The digital front door for everyone, from enterprise clients to small mom-and-pop websites, is starting to shift. For decades, the goal of every marketer and digital leader was to rank on the first page of Google. But now the traditional search results page is no longer the primary destination. Customers are starting their journeys in conversational interfaces like Gemini, CoPilot, and ChatGPT. Users want answers immediately; they don’t want to click on a link, wait for the page to load, and search for the content.

According to Gartner, organic traffic is projected to decline by 50% by 2028.

Enter the era of Generative Search Optimization (GEO). GEO is the process of enhancing content to increase its visibility in answers generated by AI-powered search engines. Adobe recently introduced LLM Optimizer as an enterprise-grade application designed for GEO. LLM Optimizer ensures brand and product content is understood, trusted, and surfaced by AI systems. It optimizes for answer engines, assistants, and conversational search - not just links.

The Pillars of Adobe LLM Optimizer

If you find you have a low visibility score and minimal brand presence, it's often a result of a technical or content issue where AI crawlers cannot ingest your content. LLM Optimizer includes an “opportunities” feature that suggests content optimizations as well as technical optimizations.

If you find you have a low visibility score and minimal brand presence, it's often a result of a technical or content issue where AI crawlers cannot ingest your content. LLM Optimizer includes an “opportunities” feature that suggests content optimizations as well as technical optimizations.

When most people think of site traffic, they only think about a human navigating to your site and performing actions. Agentic traffic, however, is an activity that is generated by an AI agent acting on behalf of a person. AI agents have gotten much smarter over time, and not only can they navigate pages and extract information, but they can also complete tasks without any human intervention. Agents are shaping what a “good UX” looks like by relying on clear page structure, metadata, and accessibility.

One of my favorite features of LLM Optimizer is the competitive benchmarking feature. See how your brand stacks up against others, including competitors. This feature allows you to configure a list of competitors or peers to monitor and identify specific user queries where a competitor is cited or mentioned, but your brand is absent. For example, “Most reliable car of 2026.” You can also see which themes competitors are winning, following our car theme (“Pricing, Technical Specs and Safety”). You can then begin to structure your content and metadata to better align these themes and focus on being cited where your competitors were.

Early Signals

LLM Optimizer is still new to the market, but early signals and adopters have seen measurable gains in AI-driven visibility. Adobe.com recently released test results on high-traffic landing pages, and within a week of implementing recommendations, they observed a 200% increase in visibility, 41% increase in referral traffic, and a 5x increase in citations.

In addition, early signals suggest that traffic originating from LLMs is of higher quality than traditional organic search traffic. Resulting in lower bounce rates, longer sessions, higher conversion rates, as well as a massive growth in retail interactions. Signaling a shift in how consumers are beginning their buying journey.

According to Adobe for Business, AI-driven traffic to retail sites spiked by 769% in November during the 2025 holiday season.

How to Get Started

Adobe has recently released a trial offer that allows current AEM Cloud customers to use 200 free prompts with no expiration date or contract required. In order to maximize this trial, you should be prepared to do the following:

• Configure your CDN log forwarding for traffic analysis and ensure that your CDN isn’t blocking LLM traffic.
• Configure competitor tracking and brand aliases
• Define high value prompts and topics. Think of prompts like test cases, they usually include a goal, a constraint, and a context. An example could be “Help me choose a reliable, safe car for my family of four that costs under 30k.”

Additionally, make it a priority to regularly monitor your agentic traffic, visibility score, and where your brand is cited and mentioned. Once you start to see data in your dashboard, you can begin to make adjustments to your prompts as well as fix any technical or content issues to enhance your visibility.
Contact us to learn more about how Blue Acorn iCi can help enable your LLM Optimizer trial and begin working with you on your AI strategy.