Skip to content
Aeologic AI

Terrafirm · E-commerce & D2C

How a D2C outdoor brand went from 11K to 64K monthly sessions in 90 days

Published 11 March 2026Updated 2 July 2026
increase in non-brand organic sessions

82x

increase in non-brand organic sessions

monthly organic sessions

11K → 64K

monthly organic sessions

articles published per month, up from 4

42

articles published per month, up from 4

of new revenue attributed to organic

31%

of new revenue attributed to organic

The challenge

Terrafirm sold well through paid social, but customer acquisition cost had climbed for six straight quarters. Their 2,400 product pages carried manufacturer-supplied copy duplicated across a dozen retailers, and their category pages ranked below the marketplaces that resold them. Two marketers were producing four blog posts a month, and none of it was ranking.

What we did

  1. 01

    Audit first, publish second

    The content audit returned a verdict on all 2,400 URLs. Just over a third were flagged for removal or merge — near-duplicate product variants generating no traffic and diluting the category signal. Fixing index bloat came before writing a single new word.

  2. 02

    Category pages rebuilt as buying guides

    The eighteen highest-value category pages were rewritten to carry genuine buying-guide depth above the product grid: how to choose, what the specifications actually mean, and honest comparison against the alternatives. Conversion rate did not drop; it rose four per cent.

  3. 03

    Product copy regenerated at catalogue scale

    The Content Engine generated specification-grounded, unique descriptions for every remaining SKU, with Product and Offer schema applied through the template. Duplicate-content overlap fell from 71% to under 4%.

  4. 04

    Buying-guide content aimed at AI answers

    Sixty 'best X for Y' articles were structured answer-first with explicit comparison tables — the format models quote most readily when a shopper asks for a recommendation.

The outcome

Non-brand organic sessions grew from roughly 11,000 to just over 64,000 within ninety days of the category rebuild going live. Aeologic's visibility tracking recorded Terrafirm appearing in 44% of tracked product-recommendation prompts by month four, up from 3% at baseline. Paid spend was reduced by 22% without a fall in total revenue.

We went from four blog posts a month to forty-two, and the category pages finally started outranking the marketplaces reselling us. The AI visibility work was the part I didn't expect to matter — it's now a third of our discovery.

Rahul MehtaFounder, Terrafirm

See what the models say about you.

Run a free visibility baseline across seven AI engines. No card, no call, results in about twenty minutes.

7-day trial · No card required · Cancel anytime