Prove your earned work moved the AI answer.

Media monitoring tracks where you were published or mentioned; Zicy tracks whether that coverage changed what AI says about your client. Traditional tools stop at the clipping; Zicy connects the earned coverage to movement in the AI answer across all five engines.

Because the coverage is increasingly read by a machine, then summarised to the buyer. More than 1 billion people use standalone generative AI tools every month (Meltwater & We Are Social, Digital 2026, via Similarweb), and the framing AI repeats is the framing that reaches the decision, not the original article.

A reputation metric the C-suite already respects: AI Share of Voice, mention coverage, citation rate and sentiment, tracked weekly across five engines. It's defensible, comparable to competitors, and tied to the answers buyers act on.

Yes. That's what Citation Analysis is for. It shows which sources AI cites about your client, classified as owned, earned, competitor or uncited, so you connect the placement you landed to movement in the answer rather than asserting a link.

Yes, Citation Analysis shows which sources AI draws on when it answers about your client's category, classified as owned, earned, competitor or uncited. That turns an earned-media plan from a guess into a targeted list of the outlets AI actually cites, by engine.

No. Zicy measures and proves; it does not place coverage. Your team earns the media on its merits, and Zicy shows whether it moved the answer. It makes your work measurable, not redundant.

First you see it early through the Reality Score and sentiment surveillance; then you act through legitimate channels, if the framing is inaccurate, you guide a correction with the publication or platform; if it's accurate criticism, it goes back to the client as an operational issue. The one thing Zicy will not do is manufacture or suppress sentiment.

Yes, Competitor Sentiment Profiles and Citation Analysis flag when a competitor or an unfavourable source is shaping how AI frames your client, and which sources are driving it, while there's still room to respond.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.