Client identity withheld for confidentiality.
Challenge
A marine parts retailer with tens of thousands of SKUs faced increasing competition from national retailers, changing search behavior driven by AI, and customer uncertainty around part compatibility and fitment.
The company needed more than traditional SEO. It needed a strategy capable of increasing visibility, improving customer confidence, and creating sustainable growth across multiple acquisition channels.
Strategy
Rather than treating SEO, AI visibility, paid media, and conversion optimization as separate initiatives, a unified growth strategy was developed focused on:
Expanding visibility across traditional search and AI platforms
Improving click-through rates from existing rankings
Identifying high-value content opportunities competitors were missing
Strengthening entity recognition and AI discoverability
Improving internal search and conversion pathways
Optimizing paid media allocation based on profitability
A key strategic initiative involved identifying fitment and compatibility as one of the largest competitive gaps in the marine parts industry. Work began on a long-term Fitment Intelligence strategy designed to improve customer confidence, AI understanding, Google Shopping performance, and future AI-assisted product recommendations.
Results
Revenue Growth
Revenue increased 48%
Transactions increased 46%
Add-to-cart activity increased 154%
Checkout activity increased 88%
Organic Search Growth
Organic revenue increased 14%
Average rankings improved by more than 10 positions
Organic click-through rate increased 17%
AI Visibility Growth
More than 2,100 AI citations
More than 2,300 cited pages
Significant visibility across ChatGPT, Gemini, Google AI Overviews, and other AI platforms
Estimated AI audience reach exceeding 1.6 million monthly users
Paid Media Performance
Google Ads maintained approximately 6-7x ROAS
Retargeting campaigns exceeded 17x ROAS
Geo-targeted campaigns exceeded 9x ROAS
Strategic Insight
The greatest opportunity wasn’t simply improving rankings. It was identifying customer confidence gaps, improving AI understanding, and creating a data structure capable of powering future search, shopping, and AI experiences.