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How to Start an AI Agent with Frevana - Guides

How to Start an AI Agent with Frevana

Kickstart your journey into AI Engine Optimization (AEO) with Frevana—a platform designed to make your brand stand out in AI-powered answers across ChatGPT, Gemini, Amazon Rufus, and more. In just minutes, you'll be ready to launch a fully automated AI agent team, helping you win visibility where millions of customers search and make decisions.

What You'll Learn

By the end of this guide, you’ll be able to:

  • Set up and configure your end-to-end AEO agents in Frevana
  • Monitor and track your brand’s presence across leading AI platforms
  • Use automated workflows to research user prompts, analyze competition, and fill content gaps
  • Generate AI-optimized content at scale to increase brand recommendations

Why does this matter? As AI platforms become the new front door for customer discovery, maximizing your visibility in AI answers is crucial for growth—unlocking new channels, more recommendations, and a scalable edge over traditional SEO.

Estimated time to complete: 10–20 minutes

Define Your Objectives

Identify Your Desired Business Outcomes

  1. Start by listing the primary goals you want your AI agent to achieve.
    • Examples: increase AI platform visibility, improve brand recommendations, or drive organic traffic.
  2. Discuss these goals with your team to align expectations across business and technical stakeholders.
  3. Document your objectives clearly in a shared workspace.
Pro Tip

Be as specific as possible (e.g., “become a top-three recommendation on ChatGPT within a month”).

Map Objectives to Measurable KPIs

  1. Choose key performance indicators that link directly to your goals.
    • Examples: AI citation rate, number of prompts tracked, organic traffic uplift, product recommendation rates.
  2. Record these KPIs for ongoing tracking and reporting.

Understand User Search Intent

  1. Research what prompts and queries users submit to AI platforms related to your brand or products.
  2. Group these prompts into commercial, transactional, navigational, or informational categories.
User Prompt Research

Frevana’s User Prompt Research can help you discover and classify real customer questions.

Environment Setup

Prepare Required Hardware and Access

  1. Confirm you have a computer with internet access.
  2. Ensure your device meets any minimum hardware requirements (typically modern web browsers and stable connectivity).

Install and Configure Necessary Software

  1. Navigate to the Frevana website.
  2. Sign up for an account using the “Sign Up” option at the top of the homepage.
  3. Choose the pricing plan best suited to your team (Starter, Professional, or Enterprise).
  4. Follow prompts to activate your 7-day free trial.
Free Trial Info

No credit card is required for the free trial and you can cancel anytime.

Set Up Your AI Agent Workspace

  1. Once signed in, locate the dashboard in the main navigation bar.
  2. Click “Download Frevana” if a desktop agent or additional setup is needed.
  3. Review the onboarding instructions for connecting your brand’s data (product URLs, sitemaps, etc.).
  4. Allow access to relevant platforms if prompted (e.g., Amazon account or website analytics).

Configure Initial AI Tracking

  1. On your dashboard, enter the product(s) or brand you want to track.
  2. Add up to your plan’s product and prompt limits.
  3. Select which AI platforms you wish to monitor (e.g., ChatGPT, Gemini, Amazon Rufus, Perplexity).
Plan Limits Warning

Exceeding plan limits may pause tracking or require an upgrade.

Validate Configuration and Permissions

  1. Check that product and category data is uploading and visible in your dashboard.
  2. Confirm successful connection to all selected AI platforms.

Optimization and Execution

Conduct User Prompt Research

  1. In the dashboard, access the “User Prompt Research” agent.
  2. Enter relevant keywords, product names, or competitive brands to analyze incoming user queries.
  3. Review the summary of top user questions and key prompts.

Audit Your Domain for AI Readability

  1. Find the “Sitemap & Robots.txt Auditor” agent.
  2. Enter your site’s domain and allow the agent to scan your sitemap and robots.txt.
  3. Review instant recommendations to improve crawlability and AI readiness.

