How to Write a Job Ad that Attracts Top Search Market Talent
Search isn’t dying, it’s multiplying. The biggest debate that’s run through the industry for decades is finally being put to rest. With the rise of the AI Search era, agencies that are not only surviving, but scaling (rapidly) are using this era to their advantage.
I’ve brought on successful Search leaders and Agency Owners onto the Agency Growth Club podcast, and, today’s article covers things a little differently. My latest episode pulls highlights from a few of my favourite responses to the AI Search era, and how teams are responding to it.
Across this roundup:
The throughline: budgets are rising because winning now means showing up everywhere intent lives, not picking one channel.
Jump to a section:
Rather than giving you my own take on where search is going, I decided to do something different this time. I pulled the best answers I’ve gotten from guests on the show this year — on budgets, pricing, what clients are now asking for, and how to stay ahead, and put them all in one place.
If you’re running an agency, or you’re in-house trying to work out what to bring to your clients next quarter, this one’s worth your time.
I asked Jason Hennessey (Founder, Hennessey Digital) about the moment ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews arrived and everyone started asking the same question: is SEO dead?
He told me reverse-engineering how these models actually work changed his answer:
“Say it’s 70% is kind of the foundational SEO stuff with content and authority and citations and technical infrastructure of websites, right? But that other 30%, it’s like, okay, that’s the stuff that we got to figure out again.”
What I took from this:
I wanted to know whether Jason was still educating clients on AI search, or whether that battle’s basically won at this point. His answer stuck with me: educate first, or a competing agency will do it for you.
“In the absence of you not educating, you’re at the mercy of another agency that comes in… that educates your clients and potentially pulls your clients away.”
He pointed to Hennessey Digital’s monthly webinar (a few hundred attendees, every time) as the mechanism, the same education-led model the firm was built on with his books Law Firm SEO and Honest SEO.
Travis Tallent (Founder, Daynova AI) gave me two reasons search budgets are climbing, not shrinking:
He also flagged something worth passing on to your own clients: YouTube budget usually sits with the creative team, but it needs to be paired with the search budget now, not managed separately.
Amir Alsayegh (Global Head of SEO/AEO, Crocs) opened this one by rejecting the binary “SEO is dead” framing outright.
His argument: search and AI haven’t replaced each other, they’ve dissolved into each other. The underlying behaviour: people searching for answers, hasn’t changed. Only the interface has.
Andrew Prince, who heads up AI search across Redfin, Rocket Mortgage, Reddit, Rocket Loans, Rocket Money, and Rent.com, pushed back on Amir a little:
“I’ll slightly contradict that in that they want speed of information, but they also want the accuracy of it. And I’m not sure we’re completely there yet on the AI side.”
He backed this up with a first-party signal: Bing search and click volume are trending up on some of his properties, and over 95% of ChatGPT users are still also using Google. His read: the shift to AI-first discovery is real, but it’s not total. Not yet.
Sophie Brannon (Co-Founder & Director, StudioHawk) contrasted that with people in our industry, who “use it all day every day” and have their own Claude agents and workflows running, a good reminder that our own habits aren’t representative of the wider market.
She also pointed out that commercial and transactional search intent is still largely happening on traditional search engines at the final purchase point, even as informational intent keeps shifting toward AI search.
I asked Charlie Clark (Founder, Minty Digital) where he sees search sitting in two years.
He told me he initially expected ChatGPT to take over the category outright, then revised that view, he’d predicted last year that ChatGPT growth would hit a wall, and he says that’s now playing out.
His read: Google, social, TikTok, and ChatGPT are all collapsing into “the same realm,” and the real challenge becomes forecasting and planning across all of them at once, since most of the tools we’ve got aren’t built for that yet.
Michael Ryan (Founder, Ink Digital) walked me through how travel-client strategy has changed now that people research trips across TikTok, YouTube, and multiple LLMs before booking anything.
He gave me one example that’s stuck with me: a luxury hotel prospect told him on a discovery call that he found the agency on three separate platforms (Google, AI search, and YouTube) before he even decided to book that call.
“So he found us on three different platforms, and obviously all of those platforms together enabled him to make that decision.”
What I took from this:
Michael told me YouTube is newer territory for his agency, but it’s built almost entirely from content they were already creating elsewhere, the same material that’s been going out on LinkedIn for years is now being reworked into scripts with a specialist B2B YouTube partner.
He was clear that the goal isn’t view volume: reaching the right decision-maker at low view counts is enough for YouTube to pay for itself in a B2B context.
Ashley Liddell (Founder, Deviation Agency) drew a distinction I found genuinely useful: “search everywhere” as a buzzword other agencies have picked up versus “search everywhere optimization” as Deviation’s own trademarked framework, connecting SEO, brand building, digital PR, and social search around user intent and journey, rather than gamifying individual AI/LLM answers.
Here’s how she put the technical difference from traditional SEO:
“The search everywhere mindset is our idea and it’s our approach to connecting the dots between the platforms and the channels… it’s our framework if you like.”
