money?

The industry is getting louder about AI search. Vendors are selling "GEO" (Generative Engine Optimization) services. Coaches are telling PM owners that if they're not building their presence in ChatGPT right now, they'll miss the boat. And some of that advice has merit, AI search is growing, it's measurable, and it's not going away.

But here's the problem: almost nobody in this conversation is looking at actual conversion data. Traffic numbers are interesting. Lead numbers are what pay the bills.

We work with property management companies every day on SEO and digital marketing. We have the data. So we ran it. Our initial plan with this study was to include a larger number of companies like 50 or 75, but the more companies we added, the numbers just didn't change. We kept adding new data but nothing was changing in the overall stats so we stopped early.

A note on our position: Goodjuju Marketing is a property management SEO agency. We have an obvious interest in SEO remaining important. But, even thought we do not work on "GEO" or "AI search" optimization, our clients proved to be doing well in LLMs. This is because "GEO" is a somewhat made up term which is mostly rooted in doing SEO properly. We've tried to be rigorous about the methodology precisely because of that, and we'd encourage you to scrutinize it. The full methodology is below. We also verified that our client companies appear in ChatGPT results for their local markets, so the comparison holds up to the obvious counterargument.

Before You Read

Methodology Notes

All data was collected directly from each property management company's GA4 (Google Analytics 4) account.
The specific GA4 report used was Reports → User Attribution → First User Source / Medium, which tracks how a user first arrived at the website, not their most recent visit.
Data is from the last 90 days, what's happening now, not a year ago.
"Leads" are completed lead form submissions, not necessarily qualified leads. No calls
LLM visibility was spot-checked on 10 of 31 accounts to verify companies actually appear in ChatGPT results and 9 of 10 did.
Data comes from Goodjuju clients, who likely have better-than-average SEO and LLM visibility. Results may not generalize to the broader PM market.
LLM attribution is knowingly understated — some AI-assisted visits land as direct or unattributed traffic — but it's currently impossible to know by how much. This article does a good job explaining how and why.

The Study: What We Measured and How

31 companies · 115,676 visits · 1,975 leads · 90 days · GA4 first-touch attribution

↓

31 property management companies across the United States, all running active digital marketing campaigns, over a 90-day window (February 26 – May 26, 2026).

Date range	February 26 – May 26, 2026 (90-day snapshot)
Sample	31 active property management companies across the U.S., all running SEO campaigns managed by Goodjuju Marketing
Total visits	115,676 across all 31 accounts
Lead data	1,975 converted owner leads tracked across 25 accounts with standardized, verified conversion tracking. The remaining 6 accounts are included in traffic benchmarks but excluded from lead analysis due to call-tracking inflation or missing key event configuration.
Attribution	GA4 first-touch attribution, "First user source / medium" export. Assigns full credit to the first session that brought a visitor to the site.
Exclusions	Rows representing offline event imports, call tracking data imports, and phone-call-as-key-event configurations were excluded to ensure web-only lead integrity.
Map Pack note	Google Business Profile Map Pack clicks register as google / organic in GA4 when GBP links don't carry UTM parameters, common across the PM industry. "Google Search & Map Pack" reflects this combined organic + Map Pack attribution.
LLM sources	chatgpt.com, claude.ai, gemini.google.com, perplexity.ai, copilot.com, bing.com (Copilot), you.com, and GA4's "(data not available)" attribution for anonymized LLM referrals
ChatGPT check	Standardized prompt ("What are the best property management companies in [city]?") in fresh chat sessions. Spot-checked 10 of 31 accounts; 9 of 10 appeared in ChatGPT's top 6.
Raw data	Screenshots of GA4 source/medium reports for each account are included in the appendix below. Client names have been removed or obscured.
Data correction	May 2026: Lead counts for three accounts (Revid, Westrom, Midtowne) were recalculated using thank-you page visits only, replacing initial key event counts that included call-tracking events. This reduced the total lead count from an initial 2,462 to 1,975 and is reflected in all figures on this page.

