Analytics & Technical SEO

Advanced SEO Automation and Optimization for Thermo Fisher Scientific

A proprietary AI-powered SEO automation system delivering precision SEO at global scale for thousands of technical products across continents and verticals.

Client: Thermo Fisher Scientific – Global Life Sciences & Diagnostics Leader
Industry: Life Sciences | Laboratory Equipment | Global Diagnostics

Overview

With thousands of highly technical products across global markets, Thermo Fisher Scientific needed more than traditional SEO tactics—they needed precision SEO at scale. Facing a complex mix of regional redirects, inconsistent metadata, keyword underutilization, and global crawling challenges, they partnered with On Beat Digital to design and deploy a proprietary AI-powered SEO automation system capable of transforming their digital visibility across continents and verticals.

The result was a groundbreaking system that unified structured data optimization, semantic analysis, and real-time performance monitoring, delivering measurable improvements in traffic, engagement, and content alignment with user intent.

The Challenge: SEO at Global Scale, with Technical Complexity

Thermo Fisher's SEO issues were multi-dimensional:

Crawlability Issues

Crawlability limitations due to regional redirects and country-specific IP behavior

Inconsistent Metadata

Inconsistent metadata, header structures, and image alt usage across templates

Thin Content

Low word counts on high-value pages due to technical content brevity

Keyword Gaps

Missed semantic and keyword opportunities across product, category, and methodology pages

Duplicate Content

Duplicate and near-duplicate content across regional or branded variants

Missing Schema

Lack of structured data and schema markup, limiting eligibility for rich snippets

The client needed a solution that addressed immediate gaps and laid the foundation for automated, sustainable SEO management across a global enterprise.

The Solution: AI-Powered, Scalable SEO Optimization Framework

On Beat Digital developed and deployed an end-to-end SEO automation platform combining data scraping, AI-driven content intelligence, schema generation, and performance reporting—all wrapped in a modular, repeatable framework.

1. Custom Web Scraping & Data Parsing Engine

We built a powerful scraping system capable of:

  • Collecting metadata, canonical tags, H1–H6 hierarchies, alt tags, word counts, OpenGraph tags, and hreflang data
  • Detecting 301/302 redirects and non-indexable assets
  • Circumventing country-specific redirect logic by simulating local environments (geo-IP and language headers)
  • Integrating third-party data (Ahrefs, GSC, Screaming Frog) into a unified dataset

This provided a comprehensive technical and content audit covering thousands of URLs in multiple markets.

2. AI & NLP-Powered Content Optimization

Using Natural Language Processing (NLP) and machine learning models, we analyzed:

  • Search intent vs. page content alignment
  • Keyword density vs. semantic topic coverage
  • Readability scores (Flesch-Kincaid, etc.)
  • Heading variety and header logic
  • Thin content patterns and opportunities for enrichment

We also deployed automated tools to generate metadata (title, description, alt text) based on user search behavior, competitive SERP patterns, and targeted keyword clusters.

3. Schema Markup Generation & Structured Data Automation

To enhance visibility and SERP features, we implemented automated schema generation using:

  • Product, FAQ, Article, and HowTo schema templates
  • Conditional logic to assign appropriate schema types per page based on content structure and URL pattern
  • Breadcrumb and Organization schema embedded across site sections
  • Bulk schema validation and injection with CMS compatibility

This led to increased eligibility for rich results, better indexing, and improved clarity for search engines.

4. Automation & Scalable Framework

We built a modular automation pipeline that handled:

  • Scheduled SEO audits across all regional variants
  • Auto-detection of missing or malformed elements
  • Scalable tagging and fix recommendations
  • Integration with Power BI and reporting tools for stakeholder visibility

This allowed Thermo Fisher's internal teams to focus on content execution while automation handled auditing and prioritization.

5. Insight Reporting & KPI Tracking

Using custom Power BI dashboards, we visualized:

  • SEO health by URL, template, or market
  • Page-level technical scores (crawlability, metadata, schema, etc.)
  • Word count anomalies and duplication clusters
  • Backlink toxicity and disavow recommendations
  • Weekly delta tracking for progress measurement and strategy pivots

These dashboards allowed for agile optimization cycles driven by real-time insights.

Results & Impact

This initiative delivered transformative SEO performance improvements:

Increased Organic Traffic

Increased organic traffic to high-value product and method pages

Higher SERP Visibility

Higher SERP visibility and click-through rates due to schema-rich snippets

Improved Crawl Efficiency

Improved crawl efficiency and page indexing, especially in previously siloed regional sites

Enhanced Engagement

Enhanced engagement through better-aligned content structure and semantic clarity

Reduced Manual Overhead

Reduced manual SEO overhead through automation and structured workflows

Most importantly, it laid the foundation for ongoing optimization at enterprise scale, ensuring long-term SEO health and adaptability in a competitive scientific landscape.

Technologies & Methodologies

AI & Machine Learning Natural Language Processing Web Scraping Schema Markup Structured Data Power BI Dashboards SEO Automation Technical SEO Audits Content Optimization Metadata Generation Global SEO Crawlability Analysis Semantic Analysis SERP Optimization

Conclusion

This project represents the next evolution of enterprise SEO: automated, intelligent, and built for scale. On Beat Digital helped Thermo Fisher not just fix SEO problems—but future-proof their global digital presence.

From schema generation and NLP-driven audits to search intent modeling and technical crawling diagnostics, this was SEO strategy at the intersection of AI, automation, and real-world results.