AI Search Optimization

    Your candidates already found you. They just didn't visit your website.

    When someone searches "what's it like to work at [Your Company]" in ChatGPT or Claude, what answer do they get?

    Schedule Your AI Visibility Audit
    Image of two coworkers chatting at a desk alongside graphics of a Gaant Chart and timeline.

    The Shift is Already Happening

    If you're like most employers, the answer came from Indeed reviews, Glassdoor complaints, or Reddit threads. Your career site content didn't show up at all. Meanwhile, your competitor with worse Glassdoor ratings is capturing free career site traffic because they structured their content correctly six months ago.

    This isn't a future trend. Candidates are using ChatGPT, Claude, and Gemini right now to research your company, your culture, your roles. The question isn't whether to optimize for it. The question is who's defining your story while you figure it out.

    Candidate begins a job search

    Routed to a job board like Indeed instead of your career site

    Asks ChatGPT, Gemini or Claude: "What's it like working there?"

    Paid Ads Alone

    Gets answer from Glassdoor or Reddit (outdated info, mixed reviews)

    Doesn't Apply

    AI Search Optimization + Paid Ads

    Gets answer citing your career site with accurate, compelling info

    Applies with Higher Intent

    Why?

    The way candidates use AI driven search is fundamentally different from traditional search. Google shows you a list of links. ChatGPT/Gemini generates an answer by pulling from content it retrieves. Your career site was built for Google SEO. Keywords, backlinks, domain authority. But if your content isn't written and structured for AI extraction, you likely won’t get cited.

    By The Numbers

    59.6%

    AI Citations that Bypass SEO

    59.6% of AI citations bypass SEO and come from URLs not ranking in Google’s top 20.

    DAirOps 2026 State of AI Search
    60%

    Organic Traffic Loss

    LinkedIn disclosed a 60% drop in organic traffic after AI search rollout; employer brands are seeing similar patterns

    LinkedIn Marketing, Feb 2026
    48%

    AI Citations from Community Platforms

    48% of AI citations come from community platforms like Reddit, Glassdoor, LinkedIn, and Wikipedia, not company sites

    Kevin Indig Research 2026
    15%

    Ownership of Cited Content

    Of content citing an employer, only 15% comes from the employer's owned channels

    Talivity AI Visibility Diagnostics

    AI Search Optimization in 4 Steps

    We show you exactly where you're invisible (and who's winning instead).

    Step 1: The Diagnostic

    We test candidate queries based on the personas you're trying to attract across ChatGPT, Claude, and Gemini.

    • What's the nursing schedule like at [Hospital System]?
    • Does [Retailer] pay weekly or biweekly?
    • How competitive is [Tech Company] for senior engineers?

    We document every citation. Who gets mentioned when you don't? Why? What content or technical problems prevent AI platforms from citing you?

    What you get: Complete visibility audit showing where you're invisible, why it's happening, who's dominating those queries instead, and what specifically needs to change.

    Timeline: 4-6 weeks

    Then you decide. Fix it internally or bring us back for implementation.

    Step 2: Strategy & Implementation

    Most companies want us to handle it. We rewrite priority job content for AI extractability and implement schema markup. We develop FAQ content that AI can confidently cite. We optimize:

    • Sequential heading hierarchies (Most cited pages follow logical H1→H2→H3 progression)
    • Answer-first architecture that AI can extract cleanly
    • FAQ content targeting specific candidate questions
    • Quarterly refresh calendar (pages not updated in 3 months are 3x more likely to lose citations)
    • Multiple schema types
    • JobPosting, Organization, and FAQPage markup
    • Structured data that helps AI understand context and credibility
    • Community presence identification (Reddit, Glassdoor, industry forums)
    • Earned media and third-party mentions that build AI trust signals

    We coordinate with your dev team: We provide exact specifications for what needs to change or you can ask our full stack developers to implement on your behalf.

    Timeline: 6-10 weeks

    Step 3: AI Visibility Dashboard

    Once you're live, you can track it yourself or we can monitor it for you.

    • Citation rates across ChatGPT, Claude and Gemini monthly
    • Competitive share-of-voice (you vs. your talent competitors)
    • Mention + citation consistency
    • Application impact from AI-referred traffic

    When algorithms shift, we adjust. When new platforms emerge, we test them.

    Timeline: Monthly

    Step 4: See the Results

    What does this mean for your hiring? When you show up in LLMs, you own the content candidates use during job search. You capture your earned brand searches instead of losing them to job boards and enjoy:

    • Higher-quality applicants who researched you before applying
    • Improved conversion without increasing paid spend
    • Reduced reliance on job boards defining your reputation
    • AI-referred traffic converts at 4.4x higher rates than traditional organic

    Same Ad Spend. Better Conversion, Lower Cost-Per-Hire

    The compounding effect: When candidates see your recruitment ads after researching you in AI search, they're warmer. Your paid campaigns work harder because your organic presence built the foundation.

    Start With Your Diagnostic

    Most employers don't know where they're invisible until we show them. You'll see exactly which queries you lose, who wins instead, and what's broken. Then you decide what to do about it.

    Schedule Your AI Visibility Audit

    Frequently Asked Questions

    Ready to See Where You're Invisible?

    Schedule Your AI Visibility Audit