SocialEcho 2.0
AI social media copilot for teams and agents
928 followers
AI social media copilot for teams and agents
928 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
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.
how does SocialEcho handle approval flows in larger organizations with strict compliance rules? is there a built in review system before anything gets published?
SocialEcho 2.0
@fletcher_oliver Yes, SocialEcho supports approval flows through role-based permissions. Teams can separate who can create, edit, review, and publish content, so larger organizations can keep publishing controlled before anything goes live.
How does SocialEcho handle content versioning across platforms? When a campaign post goes live on LinkedIn and then gets adapted for Instagram, can teams track both variations together under the same campaign umbrella or are they treated as separate, unlinked pieces of content?
SocialEcho 2.0
@carlos_leonardo1
Right now, platform-adapted posts are managed as separate posts for each channel. That gives teams more flexibility to fine-tune the LinkedIn, Instagram, X, or Reddit version based on how each platform works, instead of forcing everything into one rigid campaign structure.
That said, we definitely see the value of grouping those variations under one campaign view for easier tracking and comparison. It’s a very relevant workflow for multi-platform teams, and it’s something we’re considering as we continue improving SocialEcho.
how do you ensure consistent tone across different content formats like captions, threads and replies? is it one shared model or multiple specialized ones?
SocialEcho 2.0
@carter_garcia
Yeah, that’s an important one. It’s the same AI layer, not separate models for each format. The consistency comes from one shared brand profile and tone guideline. Then SocialEcho applies different format instructions depending on whether it’s a caption, thread, or reply, so the structure changes, but the brand voice stays consistent.
how does the system decide when to recommend engagement actions vs content creation? is there a prioritization engine behind it?
SocialEcho 2.0
@dylan_russell Right now, SocialEcho doesn’t automatically decide whether the next step should be engagement or content creation. What we do today is bring the key social signals into one place, including post performance, comments, DMs, monitoring data, and analytics, so teams can judge what needs attention first.
For deeper analysis, teams can also connect SocialEcho’s data to tools or agents like OpenClaw through our open API, and use that layer to generate more advanced insights. A smarter “next best action” recommendation layer is definitely an interesting direction, but we want to build it carefully around real team workflows.