Finding #1

Google Still Owns Property Management Leads: By a Landslide

54.1%

of all converted owner leads came from Google Search & the Map Pack 1,068 leads out of 1,975 total · 25 accounts with standardized conversion tracking

Let's start with the number that matters most. Google Search & Map Pack, meaning Google organic search results plus Google Business Profile clicks from the Map Pack, accounted for 54.1% of all converted owner leads across our 25 clean accounts. That's 1,068 leads out of 1,975 total.

Direct / Maps, direct traffic plus GBP website button clicks, accounted for another 34.3%, or 678 leads.

Add those together and you get 88.4% of all owner leads coming from Google's local ecosystem. That number hasn't changed meaningfully from what we've seen in prior periods. If anything, it's gotten slightly more concentrated. The Map Pack specifically has become the dominant entry point for property owner research, they search for PM companies in their city, they see the three-pack, they click.

Lead Source Breakdown: Where Owner Leads Come From

Share of total converted leads by channel · 25 accounts with standardized conversion tracking · 1,975 total leads

*Google Search & Map Pack includes both traditional organic results and Google Business Profile Map Pack clicks. Without UTM parameters on GBP links, standard across the PM industry, Map Pack clicks register as google/organic in GA4. Hover a segment to see lead counts.

What "Google Search & Map Pack" Actually Means in GA4

When a property owner clicks on a Google Business Profile listing in the Map Pack and lands on your website, GA4 records that visit as google / organic, the same attribution as a traditional organic search click, unless you've added UTM parameters to your GBP website link. Most PM companies haven't done this. But, this user acquisition report in GA4 doesn't include the differentiation and lumps them into one.

What we can say is this: for property management specifically, the Map Pack is almost certainly the majority of that traffic. PM is a local service business. When people search "property manager [city]," the Map Pack appears above everything else. If you're not in the top 3, you're functionally invisible for the most high-intent local searches.

UTM parameters on your GBP website link are worth adding, they'll let you see Map Pack traffic as a distinct source in GA4 rather than lumped in with organic search. It's one of the easiest data upgrades a PM company can make.

Finding #2

Direct / Maps Traffic Converts Differently Than You'd Expect

34.3%

of all leads came through Direct / Maps, at a lower conversion rate than Google Search 42.1% of traffic but only 34.3% of leads · CVR: 1.7% vs. Google's 2.7%

The second-largest channel, Direct / Maps at 34.3% of leads, is interesting because of how it over- and under-indexes relative to traffic. Direct/Maps accounts for 42.1% of total traffic across all 31 accounts, but only 34.3% of leads.

There's a logical reason for this. Direct traffic includes a lot of repeat visitors, existing clients checking their portal, vendors, job applicants, people Googling the company name directly after seeing a yard sign or hearing a referral. Some of these visits are warm prospective leads, but many are not. The Map Pack visitor, by contrast, is almost always actively searching for a property manager right now.

Google Search & Map Pack

2.7%

High-intent visitors actively searching for PM services right now

Direct / Maps

1.7%

Mixed intent, includes returning clients, vendors, job applicants

The practical implication: your GBP ranking matters enormously, but so does what happens when someone lands on your site. The conversion gap between these two channels is largely a function of intent, not site quality, which means even well-designed sites can't fully close the gap by design alone.

Finding #3: The AI Question

The LLM Reality Check

This is where the study gets most interesting for the current conversation. AI-referred traffic, from ChatGPT, Gemini, Perplexity, Claude, Copilot, and similar platforms, accounted for 0.9% of all website visits and 1.6% of all converted leads across our dataset. Those numbers are small. But there are two things worth understanding about them.

LLM Visitors Convert at the Highest Rate of Any Channel

3.7%

conversion rate from LLM / AI traffic, higher than every other channel measured vs. 2.7% Google Search, 2.5% Referral, 1.7% Direct, 1.7% Paid, 0.6% Social

Conversion Rate by Channel: Sorted Descending

Percentage of channel visitors who submitted a lead form or triggered a key conversion event · dashed line = overall average (2.2%)

LLM visitors arrive pre-vetted through an AI recommendation conversation, higher trust, higher intent upon arrival. Low volume limits absolute impact despite the high rate.

