Automate your marketing with AI Agents [Online Workshop]

Welcome and Introduction

Opening Remarks

• The host welcomes participants to the session, encouraging them to share their locations and what they hope to learn.

• The host expresses gratitude for attendees' participation and hopes to meet their expectations during the session.

Session Overview

• Constance introduces the topic: "Automate Your Marketing with AI Agents," outlining that three progressively complex examples of AI usage will be discussed.

• The first 30 minutes will focus on presentation content, followed by a 15-minute Q&A session. Attendees are encouraged to use the Q&A function for questions.

Recording and Feedback

Session Logistics

• The session is being recorded and live-streamed on YouTube; links for recording, slides, and additional resources will be sent via email after the session.

• Attendees will receive a survey upon leaving the Zoom session to provide feedback for future workshops.

Basic Use Case of AI in Marketing

Introduction to AI Usage

• Constance emphasizes starting with basic AI applications in marketing, focusing on problem-solving within campaigns.

• Human involvement is crucial in planning tasks such as developing action plans, timelines, and tool selection before engaging AI.

Simple Task Examples

• A simple prompt example includes asking AI for keyword research or generating social media copy based on existing content.

Keyword Research Example

Practical Application of AI

• Constance shares an example where she used Claude Opus 4.8 for keyword research related to AEO and SEO tools over six months.

• The task saved time compared to manual research but highlighted that human oversight remains essential in marketing strategy development.

Understanding What Makes an AI Agent

Transitioning from Tasks to Projects

• As tasks become more complex, humans must plan broader marketing strategies while delegating specific tasks to AI agents.

Building Custom Applications

• An example involves using an AI agent to build custom applications that automate various marketing tasks through iterative design processes.

Advanced Use Cases of AI Agents

Looping Mechanism in Development

• Constance explains how advanced agents can loop through tasks autonomously, refining their outputs based on human feedback until ready for further instructions.

Brand Radar Analysis Example

• She discusses using Brand Radar data analysis involving prompts about brand identity and comparisons with competitors while emphasizing human input in planning stages.

Self-Sufficient AI Agents

Autonomous Decision-Making

• Discussion shifts towards self-sufficient agents capable of determining necessary actions without explicit human direction while still requiring oversight for quality control.

Discrepancy Detection Example

Constance describes employing agents tasked with identifying discrepancies across platforms like Reddit regarding outdated information about Ahrefs pricing changes.

AI Agent Platform Overview

Letito Introduction

• Constance introduces Letito (formerly known as Agent A), highlighting its purpose-built features designed specifically for marketers seeking automation solutions.

Overview of Agent A and Its Unique Features

Key Differentiators of Agent A

• Agent A integrates directly with the Ahrefs platform, providing seamless data access without needing additional API development.

• All functionalities available on the main Ahrefs platform are also present in Agent A, including tools like AI content helper and report builder.

• Using direct connectors does not consume your Ahrefs account's API limit, allowing full utilization of Ahrefs through Agent A.

Pre-Built Skills and Automation

• Pre-built skills created by expert marketers and engineers help automate tasks such as SEO analysis and link building opportunities.

• Users can share their creations within their workspace or publish them live as websites for team collaboration.

Customization and Task Optimization

Selecting Language Models

• Users can choose from various language models (LLMs), including free options, to optimize tasks based on capability requirements.

• For example, a less capable algorithm was used to analyze mentions of HRFs across AI responses.

Content Creation Automation

• Ryan Law has automated his blog writing process using Agent A; however, this feature is not yet live for all users.

• The automation pipeline includes steps like creating content briefs, outlines, drafts, and editing processes.

Examples of Automated Content Creation

Demonstrating Successful Use Cases

• Ryan Law successfully created blogs using AI-generated content by pulling information from projects in his workspace.

• The AI structured the content into an outline based on specific instructions provided by Ryan.

Efficiency in Content Production

• The process allows for quick edits at each stage while maintaining high-quality output without extensive manual effort.

API Access and Subscription Details

Clarification on API Usage

• Subscriptions for Latitud differ from those for Ahrefs; recent changes allow lighter plans to include API access at a more affordable rate.

Future Developments

• There is interest in publishing Ryan's content pipeline app; feedback indicates demand among users looking to streamline their own processes.

User Feedback and Platform Improvements

Addressing User Concerns

• Users expressed concerns about the intuitiveness of the UI; improvements are being considered as the platform evolves.

Encouraging Community Input

• Participants are encouraged to provide feedback via surveys after sessions to help improve user experience.

Conclusion and Next Steps

Session Wrap-Up

• The session concludes with an invitation for further questions or feedback before ending. Participants will receive follow-up emails with resources shared during the session.