Claygent: How to Use AI Agents for Cold Email Research and Prospecting
Claygent is Clay's built-in AI agent that can browse the web, visit specific URLs, and extract structured information for your outbound campaigns. If Clay is the brain of your cold email operation, Claygent is the research team. It does in seconds what used to take a human researcher 5-10 minutes per prospect. At Alchemail, Claygent is involved in every campaign we build, and it is one of the main reasons we can deliver AI-personalized outreach at scale across $55M+ in pipeline generated.
This guide covers everything you need to know about Claygent: what it can do, how to write effective prompts, common workflows, and the mistakes to avoid.
What Claygent Actually Does
Claygent is an AI agent inside Clay that can:
- Visit any URL you provide (company websites, LinkedIn profiles, careers pages, news articles)
- Read and extract information from those pages
- Answer specific questions about the content it finds
- Return structured data that you can use in subsequent Clay columns
Think of it as a virtual research assistant that can visit thousands of websites simultaneously and pull back exactly the information you need for personalization.
What Claygent is NOT:
- It is not a general-purpose chatbot (it works best with specific, directed questions)
- It is not a data provider (it reads existing web pages, it does not create data)
- It is not infallible (some pages block it, some content is behind logins, and it can sometimes misinterpret what it reads)
Core Claygent Use Cases for Cold Email
Use Case 1: Company Research
The most common use case. Claygent visits a prospect's company website and extracts key information:
Prompt:
Visit {company_url}. Answer these questions:
1. What does this company sell or offer? (one sentence)
2. Who are their primary customers? (industries or company types)
3. What is their main differentiator or value proposition?
4. Are there any recent announcements visible (blog posts, press releases)?
Be specific and factual. If you cannot find an answer, say "not available."
What you get back: Structured research notes that feed into AI personalization columns. Instead of a generic "your company does great things," you can reference their actual product, their actual customers, and their actual recent news.
Use Case 2: Hiring Signal Detection
Job postings reveal a company's priorities and pain points. Claygent can visit careers pages and extract insights:
Prompt:
Visit {company_careers_url}. Answer:
1. How many open positions are listed?
2. Are there any sales, marketing, or business development roles open?
3. What departments seem to be growing?
4. Based on the job descriptions, what tools or technologies does this company use?
Only report what is visible on the page.
Use Case 3: LinkedIn Profile Research
Claygent can visit LinkedIn profiles to gather prospect-specific information:
Prompt:
Visit {linkedin_profile_url}. Extract:
1. Current job title and company
2. How long they have been in this role
3. Their previous role and company
4. Any recent posts or activity themes (if visible)
5. Education or notable certifications
Only report information that is visible on the profile.
Note: LinkedIn sometimes blocks automated access. Results vary based on profile privacy settings and access restrictions. Have a fallback plan for when LinkedIn data is not available.
Use Case 4: Competitive Intelligence
Understand what solutions a prospect might already be using:
Prompt:
Visit {company_url}. Look for any mentions of:
- CRM tools (Salesforce, HubSpot, Pipedrive)
- Sales engagement tools (Outreach, SalesLoft, Apollo)
- Marketing automation (Marketo, Pardot, Mailchimp)
- Data providers (ZoomInfo, Clearbit, Lusha)
Check the footer, integrations page, case studies, and any
technology-related content. Report what you find.
Use Case 5: Content and Thought Leadership Research
Find what your prospect or their company has published:
Prompt:
Visit {company_blog_url}. Find the 3 most recent blog posts.
For each, provide:
1. Title
2. Topic summary (one sentence)
3. Date if visible
Then identify the main themes across these posts.
Writing Effective Claygent Prompts
The quality of Claygent's output depends entirely on your prompt quality. Here are the principles we follow at Alchemail:
Principle 1: Be Specific About What to Look For
Bad: "Research this company" Good: "Visit {url}. What does this company sell? Who are their customers?"
Claygent works best when you give it specific questions to answer rather than open-ended research tasks.
Principle 2: Specify the URL
Always provide a specific URL rather than asking Claygent to search. It is a page visitor, not a search engine.
Bad: "Find information about Acme Corp" Good: "Visit https://acme.com. Extract their value proposition."
Principle 3: Include Fallback Instructions
Claygent sometimes cannot access a page or find specific information. Include instructions for these cases:
If the page cannot be loaded, return "page unavailable."
If a specific answer cannot be found, return "not found"
rather than guessing.
Principle 4: Request Structured Output
Tell Claygent exactly how to format its response:
Return your answers in this format:
Product: [what they sell]
Customers: [who they sell to]
Value prop: [their main differentiator]
News: [recent announcement or "none found"]
Principle 5: Constrain Length
Without length constraints, Claygent tends to be verbose:
Keep each answer to one sentence maximum.
Total response should be under 100 words.
