Meet the world’s first multi-agent team 24/7 working on influencer marketing, with built-in scalability for any industry. Whether to increase brand awareness, drive sales or enhance business growth, Aha AI team delivers results that exceed expectations.
This is the 2nd launch from Aha. View more
Aha 2.0
Built for AI companies.
Aha handles matching, outreach, negotiation, contracts, content review, follow-ups, and performance tracking. All you do is review and approve, just like a boss.
Shaped by real campaigns with 300+ global brands, Aha 2.0 delivers a safer, more reliable way to work with influencers.
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Launch Team
Congrats on the launch! Automating the messy parts of influencer marketing from discovery to follow-ups feels like a massive relief for teams that are stretched thin. What part of the workflow did you find the hardest to automate?
Aha
@vik_sh To be honest, every part of the workflow has been hard to automate. As a two-sided platform, both sides introduce their own complexity.
On the brand side, the system needs to handle matching, outreach, price negotiation, content monitoring, and performance tracking. On the creator side, it has to manage accepting offers, uploading content, meeting delivery requirements, and handling payments.
Each module requires a very clear set of rules and a well-designed system underneath it. Automating all of this end to end has been challenging, but also the most rewarding part of building Aha.
Incredible
Ok interested! Though too lazy to fill in form to get demo 😅
Aha
@flundberg_at_incredible Haha I get you, forms are everyone’s natural enemy.
But ours is super short, I promise. Think of it as the mini-boss before you unlock the good stuff.
Would love to show you the demo when you’re ready!
Huge congrats on the launch—been following closely! The “approve first” step is smart; I can’t stand tools that ping creators without my okay. Super intriguing product, and I’m especially curious how you handle influencer matching and outreach—it sounds like a big, well-orchestrated operation.
Aha
@yanhanqing Great question, we actually built two separate systems for matching and outreach.
For matching:
Aha is one of the first to apply large models at scale to “search-and-recommend” style influencer matching, in an industry where structured data has always been scarce. Instead of using LLMs only for feature extraction or light scoring, we let the model act as an influencer marketing expert that participates in the full Recall → Coarse Ranking → Fine Ranking pipeline.
Each stage considers many factors, such as whether the creator’s audience aligns with the product’s target users, the authenticity of performance data, historical platform behavior, and whether the creator’s content style is suitable for the brand’s storyline. The goal is stable, accurate matching at scale — something this industry has lacked for a long time.
For outreach:
Aha built an intelligent outreach system that automatically sends localized, personalized invitations to the most relevant creators based on the matching results. It optimizes delivery rate, reduces spam risk, and can automatically answer common creator questions.
Creators who accept the invitation are routed directly into a standardized execution flow, which leads to higher reply rates and a much smoother collaboration experience for both sides.
Ditching tags for LLM vibe-matching is the right move. Keywords never really capture the audience's feel. Nice work.
Aha
@dogukan_brandvox Thank you! Hope you’ll discover your own Aha moment when you get the chance to try it.
Interesting concept. A 24/7 multi-agent team for influencer marketing feels like a real upgrade from manual outreach and slow campaign cycles. If it can truly scale across niches and deliver measurable results, that’s a big advantage for brands. Curious to see case studies and outcomes.
Aha
@shemith_mohanan
Thank you so much for the kind words. With Aha 2.0, we no longer think of it as a team , it now operates more like a 24/7 influencer marketing employee.
We’ve invested a lot of time refining the system for AI and software-focused brands, and as Aha continues to grow, our coverage across more niche categories will keep expanding as well.
Incredible
How do you find the influencers for each niche, is it with ai or your own algorithm
Aha
@suvi_lasan Matching creators across different categories is something we’ve spent a lot of time refining.
We built an expert-level system.
Based on the brand’s campaign details and target audience, AI goes far beyond feature extraction or simple scoring. It acts as an influencer marketing specialist and participates in the full process of Recall, Coarse Ranking and Fine Ranking.
At each stage, the system reviews a broad set of signals. These include the alignment between the creator’s audience and the brand’s target users, the authenticity of performance data, historical behavior across platforms and whether the creator’s content style fits the brand’s narrative.
This is what allows Aha to deliver accurate and scalable matching that stays reliable across categories.
Huge congrats on the launch! 🎉 I’ve been following this space pretty closely, and Aha really stands out.
Really like the “approve first” flow — I’m not a fan of tools that blast creators without my review, so that extra control is a big plus.
Super interesting product overall. The scale of your influencer matching and outreach engine sounds massive, and I’d love to see more about how it actually works behind the scenes.
Aha
@jumperchuck Thank you for the great questions. Aha evaluates creator authenticity through a multi-layer verification system. We look at how views relate to engagement, whether historical metrics show unusual spikes and the creator’s past collaboration behavior. By combining these signals, we can filter out risky or manipulated accounts and surface creators who consistently deliver real value.
Our outreach flow is built on extensive real-world campaign experience and is optimized for high reply rates across different regions and languages. The templates aren’t customizable yet, but brands can preview the exact message before it’s sent. This helps us maintain consistency and quality while ensuring a smooth, respectful experience for creators.