Adobe LLM Optimizer vs AI Peekaboo vs Otterly.AI in 2026: Enterprise GEO vs Agency API vs Accessible Monitoring

Adobe LLM Optimizer is Adobe's generative engine optimisation platform, built for enterprise brands that need to measure, analyse, and improve how they appear in AI-generated search answers across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and Microsoft Copilot. The platform covers the full GEO cycle: measurement, competitive benchmarking, content recommendations, and traffic attribution.

The most distinctive feature is agentic traffic attribution, which identifies when visitors arrive on your site from AI agents rather than human users clicking a citation. This matters because the traffic profile of AI-referred visitors is fundamentally different from organic search visitors, and most analytics tools do not separate the two. Adobe LLM Optimizer builds that distinction into its measurement layer.

The trade-off is access. Pricing is not public and requires a sales conversation before you can buy. There is no self-serve signup and no free trial. For teams already invested in Adobe Experience Cloud, the integration with Adobe Analytics and Adobe Experience Manager is a meaningful productivity gain. For teams evaluating GEO tooling independently of their content stack, you are paying enterprise pricing for a tool that competes on feature depth rather than ecosystem fit.

AI Peekaboo tracks where your brand appears in AI-generated answers across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. The platform was built with agencies and consultants in mind, which is why both a read and write API are available on every plan from $50/month. You can pull the data into your own dashboards, trigger monitoring runs programmatically, or build the visibility check into an existing workflow.

Pricing is per prompt rather than per seat, which means the cost scales with actual usage rather than team size. Agencies managing multiple brands can configure each client with its own monitoring frequency, deliver white-label reports through guest access links without forcing clients to log into another platform, and use the Looker Studio connector to drop visibility data into existing reporting setups alongside SEO, paid, and other channel data.

The main gap versus Adobe LLM Optimizer is ecosystem integration. AI Peekaboo does not have agentic traffic attribution or a native connection to Adobe Analytics. For teams whose GEO work needs to travel through an API and into client reports rather than into an enterprise martech stack, that gap is a feature rather than a limitation.

Otterly.AI is the most accessible entry point in this comparison. At $29/month for the Lite plan, you get real tracking across ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Microsoft Copilot, Claude, and Gemini. The platform also runs a generative engine optimization (GEO) audit that identifies gaps in your AI search presence and surfaces specific recommendations for improving citation frequency.

The feature depth versus AI Peekaboo and Adobe LLM Optimizer is narrower. There is no white-label delivery and no API access on the Lite plan. Workflow integration through the API and MCP server only unlocks at the Standard tier ($189/month), which makes the cheapest plan genuinely limited from an integration standpoint.

For solo marketers or small in-house teams who need visibility data without the technical plumbing, the Lite plan is hard to beat on price. If you need to pull that data into custom dashboards, deliver reports to clients, or connect Otterly to an agent stack, you will be paying close to $200/month to get there.