Client: B2B SaaS Brand in AI-Powered Sales Enablement

Industry: Sales Automation / B2B SaaS

Project: 15-Day SEO Sprint Using AREP Methodology

Role: Led SEO audit, keyword strategy, site architecture planning, and revenue modeling

Goal: Increase organic traffic, generate MQLs, and accelerate path to $1M ARR
 

🧭 Objective

Boost organic lead generation via high-intent commercial keywords

Fix rendering/indexation issues limiting discoverability

Build topical authority in outbound automation & sales tech

Support ARR growth through long-term, content-led acquisition
 

🔍 Phase 1: Audit – Technical SEO & Indexation Review

Tools Used: Screaming Frog, GSC, Ahrefs, Framer platform insights

Key Issues Identified:

⚙️ Client-Side Rendering (CSR): Pages rendered using Framer’s CSR, blocking content from bots. Recommendation: Enable pre-rendering via Prerender.io or Framer settings.

🔁 Duplicate Pages: Multiple legacy home/blog pages live (e.g. /old/home, /blogs_featured/), diluting equity and confusing bots.

❌ Duplicate Metadata: All blog pages share the same meta title and description. No H1s present across articles.

🧭 Flat Site Architecture: Lack of siloed structure limits thematic depth. Recommendation: Introduce landing pages by features, industries, and use cases.

🗺️ Sitemap Pollution: Sitemap includes outdated, duplicate pages. Needs cleanup to prioritize high-value URLs.

📉 Missing Schema: No structured data implemented. Added recommendations for Breadcrumb, BlogPosting, and Organization schema.
 

📊 Phase 2: Research – Keyword Gaps & Competitive Benchmarking

Competitor Set: Outreach.io, Clay, Instantly, HeyReach, Smartlead, Aisdr

Keyword Mapping:

TOFU (Informational):

“how to use AI for sales prospecting”

“AI SDR meaning”

MOFU (Discovery):

“best sales automation tools”

“AI sales outreach software”

BOFU (Transactional):

“buy AI SDR tool”

“automated cold outreach platform”

Focused on long-tail, underserved queries based on use cases (e.g. “AI for recruiting”), industries (e.g. “AI sales tools for real estate”), and features (“email warm-up AI”).

⚙️ Phase 3: Execution Plan

🔧 Technical SEO

Enable pre-rendering for all landing pages

Remove outdated/duplicate pages from sitemap and index

Implement schema markup across all major templates

Clean up metadata (unique titles + H1s) across blog posts

✍️ Content Strategy

Landing Pages: Create pages by:

Use Case: “AI for outbound recruiting”, “AI for lead scoring”

Feature: “cold outreach personalization”, “automated follow-ups”

Industry: “AI tools for SaaS”, “AI for real estate sales”

Comparison Pages: e.g., “[Tool A] vs [Tool B]”, “Best Instantly Alternatives”

Blog Topics:

“How AI is changing outbound sales”

“Cold outreach sequences that convert”

“Tools to replace your first SDR hire”

🌐 Site Architecture

Move from flat structure to nested topical silos (Feature → Use Case → Industry)

Add breadcrumb navigation for internal linking & crawlability

🔗 Link Building

Reverse-engineer links from Outreach.io, Clay, and Smartlead

Create infographics, free tools, and comparison pages to earn passive links

Outreach to sales blogs, startup directories, and AI communities

📈 Phase 4: Projections

Assumptions:

CTR: 30% at position 1

CVR: 2%

Customer Lifetime Value (CLTV): $9,000

(Estimates based on traffic model using Ahrefs/CTR data + business CLTV model)

✅ Final Outcome

📊 Delivered complete AREP SEO sprint in under 15 days

🚧 Fixed critical crawl/indexing issues related to rendering & duplication

🧩 Built keyword map and landing page strategy for 30+ commercial opportunities

💡 Forecasted up to $1.8M in ARR opportunity through organic growth

🔧 Created a repeatable SEO roadmap for scaling into 2025