Sell advertising as measurable AI-visibility uplift, not just impressions.

AI citation is when an engine attributes and links your journalism as a source in its answer, rather than paraphrasing it without credit or ignoring it. As referral clicks fall, citation is becoming the unit of value publishers measure, defend and license.

An uncited rate is the share of cases where an AI engine draws on your reporting without attributing or linking it. Zicy measures it down to the individual URL across five engines, giving your commercial team an evidence base for licensing conversations rather than an anecdote.

It lets you sell advertising as measurable AI-visibility uplift, not just impressions. Zicy tracks an advertiser's visibility across all five engines and their branded-search movement from public search data, so your sales team can show the lift a campaign produced, the demand signals independent research ties to AI citation (Growth Memo, Kevin Indig, 2025).

No, and that distinction is the whole point. AI engines don't read the ad. They read the branded search and web mentions it creates (Brafton, 2026), and those signals are stronger predictors of AI citation than backlinks (Growth Memo, Kevin Indig, 2025; Digital Bloom, 2026); Zicy measures the movement. It is a measured correlation, not a guaranteed citation, and it stays on the endorsed side of Google's May 2026 spam-policy guidance, paid placements carry rel="sponsored" or rel="nofollow", sponsored editorial is disclosed, and no paid link passes ranking signal.

Because editorial creates the signal AI weights most. Web mentions are the single strongest predictor of AI citation, at about 0.66, roughly three times backlinks (Digital Bloom, 2026), and on a cited title genuine editorial can become a source in its own right, while display advertising mainly lifts the weaker branded-search signal (Brafton, 2026). You can price and position the two tiers accordingly.

Yes, and that's precisely what Citation Analysis does. It shows whether AI attributes your work, paraphrases it without credit, or ignores it entirely across five engines, down to the domain and URL, so you can track attribution the way you already track traffic.

Because attribution is the new referral. News leaders expect to lose significant search-referral traffic within three years (Reuters Institute, Journalism, Media & Technology Trends and Predictions 2026), and the click-through to an AI Overview's own citation links sits around 1% when present (Pew Research, 2025); the publishers who measure attribution now are the ones positioned to license and defend it later.

Competitive AI Performance shows, query by query, which outlets AI credits across all five engines, so you see where a rival title is taking the citation and where you still hold it, rather than guessing at your standing.

Part of it is squarely in your hands, being machine-readable. The Site Audit checks whether AI crawlers can read and attribute you (llms.txt, bot access, schema, page health), so credit isn't lost to a technical gap, and the uncited rate gives you the evidence base for everything that isn't technical.

Key Topics Analysis shows it directly, Leaders, Battlegrounds and Blind Spots, across the topics that define your title, turning "AI is taking our work" into a commissioning and attribution plan.

Yes. This is one of its strongest uses. A documented uncited rate and source-level attribution data give your commercial team an evidence base for licensing conversations and the boardroom, rather than an anecdote, at a moment when publishers from the Associated Press to USA Today are signing AI content deals while others litigate over uncited use (Digiday; Press Gazette, 2025–26).

That's a real strategic choice, and Zicy lets you make it with data instead of a guess. It shows the trade-off between being cited and attributed versus scraped without credit, by engine and by topic, so the decision is measured.

It reads the same signals, but the lens for you is attribution, topic authority and commercial opportunity, not lead generation, Citation Analysis, Key Topics and the Site Audit are framed around who's using your work, where, and with what credit, alongside the media-sales tracking above.

The Site Audit inventories and checks the archive, and audit-boost add-ons scale to large sites, so you can assess attribution and machine-readability across thousands of pages without a rebuild.

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.