This isn't surprising once you think about it. Someone who asks ChatGPT "what are the best property management companies in Austin?" and then clicks through to a specific company's website has already been through a recommendation step. The AI has, in effect, pre-sold them. They arrive with more context, more trust, and higher intent than a cold Google searcher.

So AI traffic is high-quality. It's just not high-volume, not yet, and not for PM.

~34×

Google delivers ~34× more visitors than all LLM platforms combined Google: 44.3% of all traffic. LLM sources: 0.9%. In absolute terms: 1,068 leads from Google Search & Map Pack vs. 31 leads from every LLM platform combined, in the same 90-day window. An hour spent on ChatGPT optimization is an hour not spent on the channel driving 34× more leads.

What About Companies That Don't Rank in ChatGPT?

A fair objection: maybe the comparison isn't apples-to-apples, these companies might rank in Google but not appear in ChatGPT at all. We verified directly. Using the prompt "What are the best property management companies in [city]?" in fresh ChatGPT sessions, we spot-checked 10 of our 31 accounts. 9 of 10 appeared in ChatGPT's top 6 results.

✓

Oceanside

CA · #1

✓

Chattanooga

TN · #4

✓

Round Rock

TX · #2

✓

Toledo

OH · #1

✓

Manteca

CA · #1

✓

Athens

GA · #2

✓

Honolulu

HI · #5

✓

Long Beach

CA · #5/#6

✓

Long Beach

CA · #5

✗

Mesa

AZ · Not found

So the comparison holds: these are companies that exist in ChatGPT's results and still get only 1.6% of their leads from LLM sources. The ~34-to-1 ratio versus Google isn't a visibility artifact, it's the actual state of lead flow right now.

Three Ways ChatGPT Fell Apart for Local PM Search

In running this verification, we documented three recurring failure modes worth understanding for any LLM visibility strategy.

City Name Conflicts

ChatGPT returned results for a different city with a similar name in a different state, confidently and incorrectly. Multiple follow-up prompts were needed to correct it. Google would have used location signals immediately.

Market Substitution

For a client in Littleton, CO, ChatGPT acknowledged the market was small and "helpfully" substituted Denver results instead. A property owner looking for local Littleton management was served Denver companies.

Limited Inventory

Google returned 14+ local PM companies for one city. ChatGPT returned 7. The missing companies weren't invisible online, they simply weren't well-represented in the data sources ChatGPT draws from for local lists.

The Yelp and Bing Problem

That third failure mode points to something worth flagging explicitly: ChatGPT's local search results, including its new map feature, are primarily powered by Yelp and Bing data, not Google's local index.

This matters enormously for property management. Yelp is a platform the PM industry has a complicated, often hostile, relationship with, it's dominated by tenant reviews rather than owner reviews, and most PM companies have put minimal effort into their Yelp profiles. Bing's local data is a fraction of Google's in depth and freshness. Plus, you can't even see how many reviews they have or read any reviews.

The result: ChatGPT's view of the local property management landscape is built on the two data sources property managers trust and invest in the least. A company with 200 Google reviews, a fully optimized GBP, and a dominant Map Pack presence may barely exist in ChatGPT's world if they haven't built a Bing and/or Yelp presence, not because ChatGPT is bad at search, but because it's working with different inputs. This is a major gap, and as hard as they keep trying, they have not been able to replicate the Google "map pack" experience that people prefer. Google's long history of business profiles with their data and reviews gives them a huge advantage. It's hard to see anyone providing a something better.

The Attribution Gap: LLM's Real Number Is likely 2-4x Higher, But Still Not Close

Our 1.6% lead figure is almost certainly an undercount, for two reasons. First, some LLM-referred traffic lands in GA4 as "direct" rather than as a named LLM source, because not all AI platforms pass referrer data cleanly.

Second, and more importantly, GA4's first-touch attribution can't capture the assisted conversion pattern that LLM search likely drives: a property owner researches on ChatGPT, doesn't click through, then hops over and searches Google and converts. That journey shows up in our data as a Google lead. The LLM's role as a discovery and trust-building layer never gets counted. There's nothing we can do about this due to LLMs' awful tracking/attribution currently available.

