- FarEye
- - Case Study
Full-Funnel SEO & AI-Search Transformation Across Global Markets
Company Profile
FarEye is a global SaaS platform that helps large enterprises optimize last-mile delivery, intelligent routing, and end-to-end logistics orchestration at scale. The platform is built for complex, high-volume supply chain environments, enabling organizations to improve delivery speed, visibility, and operational efficiency across regions.
FarEye’s buyers are senior, cross-functional decision-makers—enterprise supply chain leaders, logistics and operations VPs, digital transformation heads, and CIO-adjacent stakeholders—who evaluate multi-product platforms with long sales cycles, multiple internal evaluators, and stringent technical and integration requirements.
The Business Challenge
When FarEye engaged us, SEO was not contributing meaningfully to revenue.
From a leadership perspective, the core problems were clear:
- Organic traffic was low and non-predictable
- Inbound leads from SEO were negligible and low quality
- Content failed to speak to enterprise decision-makers
- The site lacked topical authority in critical last-mile categories
- Pages were optimized for keywords, not for buying committees
- Visibility in AI-powered search experiences was virtually non-existent
Despite having a strong product, FarEye was invisible where modern B2B buyers research — Google, AI answers, and comparative evaluation journeys.
The mandate from leadership was not “rank more keywords” —
It was:
“Turn SEO into a scalable, global demand engine that attracts qualified enterprise buyers.”
Target Audience & Buying Context
FarEye’s ICP is not a single persona. It’s a multi-stakeholder buying committee, including:
- VP / Head of Logistics
- VP Supply Chain & Operations
- CTO / Digital Transformation Leaders
- Enterprise Procurement Teams
Each stakeholder searches differently:
- Strategic problems (“last mile delivery challenges”)
- Commercial evaluations (“last mile delivery software”)
- Feature validation (“routing optimization”, “delivery orchestration”)
- Risk & scale questions (“enterprise logistics automation”)
SEO had to map to this entire journey, not just top-of-funnel traffic.
Competitive Landscape
This was one of the most competitive SaaS categories:
- Global logistics platforms with massive budgets
- Regional incumbents dominating local SERPs
- Feature-level competitors ranking with shallow pages
- New-age SaaS companies publishing aggressively
On top of this:
- Search intent varied heavily by region (US, UK, APAC)
- Buyers used AI tools and Google SGE for early research
- Traditional keyword SEO alone was no longer sufficient
Winning required authority, depth, and machine-readable clarity.
Strategy: From Keyword SEO to Search + AI Authority
We repositioned SEO as a full-funnel growth system, not a channel.
1. Deep Competitive & Market Intelligence
We reverse-engineered how the world’s strongest domain authorities structure:
- Mapped global + regional competitors at keyword, page, and entity level
- Identified high-intent gaps competitors ranked for weakly
- Analyzed which competitors were appearing in AI-generated answers
This allowed us to prioritize where SEO could win fastest AND compound long-term.
3. Scaled Content With Enterprise Context
We scaled 300+ pages with strict quality control:
- BOFU pages targeting commercial & solution-ready intent
- MOFU content addressing evaluation, comparison, and ROI questions
- TOFU assets educating buyers early without diluting product relevance
- User Adoption
Every page was written to:
- Speak to enterprise pain points
- Reflect real buying objections
- Align with AI answer extraction patterns
No generic blog content. Every asset had a job in the funnel.
5. Ranking Highly Competitive Head Terms
Using our 7-Step Semantic SEO Framework, we ranked FarEye for extremely competitive terms like:
- “Last mile delivery”
- “Last mile delivery software”
- “Delivery management platform”
These are keywords most SaaS companies never win — because they require authority, not hacks.
2. Semantic & Entity-Driven SEO Foundation
Instead of chasing keywords, we implemented a Semantic SEO architecture:
- Defined FarEye as an entity in Google & AI systems:
- Built topical clusters around each core capability
- Interlinked content to reflect real buyer mental models
- Evergreen structures that support new pages without rework
This is critical for LLMs, which reward:
- Conceptual depth
- Clear entity relationships
- Consistent terminology across the site
4. AI / LLM Optimization Layer (Critical Differentiator)
Beyond traditional SEO, we optimized FarEye for AI-driven discovery:
- Structured content to be LLM-friendly (clear definitions, comparisons, use-cases)
- Strengthened entity consistency across product, blog, and solution pages
- Improved citation eligibility for AI answers (authoritative tone, depth, internal corroboration)
Built pages that answered:
- “What is…”
- “How does…”
- “Best software for…”
- “Difference between…”
- “What is…”
This ensured FarEye appeared not just in rankings, but in:
- Google SGE
- AI summaries
Chat-based research workflows used by executives
6. High-Risk Domain Migration (Handled Without Traffic Loss)
FarEye migrated from getfareye.com → fareye.com — a move that often destroys SEO.
- Planned migration at URL, entity, and internal-link level
- Preserved topical authority signals
- Accelerated trust transfer to the new domain
Result: Rankings stabilized quickly and then grew further within 5–6 months.
Business Results (What Leadership Cares About)
Growth Metrics
- Organic traffic: 2,000 → 40,000+ sessions/month
- Qualified inbound leads: 2–5/month → 100+ / month
- Leads generated across North America, UK, and APAC
Strategic Outcomes
- SEO became a reliable pipeline contributor
- Reduced dependence on paid acquisition
- Strong visibility across traditional search + AI search
- Compounding returns across multiple product lines
Most importantly:
- SEO shifted from a “marketing activity” to a long-term growth asset.
Why This Worked (Executive Summary)
This was successful because we didn’t treat SEO as:
- Content production
- Keyword rankings
- Blog traffic
We treated it as:
- Market positioning
- Buyer journey ownership
- Search + AI discoverability
- Revenue-aligned demand generation
For B2B SaaS leaders, this is the difference between:
- SEO as a cost center
- SEO as a defensible growth engine