Challenge
Enterprise technology research is shifting into AI-search environments, while a complex JavaScript architecture made stable agent crawling and understanding difficult.
GLOBAL BENCHMARK PRACTICE
Cybersecurity, cloud, and CDN | Global B2B
Akamai: Making enterprise content understandable and citable in AI search
This is a sourced public case study, not a Negency client engagement.
Approach
The public case established prompt monitoring, tracked mentions, citations and competitors, and delivered structured server-rendered content to AI agents.
Reported outcome
Publicly reported: total citations on test pages increased 85%, unique prompts producing citations increased 38%, non-branded prompt presence increased 364%, and relative ChatGPT visibility increased 133%.
Relevant Negency capabilities
AI visibility audit, agent crawlability, prompt intelligence, citation optimization, AI content delivery
PUBLIC SOURCE
Akamai 与 Scrunch 公开案例
Testing ran from December 2025 to January 2026. Figures are from the public case and are not Negency project results.