All blog posts

Optimizing Your Website Content for AI Search Engines: How to Effectively Boost Conversion Rates

Index

Over the past year, AI search engines like ChatGPT, Perplexity, and Bing AI have begun to change how people discover brands online. Instead of scrolling through 10 blue links on Google, users now get curated answers directly inside conversational interfaces. That shift means companies need to rethink how they structure, distribute, and monitor their content.

Why AI search matters for conversion, not just visibility

Traditional SEO chases ranking. AI search distributes trust. When a user asks a question, they often see a single synthesized answer. If your content is cited or your brand is mentioned, you earn disproportionate attention. The goal is not traffic for its own sake. The goal is to influence qualified buyers at the moment of intent and move them to a clear next step.

What changes in an AI search world

  • Fewer results, more synthesis. You must be quotable, citable, and easy to reuse.
  • Credibility beats volume. Clear, narrowly scoped, and well supported pages are more useful than generic long reads.
  • Distribution happens across formats. YouTube, Reddit, and Wikipedia often appear in answers. Your plan should treat them as first class channels.

What recent data suggests about AI search behavior

Use these directional takeaways to shape your plan. The specific percentages below are from a recent study.

  • Relevance and quality beat raw traffic. ChatGPT and Perplexity often reference low traffic sites. About 44.88% of links in Perplexity and 47.31% in ChatGPT go to sites with minimal traffic. New sites can surface if the content is clear, useful, and well structured.
  • Domain age patterns differ by engine. ChatGPT and Bing frequently use younger domains, often under 5 years old. Google AIO skews older, with 49.21% of links going to domains older than 15 years. If you are new, prioritize Bing and ChatGPT tactics while you build long term authority for Google.
  • Bing prefers short, direct answers. Average response length is about 398 characters with about 3.13 links per answer. Write concise, plain language summaries that can be quoted.
  • YouTube and user generated sources matter. ChatGPT links to YouTube in about 11.30% of answers, Perplexity in about 11.11%. ChatGPT often cites Reddit and Wikipedia. Create helpful video content, contribute responsibly to community sources, and use clear references on your pages.
  • Diversify your cited sources. ChatGPT and Perplexity overlap in their domains by about 25.19%, and both pull from a wide set. Bing often references practical sites such as WikiHow, and also health oriented sites like Healthline. A broader reference strategy helps your pages appear alongside familiar authorities.
  • Balance keywords. Niche and specific keywords increase the odds of citation in ChatGPT and Perplexity where less popular domains can win. Target your content to answer the questions that real buyers ask.

These signals are directional. You do not need to memorize the numbers. You need to shape content so that it is reusable by AI systems and persuasive to humans.

Strategy pillars

  1. Relevance and clarity
  • Write to a single search intent per page.
  • Lead with an answer, support with proof, then add depth.
  • Use descriptive headings, short paragraphs, and lists that AI can parse.
  1. Channel fit by engine
  • For Bing: short, simple answer blocks, minimal jargon, clear definitions, and practical steps.
  • For ChatGPT and Perplexity: authoritative walkthroughs with citations to credible, diverse sources and helpful visuals.
  • For Google AIO: long term credibility, consistent terminology, stable URLs, and evidence of expertise over time.
  1. Format portfolio
  • Text pages that answer specific questions.
  • YouTube videos with transcripts and chapters.
  • Wikipedia involvement if appropriate and compliant with policies.
  • Reddit participation in relevant communities.
  1. Ethical participation
  • Follow rules for Wikipedia and Reddit. Disclose affiliations where required. 
  • Avoid spam and contribute useful information that stands on its own.
  1. Conversion alignment
  • Every page and post should include a logical next step. 
  • Offer checklists, calculators, templates, or short demos. 
  • Build credibility before a call to action.

Tactically Putting It Into Practice

Here’s where companies often hit a roadblock: creating and distributing this volume of content consistently across multiple platforms. That’s where automation helps.

Cassidy-enabled workflows that reduce manual effort

Automation helps you keep up with the surface area of AI search while staying on brand. The following workflow recipes are examples. They are useful even if you build them in a different tool. Cassidy makes them easy to connect to your systems and to run on a schedule. Book a demo call with us to see the following workflows in action!

Workflow 1: Reddit brand mention monitor and guided engagement

Goal: Identify brand mentions on Reddit and prepare helpful, non promotional replies.

Trigger: Hourly or daily search across relevant subreddits for your brand name, product names, and category keywords.

