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Teardown

Teardown: when the smaller brand wins the answer

How a 40-person challenger took share in AI answers from a 4,000-person incumbent — without outspending them.

10 min read

The assumption that "big brand wins" doesn't hold as cleanly in AI answers as it did in SEO. Models lean on specificity, not size. This teardown is how a ~40-person challenger in a crowded B2B category took a meaningful share of the default answer away from a 4,000-person incumbent in 9 months.

The starting line

At the start of the engagement, the incumbent was named in 71% of tracked answers. Our client was at 6%. The incumbent had a 30-person marketing team. We had us.

What the incumbent was doing wrong

  • Heavy PR-voice blog with no named author or specific technical detail.
  • Stale G2 listing that hadn't been touched in 2 years.
  • No help-doc investment. Documentation was hidden behind a login.
  • Reddit presence was essentially a brand-run account that had been downvoted into oblivion.
  • Technical AEO: schema missing, duplicate canonical tags on key pages.

What we did

  1. Wrote the 20 "Brand X vs. Incumbent" comparisons the incumbent refused to write. Honest, detailed, with tables of capability differences.
  2. Took help docs public. Rewrote the top 35 into answer-first pieces.
  3. Got the founder (former product engineer at the incumbent, incidentally) into 6 podcasts in the first 3 months.
  4. Rebuilt the G2 listing from scratch. Got to 40 recent reviews in 90 days.
  5. Built a real, signed, named-expert presence on Reddit. No corporate account. Just real people.
  6. Fixed the technical basics.

The curve

6% → 41%
Named in AI answers
9 months
71% → 58%
Incumbent share
same period
$0
Paid media budget
in engagement
9 mo
Time to result

By month 9, the client was named in 41% of answers. The incumbent was at 58% — still ahead, but the gap had meaningfully closed. More importantly, the client was now named alongside the incumbent in most of the high-intent category queries, not just the niche ones.

Why this worked

The incumbent had stopped doing the work. Enormous marketing team, but the output was beige. Our client was specific, recent, and honest. For AI, that's what actually matters.

The takeaway for smaller brands

  • Pick the 20 comparisons your incumbent refuses to write. Write them honestly. Publish them under your own brand.
  • Put your most credible experts in front of AI-facing surfaces: podcasts, Reddit, specialty publications.
  • Take your help docs public. The incumbent probably hasn't.
  • Invest in directory listings and reviews. They still compound disproportionately.
  • Don't try to out-spend the incumbent. Out-specify them.
What's next

See where your brand actually stands in AI answers.

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