Getmint AI is an answer engine visibility platform. It tracks how ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews mention, cite, and recommend a brand, then tries to turn the gaps it finds into content and fixes. Getmint answer engine visibility tracking is a good fit if you already know you have a problem and want repeated, multi-engine data plus a path from a gap to an action. It is a weaker fit if what you actually need is bulk keyword tracking, full traffic attribution, social listening, or a steady monthly volume of finished articles alongside the tracking, since Getmint's content allowance is capped and credit-metered per plan, which is where something like DeepSmith covers both halves on one platform. The evaluation lens here is engine coverage, how useful the metrics actually are, whether the data repeats in a way you can trust, and whether Getmint pricing lines up with what you get.
What Getmint Does
Getmint was founded in 2025 by Joan Burkovic (CEO), Matthieu Poitrimolt, and Emmanuel Costa, three founders who worked together for over a decade before this, including at Bankin' and BridgeAPI.io. The company raised a 4 million euro round in December 2025, led by Founders Future with several other funds joining in.
The product is built around three stages: measure, strategize, and grow. Measurement means running a library of prompts (the questions your buyers might ask an AI system) against the tracked engines, over and over, and recording whether your brand gets named, cited, or recommended. Strategy means finding the prompts and topics where competitors show up and you don't, and finding which sources AI systems trust in your category. Growth means turning those findings into content briefs, drafts, and eventually published pages.
Setup asks you to enter your brand, competitors, topics, and product categories, and can generate a starter prompt library from that. Getmint says you can get an initial view of your visibility within about five minutes, without booking a demo. That's a vendor claim about setup speed, not a guarantee, but the workflow is straightforward: set up, run the prompts, review the answers, act on the gaps, recheck later.
A detail worth understanding early is the difference Getmint draws between a mention and a citation. A mention is when the AI answer names your brand. A citation is when it links to your site (or someone else's) as a source. You can be mentioned without being cited, and cited without being mentioned by name. Most of Getmint's reporting is structured around that split, which is a genuinely useful way to think about AI visibility instead of treating it as one number.
Key Features
Prompt-based visibility tracking
You build a set of prompts that mirror how your buyers actually search, ranging from broad discovery questions to specific buying questions, and Getmint runs them on a recurring schedule (the visibility page says daily) across the named engines. This matters because a single manual search in ChatGPT tells you what it said once, not what it usually says. AI answers are not deterministic. The same prompt can come back differently across runs, so a one-off check is closer to a snapshot than a measurement. Repeated tracking is the only way to see whether a change is a real trend or normal variation.
What the public pages do not spell out is the sampling method behind that daily tracking: how many responses are actually collected per prompt run, whether every run uses the same model version, or how regional differences are handled. Those are reasonable questions to ask before you commit to a plan.
Metrics that go beyond a single visibility score
Getmint publishes several named metrics: mention rate, citation rate, share of voice against competitors, a qualitative brand alignment read, and an overall visibility figure. Sentiment is also tracked, meaning whether the AI's description of you reads positive, neutral, or negative. Two metrics are specific to a single engine: a recommendation rate on the ChatGPT tracker, and a citation position on the Google AI Overviews tracker, which shows where you land among the sources actually cited.
The public documentation does not give an exact formula for every metric, or explain in detail how results get aggregated across prompts, markets, and time. If exact methodology matters to how you'd report this internally, that is a fair thing to ask Getmint directly before buying.
Competitor and source intelligence
Getmint doesn't stop at whether your own brand shows up. It shows which competitors get named or cited instead of you on a given prompt, which pages of theirs get cited, and which outside sources AI systems trust in your category. That third piece, seeing which domains AI treats as authoritative, is arguably as useful as tracking your own brand, since it tells you where you might realistically compete for a citation.
Engine-specific trackers
Getmint has dedicated tracker views for ChatGPT, Perplexity, Gemini, and Google AI Overviews, each built around what makes that engine different. Perplexity shows clickable citations and can send real referral traffic, so its tracker focuses on which of your pages earn clicks. Gemini grounds its answers in Google Search, so its tracker surfaces which Google-indexed domains get cited alongside you. The AI Overviews tracker is built around triggering: which of your keywords actually cause an AI Overview to appear, whether your domain is cited inside it, and an estimated click figure for that keyword, filling a gap Google Search Console doesn't cleanly separate out. Worth noting: the traffic and click numbers here are estimates, and Getmint does not publish how it calculates them.
