#1
3 category queries · from #11
[Vertical SaaS] is a logistics platform for mid-market freight operations. Their product was best in class. The problem was that the buyer Googled "freight management software," and a competitor with a worse product was the top result.
Their previous content agency had produced 60+ blog posts over two years aimed at SEO. None of them ranked in the top 20 for the queries that mattered. The brief was generic listicle content. The buyer wasn't reading any of it.
When we ran the audit we found two structural problems. The competitor's authority came from trade-publication backlinks they'd earned in 2017. And the content the incumbent had ranked first for was answering the wrong question. They were targeting "best freight software." The buyer was searching "how to switch freight management providers."
"We'd given up on SEO. TG3's audit told us we'd been targeting the wrong queries the whole time."
We didn't add 30 blog posts. We wrote three editorial pieces and earned the backlinks the incumbent had stopped earning. The math is in the methodology.
Deindexed and redirected the 47 posts the buyer wasn't reading. Kept 13 that had earned any organic traffic. You can't write your way out of a thin-content problem.
Two weeks of sales-call transcripts revealed the three actual buyer questions. "How to switch providers." "Cost of freight management software." "Migration timeline." None had been in their content plan.
Each pillar 6,000 to 9,000 words. Original interviews with logistics ops leads. Calculator tools embedded. Pieces a competitor couldn't reproduce in a weekend.
Trade publication pitches. Three calculator embeds on logistics newsletters. One feature in a category podcast that drove backlinks from listener-syndicated outlets.
Existing 13 kept posts re-linked to point at the three pillars. Schema rebuilt across the site. Page experience fixes shipped to engineering in week three.
By month four the first pillar passed the incumbent. By month nine all three pillars held the top spot. By month eleven two pillars showed up in Google AI Overview citations on the category query.
| Lever | Before | After | What moved it |
|---|---|---|---|
| Rank on primary query | 11 | 1 | Pillar piece + 31 trade pub links |
| Rank on secondary queries | 14, 17 | 2, 3 | Topic cluster build (28 supporting pieces) |
| Organic demos weekly | 6 | 47 | Pillar pieces converting comparison-stage buyers |
| AI citation share | 0% | 23% | AEO content rebuild + structured data |
| DR (domain rating) | 24 | 41 | Trade publication link velocity |
| Branded query volume | 180/mo | 1,400/mo | Editorial reach into category buyers |
No engagement leaves clean. Three things we'd do differently next time.
Vertical SaaS marketing is the discipline of competing inside a single industry where buyers know each other, talk to each other and trust word-of-mouth more than any paid channel. The vertical SaaS marketing playbook that worked here is not the same one that works for a horizontal B2B SaaS or a DevTools company.
Three differences shaped this engagement. First, vertical SaaS buyers research using industry-specific publications more than Google. We placed editorial in the top three trade publications inside 90 days, which built the link velocity that moved the SERP. Second, the category's three highest-intent queries had been dominated by an incumbent for a decade. We did not try to outrank them on broad terms. We picked the comparison-stage queries where their content was weakest and went deep. Third, AI search citations matter for vertical SaaS because industry buyers use Perplexity and Claude to compare options without leaving their browser tab. Two of our pillar pieces now appear in AI Overviews for the category's primary buying-intent query.
The pillar-link-AI triangle is the vertical SaaS marketing model that beats the incumbent. Most agencies try to win on volume. We won on depth. See the SaaS content marketing methodology →
The client was a vertical SaaS targeting a single industry where the category incumbent had owned the search engine results page for a decade. The client ranked 11th on the three highest-intent queries. Previous agencies had built breadth without depth. Two years and $300K in content spend had moved nothing.
Twelve months from kickoff to rank 1 on all three target queries. First rank movement at month 4 (rank 11 to 7). First top-3 placement at month 8. Rank 1 on the primary query at month 11. AI Overview citations at month 9. The engagement was deliberately long because vertical SaaS link velocity compounds slowly.
This engagement ran the full SaaS marketing retainer at $9,500/month (above standard floor for content-heavy programs) plus editorial production budget of $4,200/month. Total client spend across 12 months was approximately $164,000. Pipeline generated from the three target queries in months 9 to 12 alone was $2.1M. Payback was inside the second quarter of compound effects.
Four of the seven services. SaaS content marketing (the primary lever, editorial pillars and trade publication placement). SaaS SEO (technical foundation, structured data, AI-ready content architecture). SaaS analytics (warehouse attribution to prove pipeline impact). SaaS lifecycle marketing (expansion sequences once new pipeline started landing).
Yes if the vertical has at least three high-intent queries with monthly search volume above 600 each and if the client has at least 12 months of patience and budget. Without those preconditions the playbook does not apply. The audit call tells you whether your vertical fits.
Yes in three ways. Vertical buyers research using industry publications more than Google. Link velocity from trade press moves the SERP faster than generic SEO. AI search citations matter more because vertical buyers stay in their browser and use AI tools to compare options.
Three calls we'd make sooner. First, identify the trade publications in week 1, not week 6. Second, ship the editorial pillars in months 1 to 3, not months 3 to 6. Third, start the AI citation work in month 2, not month 6. The corrections shave 3 to 4 months off the timeline.