Inputs: Keyword list, list of allowed subreddits, brand voice rules, compliance guardrails.

Steps

  1. Fetch new threads and comments that match filters.
  2. Classify intent. Examples: product comparison, how to, troubleshooting, procurement, off topic.
  3. Score priority by reach, subreddit relevance, and recency.
  4. Draft a reply that follows the response rubric. Include sources and a link to a neutral resource first.
  5. Route to a human for final review and posting.

Output: Suggested replies in Slack or email with direct links. Status tracked in a simple dashboard.

Guardrails

  • Respect subreddit rules. Do not mass post. Always disclose affiliation if required. 

If you want to see this in action live, book a demo with us.

Workflow 2: Blog to social to Reddit distribution

Goal: Repurpose every blog post into short posts for LinkedIn, X, and suitable Reddit communities.

Trigger: New post published or updated.

Inputs: Blog URL, summary paragraph, three key takeaways, two external citations to include as context.

Steps

  1. Generate one LinkedIn post, one Instagram post, and one X post that summarize the main lesson.
  2. Generate a Reddit friendly version that removes promotional language and adds a neutral resource.
  3. Create UTM tagged links for attribution.
  4. Schedule posts and alert owners for manual Reddit posting where rules require human participation.

Output: Platform ready drafts with tracking links and a checklist for the human poster.

If you want to see this in action live, book a demo with us.

Workflow 3: Category question monitor for weekly outreach

Goal: Track recurring high intent questions such as “best HVAC company in Houston” or “how to evaluate RFP automation.”

Trigger: Weekly scheduled run.

Inputs: Question patterns, geo filters, list of forums and Q and A sites.

Steps

  1. Collect new threads that match patterns.
  2. Summarize the question and current best answers.
  3. Suggest a helpful contribution that cites neutral sources. Include a short disclosure line.
  4. Propose a one paragraph answer block and a link to a non promotional guide.

Output: A short brief per thread with suggested text. Owner can post or adapt.

If you want to see this in action live, book a demo with us.

Workflow 4: YouTube topic radar and script draft

Goal: Publish videos that align with high intent topics that AI engines often cite.

Trigger: Weekly or biweekly scheduled run.

Inputs: Topic list, competitors, associated blog posts, brand voice.

Steps

  1. Identify trending questions and gaps in your library.
  2. Propose a title, a hook, and a 5 step structure.
  3. Draft a script with on screen prompts and a CTA.
  4. Generate a blog companion outline and cross links.

Output: A script draft and outline ready for recording and publishing.

If you want to see this in action live, book a demo with us.

Conclusion: The New SEO Playbook

AI search engines are not replacing SEO—they’re rewriting the rules. The old game of chasing rankings with keyword-stuffed content is giving way to a new model where:

  • Clarity beats complexity.
  • Credibility beats volume.
  • Distribution beats centralization.

By focusing on relevance, diversifying your presence across platforms AI engines actually cite, and automating the grind with workflows, brands can not only be seen—they can be trusted. And trust at the point of intent is what drives conversions.

Facts and figures courtesy of https://seranking.com/blog

Share online

Page URL

Read more posts

See all articles
Centralize and Optimize: How Cassidy's Knowledge Base Unifies Your Business Ecosystem
Read more

Centralize and Optimize: How Cassidy's Knowledge Base Unifies Your Business Ecosystem

AI models

Imagine having a single command center for all your business’s systems, information, and data — where every tool, every document, and every piece of relevant data works together seamlessly.

Now, imagine layering in the power of all leading AI systems, seamlessly integrated and working in harmony within one platform.

That’s exactly what Cassidy’s Knowledge Base delivers.

It’s like building a brain for your business, one that learns from your unique systems, stays up-to-date, and ensures your workflows are always in sync.

By combining the strengths of your existing tools and the capabilities of diverse AI systems, Cassidy transforms how your team operates, making it smarter, faster, and more effective. Let’s explore how Cassidy’s Knowledge Base can take this vision and make it a reality, starting with how it learns and integrates seamlessly with your business.

Imagine What’s Possible With AI That Knows Your Business

Cassidy's Knowledge Base acts as the backbone of your tech ecosystem, seamlessly connecting systems, tools, and data for smarter collaboration.

But how does it work?

Cassidy integrates directly with your existing tools, transforming the scattered matrix of information across platforms into a streamlined, interconnected system where every moving part works together.

