Research used to be something you read carefully, nodded at, and then re-explained from memory in a prompt three screens later. Now it simply becomes part of how Aiter writes.
Research now feeds every word Aiter writes
Competitor Analysis, Market Trends, Target Audience and Reviews Analysis used to live in their own tabs. Now their summaries flow automatically into every downstream generation across Google Ads, Meta, LinkedIn, TikTok, Facebook, Instagram, YouTube, blog, emails and SEO. Run any of them once and the rest of Aiter writes with that context baked in. Your competitors' positioning, the trends shaping your category, the words your buyers actually use, and the recurring themes from real customer reviews.
You stop re-explaining your market in every prompt. Generations get sharper because the whole picture is there, not just the brief, and the more research you run, the better everything afterwards gets, without you doing anything extra.
The two pieces doing most of that work are competitor analysis and audience research. On why the second one matters more than most teams think, this is the argument.
Audience and reviews research go deep
Personas and review mining both got sharper, with more real-world evidence and less invented marketing theatre.
Target Audience, grounded in real humans
Target Audience now runs as the same multi-step deep research pass as Competitor Analysis and Market Trends, pulling from real LinkedIn profiles, Reddit threads, App and Play Store reviews, X conversations, YouTube and TikTok comments, and niche communities. Every segment is clustered from actual posts, with verbatim quotes you can trace back to a platform.
Each report ranks 4 to 6 distinct segments from most to least relevant.
Every segment covers who these people actually are, demographics and firmographics, the words and slang they really use, top pains with real quotes, desires and jobs-to-be-done, objections, the best channels to reach them (named subreddits, groups, creators, hashtags, never a generic "social media"), and three to five punchy hooks written in their own voice.
Reviews Research, mined from real customer voices
Reviews Research runs as the same multi-step deep research pass as Competitor Analysis, Market Trends and Target Audience, reaching across G2, Capterra, Trustpilot, App Store, Google Play, Reddit and trusted blog reviews. It clusters what real customers say about your product into themes, sentiment, vocabulary, recurring objections and unmet expectations, with verbatim quotes and a source for every insight.
Before charging credits, we run a fast pre-check to confirm real reviews about your exact product actually exist on the public web. If they don't, we say so, and you can paste your own links (G2, Trustpilot, Reddit threads, anything) and we'll deep-research only those.
Lift exact phrases for ads and landing pages, pre-empt the top objections in your messaging, find the features customers actually love, and spot drift between older and newer reviews so you don't repeat fixed problems in your copy.
Lives next to Competitor Analysis and Market Trends in the Research sidebar. Same progress bar, same jump-to-segment chips, same collapsible sources. Close the tab, come back, and your report is waiting.
Every research pass also got a longer, funnier set of status lines while it runs, rotating slowly enough that a full report never sees the same joke twice.
Your logo, locked in
Mark any visual reference as your brand logo and it becomes the lead reference for every banner, frame and visual Aiter generates after that. One click, every account, every image type.
Error messages that tell you what happened
We rewrote every error message in Aiter. Each one now says what went wrong, whether your credits were touched, and what to do next. Sign-in problems name the actual cause, whether that is a wrong password, an unconfirmed email, an account that already exists, or a network that dropped.
Refunds you don't have to ask for, prices you can see before you click
If a generation fails after we charged you, the credits come back on their own. No support ticket, and every retry button across research, strategy, frameworks, ads and SEO now shows what the next attempt costs, so you decide before you click, not after.
Generations that finish even if you walk away
Long jobs no longer depend on your browser staying open. Start a competitor or market trends report, close everything, come back later, and the finished report is waiting.
Deep research runs this way end to end today. Other sections are moving across one at a time, because each has its own way of failing and we would rather get each one right than flip them all at once.