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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

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Announcing Cassidy’s $3.7M Fundraising
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Announcing Cassidy’s $3.7M Fundraising

About us

Overview

LLMs created a new era of automation. While previous workflow automation platforms could only automate tasks with basic if/then logic, LLMs unlocked complex reasoning in natural language.  

However, the quality of LLM outputs and decisions is highly dependent on the specific context they’re given. Insufficient, disorganized, or outdated data can cause AI to respond inconsistently (or even hallucinate), making it hugely unreliable for business automation. Enter: Cassidy. 

Cassidy is a more intelligent automation platform that makes every decision with full context on your business. 

How it works: Cassidy’s knowledge base connects to your company’s existing knowledge tools (Slack, Notion, Drive, etc.) and automatically cleans, prepares and keeps your business’s data up-to-date. It removes the concept of “one-size-fits-all” logic and instead allows your team to reliably build powerful AI workflows that make complex, human-level decisions, all with a nuanced understanding of your company. 

Cassidy was built for both non-technical and technical users, making effective AI automations accessible to teams of all shapes and sizes. Today, we’re thrilled to announce our $3.7 million funding led by The General Partnership, Neo, Comma Capital, Spacecadet Ventures, Ride Ventures, and angels like Erik Goldman (Co-founder of Vanta), Jason Dorfman (CEO of Orum), Zach Sims (CEO of Codecademy). We closed our round in November 2023 and have been growing fast...

What makes Cassidy’s automations ‘intelligent’

Companies typically want to consolidate their tooling, and since Cassidy's workflows are tailored to how a business operates, it works ‘intelligently’ in a few different ways: 

It gets smarter with more interactions

Cassidy’s automations improve over time. Each interaction cites its sources, allowing you to verify and exclude specific information through human-in-the-loop processes. This transparency ensures your data remains accurate and up-to-date. As more interactions occur, Cassidy’s performance is refined, incorporating added context and prompt adjustments to continually enhance the system’s reliability.

It understands your business

Cassidy connects with all knowledge tools (Slack, Sharepoint, Confluence, etc.) to give AI context on your business, customers, competitors, brand voice, and more. It pulls the information in real-time so that it’s constantly up-to-date with what’s happening at your company and in the market. This gives Cassidy human-like judgment, and keeps responses consistent across your entire team.

It’s fully composable software

Cassidy allows teams to quickly build custom AI automations and agents. Companies can tailor the software to how their business operates, designing workflows that match their exact team’s processes. We're creating hundreds of AI action blocks combined with all the leading AI models (all included with your plan) so you can bring your AI tech stack into a unified platform. 

AI that can run asynchronously

Cassidy’s workflows allow you to build automations that run even while you’re sleeping. You can create triggers from hundreds of different tools to automate tasks automatically. Because our AI runs with specific guardrails and the full context of your company, you can trust it to perform reliably without needing a human in the loop.

Built for teams of all shapes and sizes

We're making AI automations accessible to teams of all sizes and skill sets. To stay ahead in the age of AI, automation is no longer optional—everyone needs to be able to build out automations. Cassidy is designed to make it incredibly easy for non-technical teams to use and build complex automations. We offer a library of pre-made workflows and a simple text-to-workflow creation process. For more technical teams and granular use cases, Cassidy has the flexibility to add code and prompt engineering. Cassidy also has enterprise-grade permissioning and security that you can trust to keep your data private and encrypted. You can set advanced user-level permissions for your automations and knowledge data to keep your data secure. Learn more about our security (including compliance with SOC II) at trust.cassidyai.com

Cassidy in the real world 

We started Cassidy a little over a year ago and are continuously blown away by our customers’ creativity, from startup founders automating responses to RFPs to global public companies automating their sales enablement flows for 12k+ companies. Some use cases to spotlight: 

RVezy is a leader in online RV rentals that built a suite of sales enablement and customer success automations. Since their business model and ideal customer persona are incredibly nuanced, they couldn’t rely on typical if/then logic or scoring criteria to prioritize and respond to customers. The team embedded Cassidy into their workflows to automate customer support triaging, handle chargeback disputes, and draft replies with highly nuanced context. These automations understand RVezy’s business inside-out and make high-context judgments for each ticket trained on thousands of previous support inquiries.

“Cassidy allows us to be much more proactive in addressing critical customer complaints - automatically escalating issues to a manager who can solve customer problems quickly

E78 Partners, a leading advisory firm, utilizes Cassidy's AI automations for research and knowledge transfer across teams. They've built automations that are hyper-personalized to support industry research and client facing projects.

"Cassidy personalizes its AI tools to know our business, clients, and industries better than any other AI-enabled company. Across the board, our team is obsessed with using Cassidy as a copilot to refine solutions, research external industry insights, streamline knowledge transfer across teams and find creative ways to automate the day-to-day monotonous tasks."

Lexer, a customer data platform, generates responses to RFPs in minutes. Their team created an AI workflow that extracts questions from documents, searches their knowledge base for answers, then writes a thorough response in Lexer’s brand voice.

“I never thought I’d be able to automate responding to our RFPs until I found Cassidy. It was incredibly easy to connect my tools, and helps us respond 3x faster to customers so we can close more deals.”

