Aqua Lakeshore East
MULTI-FAMILY
Connecting neighborhood content, search visibility, and measurable AI referral traffic for a Chicago apartment community.
MORE WAYS TO DISCOVER AQUA.
Aqua Lakeshore East recorded 287 identifiable AI-referred sessions from July through October 2026. Alongside that emerging referral footprint, Google Search clicks rose 17%, and Google Business Profile website clicks increased 45% when comparing November 2025 with October 2026. GTMA connected local lifestyle content with search and AI visibility measurement to show how discovery was developing across channels.
287
AI-referred sessions
July–October 2026
+17%
Google Search clicks
Nov. 2025 vs. Oct. 2026
+45%
GBP website clicks
Nov. 2025 vs. Oct. 2026
57
Mentions in AI Search
AI search visibility snapshot
Client Snapshot
| Client Overview | |
|---|---|
| Community | Aqua Lakeshore East |
| Market | Lakeshore East, Chicago, Illinois |
| Industry | Multifamily Residential |
| Strategy Focus | Local lifestyle content, renter-focused Q&A, search and AI visibility reporting |
| Measurement Tools | GA4, Google Search Console, Google Business Profile, EvernodeAI, Semrush |
THE CHALLENGE
Make the neighborhood part of the discovery story.
Choosing an apartment means choosing the everyday experience around it. For Aqua, that includes the dining, destinations, and neighborhood conveniences of Lakeshore East. The opportunity was to communicate that context through useful content, then measure how the community appeared across traditional search and AI-assisted discovery.
GOAL:
Connect relevant neighborhood information with a clearer view of search visibility, local engagement, and identifiable AI referral activity.
THE STRATEGY
1
Give Local Lifestyle Content a Purpose
GTMA developed neighborhood and lifestyle articles covering Chicago attractions, architecture, dining, fitness, nearby universities, pet-friendly living, and working from home. Eleven published articles from February through May 2025 gave the community a range of locally relevant topics to share.
2
Answer Specific Neighborhood Questions
For example, GTMA created local question-and-answer content that addresses restaurants near Aqua, their distance from the property, and nearby dining options. This approach gives readers practical information in a format that reflects conversational questions.
3
Measure Visibility and Visits Separately
GTMA used EvernodeAI and other AI Search performance tools to assess AI visibility, alongside GA4 reporting that identified sessions from ChatGPT, Gemini, and Copilot. Search Console and Google Business Profile added context about search clicks and local engagement.
The Results:
Traditional Search Results
Aqua SEO results show more search clicks and local engagement.
Aqua earned more Google Search clicks even as impressions declined slightly. Click-through rate rose from 6.14% to 7.56%, and average position improved from 11.27 to 7.72. Local engagement also strengthened, with 1,242 Google Business Profile website clicks at the October endpoint.
| Metric | Nov. 2025 | Oct. 2026 | Change |
|---|---|---|---|
| Google Search impressions | 28,701 | 27,183 | −5.3% |
| Google Search clicks | 1,761 | 2,054 | +16.6% |
| Search click-through rate | 6.14% | 7.56% | +1.42 pp |
| Average search position | 11.27 | 7.72 | Improved |
| Organic engaged sessions | 2,191 | 2,301 | +5.0% |
| Google Business Profile interactions | 2,569 | 3,397 | +32.2% |
| Google Business Profile website clicks | 857 | 1,242 | +44.9% |
Impressions declined 5.3%, while clicks and click-through rate increased. Average position improved. Sources: Google Search Console, GA4, and Google Business Profile. Comparisons reflect individual monthly endpoints and do not isolate the effect of one tactic. pp = percentage points. A lower average search position indicates improvement.
AI Discovery
Aqua SEO results show more search clicks and local engagement.
From July through October 2026, GA4 identified 287 sessions from recognizable ChatGPT, Gemini, and Copilot source/medium labels. Of those, 203 were engaged sessions. ChatGPT accounted for 273 sessions, Gemini for 11, and Copilot for 3.
| Month in 2026 | Sessions | Engaged sessions |
|---|---|---|
| July | 52 | 43 |
| August | 114 | 71 |
| September | 51 | 32 |
| October | 70 | 57 |
| Total | 287 | 203 |
Source: GA4 source/medium reporting, July–October 2026. These figures represent identifiable AI-associated sources and do not capture every AI-influenced visit. Engaged sessions are not confirmed inquiries or leases.
AI Visibility Snapshot
| Measure | Reported value |
|---|---|
| EvernodeAI AI SEO Score | 71 / 100 |
| Platform scores |
Google AI Mode 60
ChatGPT 54
Perplexity 88
|
| AI Search Visibility | 19 |
| AI Search mentions | 57 |
| AI Search cited pages | 16 |
Sources: EvernodeAI and Semrush. AI visibility values are reporting snapshots rather than measured increases over time. Scores and mentions describe the monitored prompts and platforms; they are not percentages of renters reached or leasing outcomes.
The Bottom Line
Measure the Whole Discovery Picture
Aqua shows why one metric cannot tell the whole search story. Lower impressions coincided with more clicks and stronger local website activity, while AI referrals added another measurable source of visits. For multifamily marketers, the useful question is how visibility connects with engagement across the channels renters use.
Neighborhood relevance gives the community a specific story to tell.
Connected measurement helps show where that story is being discovered.
Build a Clearer Picture of Your Community's Search Performance.
GTMA connects multifamily content strategy, local search, and AI visibility measurement around the way renters discover communities. Let's talk about your property's search presence and what to measure next.