AI is your brand’s new first impression. Make it the one you built.
Every day, buyers, partners and journalists ask AI about your category and act on the answer before they ever reach your site. Zicy shows you what AI says about you across all five major engines, whether it’s accurate, and how to fix what’s wrong, then ties the fix back to demand.
Running the business yourself, or a small team? See Zicy for small businesses.
At a glance
- Zicy shows brands exactly how AI answer engines describe and recommend them, and where rivals are winning the answer instead.
- It tracks brand mention coverage, citation rate, and AI share of voice across the five major AI platforms, so marketing can report AI visibility the way it reports any other channel.
- Built-in diagnosis points to the specific topics, queries, and sources to fix first, turning monitoring into an action plan.
You can’t manage what you can’t see, and you can’t see this in your analytics.
When AI misdescribes you, or names a competitor in your place, the decision is shaped before anyone reaches your site. It never shows up in your funnel, because the conversation never touched it. More than 1 billion people now use generative AI every month (Meltwater & We Are Social, Digital 2026). 45% of B2B buyers used generative AI to research vendors and products in a recent purchase (Gartner, n=645, 2025). The answer they get is increasingly the shortlist.
Competitors measure. Zicy proves.
Truth, not just mentions.
Most trackers tell you whether you were named. Zicy tells you whether what AI said was true. The AI Reality Score flags hallucinations, outdated claims and wrong facts before a buyer ever sees them. Each flagged issue can be verified or rejected, then escalated straight into a prioritised fix backlog. Detection is table stakes: Zicy routes it to remediation.
Every engine, every language.
APAC-native coverage across all five engines and the languages your buyers use, not English-first with everything else an afterthought.
The whole loop, not just the scoreboard.
Measure, then diagnose the cause, then act (schema, llms.txt, content), then prove it moved demand. Other tools hand you a dashboard and stop.
What changes on Monday.
- Catch a hallucination or an outdated claim before it costs you a deal.
- Know exactly where a competitor is winning the answer, and why.
- One board-ready number, your AI share of voice, tracked over time.
- Start every quarter knowing what AI says about you, not hoping.
One number your CFO will accept.
Does winning the AI answer move demand? Zicy connects AI-referred sessions and branded-search behaviour from GA4 and Search Console to the visibility work, so AI share of voice stops being a vanity metric and becomes a line you can defend in a budget review.
The modules that do the work.
Brand Intelligence
How AI describes you, the AI Reality Score, the entity gaps behind low confidence, and a prioritised action plan.
Key Topics
Your category split into the topics you lead, the battlegrounds, and the blind spots where AI credits a competitor instead. A budget-allocation map, not a keyword list.
Citation Analysis
Every source AI cites about you, classified owned, earned, competitor or uncited. One number for how much of your own story you control, down to the individual URL.
AI Visibility
Mention coverage, citation rate, share of voice and average ranking, against the competitors you actually worry about.
Brand Sentiment
The language AI attaches to your brand, and the sources moving it.
Action Center
Schema and llms.txt generators, content fixes, built to current best practice.
Site Traffic
AI-referred sessions and downstream engagement, tied back to the work.
New to Zicy? The help centre has a step-by-step guide for brands.
From a near-zero baseline to nine in ten AI answers.
Measurement: AI brand mention and citation rates across tracked category queries on ChatGPT, Gemini and Perplexity, via Zicy’s measurement infrastructure. Client anonymised pending naming permission.
Questions brands ask.
How do I know what AI is saying about us right now?
You start a free trial and see it in minutes, where you're named, cited, described inaccurately, or replaced by a rival, across all five engines. It surfaces the conversation that never touches your analytics, because it happens before the buyer reaches your site.
Do our buyers really choose this way, or is this overstated?
The behaviour is already mainstream: 62% of consumers trust AI tools to guide brand decisions (Yext / Researchscape, n=2,237, 2025), 45% of B2B buyers used generative AI to research vendors and products in a recent purchase (Gartner, n=645 B2B buyers, 2025), and 65% of CMOs expect AI to dramatically change their role within two years (Gartner, n=402, 2025). The question has shifted from whether buyers ask AI to whether your brand is in the answer when they do.