What’s next

At Cassidy, we believe AI is going to become more and more embedded into how companies operate, starting with automations. If what we’re building resonates, check out our many open roles at cassidyai.com/careers 👈

The Two Paths to Integrating AI in your Business
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The Two Paths to Integrating AI in your Business

AI models

There are two primary categories for integrating AI into your business:

  1. Boosting Internal Productivity - In other words, figuring out how to make your employees and workflows more efficient, so you can deliver better results faster.
  2. Enhancing the Customer Experience - Exploring what you can offer on top of your existing products and services to make your customers even happier.

Focusing on internal productivity will help cut costs, while improving the customer experience will help you earn more.

Internal Productivity

In my view, it’s easier to start with internal productivity. Greater AI adoption within your team or even by yourself will lead to a substantial increase in overall productivity. The right AI strategy will turn everyone in your organization into a top performer.

Of course, figuring out the best AI strategy can be tricky. But, I think it’s important to not overthink it. Just starting to use AI tools and sharing them with your team can pave the way for in-depth AI integration across your organization. It’s crucial for everyone to have that “Aha” moment with AI.

At CassidyAI, we’re all about this mission. While we’re still slowly rolling out early access, we’ve been documenting our process publicly because we believe everyone can benefit from the thinking we’re putting into how to build features that truly speed up internal workflows.

We showcased our plugin feature that allows you to bring an AI assistant, custom-trained for your business, virtually anywhere on the internet. It’s been a game-changer for sales, customer success, and marketing teams.

(Check out the demo here. You can also signup for the Cassidy waitlist here)

The point is this: When integrating AI into your business, consider the workflows and tasks that currently exist and explore how AI could be introduced to enhance them. Never assume AI can't help--even small steps towards incorporating AI eventually become meaningful time savings.

Customer Experience

On the other hand, you can drive significant customer retention and growth by thoughtfully using AI in your products and services. This approach requires creativity, as it is not as simple as purchasing an off-the-shelf solution for internal workflow optimization.

AI-enabled features in your products and services could include personalized recommendations, an AI chatbot, or simple AI features that make it easier for people to use your product. The catch is that these features must be unique to your business.

For instance, Shopify customers struggled to optimize their stores properly, so their AI sidekick was developed to do it automatically. Another example: I recently spoke with a personal trainer who introduced an AI chatbot for fitness-related questions because clients struggled with guidance on days they weren’t seeing the trainer.

When considering AI implementation, think about the biggest pain points for your current customers. Why do people churn? Is something stopping them from using your product or service more often? What are their unmet needs?

It’s within these questions, you’ll find opportunities to enhance the customer experience using AI.

Cassidy vs n8n
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Cassidy vs n8n

About us

AI Automation Platform Comparison

Today, stitching together integrations isn’t enough. Teams need automation that actually has human-level judgement: saving time, reducing complexity, and boosting productivity through AI. Two platforms often mentioned in this space are cassidyai.com and n8n.io. While both can help automate workflows, there’s a lot that is not possible with any tool other than Cassidy.

Check out the table below for a quick comparison, then read on to learn why Cassidy stands out for true AI-powered automation.

Feature / Capability Cassidy n8n.io
Core Focus AI-driven automations and assistants General workflow automation
Built-in AI ✅ Yes, native AI at the core ❌ No, requires external AI integration
Knowledge Base ✅ Yes, organizes & secures docs, powering AI ❌ No, must stitch content sources manually
AI Assistants ✅ Yes, ready-to-use for Sales, Support, etc. ❌ No, user must craft custom bots via external AI
Ease of Use for Non-Tech Teams ✅ Very user-friendly, no-code interface ⚠️ Somewhat technical; visual workflow builder
Replace/Enhance Existing Tools ✅ Can handle tasks like RFPs, lead enrichment, support triaging ❌ Mostly connects apps; limited AI content generation
Security & Access Control ✅ Granular permissioning & Collections for knowledge segmentation ❌ Limited user-level permissions; relies on hosting/security setup
Integrations ✅ Growing library (Slack, Teams, CRMs, Chrome extension) ✅ Wide range, though less AI-focused
Ideal User Business & enterprise teams seeking AI-powered automation Technical teams building custom data connections

AI-Driven vs. General Automation

The biggest difference? Cassidy is built for AI-first automation, while n8n.io simply adds AI as an option.

n8n.io is a general workflow tool. It moves data, triggers tasks, and connects apps. AI isn’t embedded; it’s something you manually add by configuring external APIs like OpenAI, setting up prompts, and managing responses. It’s flexible, but requires technical work to actually utilize AI.

Cassidy, by contrast, has AI built into every workflow. Its Knowledge Base gives AI instant, secure access to your company’s data. This means that automations don’t just run—they understand, generate content, and improve over time. AI in Cassidy isn’t an add-on; it’s the foundation of how the platform works.

If you need AI-powered automation that works immediately without complex setup, Cassidy is the clear choice.

Cassidy is Built for Non-Technical Users—n8n.io is Not

Unlike n8n.io, which requires technical setup, Cassidy is built for anyone to create AI-powered workflows with no coding, no APIs, no complexity.