Cassidy transforms the way businesses manage their sprawling ecosystems of data and tools by breaking down silos and connecting every piece into one seamless framework.

A customer service rep no longer needs to search Zendesk, SharePoint, and Google Drive to find the right answer. Instead, Cassidy scans all connected sources in real-time and consolidates the best response — whether it’s in an internal document or a support article — into an on-brand email, ready to send in seconds.

Sales teams can gain a new edge. A rep using Salesforce can access deal history, competitive insights, and product data without switching platforms, enabling faster prep and sharper pitches.

Marketing? Cassidy can weave insights from market research, customer feedback, and internal strategies into compelling, data-driven content — ready for the next campaign or blog post.

The possibilities are endless. No matter your industry, role, or experience with AI, Cassidy continues to evolve by integrating new technologies, expanding features, and adopting advancements in tools and large language models (LLMs). We're going to continue making strides to make sure that you are efficient at your job, with a lot less stress.

Modern tech stacks NEED to be more ... modern

Modern tech stacks are essential for operations but often come with significant challenges. Enterprises depend on an array of platforms tailored to specific departments, yet these tools frequently operate in silos.

This fragmentation leads to inefficiencies, complicating workflows and limiting collaboration. Bridging these gaps is not just a technical challenge — it’s a necessity for unlocking productivity and streamlining operations across the business. To sum it up, here are some of the issues with tech stacks that aren't connected: 

  • Data Silos: Different platforms house valuable information, but lack of integration makes it challenging to access or leverage effectively.
  • Workflow Gaps: Teams often navigate between disconnected systems, leading to redundant tasks, slower processes, and higher error rates.
  • Redundancies in Tools: Overlapping functionalities across tools lead to unnecessary costs and confusion about which platform to use.
  • Scalability Issues: Expanding enterprises face difficulty aligning new tools with existing systems, making streamlined growth a challenge.

Simplifying a tech stack requires more than integration — it involves creating synergy between tools, aligning them with organizational goals, and ensuring seamless interaction for end-users. 

Here's how simple it can be to have these systems work together: 

Optimizing your tech stack (with the help of AI) allows teams to focus on strategic goals, collaboration, and execution rather than battling fragmented systems. By addressing these challenges, businesses can unlock the full potential of their tech stack, and, more importantly, empower their people.

We hope that companies with well-organized Cassidy Knowledge Bases will not only drive greater value for the organization but also enables individuals to focus on meaningful, productive work that benefits both the business and their own professional growth.

Create a knowledge base that will unify your tech stack 

Building a custom AI knowledge base with Cassidy will help transform your business and connect all of your services to have them work for you, as opposed to create more work.

A few clicks will allow you to save hundreds of hours, as Cassidy integrates your company’s data and systems, creating a cohesive, intelligent platform

Whether stored in internal documents, external tools, or shared platforms, your company’s knowledge is unified into one intelligent system. Cassidy ensures no information is overlooked, transforming fragmented data into a cohesive, AI-powered resource that enhances workflows and keeps your team equipped with the most accurate and up-to-date information.

The real-time syncing sets Cassidy apart.

The moment something in your systems changes or updates, Cassidy reflects those changes instantly. Your team gets access to the most current, relevant, and accurate data — no delays, no digging through systems.

Supported by traceable insights and complete transparency, Cassidy allows your team to track information back to its source, ensuring accuracy and trust.

We work with all the major tools out there, and the list is growing. Cassidy integrates with nearly 100 tools, including advanced AI systems like OpenAI’s GPT-4, Google Gemini, and a range of open-source models, working seamlessly to create a knowledge base that grows alongside your business.

Whether you’re a neighborhood brick-and-mortar shop or a sprawling enterprise, Cassidy ensures your data is protected and private. None of your information is accessible to others. Your data stays exclusively yours—Cassidy’s models never train on your information, guaranteeing complete confidentiality while delivering intelligent, impactful solutions customized to your needs.

This is how modern work gets done: less time spent navigating systems, more time focused on the ideas and initiatives that truly matter. With Cassidy, your team is empowered to work smarter, collaborate better, and achieve more.

Try Cassidy for free.

Build a World-Class CS Team with AI-Enhanced Support Enablement
Read more

Build a World-Class CS Team with AI-Enhanced Support Enablement

AI models

Customer support teams face countless challenges every day: handling high ticket volumes, answering tough questions, and maintaining meaningful interactions across platforms. It’s a high-pressure job that requires efficiency, adaptability, and tools that work as hard as they do.

