DataEase AI publishes 3 founder use cases, each written around a situation rather than a feature: you are invisible in AI answers, you never get around to publishing, or you lose every head-to-head question. Each one names the exact workflow that closes the gap.
100 free credits. No credit card, no trial timer.
Three things, and each has its own use case: get your brand named and cited in AI answers, get a blog post written from a real content gap by an agent, and win the head-to-head questions where a buyer compares you against 3 named competitors.
DataEase AI is a Brand Presence Intelligence platform, which in practice means an autonomous agent workforce watches how your brand appears in AI assistants, benchmarks you against competitors, and executes improvements while you approve the high-impact ones. Brand Intelligence is the core surface. FormsAI, Pages, the Dashboard, and AI Agents are supporting capabilities that feed it, so what one of them learns is immediately available to the others.
The situation: buyers keep saying "I asked ChatGPT" and your name never comes up. You have no presence in the answer at all.
The 90-day workflow that takes a startup from invisible to consistently named.
Read the AI citation playbook →The situation: you know which posts would help, and you have not written one in four months because shipping the product came first.
A scan finds the gap, an agent ranks it, and the Blog Creator writes the post.
See the autonomous blog workflow →The situation: your overall number looks respectable, yet you are absent every time a buyer asks who is better than a named rival.
Question-level head-to-head comparison across 6 question types, not one average.
See how to win comparison questions →Start with the AI citation playbook. It produces the baseline the other 2 depend on, because you cannot pick a comparison question to win or brief a blog agent on a real gap until a scan has told you where AI assistants place you today.
None of the three needs a paid plan to begin. Adding a brand domain grants 100 free credits, and brand discovery - your competitors, your personas, and the questions buyers really ask - does not consume any of them. Unattended scheduled agents are the one thing that needs Growth or Business.
They form one loop on a single data graph. The citation playbook measures where you stand, the comparison use case tells you which of the 6 question types to fix, and the blog workflow closes that specific opportunity with a published post that gets re-measured.
That loop is the point. A finding that surfaces while you are studying a head-to-head question becomes an open opportunity, and an open opportunity is exactly what the Blog Creator uses as its brief when it drafts autonomously. When the post is live, re-auditing that single page costs 1 credit and returns in roughly 6 to 12 seconds, instead of re-running the full crawl. Outcomes are then judged as matched pairs, the days after a fix against the same number of days before it, and nothing is judged before 7 days have passed.
There is deliberately no predicted score lift anywhere in that loop. Two estimators were built and then deleted because the numbers were invented, so what you see instead is impact and effort, plus a measured before and after. If you want the underlying discipline rather than the workflow, read the answer engine optimization guide and the Brand Presence Intelligence category primer.
The 5 questions below are the ones founders ask before picking a use case: how many there are, whether a paid plan is required, where a brand new startup should begin, whether the workflows can run together, and which AI assistants are covered.
Three pages sit directly behind these use cases: the Brand Intelligence surface that runs them, the market share view that shows your rank-weighted share of category answers, and the AI Agents page describing the 6 named agents that do the work.
Add your brand domain and DataEase AI grants 100 free credits immediately, with no credit card and no trial timer. Discovery is free, every scan shows its price before it runs, and a failed run refunds its credits automatically.
Start for free →Last updated: August 18, 2026 - Reviewed by the DataEase AI editorial team