In a landscape where candidates increasingly turn to Large Language Models (LLMs) like ChatGPT, Claude, and Gemini to find their next role, the traditional rules of SEO are shifting. According to employer brand expert James Ellis, being found by talent today requires a new strategy: ensuring AI can find you, understand you, and trust what it finds.
Here are the key takeaways from Ellis on how to turn your career site into a high-performing AI search asset.
1. Give Your Company a Real Entity Homepage
Most Fortune 500 career sites fall into the trap of "cookie-cutter" messaging, using generic phrases about growth and purpose that make every company sound the same.
Take Ownership: Unlike third-party platforms, you own your career site and its domain authority.
Stand Out: Avoid "recruiting-speak" and "legal-speak". Use your site to clarify exactly what your company offers in a way that LLMs can distinguish from your competitors.
2. Make Your Claims Auditable
AI systems value evidence over empty marketing claims. If you claim to have a culture that "cares," you must provide proof.
Use Specific Examples: Ellis suggests moving beyond bullet points to include short, two-sentence stories or testimonials from employees.
Provide Data: Tangible proof—such as a specific policy or the amount spent on an employee benefit—serves as undeniable evidence for an AI to rank your company as a credible answer to a user's prompt.
3. Build Durable Pages, Not Disposable Posts
A common mistake is placing all high-quality content inside job postings that expire and disappear after 30 days.
Perpetual Evidence: LLMs look for evidence that is perpetual and evolving.
Reinforce Your Story: While job postings are important for initial impressions, that content should also live permanently on your career site to reinforce your brand pattern across the web.
4. Leverage Structured FAQs and Q&As
FAQs are "low-hanging fruit" that provide the context LLMs crave.
Feed the AI Context: LLMs struggle with ambiguity (e.g., distinguishing "CAT" the animal from "CAT" the tractor company).
Be Specific: Instead of a generic "What is it like to work here?", use detailed questions like "What is the day-to-day for a claims adjuster in our Chicago office?". This allows the AI to play a better "matching game" with user queries.
5. Prioritize Living, Fresh Content
Your career site should not be a static archive; it needs to show "signs of life".
Incremental Changes: You don't need a radical redesign every year. Instead, make small, weekly updates: swap a headline, add a new video, or refactor a company news story into a candidate-facing update.
Fractal Branding: Ensure your core value proposition is present in every sentence. If innovation is your brand, it should be indicated throughout the site, not just in a single headline.
Measuring Success in the AI Age
As search shifts away from simple link lists, traditional ranking becomes less relevant. Employers should focus on citation visibility and traffic coming directly from LLMs in their analytics. By narrowing your focus to be intensely appealing to your specific target audience, you ensure that when an engineer asks an AI for the best place to work in Chicago, your company is the one that gets the recommendation.
How are you currently adapting your recruitment content to ensure it is "understandable" to AI?