With all the stress and mental energy it takes to juggle these challenges, AI can be a powerful partner for support teams. Not a replacement, but a trusted resource that works alongside you and your team. By handling the heavy lifting, AI allows support teams to focus on what they do best: building connections and delivering great customer experiences.

In this blog, we’ll show how Cassidy equips support teams to tackle key enablement tasks — streamlining processes, building impactful resources, and delivering exceptional customer experiences.

Clear Out Tickets With On-Demand Answers to Questions

High ticket volumes are every support team’s nightmare. Maybe it’s a bug that’s disrupting users, or an unexpected outage that sends panic through your customer base.

Whatever the cause, tickets pile up fast, and your team is left trying to triage the chaos. Everyone’s scrambling to prioritize the most pressing issues, but with so many demands coming in at once, it’s easy for important requests to fall through the cracks.

You don't want to get to a point where customers get frustrated, agents feel burned out, and the pressure only mounts.

In moments like these, teams do their best: manually assigning tickets, answering repetitive questions, and leaning on internal experts for technical issues. It works for a while. But when volumes spike, manual processes slow things down, agents lose time searching for answers, and the team struggles to keep up.

This is where AI can make all the difference.

Cassidy takes the pressure off by drafting accurate, context-rich replies to customer emails and support tickets automatically. Powered by your knowledge base, it ensures every response is not only timely but also reliable. From answering common questions to tackling more complex issues, Cassidy equips your team with the tools to stay ahead of mounting tickets, delivering thoughtful solutions that keep customers happy and operations running smoothly.

How else can Cassidy help you clear out tickets

  • Triage smarter, not harder: Prioritize tickets based on urgency, sentiment, and complexity to keep critical issues front and center.
  • Support agents in real-Time: Provide instant, accurate answers from your documentation to help resolve technical issues faster.
  • Chrome extension to help with responses: Use Cassidy’s AI-powered assistant directly in your browser to draft replies and access critical information without ever switching tabs.

Ticket surges are inevitable, but they don’t have to overwhelm your team. By combining human expertise with AI-powered support, Cassidy ensures that even the busiest times are manageable, allowing your team to stay calm, focused, and ready to deliver the quality service your customers deserve.

Compile All Information From Your Support Center

No matter how experienced your support agents are, they’re bound to face tricky questions that require digging through resources for answers. A customer might ask about an edge-case bug, a rarely used feature, or a complex integration. When agents can’t find the information they need quickly, the delay adds frustration — for both them and the customer.

Traditionally, teams handle this by leaning on engineers or internal experts for help.

While this can work in a pinch, it’s not scalable.

Agents lose valuable time chasing down answers, customers are left waiting longer, and the overall efficiency of your support operation takes a hit.

This is where Cassidy steps in to bridge the gap. Instead of leaving agents to fend for themselves or rely on others, Cassidy pulls real-time, accurate information from your technical documentation, knowledge base, and other resources.

Whether it’s troubleshooting steps or product-specific guidance, Cassidy ensures agents have the answers they need—instantly. By turning scattered information into actionable insights, Cassidy empowers your team to resolve even the toughest customer inquiries with confidence and speed.

Ways Cassidy can help centralize your knowledge base.

  • Provide Instant Access to Documentation: Cassidy draws from your technical resources in real-time, giving agents the information they need without delays.
  • Create a Centralized Knowledge Hub: Consolidate scattered resources into a single, AI-accessible system so your team can find answers faster.

This means your team spends less time searching for answers and more time focusing on meaningful customer interactions. And as Cassidy learns from your existing processes, it continues to improve, providing even better support over time.

With Cassidy, your support team is no longer bogged down by the hunt for information. Instead, they’re equipped with the tools and insights they need to work smarter, handle complex issues with ease, and deliver an exceptional experience every time.

Creating Personalized Communication That Sound Like Your CS Team

Customers expect more than just fast responses—they want interactions that feel personal and relevant. Whether it’s a follow-up to a support inquiry, an email announcing a new feature, or even outreach on LinkedIn, personalization is what turns a basic interaction into a memorable experience.

Cassidy helps bridge this gap by equipping teams with the tools to craft personalized communications that feel human—without requiring hours of manual effort. From pulling key details like customer history and preferences to generating dynamic, context-aware messaging, Cassidy ensures every interaction feels authentic and on point.