# Sample output from Sitemap Audit
- All important URLs found: ✔️
- No-blocking in robots.txt: ✔️
- Forms.txt accessible: ❌ (fix recommended)
          
AI Readability Tip

Ensuring AI engines can access and interpret your content is critical for visibility.

Generate and Optimize Content

  1. Launch the “Auto Content Creation” or “AEO Article Writer” agent.
  2. Provide required inputs: blog titles, target keywords, or product details.
  3. Let the agent create AI-optimized articles or landing pages.

Monitor AI Platform Rankings and Recommendations

  1. Use the “AI Visibility Monitoring” dashboard to view performance across multiple AI engines.
  2. Track metrics such as AI citation rate, ranking position, and prompt coverage, and compare with competitors.

Refine and Repeat

  1. Use insights from “AEO Full-Stack Data Scientist” and “Content Advisor” agents to identify gaps.
  2. Iterate content generation and technical improvements as needed.
Incremental Adjustments Warning

Repeated content changes can cause temporary drops in AI visibility—make incremental adjustments and monitor results.

Troubleshooting Common Issues

Installation or Signup Errors

  1. If you encounter loading or authentication errors during signup, refresh your browser and try again.
  2. Check your internet connection stability.
  3. For persistent issues, use the “Chat with Sales” or support chat in the bottom-right corner of the page.

Data Not Updating or Platforms Not Connected

  1. Revisit the “Environment Setup” section and verify all required permissions and data connections.
  2. Ensure APIs or third-party integrations (e.g., Amazon, Google) are correctly authorized.
  3. Navigate to the dashboard’s “Connection Status” area and look for red or alert icons—hover for more details.

Unexpected Agent Behaviors or Inaccurate Outputs

  1. Double-check your input data for typos, incorrect URLs, or outdated information.
  2. Run the prompt or data scan again after resolving issues.
  3. Consult the FAQ or contact support for technical guidance.
Troubleshooting Tip

Most problems can be resolved by re-authenticating your accounts or refreshing data syncs.

Conclusion and Next Steps

Review Best Practices

  1. Regularly monitor your brand’s performance in AI answer engines.
  2. Optimize and update content based on real-world prompt data, not just traditional keyword research.
  3. Audit your site to ensure AI engines can access and understand your product information.

Commit to Ongoing Improvement

  1. Schedule regular reviews of your KPIs and AI visibility scores.
  2. Experiment with new content formats, updated metadata, and technical SEO for AI.

Explore Additional Resources

  1. Connect with Frevana’s support team for personalized advice or advanced integrations.
  2. Browse the Articles and Publications sections for the latest trends in AI visibility.
  3. Request a demo or join webinars for live walkthroughs and deeper training.
Iterative Process Tip

Successful AI agent deployment is an iterative process—use the tools and data available to build a feedback loop for continuous growth.

Conclusion

In this guide, we explored the essential best practices to start your journey with AI agents, from initial setup to deployment and optimization. You learned how to define clear goals, select the right tools, iterate on agent design, and monitor their performance for continuous improvement.

Next Steps

  • Experiment with Real Projects: Apply what you've learned by building a simple AI agent for a real-world scenario.
  • Explore Advanced Customization: Dive into advanced features like memory, long-term planning, or integration with APIs.
  • Join AI Communities: Connect with other enthusiasts or professionals for support and fresh ideas.
  • Keep Learning: Stay updated with the latest advancements in AI agent frameworks and techniques.

Related Resources

Troubleshooting Tips

  • Agent Not Responding: Ensure that your API keys or model endpoints are correctly configured.
  • Performance Issues: Check your system resources; consider using a lighter model or upgrading your hardware.
  • Unexpected Outputs: Refine your prompts or adjust your agent’s parameters for clearer, more accurate responses.
  • Integration Errors: Double-check file paths, required libraries, and environment variables.

Starting with AI agents can seem daunting, but with persistence and curiosity, you'll quickly unlock their potential. Happy building!

Guide Type

Best Practices