Getmint's homepage also advertises coverage of 10 or more engines and adds shopping-related surfaces (ChatGPT Shopping, Google AI Mode, and Alexa for Shopping, including Amazon) to the pitch, mainly for e-commerce use cases like tracking product visibility and carousel position in AI shopping experiences. The main visibility page, though, only names five engines explicitly. There's a real gap between the "10-plus" marketing number and what is actually documented, and the pricing page doesn't map specific engines to specific plans either. If full engine coverage matters to your decision, confirm it directly with Getmint rather than assuming from the homepage copy.
AI Visibility Gap Analysis
This is where Getmint tries to move from a dashboard to a to-do list. The gap analysis feature identifies prompts where AI answers without mentioning you, shows how often that prompt comes up, which competitors get named instead, and which external sites AI trusts on that topic. It also flags technical issues, like crawlability or structure problems, that might be keeping AI systems from reading your content properly, and it can point to places outside your own site (LinkedIn posts, Reddit threads, YouTube videos) where your voice is missing from the conversation. Getmint says completed actions feed into a visibility score in something close to real time, though it doesn't name which models feed that score or explain exactly how the scoring works.
One caveat the product itself is upfront about: publishing new content does not mean AI systems pick it up right away. Getmint can point you at a gap and help you produce something to close it, but there's a lag before that shows up in the answers.
Content Studio
Content Studio is what separates Getmint from a pure measurement tool. The documented workflow takes a high-volume prompt where competitors are winning, analyzes the sources tied to it, builds a content brief benchmarked against what's already ranking, and generates an article aimed at both SEO and answer-engine visibility. An Ask Expertise step lets you email in internal knowledge in about five minutes so the content reflects real expertise instead of generic model output.
For pages you already have, Content Studio connects to Google Search Console and surfaces Owned Page Opportunities: quick wins, low-click-through-rate pages, decaying content, and cases where two of your own pages compete for the same query. Getmint says it can push finished content to your CMS, but the public pages don't name which platforms are supported, so confirm that fits your stack first.
Pricing
Getmint pricing (the current official pricing page, published September 15, 2026) has three tiers, billed monthly or yearly, with yearly billing said to save 17 percent (the exact annual price isn't shown publicly, so budget from the monthly figures below).
Starter, 74 euros per month. Two topics, 50 additional tracked prompts, daily refresh, the GEO Agent, AI Shopping visibility through Alexa, one content creation and optimization allocation with 300 monthly credits, and access to ChatGPT Ads. This fits a small brand starting a narrow visibility program, but 50 prompts isn't much once your question set is broad.
Growth, 299 euros per month. Everything in Starter, plus 300 additional prompts, five topics, unlimited users, multi-country coverage, and six content creations and optimizations with 2,000 monthly credits. This is the plan built for an actual marketing team, and the jump from 74 to 299 euros makes more sense once you have a process for acting on what the tracking finds, not just watching a score.
Enterprise and Agency, custom pricing. Custom prompts, custom topics, API access, a dedicated AI Search strategist, role-based access control, and custom workflows, aimed at multi-brand organizations and agencies. None of the price, brand limits, or overage terms are public, so you'd need a proposal from Getmint to evaluate this tier properly.
Getmint also offers a free entry point: one brand and ten tracked prompts, no credit card required, with a first gap analysis promised in around five minutes. The public pages don't call this a time-limited trial or state a duration, so treat it as a free look rather than a dated trial.
One flag worth naming plainly: an older vendor-published review article lists a different table entirely (99 euros for Starter, 299 for Growth, 549 for Enterprise, with different engine and prompt counts), and a third-party profile lists yet another set of numbers. The current official pricing page is the newer, more authoritative source, and the figures above come from it. If you see the older numbers elsewhere, they're outdated rather than a second valid option.
Getmint is priced like a strategic tool, not a bulk keyword tracker, which is a fair way to price something built around prompts and gap analysis rather than volume. Whether it's worth it comes down to whether your team turns the visibility data into decisions, not whether the visibility score alone looks good.
Where It Falls Short
Full engine coverage is not documented clearly. The "10-plus engines" claim on the homepage doesn't match the five named on the main visibility page, and there's no plan-by-plan breakdown of which engines you get at each price point. Ask before you sign up if this matters to you.
Prompt limits may feel tight if you're used to conventional rank trackers that handle thousands of keywords cheaply. 50 or 300 additional prompts works for a narrow visibility program but is restrictive for a large catalog, many markets, or an agency managing several clients.
Visibility is not traffic or revenue. Getmint measures mentions, citations, recommendations, sentiment, and share of voice, and while the Perplexity and AI Overviews trackers touch on referral traffic and estimated clicks, that's not full attribution back to pipeline or revenue. You'll still need your regular analytics stack alongside it.
The underlying data is inherently noisy. Getmint's own pages for ChatGPT, Gemini, and Perplexity all note that the same prompt can return a different answer on different runs. That's how these AI systems behave, not a flaw specific to Getmint, but it means the numbers should be read directionally over weeks, not as a single precise reading.