Imagine announcing a feature update to your customers. Instead of sending a one-size-fits-all email, Cassidy can help you tailor messaging based on each customer’s previous interactions, product usage, or company size.

The result? Emails that resonate with your audience and make them feel seen. Or consider LinkedIn outreach—Cassidy can suggest personalized introductions that align with a client’s professional background and needs, ensuring your outreach stands out in a crowded inbox.

How Cassidy Supports Personalized Customer Interactions:

  • Dynamic Messaging for Any Channel: Generate tailored emails, chat responses, or outreach messages based on customer data.
  • Comprehensive Customer Insights: Pull from past interactions, product usage, and preferences to inform your communication strategy.
  • Consistency Across Platforms: Ensure your team’s voice and tone stay aligned, whether reaching out via email, LinkedIn, or chat.

Personalization doesn’t have to feel forced—or time-consuming. With Cassidy’s support, your team can create meaningful, tailored interactions at every stage of the customer journey, building stronger relationships and driving deeper engagement, one message at a time.

Endless Use-Cases for CS 

Customer support is about more than solving problems — it’s about fostering trust, delivering value, and enabling teams to thrive. Cassidy helps support teams achieve this by streamlining workflows, enhancing customer interactions, and providing tools to create impactful resources.

Whether it’s crafting personalized emails, generating FAQs, or pulling actionable insights from existing data, Cassidy empowers teams to focus on what matters most.

With seamless integration into your existing tools and features like real-time AI assistance, Cassidy centralizes information and simplifies processes. Agents can respond faster, create better enablement materials, and maintain consistent, high-quality interactions across every touchpoint.

Plain and simple: why Cassidy stands out:

  • Effortless Content Creation: Turn documentation into FAQs, training guides, and more with minimal effort.
  • Tailored Customer Messaging: Personalize communication for emails, outreach, or tickets to build stronger connections.
  • Integrated Workflows: Bring tools together to provide agents with immediate context and actionable insights.
  • Streamlined Onboarding and Training: Train new customer support hires with Cassidy as their AI copilot, providing instant access to knowledge bases and tools to help them get up to speed faster.

Cassidy is designed to help your team work smarter, not harder, making customer support more efficient.

Ready to transform your approach to support enablement? Start your free trial today.

Cassidy vs Microsoft Copilot: AI Automation vs Microsoft 365 Assistant
Read more

Cassidy vs Microsoft Copilot: AI Automation vs Microsoft 365 Assistant

Industry news

Cassidy and Microsoft 365 Copilot both bring AI assistance to the workplace, but they differ significantly in scope and approach. Cassidy is an AI-native automation platform designed to integrate AI into diverse workflows across an entire business, while Microsoft 365 Copilot functions as an assistant within Microsoft’s suite of apps (Word, Excel, Outlook, Teams).

While Copilot is useful for enhancing productivity within Microsoft tools, Cassidy goes further by enabling cross-platform workflows, providing AI model flexibility, and offering enterprise-level support. Below is a comparison of how Cassidy and Microsoft Copilot stack up across key areas:

Feature Cassidy Microsoft Copilot
AI Flexibility ✅ Supports multiple AI models (GPT-4, Claude, Gemini) ❌ Locked to Microsoft’s OpenAI model
Workflows & Automation ✅ No-code AI-driven workflows spanning multiple tools ❌ In-app assistance only, no cross-platform automation
Integration Scope ✅ Connects with 100+ tools, including Slack, CRMs, and ticketing systems ❌ Primarily for Microsoft 365 apps, limited third-party integrations
Enterprise Scalability ✅ Organization-wide AI deployment and admin control ❌ Designed for individual users within Microsoft apps
Onboarding & Implementation ✅ Dedicated support, training, and white-glove onboarding ❌ Self-service setup, minimal implementation support

AI Flexibility: Multiple Models vs. Single Model

Cassidy offers extensive AI flexibility. It supports multiple AI models, including OpenAI’s GPT-4, Google’s Gemini, and Anthropic’s Claude. This allows organizations to choose the best AI for different tasks and future-proof their automation as better models emerge.

Microsoft Copilot, on the other hand, is locked into Microsoft’s chosen OpenAI model. Users have no control over the AI provider and must rely solely on the models Microsoft decides to deploy. This lack of flexibility can limit performance in specific use cases where another model might be a better fit.