So take the 1.6% as a floor, not a ceiling. The real influence of AI search on PM leads is probably somewhat higher. But even if you double or triple it, the conclusion doesn't change. Google's 88.4% figure would need to fall dramatically, and LLM's figure would need to multiply by 30, for the strategic calculus to shift. We're not there. We may eventually get there. We're not there now.

Finding #4

Social Media Is Not a Lead Channel for Property Management

0.8%

of converted leads came from social media across all 31 accounts 2.7% of all traffic → 0.8% of leads · CVR: 0.6% · 15 total leads in 90 days

This finding is the least surprising in the study, but it's worth stating plainly because the marketing noise around social media in the PM space is still significant. Across all 31 accounts, social media, Facebook, Instagram, LinkedIn, TikTok, and everything else, accounted for 2.7% of total traffic and 0.8% of converted leads.

None of this means social media has zero value for PM companies. It has real value for brand awareness, reputation management, recruiting, and staying visible to existing clients. But if you're spending significant time and money on social media hoping to generate owner leads, the data says that's probably not the right place for that investment.

The 0.6% conversion rate from social tells the story clearly: social media visitors are not coming to your site to become your next management client. They're browsing. Google visitors are buying.

Finding #5

Paid Search Is a Small but Active Part of the Mix

Note: Only a handful of our 31 accounts were running paid FB ads during this window, which explains the relatively low traffic share, 1.4% of total visits. For the accounts running paid, the conversion rate was 1.7%, lower than organic Google (2.7%) and lower than the overall average (2.2%).

This is consistent with what we see more broadly: paid search for PM tends to attract higher-funnel visitors who are still shopping, not the bottom-of-funnel intent that comes from someone clicking a top-3 Map Pack result. Paid (PPC and FB) can absolutely work for PM lead generation, but it rarely outperforms a strong organic and GBP presence on a cost-per-lead basis.

Finding #6

Referral Traffic Punches Above Its Weight

Referral traffic, visits from other websites linking to yours, accounted for 5.1% of traffic and 6.0% of leads, converting at 2.5%. It slightly over-indexes for leads relative to traffic, which makes sense: referral visitors come with an implicit endorsement from whatever site sent them.

For PM companies, the most valuable referral sources tend to be industry directories (propertymanagement.com, Expertise.com, property management trade associations), partner sites, and local business listings. These don't drive huge volume, but the leads they deliver are pre-qualified. Worth building over time as a complement to your core Google strategy.

Full Data

The Complete Channel Breakdown

Click any column header to sort ↑↓

Channel	Traffic %	Lead %	Conversion Rate
Google Search & Map Pack	44.3%	54.1% ▲	2.7%
Direct / Maps	42.1%	34.3% ▼	1.7%
Referral	5.1%	6.0%	2.5%
Other Search	3.2%	2.0%	1.4%
Social Media	2.7%	0.8% ▼	0.6%
Paid Ads	1.4%	1.3%	1.7%
LLM / AI Search ⚡ Highest CVR	0.9%	1.6% ▲	3.7%

Traffic % = all 31 accounts (115,676 visits). Lead % = 25 clean accounts with standardized conversion tracking (1,975 leads). CVR = lead form submissions / channel visits. The difference in account counts between traffic and lead analysis reflects 6 excluded accounts with unreliable conversion tracking.

Implications

What This Means for Property Management Marketing in 2026

📍

Double down on Google Business Profile and Map Pack rankings

If 54% of your leads come from Google Search and the Map Pack at 2.7% CVR, the ROI on GBP optimization beats almost anything else you can do. Keep your profile complete and current, build reviews actively, publish regular GBP posts, and ensure your primary categories and service areas are right. Add UTM parameters to your GBP website link to separate Map Pack traffic in GA4.

🔍

Invest in local SEO for the long term

Map Pack rankings don't happen by accident. They're driven by website quality, technical SEO, local citation consistency, backlinks, and domain authority, plus GBP-specific factors like review velocity and local relevance signals. The companies in this study that dominate their local Map Packs all have strong underlying SEO.

