Adbeat vs Otterly.AI in 2026: Display advertising intelligence vs AI search visibility tracking

Adbeat is purpose-built for the question a display or native media buyer asks before committing budget: where are competitors showing up, which publishers or networks are involved, which creative patterns persist, and how does activity appear to be distributed? It tracks display advertising across more than 1,000 ad networks and more than 140 countries, capturing creative, landing pages, publisher placements, and estimated spend. That scope makes it materially more useful than a generic ad gallery when the research must lead to a practical test hypothesis about channels, publishers, offers, or formats.

Creative history is central to the product. A researcher can use the library to distinguish a newly observed variation from a message a competitor has continued running over time. Publisher and placement intelligence is equally important for market entry, helping a buyer find active destinations before testing direct buys or programmatic approaches. The free tier is intentionally limited. Intro supplies 1,000+ networks, 10+ countries, 90 days of creative history, publisher intelligence, and competitor alerts. Professional expands to 140+ countries and 365 days, then adds API access and white-label reports.

The limits are just as important as the coverage. Adbeat is focused on display and native, not Google Search ads, and its spend numbers are modelled rather than confirmed by advertisers. Sustained activity can be a useful research signal, but it cannot prove conversion rate, profitability, exact budget, or targeting settings. Use it to form and prioritise experiments, then validate the result with first-party campaign data. It is a media-intelligence product, not an AI search visibility tracker or a tool for monitoring whether a brand is cited in generated answers.

Otterly.AI solves a different discovery problem: how a brand appears inside AI-generated answers and which domains those systems cite. It monitors ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Microsoft Copilot, Claude, and Gemini, while its entry tier includes four base engines and makes Gemini, Google AI Mode, and Claude paid add-ons. Brand mentions, answer position, domain ranking, and citation link analysis give a content or SEO team evidence about where AI-driven discovery is strong, absent, or concentrated in competitor sources.

The GEO audit turns that measurement into an optimisation workflow by identifying gaps and suggesting content and structural changes. Lite is listed at $29 per month for 15 prompts, one workspace, citation analysis, and the audit. Standard is $189 per month and Premium $489 per month, both adding unlimited workspaces, API access, and MCP integration. Enterprise starts from €1,000 per month. The pricing shape makes Lite attractive for a single brand beginning AI-search monitoring, while a consultant or technical team will need to budget for Standard before treating Otterly data as a programmable source.

Otterly does not reveal where a competitor bought display placements, what banner creative they ran, or how much they spent. Its data is about AI answer visibility and citations, not media buying. It also does not list native white-label delivery on Lite, Standard, or Premium; Enterprise is contact-only. Use it when the next action is a content, citation, or GEO decision. Use Adbeat when the next action is a paid display or native research decision. A growth team may use both, but they should not merge their metrics into one false measure of competitive performance.