With Cassidy, non-technical teams can build their own AI-driven tools, whether it’s:
Submitting an RFP and having Cassidy generate responses automatically
Creating AI-driven sales outreach with contextual lead insights
Automating customer support with AI that understands and asks for human approval before responding

These workflows aren’t even possible in n8n.io without heavy technical work. n8n.io is a developer tool, requiring manual setup and API connections, while Cassidy lets anyone build intelligent automations in minutes.

Knowledge Base as the AI Foundation

Cassidy’s Knowledge Base isn’t just a document store, it’s what makes its AI powerful. Every workflow and AI Assistant learns from and contributes to your business data, meaning automations get smarter over time.

In contrast, n8n.io doesn’t have a knowledge base. You can connect it to data sources, but each workflow step has to manually fetch and process information—nothing is remembered or optimized automatically. This means AI in n8n lacks context and must be reconfigured whenever you want it to "know" something new.

With Cassidy, AI instantly understands your business and improves with every interaction.

Workflows: Embedded AI vs. AI as an Add-On

The way Cassidy and n8n handle workflows isn’t just different—it completely changes what’s possible with automation.

With Cassidy, AI isn’t just a step in the workflow—it’s embedded into every part of it. Each workflow can access and contribute to the Knowledge Base, meaning automations don’t just execute tasks, they learn and improve over time. For example, if Cassidy automates a customer support response, it doesn’t just pull data—it updates the Knowledge Base with new insights so that future responses are even more accurate.

In n8n.io, AI is always external. Every step that needs intelligence must call an outside AI model, wait for a response, and store data separately. This slows down workflows and requires manual upkeep.

With Cassidy, workflows become smarter with time, while n8n workflows stay static. If you want true AI-powered automation, Cassidy delivers intelligence at every step.

AI Assistants: More Than Just Workflows

Not every task needs a workflow. Sometimes, a real-time AI assistant is better; and Cassidy is the only platform that offers both.

Cassidy’s AI Assistants can be deployed in Slack, Teams, Chrome, embedded in apps, or accessed via API. These assistants help teams instantly by answering questions, generating responses, pulling data from your Knowledge Base in real time, and so much more.

Examples:

  • Slack and Teams Assistant: Instantly answers sales, support, or HR questions using company knowledge.
  • Chrome AI Assistant: Reads webpages, drafts emails, and summarizes content while you work.

n8n.io doesn’t offer assistants at all. If you wanted something similar, you’d need to manually build a chatbot, integrate AI, and set up custom API calls which requires a major technical lift.

With Cassidy, you get workflows + real-time assistants, so you can choose the best tool for the job.

Critical user-level permissions for Enterprises

When enterprise leaders consider automation tools, security and granular permissions often top the list of requirements. Cassidy places heavy emphasis on this, offering advanced user-level permissions, plus the concept of “Collections” in its knowledge base. Collections let you compartmentalize data so that certain teams only have access to the relevant documentation. Even Cassidy’s AI assistants can be restricted to certain Collections, preventing them from ever pulling data they’re not authorized to see.

n8n.io, in contrast, has limited built-in security. While self-hosting is an option, managing user access, permissions, and data controls is left to the business, requiring extra setup and maintenance.

For companies that need tight security and AI-driven automation, Cassidy is the enterprise-ready solution.

Replacing vs. Connecting Tools

With Cassidy, teams often find themselves replacing or consolidating software solutions. Because the platform can draft proposals, reply to support tickets, and even manage entire AI-driven processes, it reduces the need for multiple point solutions. For example, a Cassidy workflow might handle an RFP from end to end: extracting questions from a spreadsheet, generating responses based on past proposals, and compiling everything into a final document for review. The same platform can then integrate with your CRM to enrich new leads, or automate sentiment-based ticket triaging for your support team.

n8n, while powerful at linking different apps into multi-step workflows, doesn’t intrinsically generate content or function as a knowledge repository. Instead, it’s best at connecting tools you already use—perhaps orchestrating that data across Slack, CRMs, or email. If your primary goal is to unify third-party services in custom sequences, n8n is a viable option. But if you’re looking to outsource entire tasks to AI, like drafting detailed documents or summing up complex data sets, Cassidy offers a more direct path.

Why Cassidy for AI Automation?

Enterprises need more than just triggers and actions; they need intelligent processes that tap into business knowledge, interpret context, and communicate seamlessly across departments. Cassidy is designed for exactly that. Its user-friendly, no-code environment ensures that even non-technical teams can harness AI power, backed by secure, granular permissions to protect sensitive information. Most importantly, Cassidy doesn’t just handle tasks; it excels at producing context-driven content and responses, often replacing entire tools your team currently relies on.

For businesses that primarily need custom data pipelines or already have a robust AI strategy in place, n8n.io is a capable workflow builder. However, if your organization wants to run full-fledged AI automations—and do so quickly, without the hassle of stitching together multiple AI services—Cassidy is the stronger, more future-proof choice.

Ready to experience Cassidy firsthand? Book a demo today to see how an AI-first automation platform can unify knowledge, streamline processes, and transform the way your teams work.

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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.