SocialEcho 2.0
AI social media copilot for teams and agents
931 followers
AI social media copilot for teams and agents
931 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
Launched this week
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.
Free Options
Launch Team / Built With
Triforce Todos
SocialEcho 2.0
@abod_rehman Thanks! Great question. We handle this through brand profiles and customizable prompts. Teams can define each brand’s tone, positioning, content rules, and preferred style, so AI-generated or adapted content follows the right guidelines for that specific account or brand. The goal is not to make every post sound the same, but to keep each brand consistent while still adapting to different platforms and formats.
StoreClaw
This looks useful for team-based workflows. One question: how granular are the permission scopes? Can access be limited by account, platform, or specific workflow?
SocialEcho 2.0
@phoenixhu Great question. SocialEcho supports team roles and permission settings, so access can be managed by account and workflow. This helps teams control who can view, edit, approve, or publish across different brands and platforms.
Managing multiple brands on social is a real nightmare, btw does SocialEcho let one set different tone or voice guidelines per brand, or is it one config across all accounts?
SocialEcho 2.0
@boyuan_deng1 Totally agree. Multi-brand social management can get messy very quickly. SocialEcho supports brand profiles, so teams can define different tone, voice, positioning, and content guidelines for each brand. It is not limited to one shared config across all accounts. The idea is to help each brand stay consistent while still adapting content for different platforms and workflows.
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.