SocialEcho 2.0
AI social media copilot for teams and agents
607 followers
AI social media copilot for teams and agents
607 followers
SocialEcho is an AI social media copilot for teams running sophisticated campaigns across multiple brands.
Discover what’s trending, generate original on-brand content, adapt every post to each platform’s style, publish from one workspace, manage audience interactions and track what actually drives engagement.
Built on official APIs, SocialEcho also gives AI agents like OpenClaw, Hermes a secure, reliable way to manage connected social accounts without brittle scraping or risky workarounds.
This is the 2nd launch from SocialEcho 2.0. View more
SocialEcho 2.0
Launching today
SocialEcho is an AI social media copilot for teams managing social campaigns across multiple brands, accounts, and channels.
See what’s trending, create content that resonates, optimize posts for every platform, publish from one workspace, manage every conversation, and track what drives engagement.
Built on official social APIs, SocialEcho gives AI agents like OpenClaw, Hermes, and custom automations a secure way to manage connected social accounts without brittle scraping or risky workarounds.
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Launch Team / Built With
This is super useful for us — we’ve actually been looking for exactly this kind of distribution layer for managing multiple brands and channels.
Does this connect directly to our own social media accounts via official APIs, or do you provide managed accounts inside the platform? 🤔
SocialEcho 2.0
@tim_dageno_ai Tim, thanks for the question! SocialEcho connects directly to your own social media accounts through official APIs. We don’t provide managed accounts. Your team authorizes the accounts, then you can publish, engage, monitor, and analyze them from one workspace.
when adapting one post across different platforms, how does SocialEcho decide what to change vs keep intact? Is it fully AI driven or can users define platform specific rules?
SocialEcho 2.0
@james_carter35 Good question. It’s not fully AI-driven. SocialEcho keeps the core message intact, then adapts things like length, format, tone, hashtags, and structure for each platform. Users can also define brand voice, custom prompts, and platform-specific rules. And of course, teams can manually review and edit everything before publishing.
Congrats on launch!
the unified inbox idea alone is already very valuable.how do you handle large volumes of comments during viral spikes?
SocialEcho 2.0
@olivia_bennett7 Thank you! Viral spikes are exactly where SocialEcho helps a lot.
First, we use AI tagging to classify large volumes of comments by sentiment and intent, like positive, negative, high-intent, questions, complaints, or irrelevant comments, so teams can filter, prioritize, and analyze them faster.
Then teams can choose how to respond. For manual replies, AI can help draft better responses quickly. For auto-replies, teams can set the rules, and AI will match the right language and tone based on the comment. So you can stay responsive during spikes without replying to everything one by one.
can users manually override AI decisions at every step of the workflow? or are some processes fully automated by default?
SocialEcho 2.0
@barnaby_lloyd Yes, users can stay in control. SocialEcho is not fully automated by default. Teams can review, edit, approve, or override AI actions depending on the workflow. For example, AI can suggest content, draft replies, or tag comments, but teams can still adjust the output, set rules, and decide when automation should run. The idea is AI helps with the heavy lifting, while humans keep the final control.
For smaller teams or solo operators managing multiple brands, what does the pricing model look like? Is it per seat, per connected account, or per AI-generated post volume? The use case seems clearly built for teams, but curious whether early-stage founders with multiple projects are in scope.
SocialEcho 2.0
@andrew_paul11 Thanks for bringing this up. In the current version, SocialEcho is priced by connected social accounts, not by seats or AI-generated post volume. The starter plan is only $10/month for 5 accounts, so it’s friendly for small teams, solo operators, and early-stage founders managing multiple brands or projects.
You can also add accounts flexibly and create different brand teams as you grow, without jumping into enterprise-level costs too early.
And you’re very welcome to try it out for free. We’re also running our anniversary campaign right now, with top-up bonuses up to $1888!!!
how customizable is the AI brand voice over time? can it actually learn from past campaigns and improve its tone accuracy?
SocialEcho 2.0
@colton_drake
Love this question because it’s exactly where brand voice gets interesting. You can customize it pretty deeply with brand profiles, tone guidelines, and custom prompts, so each brand doesn’t end up sounding the same.
Today, SocialEcho helps keep AI-generated content aligned with those settings, and teams can always review or tweak before publishing.
The “learn from past campaigns” part is definitely where we want to go next. We already track performance across platforms, and using those signals to make tone adaptation smarter over time is a direction we’re excited about.
Congrats on the launch! Is it possible to add guardrails/filter before AI engages on comments/DMs? By filter I mean NLP kind of filter, not some LLM based classification.
SocialEcho 2.0
@ashishkingdom Thank you, and yes, this is a really important point. Before AI replies to comments or DMs, teams can set guardrails so it doesn’t engage with everything by default.
SocialEcho supports more rule-based filters like keywords, intent, sentiment, comment type, and account or workflow conditions. Based on those filters, a comment or DM can be auto-replied to, sent to manual review, or ignored. The goal is to keep AI useful, but still predictable and controlled.