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How Mavlers took a 14-location real estate brand from page six to page one in eleven months

Project Overview

Organization

Confidential (multi-location real estate company; identity withheld for confidentiality)

Industry

Real Estate, Multi-Location

Scope

Google Analytics 4, Google Search Console, Semrush, Moz

Buyers served

14 locations, each competing in its own local market

Comparison window

August 2025 to June 2026 (eleven months)

Products / Services Used

  • Local SEO
  • Google Business Profile Optimization
  • Citation & NAP Management
  • Content Strategy
  • On-Page & Technical SEO
  • Link Building
  • GEO / AI Search Visibility

In real estate, discovery is local: buyers and sellers search by neighborhood, and every one of the client's 14 locations competes in its own local market. In August 2025, that footprint was a liability rather than an asset. Local visibility was fragmented, listing data was inconsistent, and no content strategy existed to attract organic demand. The client came to Mavlers to turn 14 disconnected local presences into one compounding organic channel, built to win in both traditional and AI-driven search.

Performance Insights

Key results for the client

+207%

Top-3 keywords (68 to 209)

56.4 → 8.7

Avg. position, page six to page one

+40.1%

GSC clicks (3,716 to 5,206/month)

+153%

AI citations (223 to 565)

Client Objectives

The problems the business actually had

1.
Fragmented local presence

14 locations with inconsistent Google Business Profile optimization, incomplete categories, missing attributes, and outdated information across listings.

2.
NAP inconsistencies undermining trust

Name, address, and phone details varied across directories and citation sources, weakening local trust signals for search engines and clients alike.

3.
No content engine

No active blog or publishing cadence, leaving high-intent informational and long-tail real estate queries entirely uncaptured.

4.
Thin keyword footprint, buried rankings

A reasonable baseline (Domain Authority 40, 831 referring domains) but only 68 top-3 keywords and an average position of 56.4, deep on page six where clicks do not happen.

5.
No footing in AI-driven search

As discovery shifts toward AI-generated answers, the site lacked the structured-data and content foundation needed to earn citations from generative AI engines.

Mavlers Strategy

How we built a compounding organic channel

1.
GBP optimization across all 14 locations

Audited and fully optimized every listing, including categories, attributes, services, descriptions, photos, Q&A, and review workflows, aligned to high-intent local queries.

2.
NAP consistency and citation management

Standardized name, address, and phone details across major citation sources and aggregators, resolved conflicts, and built new citations on high-authority local and industry directories.

3.
Blog content strategy and launch

Launched a search-intent-driven blog covering informational real estate queries, neighborhood guides, market insights, and buyer/seller education, built to capture long-tail traffic.

4.
On-page SEO and technical foundation

Comprehensive technical and on-page work across titles, metas, header hierarchy, internal linking, schema markup, and page speed, so every page could rank for a wider keyword set and be machine-readable for AI engines.

5.
Authority building and link acquisition

Sustained backlink acquisition on niche-relevant, high-authority real estate and local domains, growing referring domains 40% (831 to 1,167) and lifting Domain Authority from 40 to 42.

Results

What the client achieved

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AI visibility and citations

The content and structured-data work also paid off in the emerging AI search landscape. Between January and June 2026, AI citations more than doubled, with the site increasingly referenced by generative AI engines across search and conversational platforms.

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Why this matters: discovery is shifting from traditional search results to AI-generated answers. Being cited inside those answers keeps the client visible as behavior moves toward AI-driven search surfaces, a competitive advantage most real estate competitors have not yet secured.

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The insights

Why it worked

  1. Local trust first- Optimizing 14 GBP locations and fixing NAP inconsistencies established the local trust foundation every subsequent tactic compounded upon.
  2. Content as a growth lever - The blog filled a critical gap, capturing informational queries and neighborhood-specific long-tail traffic competitors were already winning.
  3. Authority to compete - A 40% increase in referring domains and a Domain Authority lift from 40 to 42 unlocked positions previously out of reach for competitive real estate terms.
  4. Position momentum - Moving average ranking from position 56 to position 9 took pages from invisible to click-earning territory, creating a compounding traffic loop.

Sandra Field

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