It's not a social listening tool. Getmint tracks how AI systems interpret and cite conversations on LinkedIn, Reddit, and YouTube, but it doesn't directly monitor those platforms the way a dedicated social listening tool would.
Public documentation has real gaps: data retention, exact CMS integrations, API scope outside Enterprise, refund terms, and service-level commitments aren't published. That doesn't mean the capabilities don't exist, but it means you should ask rather than assume.
Independent validation is thin and inconsistent. A G2 profile shows 4.8 out of 5 from seven reviews, marked as managed by the company itself. A separate review-analysis page, meanwhile, describes essentially no independent reviews on major platforms. With numbers that small and inconsistent, it's not a reliable signal either way. The vendor's own case studies, including a claimed 71 percent share of voice for one customer and a 15 percent visibility increase in 90 days for another, are testimonials, not independent studies.
Who Should Use It
Getmint fits a marketing lead or SEO director who already has a defined AEO or GEO priority: you know your core products, competitors, and the buying questions your prospects ask, and want structured tracking across several AI engines rather than an occasional manual search. It also fits CMOs who want an executive view of brand presence in AI answers, e-commerce teams watching product visibility in AI shopping surfaces, and agencies reporting AI visibility across several clients.
It's a weaker fit if you need thousands of conventional keywords tracked cheaply, full website analytics and revenue attribution, direct social listening across X, TikTok, or Reddit, or a fully documented model-by-model coverage matrix before you'll sign anything. It's also not the right tool if all you want is a writing assistant with no interest in the visibility side, since that's what Getmint is actually built around.
Alternatives to Consider
Getmint sits in the AI-search visibility category alongside other tools built to track brand mentions and citations across AI answer engines. Coverage and methodology differ enough between them that it's worth comparing at least one or two before committing.
DeepSmith. DeepSmith tracks the same kind of data Getmint does, mention rate, citation rate, share of voice, sentiment, and competitor citations across named AI engines, and then produces the publish-ready articles meant to close the gaps it finds, from the same brand context and the same data. Plans are $99, $199, and $399 per month for 20, 40, and 90 articles a month, with engine coverage stated per tier (ChatGPT on Pro, Perplexity added on Grow, Gemini added on Scale, all ten engines on Enterprise) and publishing straight to WordPress, Webflow, Strapi, Sanity, or Contentful. It is the alternative on the axis where Getmint's content allowance is credit-metered and its engine-to-plan mapping is not published, not on Getmint's e-commerce and AI shopping surfaces, which DeepSmith does not track.
Profound. Profound is positioned at the enterprise end of the category, with pricing quoted on request rather than published, so it suits large brands that want a procurement conversation more than a self-serve start.
Otterly. Otterly markets itself as a lower-cost, self-serve entry point into AI-search monitoring with published plans, which makes it easier to try if you want a narrow prompt set tracked without a sales process.
Peec. Peec is a European AI visibility tracker that markets to in-house teams and agencies, and is worth a look if multi-client reporting is the part of the job you care about most.
Is Getmint Worth It
Getmint is worth it if you have a real, defined AI-search visibility problem, need tracking across several answer engines, and are prepared to act on the gaps it surfaces rather than just watch a score. The mention-versus-citation framing and the competitor and source intelligence are genuinely useful ways to think about AI visibility, and the path from a gap into a content brief is a real strength if execution, not measurement, is your bottleneck.
It's harder to justify if you need bulk keyword tracking, complete traffic and revenue attribution, direct social listening, or full certainty about which models your plan includes before you commit. The engine-coverage claims aren't as transparent as they could be, so go in ready to ask Getmint pointed questions rather than relying on the homepage copy.
The specific gap this review keeps landing on is volume on the production side. Getmint does generate content, but the allowance is credit-metered, one content creation and 300 credits on Starter, six and 2,000 credits on Growth, which is enough to act on a handful of gaps a month rather than to run a publishing program. DeepSmith works on the other side of that same problem: it tracks the same visibility data, mention rate, citation rate, share of voice, and competitor citations, and then produces 20, 40, or 90 publish-ready articles a month depending on plan, grounded in your stored brand context and pushed straight to your CMS, so measurement and production run off one data set instead of two tools passing a spreadsheet back and forth. On Getmint's e-commerce and AI shopping surfaces it is not the alternative, since DeepSmith does not track those, but on sustained, on-brand production against the gaps you find, it is.
If that gap sounds like yours, start a free trial with DeepSmith to see visibility tracking and content production on one platform. Otherwise, Getmint's own site runs a free gap analysis in a few minutes.