Isn't our SEO team already handling this?
No, and that's the common trap. Only 12% of AI-cited links also rank in Google's top 10 (Ahrefs, 15,000 prompts, 2025), and just 38% of AI Overviews citations now come from pages ranking in the top 10, down from 76% a year earlier (Ahrefs, 863,000 keywords, 2026). A strong Google position no longer guarantees a place in the answer; AI visibility runs on different signals.
We already pay for a tracker or a mention monitor. What does Zicy add?
Most tools tell you whether you were named; Zicy tells you whether what AI said was true, why, and how to fix it, then connects the fix to demand. That's the full loop rather than a dashboard that stops at the scoreboard, and the truth layer is the part no measure-only tool runs.
What if the AI is simply wrong about us?
That's the problem Zicy was built for. The AI Reality Score flags hallucinations, outdated claims and wrong facts before a buyer sees them, a mention is worth little if the claim attached to it is false.
How do I justify this to my CFO?
You give them one board-ready number, your AI Share of Voice over time, and the proof layer that connects AI-referred sessions and branded-search behaviour back to the work, so AI visibility reads as a defensible line item rather than a vanity metric.
General questions about Zicy and AI visibility.
What is AI visibility?
AI visibility is how often, how accurately, and how prominently a name appears in the answers AI engines give when people ask about its category, across ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode. It is distinct from search rankings: something can rank on Google's first page and still be absent from the AI answer.
What is AEO or GEO?
AEO (answer engine optimisation) and GEO (generative engine optimisation) are the practices of making a name accurately findable and citable in AI-generated answers, rather than ranked in a list of links. They address AI engines, ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode, where SEO addresses traditional search results.
How is AI visibility different from SEO?
SEO optimises where pages rank in a list of links; AI visibility determines whether a name is mentioned and cited in a synthesised answer. They run on different signals, only 12% of AI-cited links also rank in Google's top 10 (Ahrefs, 15,000 prompts, 2025), so a strong SEO position does not guarantee a place in the answer.
What is AI Share of Voice?
AI Share of Voice is the percentage of AI answers in a category that mention a given name, measured against a tracked competitor set. It is the headline metric Zicy reports, because it reflects the answers people act on rather than the rankings or impressions older metrics counted.
Which AI engines does Zicy track?
Zicy tracks five engines: ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode. Each weights sources differently, so coverage across all five, rather than any single one, is what gives a defensible picture.
How does Zicy know what the AI said, does it scrape, and is it reliable week to week?
Measurement uses legitimate API access where available and respects platform terms of service, no machine-generated rank-checking traffic. Tracking is weekly by design, because answer engines evolve gradually; weekly surfaces meaningful shifts and filters out the noise daily tracking would invent.
How quickly does AI visibility change once you act?
AI visibility shifts gradually rather than overnight, because the engines rebuild entity understanding and retrieval over time rather than on a fixed schedule. Zicy tracks weekly so you can watch movement against a baseline as fixes, content and earned coverage take effect, rather than waiting for a single before-and-after snapshot.
Could using this get us penalised by Google?
No, the approach is the opposite of manipulation. Zicy's tooling is built to current best practice and aligned with Google's May 2026 spam-policy update covering AI Overviews and AI Mode; the work is to make genuine expertise easier for AI to find, verify and trust, not to game it.
What does it cost, and what are we locked into?
Plans run from $79 a month (Starter) to $449 (Scale), with custom Enterprise; Starter and Growth include a 7-day trial, the annual plan gives thirteen months for twelve. The platform is self-serve with no lock-in.
Why a tool built in Penang rather than a US platform?
Because coverage in your markets and languages is the starting point here, not an afterthought. APAC-native coverage across all five engines and the languages your buyers actually use is built in, and Zicy operates under Malaysia Digital status.
See your brand the way AI describes it.
Paste your website URL and Zicy builds your brand profile and generates buyer-intent prompts for you, so your first results across all five engines arrive in minutes.
7-day free trial, no card required. No commitment, no lock-in.