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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.

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.

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