Case Study #2: Christie’s

AI SEO Pilot

Christie’s Discovery – CMS Transformation

Context

Christie’s editorial and marketing teams were manually tagging thousands of digital assets with metadata (alt tags, descriptions, titles). This consumed hours daily and created inconsistencies in SEO output.

Problem Statement

Manual metadata entry slowed content velocity, introduced human error, and undercut search visibility at a time when Christie’s needed sharper discoverability for high-value auctions.

Methodology

Ran a structured Discovery: stakeholder interviews, workflow mapping, and data audit.
Identified SEO metadata automation as a high-impact pilot for GenAI.
Designed an Azure-based AI agent integrated with CMS workflow, trained to generate meta tags, meta descriptions and alt text from article or image input.
Implemented human-in-the-loop editing for quality control.

Delivery

Built and deployed AI metadata agent within Christie’s CMS environment.
Configured workflows for editors to review, edit or accept AI-generated metadata in real time.
Rolled out to global editorial teams with training and monitoring.

OutcomeS

Metadata coverage increased from 65% → 98%.
Manual effort reduced 70%, saving ~40 staff hours per week.
Organic search impressions up 28% within pilot quarter.
Click-through rate up 14% on AI-tagged assets vs manually tagged.
Editor satisfaction: 9/10 (“game-changer, less grunt work”).

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