SEO Intelligence | Marketing Automation

Back to Case Studies

Marketing

SEO Intelligence & Opportunity OS

Automated SEO engine that prioritizes opportunities and monitors ranking decay.

Marketing automation case study featuring ai implementation and reporting.

+28% in 90 days

Search Traffic

-70%

Decay Incidents

Clear

Editorial Prioritization

Overview

A high-traffic business with millions of monthly organic impressions needed an automated SEO engine that prioritized opportunities and monitored ranking decay. Search traffic grew 28% in 90 days with decay incidents dropping by 70%.

Business Context

The company's organic search traffic drove millions of monthly impressions, representing a critical acquisition channel that had grown organically over years. However, the SEO team was drowning in data — thousands of keywords to track, hundreds of pages to monitor, and constant algorithm updates that threatened rankings. Ranking decay went unnoticed for weeks because manual monitoring couldn't keep pace. Content gap research was slow and manual, meaning competitors often captured search demand before the team could respond. There was no systematic way to prioritize which SEO opportunities would drive the most business impact. The team spent most of their time on data gathering and analysis rather than strategic content creation and optimization.

How We Built It

We built an SEO intelligence platform that serves as a command center for organic search strategy. The system ingests data from Google Search Console, Ahrefs, and Semrush, creating a comprehensive search data lake that combines ranking positions, search volumes, click-through rates, and competitive metrics. Keyword clustering algorithms group related terms into topic clusters, enabling strategic planning at the topic level rather than managing thousands of individual keywords. Competitive gap scoring identifies keywords where competitors rank but the company doesn't, prioritized by search volume and business relevance. The SEO opportunity engine calculates expected traffic impact for each potential improvement, helping the team focus on high-value opportunities rather than chasing vanity keywords. Decay detection algorithms monitor ranking positions daily, triggering alerts when pages drop from top positions before the traffic impact becomes severe. Content refresh suggestions are generated automatically for declining pages, identifying specific improvements like adding sections, updating statistics, or improving internal linking. The internal linking map visualizes the site's link architecture, identifying orphaned pages and opportunities to strengthen topic authority. A keyword explorer interface provides traffic forecasts and page-level health scores that make prioritization intuitive. Automated competitor monitoring tracks new content and ranking changes from key competitors, surfacing strategic insights proactively.

Challenges

Thousands of keywords with no prioritization logic

Ranking decay unnoticed for weeks

Manual content gap research

Slow reaction to competitor updates

What We Delivered

Search data lake with GSC, Ahrefs, Semrush ingestion

Keyword clustering and competitive gap scoring

SEO opportunity engine with decay alerts

Content refresh suggestions and new article topic generator

Internal linking map

Keyword explorer with traffic forecasts and page-level health

Tech Stack

Ingestion from GSC, Ahrefs, Semrush, Keyword clustering, Competitive gap scoring, Opportunity modeling, Next.js UI

Results

+28% in 90 days

Search Traffic

-70%

Decay Incidents

Clear

Editorial Prioritization

Strategic Impact

The 28% increase in search traffic within 90 days demonstrated the power of systematic prioritization — by focusing editorial resources on the highest-impact opportunities, the team achieved more with the same capacity. Decay incidents dropped by 70% because problems are now caught within days rather than weeks, enabling quick intervention before significant traffic is lost. Editorial prioritization is now clear and defensible — instead of debates about what content to create or update, the team follows data-driven recommendations that connect to business outcomes. Competitive gap analysis has identified content opportunities that were previously invisible, capturing search demand that had been going to competitors. The content refresh workflow has proven particularly valuable — updating existing high-performing content is often more effective than creating new content from scratch. Internal linking improvements have strengthened the site's topical authority, helping new content rank faster than before. The team can now respond quickly to competitor movements, updating content or creating new pieces before competitors gain entrenched advantages. Algorithm update impact is visible immediately, enabling rapid diagnosis and response rather than weeks of uncertainty. The keyword clustering has improved content strategy, ensuring comprehensive topic coverage rather than scattered keyword targeting. Reporting to executives now demonstrates clear ROI from SEO investment, with traffic projections that have proven accurate over time. The platform has transformed SEO from a reactive discipline into a proactive strategic function that consistently delivers measurable business value.