Workflows & Automation: Multi-Step vs. In-App Only

Cassidy enables true end-to-end AI-powered workflows across multiple tools and steps. Its no-code workflow builder lets users create AI-driven automations that take action across apps, process data, and even trigger real-time alerts. For example, Cassidy can read an incoming email, analyze its content, update a CRM, and notify the right person in Slack—all in one seamless process.

Microsoft Copilot, however, is limited to acting within individual Microsoft 365 apps. It assists with tasks like writing emails in Outlook or summarizing documents in Word but does not offer full automation across tools. Microsoft’s Copilot Studio allows for some custom Copilot assistants, but these are largely confined to Microsoft’s ecosystem and require developer setup.

Integration Scope: Diverse Tools vs. Microsoft-Only

Cassidy connects with over 100+ third-party applications, including CRMs, ticketing systems, knowledge bases, and communication platforms like Slack and Teams. It integrates deeply with both Microsoft and non-Microsoft tools, ensuring seamless automation across an organization’s full tech stack.

Microsoft Copilot, by contrast, is designed primarily for Microsoft 365 users. It works well within the Microsoft suite but has limited or no native integration with third-party tools like Slack, Google Drive, or external CRMs. This lack of connectivity makes it difficult to implement AI-driven workflows outside of Microsoft’s ecosystem.

Enterprise Scalability: Organization-Wide vs. Individual Use

Cassidy is built for enterprise-wide deployment, allowing teams to create AI assistants and workflows that span across departments. Its centralized Knowledge Base ensures that AI-powered automations pull from company-wide data, maintaining accuracy and consistency. Admins can manage access, enforce security policies, and customize AI responses for different teams.

Microsoft Copilot is primarily a personal assistant within Microsoft apps, meaning it functions on a per-user basis rather than being centrally managed for an organization. Any attempt to extend its capabilities across teams would require significant developer effort and remain constrained within the Microsoft environment.

Onboarding & Implementation: Hands-On vs. Self-Service

Successfully implementing AI tools in an enterprise requires more than just software—it requires expert guidance, training, and ongoing support to ensure adoption and success. Cassidy provides a white-glove onboarding experience, working directly with each organization to build, customize, and integrate AI solutions effectively.

When you adopt Cassidy, you get:

  • A Dedicated Account Manager – Your team is assigned a Cassidy AI expert who helps design AI assistants and workflows tailored to your business needs. This ensures your AI solutions align with your processes and deliver real impact from day one.
  • Team Training Sessions – Cassidy provides hands-on training to help teams in sales, marketing, support, and operations seamlessly integrate AI into their workflows. This ensures that AI adoption happens smoothly across departments, not just in isolated pockets.
  • Weekly Office Hours – Cassidy hosts live Q&A sessions where customers can get expert advice, troubleshoot challenges, and explore new use cases for AI within their business.
  • Private Slack Support – A direct line of communication with Cassidy’s team, allowing customers to ask questions, request features, and receive real-time assistance whenever they need it.

This high-touch support model ensures that organizations don’t just buy AI tools—they successfully implement them and maximize their value.

By contrast, Microsoft Copilot follows a self-service onboarding approach. While Microsoft provides documentation, FAQs, and standard admin guides, there is no dedicated onboarding or personalized implementation support. If an organization needs additional guidance, they may have to work with third-party Microsoft partners at an extra cost. This means that adoption relies heavily on internal IT teams to configure Copilot and train users, which can slow down AI implementation—especially for enterprises looking to scale AI across departments.

Final Thoughts: Why Cassidy Stands Out

Microsoft 365 Copilot is a useful personal productivity tool within the Microsoft suite, helping with writing, summarizing, and task management inside apps like Word and Outlook. However, it lacks true AI-powered workflow automation and is restricted to Microsoft’s ecosystem.

Cassidy, on the other hand, enables end-to-end AI automation across your entire tech stack. It integrates with multiple tools, supports multiple AI models, and allows enterprises to build custom workflows that adapt to their specific needs. With hands-on onboarding, admin controls, and broad AI flexibility, Cassidy is the better choice for businesses looking to deploy AI across departments and tools.

Ready to see how Cassidy can automate your workflows? Book a demo today.

See all articles

Start building AI tools in minutes

Access to the top models

Cassidy includes the top 5+ leading AI models.

Assistants

Intelligent assistants personalized to your team.

Workflows

Automate tasks with custom, data-driven workflows.

Chrome extension

Cassidy at your fingertips with browser extensions.

No model training

Unlike ChatGPT, Cassidy never trains with your data.

Knowledge Base

Centralized intelligence for smarter automation.