How to find a GEO/AEO specialist who will get you a real result

8–13 minutes
Hiring Guide

Everyone is suddenly a “GEO expert.” Most of them repackaged their SEO deck last quarter and swapped “Google” for “ChatGPT.” Here’s how to tell the practitioners from the rebrands before you sign a retainer.

If you’ve searched for a Generative Engine Optimization or Answer Engine Optimization specialist in the last few months, you’ve noticed the problem already: the market filled up overnight. Agencies that were doing generic content marketing in January are selling “AI visibility audits” in July. LinkedIn is full of new self-proclaimed GEO experts whose only credential is a slide deck with the word “prompt” on it.

That’s not a knock on the discipline. It’s real, it’s measurable, and it compounds. It’s a warning that the hiring bar right now is almost entirely vibes-based, and founders and CMOs are the ones paying for that gap. This is a practical guide to closing it: what the work actually looks like, the questions that separate practitioners from marketers, and the red flags that should end a call early.

Context

GEO and AEO aren’t a replacement for SEO — they’re what happens when your existing SEO foundation (crawlability, structured data, EEAT, content depth) is strong enough that AI models can confidently cite you. A specialist who talks about AI citations without ever mentioning technical SEO, schema, or crawlability is describing half the job.

What a GEO/AEO specialist actually does day to day

Strip away the buzzwords and the work is fairly concrete. A specialist worth hiring should be comfortable talking through all of the following without reaching for jargon:

  • Server-side rendering and crawlability audits — if your key pages render client-side only, most AI crawlers never see the content that would get you cited, regardless of how good it is.
  • Entity and schema markup — Organization, Person, Article, and FAQ schema that tell both Google and LLMs unambiguously who you are and what you’re an authority on.
  • Content structured for extraction — direct answers, clear definitions, and comparison-friendly formatting near the top of the page, because generative engines pull the passage that answers the question fastest, not the one buried in paragraph six.
  • EEAT signals — named authors with real credentials, author schema, transparent sourcing, and a site structure that doesn’t dilute topical authority across unrelated content.
  • Off-page citation building — the unglamorous part. Reddit threads, digital PR, third-party mentions, and community presence are frequently the actual source LLMs cite from, not your homepage copy.
  • Tracking across platforms — ChatGPT, Gemini, Google AI Overviews and AI Mode, and Perplexity each surface differently, and a specialist should be able to show you where you appear, for which queries, and why.

Notice what’s missing from that list: nothing about “prompting ChatGPT to rank better.” If that’s the extent of someone’s methodology, they’re not a GEO specialist — they’re improvising.

The questions that expose real experience

You don’t need to be technical to run this filter. You need to ask specific questions and pay attention to whether the answers are specific back.

“Can you show me a query where a client’s page is actually cited in an AI answer, and explain why that page and not a competitor’s?”
A practitioner pulls up a screenshot and points to the specific structural or content reason: freshness, a data point, a clearer definition. Someone improvising talks in generalities about “authority” and “relevance.”
“How do you measure success here, separate from organic search traffic?”
Good answers mention referral traffic segmented from AI platforms in analytics, brand query volume, and manual tracking of prompts over time, and are honest that AI referral volume is still small relative to organic search for most sites. Bad answers promise a “GEO ranking” that doesn’t exist as a concept.
“What does the first 30 days actually look like?”
You should hear a technical audit, crawlability and schema checks, and a content/entity gap analysis — before any content gets written. If the answer jumps straight to “we’ll start publishing AI-optimized articles,” the technical foundation is being skipped.
“What’s your actual SEO background?”
GEO is downstream of SEO. Anyone who can’t speak fluently about technical SEO, content strategy, or link building pre-2024 likely doesn’t have the foundation the newer discipline is built on.

Red flags to end the call on

01

Guaranteed AI citations or rankings

No one controls what a generative model chooses to cite. Anyone guaranteeing placement is guaranteeing something they don’t control.

02

No mention of technical SEO in the pitch

If crawlability, rendering, and schema never come up, the “AI visibility” service is likely just content writing with a new label.

03

Portfolio with no before/after data

Screenshots of an AI answer mentioning a brand are easy to produce after the fact. Ask for the query history, the timeline, and what changed before that citation appeared.

04

Pricing pitched like enterprise SEO, delivery like a freelancer

Ask directly who does the work — a named specialist or a rotating junior team. Solo specialists and small teams are not a downgrade, but the pricing and scope should be honest about capacity either way.

05

Reports full of vanity metrics

“AI visibility score” style metrics from a proprietary dashboard, with no reference to actual referral traffic, brand query growth, or documented citations, are hard to falsify and easy to inflate.

Solo specialist vs. agency vs. freelancer

There’s no universally “right” answer to the question who to hire to get your business cited in AI, because it depends on your budget, timeline, and how hands-on you want the work to be. But the trade-offs are consistent enough to lay out plainly:

Criteria Solo specialist Boutique agency Marketplace freelancer
Who does the work Same person, every time Often delegated to junior staff Variable, hard to verify
Technical depth Usually high — narrower scope forces depth Depends heavily on the individual assigned Ranges from strong to none
Communication speed Direct, no account-manager layer Slower — routed through account management Inconsistent
Capacity / scale Limited by one person’s hours Can run multiple workstreams in parallel Limited, project-based
Pricing transparency Usually clearest — scope maps to hours Often bundled, harder to itemize Cheapest, but scope frequently vague
Continuity risk Single point of failure if unavailable Lower — team can cover gaps High — no continuity guarantees
Best fit for Startups and mid-size teams wanting hands-on expertise without agency overhead Larger sites needing multiple workstreams run simultaneously Small, well-defined one-off tasks

What “good” honestly looks like

Set expectations correctly and this becomes a much less confusing hire. AI referral traffic today is real, growing, and — for most sites — still a smaller number than organic search traffic. A specialist who leads with organic search improvements and treats AI citations as the compounding bonus on top is describing the discipline accurately. One who leads entirely with AI numbers and treats organic search as an afterthought is either working with an unusually AI-heavy niche, or overselling.

The work is also slower than the marketing around it suggests. Technical fixes, schema, and content restructuring take weeks to be recrawled and re-evaluated. Citation building on Reddit, forums, and third-party sites compounds over months, not days. If someone promises visible AI citation changes inside two weeks, ask what, specifically, changes that fast, and be ready for the answer to be “nothing, technically.”

The specialists worth hiring right now are the ones who were doing technical SEO and content strategy before GEO had a name — the discipline changed labels, not fundamentals.

A short checklist before you sign anything

  • They can show a real, verifiable before/after example, not just a citation screenshot.
  • Technical SEO (crawlability, SSR, schema, EEAT) is part of the pitch.
  • They’re specific about how they’ll measure results, and honest about what can’t be guaranteed.
  • Pricing and scope match who’s actually doing the work.
  • They talk about organic search growth first, AI citations second.

If you want to see the real results, check our AI SEO Case Studies page: we break down what we did and what clients achieved after our strategy was implemented.

DK
Milya Kotlyarova
Founder & Head of SEO / AI Search, Linkrel Agency

10+ years in technical SEO and content strategy, now focused on AI search visibility for fintech, EdTech, and B2B SaaS brands. Works hands-on with every client rather than handing accounts to a Junior SEO.

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