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SAAS CASE STUDY

ProductScope AI

0 → 30,000 organic visits in 5 months (AEO Engine v1.0)

Industry

SaaS (AI product photography + ecommerce tools)

Timeline

5 months

SaaSContent EngineAEOAI SEOProgrammatic SEO
ProductScope.ai Google Search Console results showing 622K clicks and 10.5M impressions over 12 months

Results (High Level)

0 → 30KOrganic Visits
5 monthsTimeline
ValidatedAgentic AEO System
CompoundingTraffic Growth

Validated that an agentic AEO system can compound on a brand-new SaaS domain when it targets high-intent clusters and ships consistently.

The Situation

ProductScope AI operates in fast-moving AI categories where:

  • New tools appear weekly
  • Buyers search in prompts (not keywords)
  • Visibility depends on being the answer in both Google and AI engines

Goals

01

Scalable Authority

Build scalable topic authority across commercial and "solution-aware" queries.

02

Dual-Channel Demand

Capture demand from both traditional SERPs and AI answer engines.

03

Consistent Shipping

Ship consistently, then improve winners with refresh cycles.

04

Product Discovery

Turn content into product discovery (not just traffic).

What We Did (AEO Engine v1.0, In The Wild)

1

Topic-first, intent-first mapping

We built clusters that map to buyer journeys:

  • "Best X for Y" (comparison, selection, evaluation)
  • Tool alternatives and use-case pages
  • Workflows and tutorials that naturally lead to the product
2

LLM-ready content structure by default

Every article shipped with:

  • Direct answer sections
  • FAQs written in natural language
  • Internal links that connect use cases → solution pages
3

Schema + indexing from day one

We enforced structured markup patterns and fast indexing so new pages could start competing quickly.

4

Compounding loops

We didn't "publish and pray". We:

  • Refreshed pages that started winning
  • Expanded clusters where conversions happened
  • Added internal links as the library grew

Why It Worked

ProductScope's growth proved a simple truth: AEO is not a tactic. It's an operating system.

When you pair high-intent clusters, answer-first formatting, and always-on publishing and optimization, you get compounding distribution across Google and AI engines.

  • High-intent clusters tied to buyer journeys
  • Answer-first formatting for AI extraction
  • Always-on publishing and optimization cadence
  • Compounding loops that reinforce winners

Want to Replicate This for Your SaaS?

Get a free AEO + AI Visibility Audit. We'll map:

  • Your highest-leverage clusters
  • Where AI engines already mention competitors
  • The 100-day plan to compound traffic and pipeline
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