encestarts with your voice.
Learns from your posts and their results, gets what your audience actually reacts to, and writes to grow your reach.















One voice. Native to every platform.
INFLU maintains a single profile of your voice and carries it to each platform — accounting for format, mechanics and audience behavior, from an X thread to a Reels script.
Three steps to a post that lands
No fine-tuning, no heavy setup. Your voice is built once and stays with you.
Connect your posts
Paste links or import an account. INFLU reads the text and the metrics, what actually resonated.
Your voice profile is built
Slang, rhythm, hooks, taboos, and what truly landed with your audience by resonance, not raw likes.
Generate in your voice
Give it a topic, get a post in your delivery, grounded in fresh facts via web search.
Same model. Different data.
Both posts were written by the same top-tier model. One got just the topic. The other got the author's voice profile and audience metrics. Pick the better one.
Topic: Waking up to commits your AI agents merged overnight
Voice: Andrej Karpathy
What it costs
Less than an hour of a copywriter's time, for a month of posts in your voice. Credits go on generations: a post, a thread, or a video script, for any platform. As your reach grows, you grow plans.
Frequently asked
If you still have a doubt, it's most likely covered here.
ChatGPT starts from zero every time: it doesn't know your voice, your audience, or what resonates with it. INFLU builds a voice profile from your real posts once — verbatim phrasing, rhythm, hooks, taboos — keeps your top posts by resonance, and feeds all of it into every generation automatically. No prompt engineering: you give a topic, the rest is already in the system. The blind test above is exactly this difference.
The voice profile isn't an abstract 'friendly tone'. It's your verbatim slang with exact spelling, signature openings, sentence rhythm, sign-off, and taboo topics, extracted from your posts. The profile is transparent: you see exactly what INFLU understood about your voice and can update it. 10 to 30 posts are enough to start — paste links or just point at an account and the import picks what matters. More data and more of your edits means a tighter match.
The opposite — that's what the 'proven author's voice' mode is for. Point at a strong author in your niche, and INFLU breaks down why their delivery works: the hook, the structure, the rhythm. It then writes in that manner on your topics — borrowing the craft, not their facts or biography. Once your own posts and metrics accumulate, you switch to your own voice.
This is one of INFLU's core differences. Global tools write noticeably worse outside English: stiff phrasing, calques, a lost tone. We hold non-English languages to the same standard as English: the voice profile is built in the author's language, slang is preserved with exact spelling, and output quality is tested in that language specifically.
Telegram, X, Instagram, TikTok, and YouTube. One result is shaped natively for each platform: a text post, a tweet or a thread, a caption with hashtags, or a vertical video script at 15, 30, or 60 seconds — with spoken lines and on-screen text. Hard platform limits (280 characters on X, 2,200 on Instagram, and so on) are enforced automatically; long text gets carefully compressed, not cut off.
For posts that need facts, web search kicks in: INFLU gathers fresh data first — with date checks so nothing stale slips in — and only then writes the post on top of it. And crucially, you always see the text before publishing — nothing unverified goes live.
Never. INFLU has no access to publishing: it proposes, you decide and publish. That's a product principle, not a version limitation: the author always stands between generation and going live, which keeps the cost of error low.
A credit is one generation. A simple post costs 1 credit; heavier operations — a post with web facts, a video script, an account analysis — cost more, and the price is visible before you run anything, so there are no end-of-month surprises. The pool renews monthly. Starter covers one author posting regularly; if you run several platforms or clients, look at Pro and Agency.
Your posts and metrics are stored as your profile and used only in your generations. The shared model is not trained on them — your voice lives in data, not in model weights, so your manner can't leak to other users. On request, we delete everything completely.
Stop sounding like everyone else.
You've already seen the difference. Next: your posts, your audience, your voice.