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Enterprise SEOMarketing & SEO
28% YoY Organic Traffic Lift for Global Financial Services Firm
Led enterprise SEO strategy across a 10K+ page financial services site, combining traditional SEO fundamentals with AI-assisted keyword clustering and research automation (OpenAI API + Python pipelines). Delivered compounding organic growth while cutting strategy-team research time by 40% and influencing the content roadmap that drove a 12% increase in organic-driven conversions.
28%
YoY lift Organic Traffic
40%
cut via AI clustering Research Time
12%
lift Organic Conversions
Project Details
Enterprise SEO on a 10K+ page financial services site requires a fundamentally different playbook than small-business SEO. Crawl budget, canonical strategy, internal linking, and content architecture become the dominant levers — and keyword research at scale breaks down unless you automate it. This engagement combined rigorous technical SEO foundations with AI-assisted research workflows: OpenAI API + Python pipelines for semantic keyword clustering, embedding-based search-intent grouping, and automated content-gap identification against the competitive set. The AI layer cut research time by roughly 40%, freeing the strategy team to focus on roadmap prioritization and stakeholder alignment rather than spreadsheet assembly. Results: 28% YoY organic traffic lift, 18% lift in non-branded rankings across priority keyword sets, and ~12% increase in organic-driven conversions driven by a compounding content + technical strategy rather than a one-off campaign.
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