What is Aicial?+
Aicial is AI for social media, built in Australia. It turns your posts, messages and deals into revenue evidence: outcome-proof reports, niche benchmarks with published sample sizes, and account protection for creators, brands, media publishers, agencies and enterprise teams.
How does Aicial prove revenue from social media?+
You connect your accounts and commerce tools: UTM links, promo codes, GA4, Shopify, Stripe. Aicial joins outcomes to content and assembles sponsor-ready and CFO-ready proof packs. Modelled attribution is always labelled as modelled, and every claim states its coverage.
Which platforms will Aicial support?+
We launch on open, officially supported surfaces first, including Bluesky and Threads. Instagram, TikTok, LinkedIn and Pinterest arrive as platform app reviews complete, and X is planned as a metered add-on. The product states its coverage on every report.
Will Aicial sell fake engagement or growth hacks?+
No, never. Our published Ethics Charter rules out fake engagement, follower buying, engagement pods, mass-DM automation and undisclosed AI. Optimisation applies only to your own content. When a feature needs the charter read twice, we drop the feature.
What happens to my data?+
Your data stays yours. You consent separately before anything enters a benchmark, cells hold at least 20 accounts, you can export everything, and deletion reaches every copy. We broker no data. Benchmarks are aggregates, never profiles of individuals.
How does the waitlist work?+
We invite in small cohorts so early benchmarks carry honest sample sizes. You can share your handle, brand and audience size; we review complete profiles first when matching cohorts across creator tiers, brands, agencies and publishers. Priority review moves you earlier in the queue, nothing more.
Where is Aicial available?+
Aicial launches from Australia and works worldwide, in English (Australian, British and American), Simplified Chinese, Hindi, Spanish and French. Niche benchmarks begin with Australian cells and expand as consented panels grow, with sample sizes published as they do.