How It Works
We ask AI the same questions your candidates do.
Then we show you the answers.
No black box. No vague scores. Just the actual AI responses candidates receive — word for word — with specific recommendations to improve each one.
The problem we solve
When a candidate considers your company, they no longer just Google you. They ask ChatGPT. They ask Perplexity. They ask Claude. And these AI tools answer — whether or not the information is accurate.
Without OpenRole
- • AI guesses your salary based on Glassdoor averages
- • Interview prep comes from 2-year-old Reddit threads
- • Benefits description is generic industry defaults
- • Candidates make decisions based on wrong information
- • You never know what they saw or why they didn't apply
With OpenRole
- • See exactly what AI tells candidates about you
- • Identify the specific questions AI gets wrong
- • Get a content playbook — what to publish, where
- • Track improvements weekly as AI cites your content
- • Benchmark against competitors in your industry
Four steps. From blind to in control.
1. We query AI like a candidate would
We ask ChatGPT, Claude, Perplexity, and Gemini the 8 questions candidates ask most: salary, benefits, interview process, culture, remote policy, tech stack, career growth, and employer reviews.
Example queries we run:
- → "What is the salary for a Senior Engineer at [Your Company]?"
- → "What benefits does [Your Company] offer?"
- → "Help me prepare for an interview at [Your Company]"
- → "What is the remote work policy at [Your Company]?"
2. We identify the information gaps
For each question, we compare what AI says against reality. We flag inaccuracies, missing data, and outdated information. We also check which sources AI is citing — your own content, or third-party guesses.
Common finding: AI says your salary is £55K when you actually pay £75K. Why? Because you haven't published salary bands anywhere AI can find them, so it defaults to Glassdoor averages from 2 years ago.
3. We give you a Content Playbook
Not vague advice — specific content recommendations. For each gap, we tell you exactly what to publish, where to publish it, and how to format it so AI picks it up. Templates included.
Example recommendation: "Add a salary range to your Senior Engineer listing on your careers page. Format: 'Senior Engineer: £75,000–£90,000 base + equity.' AI picks up structured salary data within 2-4 weeks."
4. We track the impact weekly
Every Monday, you get a report: what AI said this week, which gaps you've closed, which remain, and what to work on next. Watch your score improve as AI starts citing your content instead of guessing.
Why this works
AI models like ChatGPT use Retrieval-Augmented Generation (RAG) — they search the web for current information before answering. This means the content on your careers page directly influences what AI tells candidates.
AI follows authority
When your own domain ranks for employer queries, AI prefers your content over third-party guesses. Domain authority matters.
Changes happen fast
RAG-based AI (Perplexity, ChatGPT search) picks up new content in days. One company went from 0% to 11% AI visibility in 2 weeks from a single blog post.
You already have the answers
You know your salary bands, benefits, and interview process. The only problem is that it's not published where AI can find it. We show you exactly where the gaps are.
See it in action
Run a free audit on your company — or check out a sample report to see exactly what you get.