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.
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
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.
Active topic pillars
Page-one rankings
Total rankings across pages 1–3
AI query citation rate
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.
Instead of chasing isolated blogs, Pillarbase helped organize the market into a portfolio of topic pillars that covered the full buyer journey.
Early pillars established the foundation. New pillars then launched faster because they benefited from the authority already created by the earlier content.
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 most important part of this case study is the pattern: early pillars built authority, then new pillars started launching from a stronger baseline.
The first wave focused on core HOA software topics like payments, software, websites, and mobile app searches.
Once the core pillars gained traction, the strategy expanded into accounting, bookkeeping, finance, loans, voting, policy, reserve reports, and governance topics.
The platform then targeted comparison and review-style categories where buyers were actively evaluating HOA software options.
Newer pillars, including AI-related HOA topics, positioned the client ahead of competitors in categories that are still developing.
The full report includes dozens of pillars. These examples make the pattern easier to see.
Grew from 47 total rankings in the first run to 502 total rankings, with 139 on page one.
Became the most-cited domain in AI search for HOA software queries, ahead of larger competitors.
Launched later in the campaign and grew from 4 rankings to 372 total rankings in under five months.
Reached 114 rankings and a 16.6% AI citation rate in its first full measurement cycle.
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%.
Instead of guessing what content to create, the team could see the market, organize the topics, and build a clear roadmap.
The result was not a random collection of blogs. It was a structured authority engine built around pillars, sub-pillars, and related buyer questions.
New pillars started gaining traction faster because the earlier pillars had already strengthened the domain’s authority.
As AI tools become part of how buyers research software, the client is already being cited across high-value questions.
Pillarbase helps agencies find the topics, structure the strategy, generate the content, track performance, and optimize over time.