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title: Case Study 1
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Case Study

# How an HOA management platform built search authority across an entire category.

 Over 14 months, this HOA management platform used Pillar-Based Marketing to build a deep, durable search presence across traditional rankings and AI-powered search results.

[See What Pillarbase Could Find](https://www.pillarbase.ai/client-pillar-request?hsLang=en)

Client type

### An HOA management platform

 The client needed to become visible across a wide HOA software landscape: payments, websites, accounting, bookkeeping, finance, policy, voting, reserve reports, comparisons, and emerging AI-related topics.

## Quick Wins

48

Active topic pillars

2,082

Page-one rankings

6,952

Total rankings across pages 1–3

27.6%

AI query citation rate

The challenge

## They were not trying to win one keyword. They needed to own the conversation.

 HOA management software is not a single-topic market. Buyers search across payments, websites, mobile apps, accounting, finance, voting, reserve reports, policy questions, comparisons, and operational problems.

### Build the full topic map

 Instead of chasing isolated blogs, Pillarbase helped organize the market into a portfolio of topic pillars that covered the full buyer journey.

### Publish, measure, expand

 Early pillars established the foundation. New pillars then launched faster because they benefited from the authority already created by the earlier content.

### Win traditional and AI search

 The strategy did not stop at Google rankings. It also measured whether AI-powered search systems were citing the client when answering relevant questions.

The strategy

## A compounding pillar system, not a one-off content push.

 The most important part of this case study is the pattern: early pillars built authority, then new pillars started launching from a stronger baseline.

1

### Start with foundational categories

 The first wave focused on core HOA software topics like payments, software, websites, and mobile app searches.

2

### Expand into adjacent buyer problems

 Once the core pillars gained traction, the strategy expanded into accounting, bookkeeping, finance, loans, voting, policy, reserve reports, and governance topics.

3

### Cover high-intent comparison searches

 The platform then targeted comparison and review-style categories where buyers were actively evaluating HOA software options.

4

### Move into emerging categories early

 Newer pillars, including AI-related HOA topics, positioned the client ahead of competitors in categories that are still developing.

The proof

## Four examples show how the system compounded.

 The full report includes dozens of pillars. These examples make the pattern easier to see.

Core category

### HOA payments

 Grew from 47 total rankings in the first run to 502 total rankings, with 139 on page one.

**968%** increase in total rankings

Competitive category

### HOA software

 Became the most-cited domain in AI search for HOA software queries, ahead of larger competitors.

**47.2%** AI query citation rate

Fast expansion

### HOA accounting

 Launched later in the campaign and grew from 4 rankings to 372 total rankings in under five months.

**372** total rankings

New category

### HOA document storage

 Reached 114 rankings and a 16.6% AI citation rate in its first full measurement cycle.

**114** rankings in the first cycle

Why it matters now

## The client did not just gain rankings. They built an AI search moat.

 Across tracked AI Mode data, the client was cited in thousands of AI-generated responses. In core categories like HOA software, HOA websites, and HOA payments, AI systems cited the client at rates above 44%.

**6,696** AI queries where the client appeared

**16,585** client citations in the latest measurement cycle

**7** pillars above a 35% AI citation rate

The takeaway

## What this means for agencies and their clients.

### Pillarbase makes the strategy visible

 Instead of guessing what content to create, the team could see the market, organize the topics, and build a clear roadmap.

### Ryan’s process turns content into a system

 The result was not a random collection of blogs. It was a structured authority engine built around pillars, sub-pillars, and related buyer questions.

### The advantage compounded over time

 New pillars started gaining traction faster because the earlier pillars had already strengthened the domain’s authority.

### The strategy prepared them for AI search

 As AI tools become part of how buyers research software, the client is already being cited across high-value questions.

Ready to find your client’s pillar opportunity?

## See what a pillar-based strategy could uncover for one of your clients.

 Pillarbase helps agencies find the topics, structure the strategy, generate the content, track performance, and optimize over time. 

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