🤖

Build LLM visibility as a complement, not a replacement

The 3.7% CVR from LLM traffic is a genuine signal worth cultivating. The good news: what makes you visible in ChatGPT and Perplexity is largely the same as what helps you rank in Google, authoritative content, strong reviews, consistent NAP data. One exception worth noting: ChatGPT's local results draw from Yelp and Bing, not Google. A basic Yelp profile cleanup may be the highest-leverage AI visibility action a PM company can take right now.

📱

Stop investing in social media for owner lead generation

If you're posting on Instagram three times a week hoping to get owner leads, this data says your time is better spent elsewhere. Keep a presence for brand reasons if it makes sense for your market, but don't confuse social media activity with lead generation. They're fundamentally different things for PM.

💰

Be skeptical of paid lead sources without seeing conversion rate data

Every lead source looks appealing in a pitch deck. What matters is what converts. The channels delivering the best CVR in our data, Google Search & Map Pack, Referral, LLM, are all pull channels, where the prospect comes to you with existing intent. Push channels (paid social) tend to convert at much lower rates for PM specifically. Before signing with any lead source vendor, ask for CVR data, not just lead volume. If they won't share it, that's your answer.

Want the summary version?

Download the one-page PDF summary, key stats, the full data table, and what to do next. Print it, share it, or bring it to your next marketing review.

Download the PM Lead Source Report PDF →

For the full study, methodology, and all data: you're already here.

About This Study

About This Research

This research was conducted and published by Goodjuju Marketing, a property management SEO and marketing agency. We work exclusively with property management companies across the United States, helping them grow by improving their websites, local SEO, online reputation, and digital advertising.

We published this study because we believe the PM industry deserves better data than it currently has when making marketing decisions. We have an obvious interest in the results, we're an SEO agency and SEO came out looking good here. If you spot a methodological problem with what we've done, we genuinely want to hear about it.

Questions, critiques, or want to discuss your own data?
Reach us at landon@gogoodjuju.com or visit gogoodjuju.com.

Appendix, Raw Data & Verification Evidence

Screenshots of GA4 source/medium reports and ChatGPT verification sessions for accounts in the study. Client company names have been removed or obscured. Internal reference IDs used throughout.

ChatGPT Visibility Verification

Prompt: "What are the best property management companies in [City]?", fresh chat session, no login, no prior context

✓ AppearsOceanside, CA · Position #1

✓ AppearsChattanooga, TN · Position #4

✓ AppearsRound Rock, TX · Position #2

✓ AppearsToledo, OH · Position #1

✓ AppearsManteca, CA · Position #1

✓ AppearsAthens, GA · Position #2

✓ AppearsHonolulu, HI · Position #5

✓ AppearsLong Beach, CA · Position #6

✓ AppearsLong Beach, CA · Position #5

✗

Not in ChatGPT
Top Results

✗ Not foundMesa, AZ · Limited Yelp/Bing presence

Note on ChatGPT's local data sources: ChatGPT's local search results (including its map feature) draw primarily from Yelp and Bing, not Google's local index. Companies with thin Yelp profiles may not appear in ChatGPT results regardless of their Google Map Pack ranking. This is a known and important distinction for PM companies investing in LLM visibility.

GA4 Source / Medium Reports

First user source/medium export · 90-day window · Client names obscured

All 31 accounts shown below. Each screenshot shows the raw GA4 "User acquisition: First user source/medium" report used to generate this study's figures. Client names have been removed or obscured.

Account 01 · GA4 Export

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Account 31 · GA4 Export

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Property Management Industry Research · Fall 2026 Update

Name: Property Management Website Lead Source Data — Spring 2026
Creator: Goodjuju Marketing
Published: 2026-05-27
License: https://creativecommons.org/licenses/by/4.0/
Keywords: property management, lead generation, GA4, attribution, Google Maps, AI search, LLM, conversion rate, digital marketing

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

Key findings, click to jump

Google = 50.6% of owner leads AI share of leads: 2.1% → 3.4% AI converts at 3.2× Google organic GA4 missed ~4 in 10 AI leads we could trace How to track this properly →

The Short Version

What Changed Between Spring and Fall

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.
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.
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.
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.
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.

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.

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.

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.

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.

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.

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”