How a Field-Service Software Company Added $10,000 in MRR and Quadrupled Organic Traffic in 90 days
A field-service software company had a capable product and an active blog, but its organic channel was flat and its site depended on direct traffic from people who already knew the brand. It had no measurable presence in AI search. Over the engagement, Tenpoint Labs re-architected the content program around high-intent, high-volume commercial queries the company's buyers were actually searching. Organic search sessions grew more than 4x, organic overtook direct to become the single largest traffic channel, and the company went from zero AI visibility to being recommended by every major AI assistant (ChatGPT, Gemini, and Claude) for its core product keywords. The compounding effect showed up in the numbers that matter to the business: within the first 90 days the company added $10,000 in new monthly recurring revenue and began generating organic demo requests for the first time in its history (both client-reported).
The Challenge
The company was publishing content, but the effort wasn't compounding into a growth channel.
- Direct-dependent traffic: The site's largest channel was direct: visitors who already knew the brand. Organic search, the channel that reaches new buyers, sat behind it and wasn't growing.
- No commercial-intent coverage: The blog covered adjacent topics but wasn't ranking for the high-value, high-intent queries where in-market buyers begin their search.
- Invisible in AI search: As buyers began asking assistants like ChatGPT for recommendations, the company had zero presence there, with no citations and no referral traffic.
The Approach
Tenpoint embedded with the team and rebuilt the content motion around measured search demand:
- Search-space mapping: Ingested the competitive set and the company's own analytics to find the commercial queries with real volume and weak incumbent coverage, the winnable gaps.
- High-intent content engineering: Rather than spreading effort thinly, Tenpoint concentrated on a small number of deeply-researched assets targeting the highest-value queries, each engineered to own its query cluster rather than skim it.
- Technical + on-page foundation: Cleaned up the site's search foundation so the new content could actually rank.
- AEO groundwork: Structured the flagship content to be quotable by AI assistants, opening a new discovery surface as buyer behavior shifted toward AI-mediated search.
The Results
The headline outcomes were commercial, not just traffic. Within the first 90 days, the company added $10,000 in new monthly recurring revenue and started generating organic demo requests for the first time in its history, turning organic search from a traffic source into a customer-acquisition channel. Both figures are client-reported (see the note below on why they are framed that way).
On the analytics side, comparing the pre-engagement baseline (Sep–Oct 2025) to the current window (May–Jun 2026), on first-party GA4 and GSC data:
- From 0 to 26 organic demos by day 120 of working with Tenpoint Labs.
- Organic search sessions grew 408%, from 1,526 to 7,755 across matched two-month windows.
- Organic became the #1 channel, rising from 33% to 62% of all site traffic and overtaking direct.
- 1.26M organic impressions in the trailing 90 days (GSC), at an average position of 6.2.
- From zero AI visibility to recommended across every platform: Within 90 days the company went from no presence in AI search to being recommended by every major AI assistant (ChatGPT, Gemini, and Claude) for its core product keywords. That showed up in the analytics as the site's first-ever AI-assistant referral traffic, zero to 23 sessions over the window (ChatGPT 14, Gemini 6, Claude 3).
- Engagement held as volume scaled: organic engagement rate rose from 31.9% to 38.4% over a 6 month period. The growth wasn't junk traffic.
