AI Visibility Tracker vs Peec AI
Peec AI is a cloud AI-visibility platform for SEO teams and agencies, priced by tracked prompts and models — $80/month on annual billing at the entry tier, rising to $420/month, with unlimited users on every tier and enterprise quote-only. AI Visibility Tracker covers the same measurement loop — daily grounded prompts, citation checking, per-engine scoring, competitor gaps — as a macOS desktop app you buy once for $29, no subscription, running on your own API key. Peec wins decisively on team and multi-market work; the desktop app wins on cost, privacy and data ownership.
Last updated 2026-07-28
What is Peec AI?
Peec AI is a web platform that tracks brand visibility and citations across AI search surfaces, positioned for marketing teams and SEO agencies. Its published tiers ran from $80/month billed annually ($95 monthly) for 50 prompts and a choice of three models, up to $420/month annually for 350 prompts across five projects and three countries, when we checked on 28 July 2026.
Two design decisions make it distinctive. Every tier includes unlimited users, which is genuinely unusual in a category that normally charges per seat. And countries and languages cost nothing extra — the meter is prompts and models, not regions — which makes multi-market tracking substantially cheaper here than at vendors that price per locale.
Where does Peec genuinely win?
- Unlimited seats on every tier, including the cheapest one. If several people need to look at the same dashboard, this is a real and unusual advantage, and a desktop app cannot answer it at any price.
- Multi-market tracking without per-region fees. If you track the same brand across several countries or languages, the pricing model works strongly in your favour.
- Agency workflow. Prompt pools shared across projects and brands, agency bundles and centralised billing are built for people managing many clients — which is exactly the shape of work a single-user desktop app handles worst.
- Managed execution. Runs happen on their infrastructure on schedule, and provider API changes are their problem, not yours.
- Integrations on higher tiers, including Looker Studio for reporting into an existing stack.
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?
| AI Visibility Tracker | The alternative | |
|---|---|---|
| Pricing model | One-time purchase — $29 once, no subscription ($79 after the launch window) | Subscription by prompt volume and models — $80/mo annual to $420/mo annual as published; enterprise quote-only |
| Seats | One user, one machine at a time (the licence is movable) | Unlimited users on every tier — a genuine strength |
| Engines covered | ChatGPT, Claude, Gemini, Perplexity, Grok — all five, always | Choose 3 models per tier from ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity and Gemini; Claude and others are enterprise-only |
| Extra engines | Included — there is no per-engine charge | Additional models are a paid add-on per tier |
| Multi-market | Not supported — you measure from where you are | Countries and languages included; the meter is prompts, not regions |
| Where data lives | Local SQLite on your machine | Peec’s cloud |
| Prompt limits | Bounded by your own API budget, not a plan tier | Metered per tier — 50 to 350 prompts on published plans |
| Platform | macOS (Apple Silicon) and Windows (64-bit) | Web |
Which is cheaper over a year?
The desktop app, by a wide margin, and the comparison is not really close enough to be interesting. One year of Peec's entry tier at $80/month billed annually is $960; AI Visibility Tracker is $29 once plus your own API usage, which for a core prompt set across five engines typically runs to a few cents a day.
The honest caveat is that this arithmetic only matters if the products are substitutes for you, and for a team they are not. If three colleagues need dashboard access, Peec's unlimited seats are answering a question the desktop app cannot answer at any price — and paying $960 to solve a real organisational problem is better value than paying $29 to not solve it.
A warning about Peec prices you find elsewhere
Do not trust third-party comparison articles for Peec's pricing. A widely-repeated figure across several 2026 blog posts quotes Peec in euros at roughly €89/month for the entry tier — which does not match what Peec's own pricing page displays today, in dollars, at a materially different number.
The underlying cause is that their pricing is rendered client-side, so tools that scrape raw HTML see no numbers at all and fall back on repeating each other. This is a good general lesson for this category: read prices off the vendor's page in a real browser, and treat every comparison article, including this one, as dated the moment it is published.
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.
Frequently asked questions
How much does Peec AI cost?
When we checked their pricing page on 28 July 2026, Peec published $80/month billed annually ($95 monthly) for the Starter tier with 50 prompts and three models, $205/month annually for Pro, and $420/month annually for Advanced, with enterprise quote-only. Every tier includes unlimited users. Third-party articles quoting euro prices for Peec are out of date.
Is there a free Peec AI alternative?
There are free local-first options — a free macOS utility called Ahoy Lighthouse and the open-source geo-aeo-tracker project — but both require you to supply your own API keys and neither is a managed service. AI Visibility Tracker sits between them and a subscription: $29 once, no subscription, with a 7-day free trial.
Can I track multiple client brands with a desktop app?
Yes, up to a point. AI Visibility Tracker supports multiple projects with separate brand profiles, prompt sets, competitors and even API keys, so a handful of client brands is fine. What it does not do is give each client a login or produce agency-branded shared dashboards, which is where a platform like Peec earns its subscription.
Why is a one-time price even possible when platforms charge monthly?
Because the expensive part — running the engine queries — happens on your own API key at cost, and the software runs on your computer rather than on hosted infrastructure. There is no per-seat server cost to recover monthly. The trade is that you supply the API key, your machine has to be on for scheduled runs, and your data is yours to back up.
What am I giving up versus a cloud platform?
Managed infrastructure, team collaboration and seats, SSO and compliance paperwork, crawler and agent analytics, multi-market simulation, and vendor-curated benchmarks. The measurement itself — grounded prompts, citation checking, per-engine scoring, competitor gap analysis — is the same discipline done the same way.
Do I still pay for AI usage on top of the one-time price?
Yes, directly to the provider at cost — there is no markup and no meter of ours in between. A core set of 10–15 prompts across five engines typically runs to a few cents a day. The app previews the projected cost before each run and skips runs that would exceed your budget cap.
Is my prompt set visible to anyone else?
No. Prompts, answers, scores and competitor data stay in a local SQLite database on your machine, and API keys are encrypted with your OS keychain. The app has no telemetry and no account system. The only outbound traffic is to the AI providers you configure, an optional Slack webhook you set up yourself, and the licence check.