Walk into the room with the client’s live AI visibility, not a generic deck.

Yes, the Enterprise tier provides white-label dashboards under your own name, so the audit, reporting and fixes are presented as your agency's service. The platform and methodology sit behind your brand, with no build cost and no specialist hire.

You walk into the room with the client's live AI visibility, not a generic deck, show a prospect exactly how AI describes them today, where it's wrong, and your plan to fix it, before anything is signed. The agency that answers first takes the budget.

The category is funding and forming now: more than $300M was raised across AI-visibility tools between mid-2025 and spring 2026 (Surmado, 2026), and the GEO services market was valued at US$886M in 2024, projected to reach US$7.3B by 2031 (Valuates Reports, 2025). The service line is open before it's crowded.

You show them rather than explain it, present how AI describes them today across five engines, where it is wrong, and which rivals appear in their place. A live result lands faster than a definition, and it reframes the conversation from "what is this" to "how do we fix it".

No, the platform and the methodology already exist, so you productise AI visibility as a retainer or a one-off audit under your own brand, with no build cost and no specialist hire.

Zicy measures and remediates in one place: the audit, the prioritised fix list, and the schema, llms.txt and content tooling to close it. That's the category's weakness and your opening. You sell the fix and show the result, not just the problem.

Agencies typically package it three ways: a quick AI visibility baseline as a new-business wedge, a monthly retainer reporting AI Share of Voice and the fixes shipped against it, or a one-off audit-and-remediation engagement. The same Zicy loop (measure, diagnose, act, prove) supports all three without separate tooling.

Every plan includes unlimited projects and brands, and the Enterprise tier adds multi-brand management built for a portfolio, so each client is tracked and reported separately from a single login with your agency's brand on every report.

It gives you a recurring metric clients want reported every month and a visible stream of fixes shipped and gains shown. Retention follows proof, and the loop (measure, diagnose, act, prove) is built to produce it.

The workflow is productised: audit, prioritised fix list, then the tooling to execute, so a generalist team can deliver without an in-house AEO specialist.

Yes, and that protects your agency, not just the client. The tooling is aligned with Google's May 2026 spam-policy guidance, so you're reselling the endorsed side, clarity, accuracy and demonstrable expertise, rather than tactics that could later be flagged.

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.