Otterly Ai Visibility Tracking

• Buyers now research in answer engines before they reach a search results page.
• Otterly monitors seven engines: ChatGPT, Gemini, Perplexity, Microsoft Copilot, Google AI Overviews, Google AI Mode and Claude, according to [Analyze AI](https://www.tryanalyze.ai/blog/otterly-revi…
• The cost of a realistic engine mix depends on the prompts and engines a team needs.
• A monitoring-only tool stops at reporting.
• Teams that need white-label client reporting, bulk page generation or CMS publishing will find monitoring insufficient on its own. For instance, according to McKinsey & Company's 'New front door to the internet' (October 2025), roughly half of consumers already lean on AI-generated search, yet only 16% of brands track whether they show up in AI answers (as cited by SE Ranking's Otterly AI review).

Buyers now research in answer engines before they reach a search results page. According to McKinsey & Company, roughly half of consumers already lean on AI-generated search, yet only 16% of brands track whether they appear in those answers. That gap is the opening Otterly targets.

Without tracking, a brand cannot tell whether a competitor is being recommended on high-intent prompts or whether the brand's own pages are being cited at all. Otterly turns this blind spot into a measurable, prompt-by-prompt record across engines such as ChatGPT, Perplexity and Google AI Overviews.

That record is the prerequisite for any optimization work, because a brand cannot improve citations it has never measured. Otterly.ai launched publicly in October 2024, founded by Thomas Peham with co-founders Josef Trauner and Klaus-M. Schremser in Vienna, Austria (according to SE Ranking's Otterly AI review).

Otterly monitors seven engines:

• ChatGPT
• Gemini
• Perplexity
• Microsoft Copilot
• Google AI Overviews
• Google AI Mode and Claude

The engines are not priced equally. The Lite plan covers four core engines, while Claude, Gemini and Google AI Mode are paid add-ons on every self-serve tier, as ZeroRank notes. Because engine coverage drives the bill, a team tracking only ChatGPT and Perplexity pays a different total than one tracking all seven.

Prices as reported by MarcoDiversi (2026) and ThatMarketingBuddy; verify against current Otterly pricing before budgeting. Gartner named Otterly.ai a Cool Vendor in its 2025 Cool Vendors for AI in Marketing report, per Otterly's GlobeNewswire release dated November 4, 2025 (as referenced in SE Ranking's review).

The cost of a realistic engine mix depends on the prompts and engines a team needs. The Standard plan at $189 per month covers 100 prompts and the four core engines, but Claude sits outside that core set. Specifically, a Claude add-on can move the total toward the top of the $29 to $439 range.

Teams should price the exact engine set and prompt count rather than the headline plan. For example, Semrush's separate integration is priced differently: its base plan is $27 per month for 10 keywords. According to Semrush, prompt add-ons cost $29 for 10 prompts, $189 for 100 and $989 for 1,000.

A monitoring-only tool stops at reporting. Otterly is a visibility tracker: it reports what appears but does not write, publish or restructure the pages that engines cite. Its GEO audits and Recommendations suggest changes, and Brand Profiling shows which attributes ChatGPT, Claude and Gemini associate with a brand, per Otterly's features page. However, a recommendation list still needs a team to ship the fixes.

When visibility gaps are structural, such as missing authority pages, thin entity coverage or stale content, a monitoring tool identifies the problem but does not close it. Specifically, that is the point at which execution tools such as Fastlook's Page Engine, which publishes AEO-optimized pages with structured data, must start.

Teams that need white-label client reporting, bulk page generation or CMS publishing will find monitoring insufficient on its own. Agencies managing 10 or more clients often need separate workspaces and automated output, which a tracker does not supply.

Conversely, a single brand running a focused prompt set with an in-house content team may find the Lite plan adequate. The decision turns on whether the bottleneck is measurement or production. If measurement is the constraint, a tracker like Otterly addresses it directly. If production is the constraint, the brand needs an execution layer alongside any tracking tool.

Otterly suits API users and workflow-driven teams, though it is not a complete execution platform. For API and workflow access, Otterly offers an official MCP server with OAuth2 authentication.

The Standard plan includes 2,000 API and 2,000 MCP requests per month, according to ThatMarketingBuddy. Otterly was also named a Cool Vendor in Gartner's 2025 Cool Vendors for AI in Marketing report, according to its GlobeNewswire release. Teams that need publishing or bulk page generation should evaluate those capabilities separately. Competitors such as Profound, Peec.ai and Goodie.ai are not compared here because their pricing and feature details are not publicly documented in the sources reviewed.

Related guides

• AI Visibility Tracking: Monitor Brand Citations Across
• AI Search Visibility Tracking Software: Monitor Citations
• AI Visibility Tracking Tools: Monitor Brand Citations