> This is the markdown version of https://www.classet.ai/blog/recruitment-seo-ai-search
> Learn more at https://www.classet.ai



![Paul Jones from Classet next to the headline: Can AI find your jobs? ChatGPT, Claude, Gemini](/_next/image?url=%2Fimages%2Fblog%2Frecruitment-seo-ai-search-hero.jpg&w=3840&q=75)

# Can ChatGPT Find Your Jobs? Recruitment SEO for AI Search

Candidates now ask ChatGPT, Claude and Gemini where to work. We audited real careers pages to see what those tools can read, and wrote up the fixes a recruiter can hand to IT.

[![Cooper Newby](/_next/image?url=https%3A%2F%2Fassets.basehub.com%2Fe0b5701f%2Fa5147cb3099ec037383fa0596c81e935%2F4.png%3Fwidth%3D100%26height%3D100%26quality%3D100&w=96&q=75)

Cooper NewbyCPO & Co-Founder at Classet

](/blog/authors/cooper-newby)

September 29, 2026

Guides & Insights, AI Recruiting

**Summary:** AI tools like ChatGPT, Claude, Perplexity and Gemini now answer "who's hiring near me" questions, and they can only recommend jobs they can read. In our audits, the common blockers were job boards embedded in iframes, AI crawlers blocked by security settings, missing Google JobPosting data, no pay on postings, and thin review profiles. Most fixes take your web developer an afternoon. You can check your own careers page with our [free GEO audit](/tools/geo-audit).

Picture a guy with eight years of HVAC experience opening ChatGPT on a Sunday night. His resume is already in there from last month, when he asked it to fix his bullet points. He types: "I'm looking for an HVAC role in Plano, Texas."

If you're [hiring HVAC techs](/use-cases/skilled-trades) in Plano, you want to be the answer. Most employers I talk to have no idea whether they would be, and a lot of them wouldn't.

Paul Jones, who leads growth here, and I recorded a video on this last week, and the question I kept coming back to was simple: can AI find my jobs and my careers page? So we built a tool that checks. This post covers what it looks for, what we found on real employers' sites, and what to do about it.

Loading video...

## SEO, GEO and AEO in plain English

SEO is whether Google can find your website and your jobs. You've been doing some version of it for years, even if the job boards did most of the work.

GEO (generative engine optimization) and AEO (answer engine optimization) are the same question pointed at AI tools: ChatGPT, Claude, Perplexity, Gemini, and Google's AI answers. These tools read the web, pull out facts, and hand a candidate a short list. If your careers page is hard for them to read, you're off the list before a human ever sees it.

Candidates are already doing this. A [Gdoc.io survey of 500 U.S. job seekers](https://www.globenewswire.com/news-release/2026/08/19/3347435/0/en/36-of-job-seekers-use-ai-in-their-search-and-half-never-tell-employers.html) this spring found about one in three used AI to find work, and most of them used it to research positions.

![Cooper Newby and Paul Jones from Classet with a chat bubble asking: Who's hiring near me? Candidates are asking AI](/images/blog/recruitment-seo-ai-search-candidates.jpg)

For recruiting, the payoff is fit. You get plenty of applicants already, and a good chunk of them [hit Easy Apply on forty jobs before lunch](/blog/the-ai-apply-dilemma-filter-unqualified-candidates-quickly). AI search works the other way. The candidate describes their experience, their commute, the schedule they want, the kind of crew they like working with, and the tool matches them to employers whose pages answer those questions. When it works, you get fewer applicants, and more of them fit the job.

## What AI checks on your careers page

The audit runs five groups of checks, and each one below comes with something we found on a real employer's site.

### 1\. Can AI get in?

Your robots.txt file tells crawlers where they're allowed to go. Plenty of sites block OpenAI's GPTBot or Anthropic's ClaudeBot, sometimes on purpose and sometimes because someone copied a template. If ChatGPT's search crawler (OAI-SearchBot) can't read your careers page, ChatGPT can't recommend your jobs. [OpenAI documents its crawlers here](https://platform.openai.com/docs/bots) if your developer wants the exact names.

