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Teardown: how a category leader got named 62% of the time

An anonymized look at the exact content, authority, and site-setup moves a category leader used to get to 62% mention rate in under 12 months.

11 min read

This is a teardown of a real engagement, anonymized at the client's request. The category is a mid-market B2B SaaS segment with six well-funded competitors. Twelve months ago, our client was named in 14% of tracked answers. Today, they're at 62%. Here is what actually moved the number.

14% → 62%
Named in AI answers
12 mo
Time to result
84
Pieces of content shipped
11
Third-party placements

The first 90 days: foundations

We started with a full scan, a tracked question set (182 questions), and a 90-day calendar. The first 90 days were 80% about foundations: claim and rebuild the G2 and Capterra listings, ship schema and structured-data fixes across the main site, and write 18 help-doc articles covering the top category-level questions.

Mention rate moved from 14% to 19% in those 90 days. Modest, but foundational — the compounding we were about to see depended on this layer being clean.

Days 91–180: content engine

We shifted to content volume. Two comparison pages per month (one head-to-head, one three-way). Four long-form answer pieces. A weekly help-doc. An expert-led Reddit cadence from the founder. A monthly industry-publication placement.

By day 180, mention rate was at 37%. The help-doc and comparison-page investments were driving most of the lift; the third-party placements were still in ramp.

Days 181–365: compounding

Everything we'd shipped in months 1–6 started compounding. Reddit activity was cited by AI more often. The comparison pages started getting quoted in answers. Two podcast appearances turned into a dozen downstream citations. By day 365, mention rate was at 62%.

What worked that we didn't expect

  • A single, highly-detailed "Brand X vs. Brand Y" comparison ended up cited in 8 different AI answers independent of the brand comparison context.
  • The founder's 2 AMA-style Reddit threads have been cited in AI answers for 10+ months now.
  • Help-doc content for features nobody thought to document publicly drove more mentions than the feature pages themselves.
  • A single industry-publication placement quoted verbatim in Perplexity answers for 6 straight months.

What didn't work

  • A YouTube series we produced for 3 months. Video didn't move the needle in this category — we killed it and redeployed the budget to Reddit and help docs.
  • A round of thought-leadership-style blog posts from a ghostwriter. Well-written, zero extraction, zero citation. Replaced with answer-first help docs.
  • A guest-post campaign on low-trust publications. Wasted effort.

What's next

The client is now focused on category defense — staying ahead of the competitors who started this investment six months after them. Our working hypothesis: category-leader status compounds for another 12–18 months before the gap tightens again.

What's next

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