AI Visibility Tracker vs Otterly.AI

Otterly.AI is a hosted AI-search monitoring platform and the cheapest credible entry point in the category, published at $29/month for 15 prompts with unlimited team members, rising to $489/month for 400 prompts. Its base tiers cover ChatGPT, Google AI Overviews, Perplexity and Copilot — Claude and Gemini are paid add-ons. AI Visibility Tracker costs $29 once rather than $29 a month, covers all five of ChatGPT, Claude, Gemini, Perplexity and Grok with no per-engine fees, and keeps everything on your own machine — but it is a single-user desktop app with no web dashboard.

Last updated 2026-07-28

What is Otterly.AI?

Otterly.AI is an AI search monitoring and optimisation platform run by an Austrian company, and it is the most accessible hosted option in this category. Its published tiers on 28 July 2026 were $29/month for Lite with 15 search prompts, $189/month for Standard with 100 prompts, and $489/month for Premium with 400 prompts, with unlimited team members on every tier including the cheapest.

It also publishes unusually specific infrastructure detail: services hosted in AWS eu-central-1 in Frankfurt, with public monitoring data in the US, GDPR compliance as a data processor, and standard contractual clauses for non-EU sub-processors. That level of published specificity is rare here and worth crediting. One clarification, since it is easy to misread: the SOC and ISO certifications listed on their security page are AWS's data-centre certifications rather than certifications Otterly itself holds.

Where does Otterly genuinely win?

• Zero setup beyond signup. No API key to create, no provider account, no budget to think about, nothing to install — for a lot of people that alone is worth $29 a month.
• Unlimited team members on every tier, including Lite. A desktop app cannot match that at any price.
• Web access from anywhere, including from a phone, and from machines you do not own.
• Published data-residency detail — EU hosting in Frankfurt, GDPR processor status, documented sub-processor terms. If your organisation asks where data is processed, they have an answer on the record.
• Extras a measurement tool does not have: GEO URL audits at volume, location-based simulation, a Looker Studio connector and MCP access from the Standard tier up.
• Runs happen on their schedule regardless of whether your computer is awake.

What exactly does AI Visibility Tracker do?

It asks the questions your buyers ask to five AI answer engines every day — ChatGPT, Claude, Gemini, Perplexity and Grok — checks each answer and its citations for your brand and your competitors, and reports the result as a Share of AI Answer score with a per-engine breakdown and a ranked list of the domains beating you.

Three implementation details are worth knowing because they determine whether the numbers mean anything. Every engine runs in its web-grounded mode, with no option to disable it: an ungrounded model answers from stale training data and fabricates citations that look entirely real once they are in a spreadsheet. Citations are read from each provider's structured grounding metadata rather than scraped out of the answer prose, because prose URLs are model output and model output can be invented. And the measurement models are fixed to consumer-representative tiers rather than being cost-optimised, because measuring ChatGPT with a cheap mini model measures a product nobody uses.

Everything is stored in a SQLite database on your own machine, including the full raw response from every call, so any number in the history can be audited back to the answer that produced it. API keys are encrypted with the operating system keychain and never written to that database in plaintext. There is no telemetry, no account, and no server of ours in the path. The details are in why web-grounded measurement is non-negotiable.

How do the two compare directly?

Is $29 once really better than $29 a month?

Only if you do not need the things the subscription buys. The two prices look identical and are not comparable: one is a purchase and the other is a rate, and over a year the difference is $29 versus $348 plus whatever the Claude and Gemini add-ons cost on your tier.

What that $348 buys is real, though. It buys not creating an API key or thinking about spend; it buys runs that happen whether or not your laptop is open; it buys a URL your colleagues can open; and it buys someone else absorbing every provider API change. The desktop app replaces all of that with a Mac that has to be awake and an OpenRouter account that has to have credit.

The clean decision rule: if the reason you are looking at a $29/month tier is that budget is tight, a one-time $29 is strictly better value and covers more engines. If the reason is that you want nothing to do with API keys and infrastructure, pay the subscription — you are buying the right thing.

What about prompt limits?

Fifteen prompts on Otterly's Lite tier is genuinely tight for real measurement. Across four engines that is 60 results a run, and a prompt set that small struggles to cover the four intents that matter — discovery, comparison, alternatives and brand checks — without dropping one entirely.

This is where the bring-your-own-key model changes the shape of the problem rather than just the price. With no plan meter, the constraint is your own API spend, so going from 15 prompts to 60 costs a few more cents a day rather than a tier upgrade. The guidance on how many prompts you actually need is in AI visibility metrics that matter.

What are AI Visibility Tracker’s real limitations?

It is a single-user desktop app, and every limitation follows from that. There are no team seats, no shared web dashboard, no SSO or SAML, no SOC 2 report, and no role-based access control — if procurement needs any of those, this is not a candidate and no amount of feature comparison changes that.

• macOS (Apple Silicon) or Windows (64-bit) — not Linux, and not a hosted option. The Windows build isn't code-signed yet, so it shows a SmartScreen warning on first run.
• Scheduled runs need your computer awake. A cloud platform runs at 3am regardless; this does not.
• You manage the API key and the spend. There is a cost preview and a per-run budget cap (default $5), but the account and the bill are yours.
• No crawler or agent analytics. Knowing how often ChatGPT's crawler hits your site is a genuinely useful, genuinely different dataset that platforms collect and this app does not.
• No multi-region or multi-language answer simulation. You measure from where you are.
• No vendor-curated industry benchmarks — you get your own numbers, not a comparison against a panel of brands you do not have access to.
• Prompt volume is bounded by your own API budget and patience rather than by a plan tier, which is an advantage until you want to run thousands of prompts across many markets, at which point managed infrastructure genuinely wins.

Why can this be a one-time price when everything else is a subscription?

Because the expensive, recurring part of AI visibility tracking — running thousands of grounded engine queries every month — happens on your own API key at cost, and the software runs on your computer instead of on infrastructure someone has to keep online for you. There is no per-seat server cost for us to recover monthly, so there is no monthly bill.

That is a genuine structural difference rather than a discount, and it cuts both ways. A cloud platform charges monthly because it is running queries for you, storing your history, keeping dashboards available to your team, and absorbing every provider API change. Pay $29 once and those things are yours to handle: your computer has to be awake for a scheduled run, your API key funds the queries, and your data lives in a file you are responsible for backing up.

So the choice is not really cheap versus expensive. It is whether you want a managed service or a tool. If you have an enterprise budget and a team that lives in shared dashboards, a platform is the better product. If you want the number on your own desk every morning without a recurring line item, that is what this app is for.

How current are these figures?

Competitor pricing below was read from each vendor’s own pricing page on 28 July 2026 and is quoted with the billing basis they display. Pricing in this category changes often — check the vendor’s page before making a decision on ours.