We came in as the SEO consulting partner and treated this as a focused engagement to get the store to a clean, AI ready foundation rather than chasing rankings on broken infrastructure.
We ran a detailed page level audit and turned the more than three thousand errors into a prioritised cleanup roadmap, so the most critical issues were resolved first and the team always knew what was shipping and why it mattered for discovery.
We directed the remediation across crawlability, schema, product page structure, and the URL and product mismatches, so search engines and AI engines could move through the store cleanly and read the offer the way it was intended.
We specified the structured data the store was missing so rich result eligibility was restored and the AI answer engines had clean, machine readable signals to draw from when deciding who to cite for a fragrance query.
Once the technical foundation was improved, we shared blog topics, outlines, and AI visibility focused recommendations so the brand had a clear content direction that supports both classical search and AI Overview, AI Mode, and LLM answers.
After the cleanup and the consulting roadmap, the website SEO health improved significantly. The work created a much stronger SEO base by resolving the critical issues, improving structure, and giving the store a clearer content direction to build on. It also strengthened the brand for AI search visibility, including AI Overviews, AI Mode, and LLM mentions. As product discovery and search readiness improved, the store became better positioned to turn organic visibility into revenue opportunities rather than leaving demand on the table.