The sneakier problem is the firewall. Security tools like Cloudflare can block AI bots even when robots.txt allows them. Nobody on the recruiting team would ever know. We test this by visiting your careers page the way those bots do and checking whether we get turned away.

### 2\. Can AI read your jobs?

This is the big one. A lot of applicant tracking systems let you "embed" your job board on your careers page inside an iframe, which is a frame that loads someone else's website inside yours. Candidates see the jobs. Most AI crawlers see an empty box.

Same story with job widgets that only show up after JavaScript runs. The page looks full to a person and empty to a bot. Our report shows both numbers side by side: jobs a person sees, and jobs an AI crawler sees. When those numbers don't match, that's the first thing to fix.

Jobs that live on your ATS's domain (think a Workday or Lever page) are readable, but the credit goes to their website instead of yours. That's a smaller issue. Ask your ATS vendor whether they support a custom domain like careers.yourcompany.com. (If you're not sure which ATS you're on, the audit tells you, and here's [the list we integrate with](/integrations).)

![Cooper Newby from Classet next to the headline: Is your careers page AI-ready? For recruiters](/images/blog/recruitment-seo-ai-search-ai-ready.jpg)

### 3\. Are your jobs structured for Google and AI?

Job boards all post jobs in the same format: title, pay, location, date posted, employment type. That's JobPosting structured data, a small block of hidden code on each job page. [Google requires it to show jobs in Google for Jobs](https://developers.google.com/search/docs/appearance/structured-data/job-posting), and AI tools use it to get your pay and location right instead of guessing.

Pay matters most here. We recently audited a large field-service software company with solid job data on every posting we checked. Zero of them listed a pay range. Pay is the first thing candidates ask AI about, and a job without it is easy for the tool to skip.

We also flag titles like "Tech II (Req #4471)." People search for "HVAC technician," and the req number doesn't help anybody.

### 4\. Does your careers page answer candidate questions?

When a candidate chats with ChatGPT, the questions get specific fast. Do they pay overtime? When do shifts start? Is there a sign-on bonus? Do I get a company truck? Will they pay for my EPA certification?

Those questions don't fit in a job board filter, so AI goes looking for pages that answer them. The cheapest fix I know is an FAQ at the bottom of your careers page with real answers. Two or three sentences each, with numbers. "Time and a half after 40 hours, and most techs pick up 4 to 6 hours of overtime a week in the summer" does more work than "competitive compensation."

The second fix costs nothing but a phone. Find your proudest, most well-spoken employees and film them talking about their day for 60 seconds. Post it on your careers page, YouTube and social. It helps recruiting on its own, and it gives AI detail about the job that a job description never will.

### 5\. Does the rest of the internet back you up?

Paul made the point in our video that you can't game this, and he's right. AI tools check what other people say about you, mostly on Glassdoor, Indeed and LinkedIn. If your careers page says "great benefits" and your Glassdoor profile is unclaimed with a two-year-old review about the break room, the AI believes Glassdoor.

So claim your profiles and make the benefits, pay ranges, schedules and locations match everywhere. Then ask happy employees for reviews at natural moments, like a 90-day check-in or a new certification, and ask them to describe the day-to-day instead of writing "great place to work."

Volume matters too. One HVAC and plumbing group we audited has a 4.6 on Glassdoor, which sounds great until you see it comes from 8 reviews at a company with thousands of techs. Eight reviews looks like noise to a candidate, and to an AI tool too.

The audit also runs the searches a candidate would run, like "jobs at \[your company\]" and "\[your role\] jobs in \[your city\]," and shows you the top results in order. When job boards fill that list, candidates who click apply there instead of on your site, and you [pay for the click](/blog/indeed-job-posting-cost).

