getting your jobs
into chatgpt

Introduction | Megan Tracy, VP, Global Relationships, Shaker

Welcome, everyone, and thank you for joining us for the first-ever Shaker Partner Showcase.

Before we begin, a quick note: during the live session, attendees were able to submit questions through the Q&A feature, and we reserved time at the end to address as many as possible.

I’m joined today by Ben Russell, Co-Founder and Chief Commercial Officer at SonicJobs, and Heidi Danger, Director of Channel Partnerships at SonicJobs. They are longtime friends of ours at Shaker.

At Shaker, we take our partnerships seriously. We believe collaboration with our partners helps us elevate and optimize our clients’ talent acquisition strategies.

Last week, I attended Unleash in Las Vegas and heard a speaker, Peter Hinssen, share a number of eye-opening statistics. One in particular stood out: there are more than 2.5 billion prompt requests on ChatGPT every day. That number is incredible. One of his key messages was this: the cost of waiting is catastrophic.

That brings us to today’s conversation. SonicJobs is a trailblazer in our industry. They are builders, future-thinkers, and problem-solvers. Today, they’re going to share how organizations can get their jobs into ChatGPT and in front of this rapidly growing audience.

Ben and Heidi, over to you.

Presentation | SonicJobs and the opportunity in ChatGPT | Ben Russell, Co-Founder & Chief Commercial Officer, SonicJobs

Thank you, Megan, and thank you to the Shaker team for organizing today’s session. We really appreciate it. And thanks to everyone attending—clearly this topic matters, based on the turnout.

I’m Ben Russell, one of the co-founders at SonicJobs. I’m originally from the UK and now live in the Bay Area with my family. I’ll be presenting today alongside my colleague Heidi Danger, who leads channel partnerships at SonicJobs and works closely with Shaker.

Here’s what we’ll cover today:

1. A bit about SonicJobs and our relationship with OpenAI
2. Why ChatGPT represents a major shift in candidate behavior
3. What we can learn from the early days of Google and SEO
4. Why the incentives are different in the LLM era
5. How ChatGPT’s apps ecosystem works
6. A live demo of the SonicJobs solution
7. Q&A

At SonicJobs, we’ve spent the last four years building technology in the U.S. to improve both the discoverability and apply-ability of jobs.

Our partnership with OpenAI has been developing over several years. We’re part of their startup ecosystem, we’ve had early access to emerging models and product initiatives, and we’ve worked closely enough with them to be well positioned for this next wave.

Why this matters now

The scale of ChatGPT is remarkable.

• 800 million weekly users
• Nearly 20 billion weekly prompts
• An estimated 40% of usage is U.S.-based
• An estimated 1 in 6 prompts already relates to jobs, careers, compensation, or work

This is where candidates already are.

What’s especially important is the growth rate. ChatGPT reached the same search volume that took Google 11 years to build—in only 2 years. If that pace continues, the platform could become comparable in scale within just a few years.

While today’s session focuses on ChatGPT, we view this as an LLM strategy, not just a single-platform strategy. We’re starting with ChatGPT because it currently holds the largest share of usage in the U.S., but we are already planning for additional LLM platforms.

What we can learn from Google

Let’s look back for a moment.

In the early days of Google, if you searched for job-related content, you often saw page after page of job board results before finding a company’s actual careers site. Many employers felt like job boards got there first—and stayed there.

Why did that happen?

In short, job boards recognized a major platform shift and aligned themselves with what Google wanted:

• Massive volumes of crawlable pages
• Consistent job-title and location structures
• Aggregated inventory
• Strong internal and external linking strategies
• Fast adaptation to emerging search incentives

They understood the platform and built for it.

Why this wave is different

The good news is that the incentives have changed.

Google was, and still is, fundamentally a search engine. It needed pages to index and ads to monetize. Before its IPO, roughly 98% of revenue came from advertising.

ChatGPT is different. It is fundamentally an answer engine, and increasingly an action engine. Its business model is more heavily tied to subscriptions and usefulness. It wants users to stay engaged inside the experience and complete tasks there.

That matters for talent acquisition.

The platform is not simply trying to list links. It is trying to help users achieve outcomes. That creates a new opportunity for employers to become the answer, rather than relying only on third-party intermediaries.

The rise of ChatGPT apps

At OpenAI’s developer event last year, ChatGPT introduced its apps product. The goal is to allow third-party tools to fit naturally into the conversation.

There are two main ways these apps can be discovered:

1. Implicit discovery

ChatGPT may suggest a relevant app based on the user’s intent and the context of the prompt.

For example, someone searching broadly for flights may be shown the Expedia app because it helps move the user from answer to action without leaving ChatGPT.

2. Explicit discovery

A user can directly call the app they want and engage with it intentionally.

For employers, this means a branded jobs experience can be both:

• found directly, and
• surfaced contextually within candidate conversations

That’s a meaningful new discovery channel.

Live demo overview | Heidi Denger, Director of Channel Partnerships, SonicJobs

I’m excited to show this in action.

In the demo, we used a Coca-Cola-branded careers app inside ChatGPT. Once the app is called, the user can interact with it just like they would naturally interact with ChatGPT.

For example, a user might prompt:

• “Show me jobs in Georgia”
• “I need to earn 75,000”

The app then returns matching jobs within the brand’s environment, using those prompts as filters. The user can continue refining results conversationally and click into a role they’re interested in.

When they click Apply, they are redirected into the employer’s ATS to complete the application.

This gives employers a branded, conversational job discovery experience directly within ChatGPT.

How the solution works

Explicit discovery

Once a branded jobs app is built, candidates can directly find that company inside ChatGPT. This gives the employer a dedicated presence on a platform already used by hundreds of millions of people each week.

Companies can also promote this experience through their own channels, encouraging candidates already using ChatGPT for job search and career planning to engage there directly.

Implicit discovery

This may be the more powerful opportunity.

By integrating all U.S. jobs into the app in a structured format, the underlying model has a stronger foundation for surfacing relevant opportunities when users ask broader questions related to skills, interests, location, salary, or career direction.

In other words, the brand is not only searchable—it can be introduced proactively when ChatGPT determines it is contextually relevant.

Beyond ChatGPT

SonicJobs is also building beyond ChatGPT, with work underway for other LLM ecosystems including:

• Claude
• Gemini
• Copilot
• Perplexity

The goal is to help employers build a future-ready discovery strategy across AI-driven candidate experiences.

Solution summary

SonicJobs’ approach creates a dedicated branded jobs experience, beginning with ChatGPT.

Key elements include:

• 100% of U.S. job inventory integrated, not just sponsored jobs
• An annual subscription model
• A lightweight onboarding process
• Minimal setup requirements: typically a logo and an XML feed
• Hourly job updates
• ATS redirection for applications
• Tracking through existing job source attribution workflows

Importantly, SonicJobs noted that only publicly available job data is shared for this solution. They stated that company-sensitive information and candidate data are not passed to OpenAI through this setup.

Launch partner offer

SonicJobs also shared that they are inviting a select group of companies to join as launch partners.

According to the presentation, launch partner benefits include:

• No-charge build and development of the branded app
• Inclusion of future integrations and enhancements
• Additional visibility as an early innovator, including being shared with OpenAI as a launch partner

Attendees were encouraged to contact their Shaker representative or SonicJobs directly for pricing and next-step discussions.

Closing remarks | Megan Tracy, Shaker

Attendees were encouraged to contact their Shaker representative or SonicJobs directly for pricing and next-step discussions.