Otterly.AI (2026): Features, Plans and Fit From Public Docs

Otterly.AI is a subscription tool that runs the buyer questions you choose through AI search engines every day and reports whether your brand is named or cited. As of October 2026 it costs $29, $189 or $489 a month. Our view: it is a credible tracker for teams that will act on daily trends, and a poor first purchase if you only want to know where you stand today.

This guide is based on Otterly's public pages and help center as of October 3, 2026. This guide is based on public documentation as of 3 October 2026. We have not tested the product hands-on, so we say nothing about accuracy or day-to-day use. Prices are US dollars before tax. Ratings, customer quotes and user counts on Otterly's site are the vendor's own, and we have not verified them.

What is Otterly.AI?

Otterly.AI is an AI search monitoring and optimization platform from OtterlyAI GmbH, which its own announcement describes as Austria-based. You enter prompts, meaning the questions your buyers ask AI, and it records which brands and links appear in the answers.

Otterly's features page lists seven engines: ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot and Claude. Only four are in the base price, as the cost section below explains.

The practice behind it is generative engine optimization (GEO), defined on Wikipedia as improving visibility in responses from generative AI systems. The original GEO paper reported methods that boosted visibility by up to 40% in generative engine responses, with effects that varied by domain. No tool, Otterly included, makes that gain automatic.

Otterly says it was named a Cool Vendor in Gartner's 2025 report for AI in marketing. The same announcement carries Gartner's own disclaimer that it does not endorse any vendor in its research.

What are Otterly.AI's main features?

Otterly covers four jobs: finding prompts, monitoring answers, auditing content and reporting. The monitoring layer is the core product. Everything else is built on the prompt list you track.

Sources: Otterly's features overview, prompt research, analytics and optimization pages.

Our position: treat the optimization tools as a checklist generator. Recommendations built from your tracked prompts are a reasonable to-do list, but whether a fix raises your citations is something only your own before-and-after data can show.

How does Otterly.AI collect its data, and why does it matter?

Otterly reads most engines through their public web interfaces, not their APIs, and runs every tracked prompt once a day. Its help center says this keeps captured answers identical to what customers see, and that Claude is the one engine tracked via API.

Three details change how you should read the dashboard:

• Daily only. You cannot trigger a run or change the frequency, per the monitoring guide. A fix is not re-tested until the next cycle.
• Neutral, not personal. Otterly says its results can differ from what you see in your own ChatGPT, because engines personalize by history and location. It aims for a neutral baseline.
• Country-specific. Each prompt is tied to a country, so the same question in two markets uses two prompt slots.

Daily sampling is the right design, because answers vary. An arXiv study found accuracy varying by up to 15% across runs of models configured to be deterministic. Otterly itself says repeated checks build the sample size needed to see signal.

So read trends over weeks, not one day's answer. Google also documents that AI Mode and AI Overviews may use different models and techniques, which is why Otterly tracks them as separate engines.

How much does Otterly.AI cost?

Otterly lists three self-serve plans plus a custom Enterprise tier. All three include the same four engines and unlimited team members. What rises with price is prompt volume, workspaces, API limits and onboarding, per its pricing page.

The base four engines are ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot. Google AI Mode, Gemini and Claude are add-ons: AI Mode and Gemini cost $9, $59 and $149 a month on Lite, Standard and Premium, and Claude costs $29, $109 and $439.

Lite shows three recommendations a week, while Standard and Premium are unlimited. API, MCP and the Looker Studio connector start on Standard.

The trial is 7 days with no card, according to the help center. A sign-up pop-up on the homepage says 14 days, so confirm on the sign-up screen. For full-coverage totals, the Lite-to-Standard cliff and the prompt-counting rules, see our Otterly.AI pricing guide.

Who is Otterly.AI best for?

Otterly fits teams that already know their buyer questions and will review results regularly. That means in-house SEO or content teams, and agencies running several clients from separate workspaces. Otterly's own plan labels point the same way: Lite for solo marketers, Standard for small teams, Premium for agencies.

Choose it if:

• You can name 50 or more buyer prompts, and they cover your markets.
• Someone will read the trend weekly and act on it.
• You need exports, Looker Studio or an API to feed existing reports.

Look elsewhere if:

• You want to know today whether engines name you. A recurring plan is overkill for one answer.
• Gemini and Claude coverage matters from day one, because the add-ons change the price.
• You cannot dedicate time to act on findings. A dashboard nobody reads is a recurring cost.

What are the pros and cons?

Otterly's strengths are breadth and citation-level data. Its weaknesses are add-on cost, daily-only runs and thin history protection.

Pros

• Broad engine list: seven engines, including both Google AI Overviews and AI Mode.
• Citation-level data: every cited URL and domain is tracked, not only brand mentions.
• Daily sampling suits non-deterministic answers.
• Prices are published, and API, MCP and Looker Studio come with Standard and above.
• It checks crawlability with named AI user agents, not just generic robots.txt rules.

Cons

• Full coverage costs well above the sticker price once add-ons are counted.
• You cannot run a check on demand, so fixes wait for the next daily run.
• Cancelling deletes tracked engines and historical data, per the cancellation guide. Export first.
• Marketing figures disagree: one page says "40,000+" marketing professionals, another "30,000+". Country counts also vary between "50+", "65+" and "70+" across its pages.
• Web-interface tracking and API tracking differ, and Otterly says Claude uses the API. We have not tested how that affects results.

What did we see on Otterly's own site?

In AEOeye's crawler access study (October 2026, 391 sites), our self-identifying research crawler was challenged with a 403 on otterly.ai's homepage and /llms.txt. That was one fetch on one day, not a verdict on the product.

When we re-fetched with an ordinary browser user agent on October 3, the site returned its pages, a robots.txt that allows all crawlers, and an llms.txt. So Otterly does not block AI crawlers in robots.txt, but its CDN may challenge unknown bots, which robots.txt cannot show.

What are the alternatives to Otterly.AI?

The alternatives split into two groups: other recurring trackers, and one-time audits. Which group you need depends on whether you want a trend line or a starting point.

• Other trackers. Profound vs Otterly compares the enterprise option, and our Otterly alternatives list covers the wider field.
• Head-to-head with us. AEOeye vs Otterly lays out the trade-offs, including where Otterly is stronger.
• Wider shortlist. The best AI visibility tools compares categories before you pick a product.
• A one-time snapshot. AEOeye's free audit asks three buyer questions of ChatGPT live and shows the real answers. The $29 one-time full report covers ten questions across five engines, each tested at the default tier a free user would see.

AEOeye is not a daily tracker, and it does not replace one. If you need monitoring across hundreds of prompts, Otterly and its peers do that. If you have not yet checked whether any engine names you, start with a snapshot.