Production Claygent Workflows
Workflow 1: Full Prospect Research Pipeline
This is our standard research workflow at Alchemail:
| Step | Action | Tool | Output |
|---|---|---|---|
| 1 | Import list from Apollo | Clay import | Raw prospect data |
| 2 | Enrich emails | LeadMagic waterfall | Verified emails |
| 3 | Company website research | Claygent | Company description, customers, value prop |
| 4 | Careers page research | Claygent | Hiring signals, growth indicators |
| 5 | Score prospects | AI column | Lead score (1-100) |
| 6 | Generate first lines | AI column | Personalized opening lines |
| 7 | QA filter | Formula column | Remove low-quality outputs |
| 8 | Export to SmartLead | CSV export | Campaign-ready data |
Time to process 1,000 prospects: 2-4 hours (mostly automated) Time without Claygent: 40-80 hours of manual research
Workflow 2: Account-Based Research for Enterprise
For high-value enterprise accounts, we run deeper research:
- Claygent visits company website for product/service information
- Claygent visits company blog for recent content themes
- Claygent visits careers page for hiring patterns
- Claygent visits press/news page for recent announcements
- AI column synthesizes all research into a prospect brief
- AI column generates a fully personalized email (not just first line)
- Human reviews every email before sending
Workflow 3: Event-Triggered Research
When a trigger event happens (new funding, leadership change, product launch), use Claygent to research the context:
- Trigger detected via Clay's event monitoring or external webhook
- Claygent visits the news source to get full context
- Claygent visits the company website to understand the company
- AI column generates a timely, relevant outreach message
- Fast-track to sending while the trigger is still fresh
Claygent Limitations and Workarounds
Limitation 1: Page Blocking
Some websites block automated access. Claygent cannot access content behind paywalls, login walls, or heavy bot protection.
Workaround: Use alternative data sources (Apollo, Clearbit) for companies with inaccessible websites. Fall back to Google cached versions when available.
Limitation 2: Dynamic Content
Claygent may struggle with heavily JavaScript-rendered pages where content loads dynamically.
Workaround: Target static pages (About, Careers, Blog) rather than dynamic landing pages with animations and interactive elements.
Limitation 3: Inconsistent Output Quality
For the same prompt, Claygent may produce varying quality outputs across different companies.
Workaround: Build quality filters into your workflow. Use an AI column after Claygent to evaluate output quality (score 1-10) and route low-quality results to a fallback path.
Limitation 4: Credit Consumption
Claygent uses Clay credits, and complex multi-URL research gets expensive at scale.
Workaround: Prioritize Claygent research for higher-value prospects. Use cheaper enrichment tools for basic data and reserve Claygent for the research that only a web-browsing agent can do.
Claygent vs. Other Research Methods
| Method | Speed | Cost per Prospect | Quality | Scalability |
|---|---|---|---|---|
| Manual research | 5-10 min | $2-5 (labor) | Highest | Lowest |
| Claygent | 10-30 sec | $0.05-0.15 | High | High |
| Standard enrichment (Apollo, Clearbit) | Instant | $0.02-0.05 | Medium | Highest |
| Custom web scrapers | Varies | $0.01-0.03 | Medium | High (after setup) |
| Perplexity AI | 15-45 sec | $0.05-0.20 | High | Medium |
Claygent hits the sweet spot of speed, quality, and scalability. It is not the cheapest option, but for the depth of research it provides, the cost-to-value ratio is excellent.
Advanced Claygent Techniques
Chaining Multiple Claygent Columns
You can run multiple Claygent steps in sequence, with each step building on the previous:
- Claygent Column 1: Visit company website, identify what they sell
- Claygent Column 2: Based on what they sell, visit their pricing page and extract pricing model
- Claygent Column 3: Visit their G2 or Capterra page and extract review themes
Conditional Claygent Execution
Use Clay's conditional logic to run Claygent only when needed:
- Only run Claygent on prospects with a lead score above 60
- Only run the careers page research if the company has 50+ employees
- Skip Claygent if Apollo already provides sufficient industry data
Claygent for List Building
Claygent can help build lists, not just enrich them:
Visit {industry_directory_url}. List all companies mentioned
on this page with their name and website URL.
Return as a structured list.
This is useful for niche industries where Apollo or LinkedIn have limited coverage.
Frequently Asked Questions
How accurate is Claygent's research?
In our experience, Claygent extracts accurate information 85-90% of the time when the page is accessible and the content is clearly structured. Accuracy drops for complex pages, heavily dynamic sites, or when the prompt is too vague. Always include a QA step in your workflow.
How much does Claygent cost per prospect?
Claygent typically costs 5-15 Clay credits per execution, which translates to roughly $0.05-0.15 per prospect depending on your Clay plan. Running multiple Claygent columns per prospect multiplies this cost. For a 2,000-prospect campaign with two Claygent steps, budget $200-600 in Clay credits.
Can Claygent replace a human SDR's research?
For 80% of research tasks, yes. Claygent can gather basic to intermediate company and prospect information at speeds no human can match. For nuanced research (understanding company culture from Glassdoor reviews, interpreting complex org structures, reading between the lines of earnings calls), humans still add value. The best approach is using Claygent for the bulk of research and human attention for top-tier accounts.
Does Claygent work with any website?
Claygent can visit most public websites, but some block automated access. Sites with heavy bot protection (Cloudflare challenges, CAPTCHAs), login requirements, or paywalls will not work. In our experience, roughly 80-85% of B2B company websites are accessible to Claygent.
How do I know if Claygent's output is good enough to use?
Build a quality filter into your workflow. After Claygent returns research, run an AI column that evaluates: "Does this research contain at least one specific, factual detail about the company that could be used for email personalization? Answer yes or no." Filter out the "no" results and use a fallback personalization approach.
Claygent is the research layer that makes AI-personalized cold email possible at scale. Without it, you are either doing manual research (slow and expensive) or sending generic emails (low performance). With it, you get prospect-specific research in seconds that feeds directly into your personalization pipeline.
Ready to implement Claygent-powered outreach? Book a call with Alchemail and we will build a Claygent research workflow tailored to your ICP.