## Take one step this quarter

Paul's advice at the end of the video was the right one. You don't need to fix all of this at once. Pick one thing, make it a Q4 goal, and you'll be ahead of most of your competitors. Here's the order I'd go in:

1.  **Run the [free audit](/tools/geo-audit)** on your careers page. It takes about a minute and sorts every fix by who owns it: you, your web developer, or your ATS vendor.
2.  **Send the web developer section to IT.** Unblocking AI crawlers and replacing an iframe are usually a few hours of work. The report includes the code.
3.  **Put pay on every job** and clean up titles. That one's all you. If you need a refresher on postings people trust, here's [how we write job postings](/blog/how-to-write-a-job-posting).
4.  **Add ten FAQ answers** to your careers page, using the questions your recruiters get every week.
5.  **Film two employee videos** and ask for five new reviews this month.

If your postings are older than 60 days, close or refresh them too. Stale listings read like [ghost jobs](/blog/ghost-jobs-tax), and AI tools push fresh ones first.

Getting found only helps if people finish applying and hear back, which is where most employers [lose candidates to silence](/blog/candidate-ghosting-guide). Most candidates apply from their phones, and account-required applications lose a lot of them at the first screen. That's why we built [Call to Apply](/demo), where a candidate applies by talking to Joy on the phone any time of day ([here's what candidates say about that](/blog/ai-interview-candidate-experience)) and the interview lands in [your ATS](/product/joy-sync-ats-plugin), and why we think about [careers pages built around instant interviews](/blog/instant-interview-career-pages). If you want to see how that looks on your careers page, [book a demo](/demo) and we'll walk through it.

## FAQ

What is GEO for recruiting?

GEO (generative engine optimization) for recruiting means making sure AI tools like ChatGPT, Claude, Perplexity and Gemini can find, read and recommend your jobs. It covers crawler access, how your job board is hosted, structured job data, the questions your careers page answers, and what review sites say about you.

Can ChatGPT see jobs inside an iframe?

Usually not. Most AI crawlers read the raw page, and an iframe loads your job board from another website, so the crawler sees an empty frame. Replace the iframe with plain links to each job, or render the jobs as real pages on your own domain.

Do I need JobPosting schema if my jobs are on Indeed?

Yes, if you want your own careers page to get the credit. Google requires JobPosting structured data to show your jobs in Google for Jobs from your site, and AI tools use it to read the job details without guessing. Most ATSes can add it. If yours doesn't, the audit gives you a support ticket you can send them.

How do reviews affect whether AI recommends my jobs?

AI tools check Glassdoor, Indeed and LinkedIn to answer "what's it like to work there?" A high rating from a handful of reviews carries little weight. A steady stream of recent, specific reviews that match what your careers page says carries a lot more.

How long does the GEO audit take?

About a minute. Enter your website or careers page and your work email at [classet.ai/tools/geo-audit](/tools/geo-audit) and you'll get a shareable report with fixes grouped by who owns them.

[![Cooper Newby](/_next/image?url=https%3A%2F%2Fassets.basehub.com%2Fe0b5701f%2Fa5147cb3099ec037383fa0596c81e935%2F4.png%3Fwidth%3D100%26height%3D100%26quality%3D100&w=128&q=75)

Cooper Newby

CPO & Co-Founder at Classet

Cooper brings a background in AI and acoustics from Stanford's CCRMA and previously co-founded BlueCrew, where he built data-driven workforce platforms at scale. At Classet, he leads the product and engineering behind Joy, the AI interviewer designed to feel genuinely human.

](/blog/authors/cooper-newby)

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## Explore More

### Use Cases

-   [RPO / BPO Recruiting](/use-cases/call-centers-bpo)
-   [Data Centers Recruiting](/use-cases/data-centers)
-   [Healthcare Recruiting](/use-cases/healthcare)

### Integrations

-   [Greenhouse](/integrations/greenhouse)
-   [Bullhorn](/integrations/bullhorn)
-   [Lever](/integrations/lever)