Goldenhour: Exclusive Workflows for Attendees

First and foremost, thank you for joining us at Goldenhour!

Shikhar and Nathan were honored to have the chance to speak with everyone on how Copy.ai, the first ever GTM AI Platform, is optimizing every part of your go-to-market engine.

Feel free to test the workflow at the top of the page and learn how easy it is to enrich leads from a LinkedIn URL. This alone can help you create more targeted campaigns

Other Workflows Covered in the Session

1. Blog Post Section to LinkedIn Post

Try the workflow here.

Creating a series of LinkedIn posts from a single blog article through workflows significantly amplifies content reach and engagement, a strategy particularly beneficial for social media managers aiming to maximize the value of every piece of content.

Here's a brief outline of how this process works:

1. Select Blog Post Section: The workflow begins with the user selecting a specific section or key point within a blog post. This ensures that each LinkedIn post can focus on a unique angle or insight, making each social media post valuable on its own.
2. Summarize for Key Insights: The AI then summarizes this selected section, distilling it down to its core message or insight. This step is crucial for adapting the longer blog post content to the concise, impactful format preferred on LinkedIn.
3. Draft a LinkedIn Post: With the summary, the workflow generates a draft of the LinkedIn post. This includes crafting a compelling headline or opening line to draw attention, a brief but impactful body text that conveys the key message, and a call-to-action (CTA) to encourage engagement from the LinkedIn audience.
4. Personalize and Optimize: Now, as the human-in-the-loop, it's time to personalize the drafted post to fit your voice and the preferences of your LinkedIn network. This might include adding relevant hashtags, tagging thought leaders or companies mentioned, and ensuring the post aligns with the best engagement practices on LinkedIn.
5. Replicate for Additional Posts: This entire process can be repeated for different sections or key points within the same blog article, allowing the creation of multiple unique LinkedIn posts from one source. This strategy ensures a steady stream of valuable content, maximizing the blog post's outreach potential.

Using workflows to distill a blog article into several LinkedIn posts allows social media managers to efficiently scale their content strategy, ensuring consistent engagement with their audience without the need for continuous creation of new content.

The additional capacity to generate visual content further enhances the appeal and effectiveness of each post, making this approach a potent tool in a social media manager's arsenal.

2. Keyword to Blog Post

Try the workflow here.

Creating SEO-friendly blog posts at scale with workflows can be streamlined into a concise process focused on user input and AI-powered output.

Here's a quick rundown on how this works:

1. Add a Keyword: Start by inputting a target keyword based on SEO research. This keyword basically guides the entire content creation process.
2. AI Runs a Google Search: The workflow takes over to run a Google search with the provided keyword, aiming to understand what content currently ranks well.
3. Scrape Headings: From the top-ranking articles, the AI scrapes headings and subheadings, gathering insights on relevant topics and structures that succeed in search engines.
4. Generate Content Brief and Outline: Using the scraped data, the AI crafts a content brief detailing important SEO factors and outlines the structure of the blog post, ensuring it covers the necessary topics and aligns with SEO best practices.
5. Produce Long-Form Draft: The AI then elaborates on the outline to create a detailed draft of the blog post, integrating the target keyword naturally and ensuring the content is engaging and informative.
6. Polish AI Output: At this stage, you can review the AI-generated draft to fine-tune the content—adjusting for brand voice, coherence, and any additional SEO enhancements—transforming the AI draft into a polished, ready-to-publish blog post.
7. Publish and Monitor: Finally, the polished post is published. Performance should be monitored through analytics to gather insights for future content improvement.

Now, by simply inputting a single keyword and then refining the AI-generated content, users can efficiently produce SEO-optimized blog posts that are both high in quality and scalable.

3. Transcript to Thought Leadership Article

Try the workflow here.

To transform a transcript into a thought leadership article, the process is finally more genuine in that you're capturing the thought leader's actual thoughts (and not their ghostwriter's).

This approach follows a few automated steps, with your main tasks being the initial input and final editing.

Here's an overview of the process:

1. Input Transcript: Upload the transcript of a speech, interview, or video, which serves as the base material for the thought leadership article.
2. Extract Key Insights: The workflow processes the transcript to identify and extract the main points, insights, and recurring themes that showcase the thought leadership perspective.
3. Generate Article Draft: Leveraging those insights, the AI then crafts a long-form article draft. It expands on the extracted insights to create a coherent, comprehensive narrative that reflects the thought leader's expertise and viewpoints. Plus, it generates the content in their tone of voice.
4. Polish and Personalize: The user's role is to review and refine the AI-generated draft, ensuring it aligns with their unique voice and style, and improving it with additional personal anecdotes or industry statistics/knowledge as needed.
5. Optional YouTube Description Creation: If the transcript originates from a video, the AI will also generate a YouTube video description that summarizes the video's key messages, making it enticing for viewers and optimized for search.
6. Final Review and Publishing: After polishing, the thought leadership article is ready for publishing on the appropriate platforms, positioning the user as an expert in their field.

Your main responsibilities in this process are simple: provide the transcript and perform the final edits to the AI-produced content to ensure authenticity and personal touch.

The AI handles the heavy lifting of content generation and structuring, saving significant time and effort.

A Few Helpful Resources on GTM AI

GTM AI is a new concept to hit the market. As such, we're all still learning.

Check out these helpful resources to learn more about GTM AI, GTM Bloat, and how you can finally move your team toward GTM Velocity.

1) What is GTM AI?

2) Introducing the first GTM AI Platform

3) What is GTM Bloat?

Is Copy.ai just for Marketing?

Absolutely not! 

Copy.ai aligns the entire GTM engine, from sales, marketing, product, etc. What you saw at Goldenhour was specifically for marketing use case purposes, but that's just the tip of the iceberg.

For sales-related use cases, the best place to start is here: AI Sales OS.

That website will have a selection of pre-built workflows that you can start using today, out-of-the-box) to help your sales team generate more qualified leads for your pipeline.