The landscape of SEO for manufacturers is constantly evolving.
Staying ahead of these trends is crucial for maintaining and improving search visibility.
AI and Machine Learning
Search engines are increasingly using AI to understand user intent and deliver more relevant results. Manufacturers need to optimize for semantic search and natural language queries.
Authority and Expertise
With Google's E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) emphasis, manufacturers must showcase their industry expertise through high-quality, technical content and thought leadership.
Another example of EEAT in use are link profiling: manufacturers should thoroughly inspect backlinks they try to obtain in terms of relevancy to their niche, general domain authority, and quality.
Voice Search Optimization
As more B2B buyers use voice assistants, optimizing for conversational queries becomes important, especially for technical specifications and quick answers.
Video Content
Video is becoming increasingly important for demonstrating products, explaining complex processes, and engaging potential customers. Optimizing video content for search is crucial.
Recommended read: YouTube for Manufacturers: Turning Views into Leads
Mobile-First Indexing
With Google's mobile-first approach, ensuring mobile optimization of manufacturing websites is no longer optional but essential.
Local SEO for Manufacturing
Even B2B manufacturers are seeing increased importance in local search as buyers seek local suppliers and partners.
Sustainability Content
As environmental concerns grow, manufacturers optimizing content around their sustainability practices and green manufacturing processes can gain a competitive edge in search results.
Advanced Sales Funnel Analysis
Manufacturers are adopting more sophisticated approaches to analyze and optimize their digital sales funnels.
This includes mapping SEO efforts to specific stages of the B2B buying process, from awareness to consideration to decision-making. It involves creating targeted content for each stage and using advanced analytics to track user journeys and touchpoints across long sales cycles typical in manufacturing.