Akamai Launches AI Brand Presence to Strengthen Visibility in AI Search and Agentic Discovery

The company Akamai has launched its latest product AI Brand Presence, which will assist companies in improving their digital content to create optimized digital experiences for AI searches and AI agents. This platform will help businesses tailor their web content for LLMs and AI discovery tools while also monitoring AI bots and providing edge-level security capabilities.

The release comes against the backdrop of a massive change in the way that brands reach consumers online. Rather than going straight to their websites via traditional search engines, consumers are increasingly turning to AI-powered responses and conversational searches made possible by services like ChatGPT and Google AI Overviews.

This is causing a seismic shift in the world of digital marketing. Akamai estimates that there has been a 300% year-on-year rise in AI bot traffic, and other industry research indicates that around 60% of searches conducted online no longer lead to clicks on the corresponding websites. This is forcing brands to reconsider how they present their content to AI algorithms.

“The assumptions underpinning 20 years of digital strategy are breaking down in real time. We’re witnessing one of the most significant shifts in digital history, a move from human-driven search to machine-mediated discovery,” said Patrick Sullivan, CTO of Security Strategy at Akamai. “Businesses face the risk of digital invisibility. If you’re not the primary source of truth for the AI models your customers trust, you effectively don’t exist.”

Also Read: Square Root Marketing Introduces Square One™ to Help B2B Brands Strengthen AI Search Visibility

Built to Support the AI-Driven Web

AI Brand Presence is designed specifically for the emerging AI-first internet environment, where AI systems increasingly retrieve, summarize, and deliver information on behalf of users.

The platform combines two primary capabilities:

AI-Optimized Context Delivery

AI Brand Presence automatically translates website content into AI-friendly formats that are easier for large language models and AI agents to interpret and process. According to Akamai, this process happens behind the scenes without requiring backend infrastructure changes or disrupting the experience for human visitors.

Visibility and AI Traffic Insights

In addition to this, the solution offers businesses the advantage of a dashboard that highlights the AI models visiting the site, the type of content they have consumed, and how these activities affect downstream traffic.

Combining all these features helps create an emerging digital marketing strategy called Generative Engine Optimization (GEO), where the emphasis is on improving brand visibility through AI models as opposed to only optimizing sites for website traffic.

Helping Brands Maintain Control in AI Search

With AI Brand Presence, organizations can improve how AI systems represent their products, messaging, and brand identity across AI-powered discovery environments.

The platform enables businesses to:

• Improve visibility within AI-generated answers and recommendations
• Better understand how AI systems consume and interpret website content
• Adapt content strategies based on real-time AI interaction patterns
• Control how brand information appears across AI ecosystems
• Enhance AI comprehension without disrupting existing digital workflows

Unlike conventional optimization tools that often require backend development or content restructuring, Akamai’s solution operates at the edge, allowing real-time adaptation of content delivery while preserving existing website architecture and user experience.

Akamai Uses Its Own Platform to Improve AI Discoverability

Before publicly launching AI Brand Presence, Akamai deployed the technology across its own global website as an internal pilot program. By serving an AI-optimized version of its content alongside the standard human-facing site, the company significantly reduced data loads for AI systems while improving discoverability.

According to Akamai, the optimized structure reduced machine-processing data requirements by 99% and generated substantial visibility gains across AI-driven search environments. The company reported an 85% increase in citations and a 364% rise in overall brand presence for non-branded search queries. Within ChatGPT specifically, Akamai says its visibility increased 133% compared to competitors.

These results highlight the growing importance of proactively managing how AI systems retrieve and present brand information.

“As marketers, we can’t afford to be passive observers of the AI shift; we must drive the change we want to see. We spent years building our brand, but if we don’t guide how AI models find and share our content, we’re essentially giving up control over our own reputation,” said Kim Salem-Jackson, Chief Marketing Officer, Akamai. “By testing this technology on our own site first, we proved that brands can reclaim their narrative. The criteria for a great website have changed. In addition to providing an exceptional human user experience, you need to optimize your site for AI comprehension and retrieval so that you’re the source that AI trusts for its answers. With the launch of AI Brand Presence, we’re giving marketers the keys to their digital identity again, making sure their brand shows up correctly every time.”

Preparing for the Future of Agentic AI Interactions

The introduction of AI Brand Presence fits into Akamai’s overall plan to enable the coming era of AI-enabled digital experiences, whereby AI-powered agents will carry out research, discovery, and transactions on behalf of the users.

By bringing together AI-optimized content delivery with enhanced AI traffic visibility and security capabilities, Akamai hopes to assist brands in understanding, shaping, and securing their presence in emerging AI environments.

As the impact of generative AI and agentic search becomes more apparent in transforming online discovery and user engagement, technologies that focus on AI visibility, AI content optimization, and GEO are likely to play a more prominent role in digital marketing and web architecture.