How a Marketing Agency Cut SEO Research Time from 3 Weeks to 20 Minutes with AI

User Profile:

• Industry: Digital Marketing Agency

• Company Size: 15-person team

• Role: SEO & Content Strategy Lead

Feature Used: AI Research

The Challenge: Understanding the AI Search Revolution

When Marcus, a digital marketing advisor, noticed clients’ organic traffic declining despite strong keyword rankings, he knew something fundamental had shifted. The culprit? AI-powered search engines like Perplexity and ChatGPT were answering user queries directly—no clicks needed.

His team faced a critical question: How do we optimize content to become “AI-citable” instead of just Google-friendly?

The Pain: Traditional user research would take 3+ weeks and $15,000+ to understand how professionals actually use AI search tools. His agency needed insights fast—before clients’ visibility eroded further.

The Atypica Solution

Using Atypica.AI, Marcus launched AI Research targeting digital marketers, content creators, and knowledge workers. Within 20 minutes, AI Personas simulating these professionals revealed:

• Zero-click behavior: 64% of searches now end without website visits

• Citation trust: Professionals rigorously verify AI answers by clicking through sources

• The new job-to-be-done: Users “hire” AI for instant synthesis, not keyword matching

The comprehensive report uncovered actionable patterns—like how Perplexity users valued numbered citations, while ChatGPT users struggled with source verification.

Impact Achieved

Short-term:

• Developed Answer Engine Optimization (AEO) framework in days vs. months

• Identified 4 strategic pillars: answer-first content, intent-based structure, E-E-A-T authority, and technical AEO

Long-term:

• Repositioned agency services around “citation economy” optimization

• Client content now structured for AI comprehension—not just keyword density

Before vs. After

Traditional ResearchWith Atypica.AI3-4 weeks timeline20 minutes$15,000+ budgetCost of coffee8-12 manual interviewsUnlimited AI PersonasStatic insightsReal-time iteration

The Bottom Line: While competitors scrambled to understand the AI search shift, Marcus’s agency delivered strategic frameworks backed by behavioral insights—positioning clients as authoritative sources in the emerging world of AI citations.

Read the full research report: The AI Search Transformation

Ready to uncover insights 100× faster? Try Atypica.AI today.

Atypica AI Research is built on a strong technical foundation. Our atypica.AI model runs on Amazon Bedrock Claude and is built on a modern, highly available, cloud-native architecture powered by AWS. From AI engines and infrastructure to container orchestration, databases, and security, Atypica receives comprehensive technical support from AWS, ensuring stability, continuity, and security for every Agent running in production.

Core AI Engine

The “brain” of Atypica.AI is powered by Amazon Bedrock. By leveraging Claude’s advanced long-context understanding and deep reasoning capabilities, Atypica’s Agents can cross-analyze collected information, extract insights, identify trends, and generate high-quality analytical content leading to differentiated commercial intelligence.

Global Database Architecture

To support efficient global information retrieval and low-latency service delivery, Atypica uses Amazon Aurora Global Database. This AWS-exclusive feature enables us to deploy a single database across multiple AWS Regions.
The primary Region handles write operations, while read-only replicas around the world synchronize data with sub-second latency, ensuring users always have fast access to up-to-date information—making near real-time global insights possible.