
The client is a global B2B SaaS leader in privacy, consent, and preference management solutions, serving enterprise clients across media, gaming, and retail industries.
The client is a global B2B SaaS leader in privacy, consent, and preference management solutions, serving enterprise clients across media, gaming, and retail industries.
The client faced limited visibility across AI-powered search platforms, affecting discoverability for branded and product-specific terms.
Their existing WordPress-based website infrastructure presented crawlability and performance issues, particularly affecting visibility for their core product offerings. These inefficiencies hindered organic growth and search engine authority.
Implemented structured SEO enhancements to boost AI-powered search optimization, branded keyword visibility, and metadata alignment, driving stronger results for their primary business keywords.
Executed technical SEO remediation and WordPress-level restructuring to improve crawl health, indexation, and overall performance of their domain.
Deployed an LLM based Model Context Protocol (MCP) to enable scalable content generation with AI, for generating SEO-aligned, publish-ready content at scale.
Integrated Knowledge Graph and Style Guide to ensure every content asset aligns with the client's brand tone, structure, and AI visibility needs.