What is eesel?
eesel is an AI agents platform that puts autonomous workers directly inside the apps your team already uses. Each agent connects to your existing tools and handles real tasks, such as resolving support tickets, writing blog posts, auditing web pages for SEO, or answering shoppers’ questions. Businesses that want to automate knowledge-heavy work across departments, not just customer service, are the main audience. The AI agents pull from your connected data sources and act on your instructions rather than operating as generic, one-size-fits-all bots.
These AI agents live inside tools like Slack, Microsoft Teams, Zendesk, and email. They show up as real teammates, not widgets bolted onto a sidebar.
eesel Video
Features & Benefits
- Helpdesk Agent: deploy an AI agent that automates frontline support: drafts and sends replies, triages tickets, escalates low-confidence cases to a human, and works inside your existing helpdesk tools.
- Blog Writer Agent: research a topic, pull community data, build an infographic, and write an SEO-optimized content ready to publish.
- E-commerce Agent: answer product questions, recommend items, and guide shoppers through order inquiries inside your store’s existing tools.
- AI Humanizer: rewrite stiff AI-generated text so it reads like a person wrote it, matched to your brand voice.
- AI Copywriter: turn a product and a target audience into landing page and ad copy, with angles to test.
- Content Brief Generator: turn a target keyword into a full brief covering search intent, an outline, keywords to target, and competitor gaps.
- SEO Audit and On-Page Optimizer: audit a post for on-page SEO, list the exact fixes, and push them back to WordPress in one click.
- SEO Content Gap Finder: combine competitor top pages, Google Search Console data, and existing posts into a prioritized queue of content to build, update, merge, or skip.
- Backlink Gap Analysis: find sites linking to competitors but not to you, ranked by Domain Rating and ready for outreach.
- Helpdesk Simulation: pull past conversations, generate AI responses, compare them against what humans sent, score accuracy, and produce a gap report.
- Support Analytics: analyze conversations across channels for recurring topics, volume trends, resolution rates, and channel breakdown.
- KB Auto-Updater: find knowledge base gaps from conversation patterns and draft articles from resolved conversations.
- Triage Review: review how the agent has been triaging tickets, check re-opens, escalations, and misroutes, and surface adjustment suggestions.
- Sentiment Review: track sentiment trends across conversations, flag shifts, and surface at-risk customers.
- Self Review: review agent instructions, recent activity, and user interactions to surface gaps, inconsistencies, and improvement suggestions.
- Helpdesk and App Integrations: connect AI agents to helpdesks, CRMs, e-commerce tools, messaging platforms, and knowledge sources with no coding required.
What can eesel do?
- Build AI agents from company documents
- Automate customer support ticket responses
- Write SEO-ready blog posts with AI
- Route and tag incoming support tickets
- Answer employee questions in Slack
- Audit web pages for on-page SEO issues
- Find competitor backlink gaps for outreach
- Generate landing page and ad copy
- Train chatbot on internal knowledge base
- Draft replies for customer service agents
- Analyze customer sentiment across support channels
- Find content gaps using competitor data
- Detect and close spam support tickets
- Guide shoppers through product questions
- Rewrite AI text to sound more human
- Support customer conversations in multiple languages
- Measure AI accuracy on support tickets
- Control document access for AI tools
Real-World Applications
Support teams dealing with high ticket volumes get the most immediate payoff from eesel’s helpdesk AI agents. Straightforward tickets get resolved without a human touching them. Harder ones arrive with a draft reply already waiting, written in the team’s own voice based on past conversations. Triage runs in the background, routing and tagging tickets and filtering out spam before anyone on the team sees the queue. Analytics agents then surface what’s actually driving volume, which topics keep coming back, and where sentiment is shifting before it becomes a bigger problem.
Marketing and content teams can run a different set of AI agents built around research, writing, and SEO. A content manager targeting a new keyword can generate a full brief with search intent, an outline, and competitor gaps, then hand it to the blog writer agent for a full draft that publishes directly to WordPress. The SEO audit agent checks existing posts for on-page issues and pushes fixes back to the CMS. Backlink gap analysis finds outreach targets ranked by domain strength, so link building becomes a prioritized list rather than a manual research project.
E-commerce businesses face a specific version of the support problem: shoppers need product guidance fast, and the answers live across catalog pages, FAQs, and past conversations. An AI agent trained on that data can answer questions and guide purchase decisions at any hour, without pulling a human into every exchange.
Before deploying any agent to real users, teams can run the simulation tool against historical conversations. The agent generates responses to old tickets, scores them against what humans actually sent, and produces a gap report. That process gives support managers concrete accuracy data to review, so rollout decisions are based on evidence rather than guesswork.
Companies producing AI-assisted content at scale often run into a brand voice problem. The AI humanizer agent addresses this directly, rewriting outputs that sound mechanical into copy that matches how the brand actually communicates. Paired with the copywriter agent, marketing teams can move from a product brief to testable ad angles without starting from a blank page.