Her framework optimises for the user’s journey at the time, not for individual target keywords.
Ashley told me the industry has historically been built around winning non-brand search, but the biggest shift she’s seeing right now is brands asking how to become more seen and preferred inside AI conversations, effectively asking agencies to grow brand search, which she calls “completely alien” relative to SEO’s traditional focus.
The second shift she pointed out: clients increasingly want one strategic layer connecting search, social, PR, and branding, instead of separate disconnected efforts.
I asked Jonathan Dane (Founder, KlientBoost) the question I know a lot of you are quietly asking yourselves: should agencies cut their teams and just rely on AI agents instead?
His answer: AI is already well-suited to conditional-logic tasks, the kind of “if this is true, do this” work that sits inside paid media, and ad platforms are going to keep building this natively (he pointed to Meta’s announced “Andromeda” release as an example). Where he thinks agency value survives: deciding what happens after the automated step runs, and what you offer next as a differentiator.
Jonathan connected the difficulty of growing an agency to margin structure, he’d read an article arguing the future of agencies looks like software companies with software margins. He told me KlientBoost built its own proprietary software, Kite, around three differentiators:
“It creates this level of accountability that [clients] usually don’t see… we can say we have an X NPS score and we hit X percent of these goals for this service every quarter.”
That’s the kind of objectively defensible answer I think every agency should be able to give.
No, and every guest on this roundup told me the same thing. SEO and AI search have merged rather than one replacing the other. AI platforms synthesize answers faster, but the underlying SEO signals — content, authority, citations, technical infrastructure — still largely determine what those platforms surface.
Two drivers, per my guests: expanding paid search placements inside Google requiring more spend for the same results, and SEO itself now spanning far more platforms (Reddit, TikTok, Amazon, YouTube) than the website-only focus of a decade ago.
It’s Deviation Agency’s trademarked framework, which Ashley Liddell walked me through — connecting SEO, social search, digital PR, and brand building around a user’s intent and journey stage, rather than optimizing for individual keywords in isolation.
Yes — multiple guests told me brand search and AI-conversation preference is a new client request, a reversal from SEO’s historical focus on non-brand rankings.
Jonathan Dane’s take, and one I agree with: AI already handles conditional-logic execution (like paid media rules) well, and platforms will build more of this natively. What we retain as agencies is deciding what to do next once that automation has run.
Both, per Andrew Prince’s data: Bing referral clicks are still rising on some properties he tracks, and over 95% of ChatGPT users also still use Google — a long transitional period, not a sudden full switch.
Michael Ryan’s agency treats YouTube as a repurposing channel for content already built for LinkedIn, optimized for reaching the right B2B decision-maker rather than chasing view count.
Honestly, not much, and all three guests said as much. AEO (Answer Engine Optimisation), GEO (Generative Engine Optimisation), and AIO (AI Optimisation) are all describing the same shift: search is increasingly being answered by AI platforms rather than a list of blue links. The terminology is still settling across the industry. What matters more than the label is what you're actually doing about it, and right now, the fundamentals of good SEO are the same fundamentals that get you cited by AI platforms.
No, and this was the strongest point of agreement across the episode. Anthony from StudioHawk described it as clients "asking for a Ferrari when they need a Toyota." If your website is technically weak, your content is thin, or you have no link authority, optimising for ChatGPT or Perplexity visibility won't move the needle. The agencies seeing results with AI search are the ones who treated it as the cherry on top of a well-built SEO foundation, not the other way around.
All three guests called it an opportunity, not a threat. AI overviews sit at the top of the organic SERP, they're the first thing a user sees after paid ads. For agencies that learn how to structure content that gets cited in them, it's the biggest piece of SERP real estate available right now. Charlie's view: it's about producing content in a way that speaks to user intent and earns inclusion. That skill is worth building now, not later.
By shifting the metric from traffic to revenue. Click volume is declining across the industry, that's not a forecast, it's already happening. The agencies navigating this best are the ones who repositioned SEO as a commercial driver rather than a traffic play. As Charlie put it, "SEO is now being sold as what it was supposed to be sold as, a revenue-driving practice." Customers aren't going to say no to more revenue. They will push back on a traffic report that's trending down.
Significantly. Anthony made the point that two people searching for the same thing, say, a pair of shoes, may get completely different results based on their browser history, past behaviour, and query phrasing. That means targeting a single keyword is becoming less reliable. What works instead is content that gives Google and LLMs enough context to match it to a wide range of query variants: who the product is for, who it isn't for, what problem it solves, and why it's the best answer. Context-rich content wins over keyword-stuffed content in a personalised search world.
The conversation has moved away from static technical checklists. Given how fast the landscape is shifting, new model releases, Google updates, AI platform changes, specific hard skills have a shorter shelf life than they did two or three years ago. What all three guests converged on was the ability to learn quickly and repeatedly. That said, technical SEO foundations remain important, and any demonstrated experience with AI tools, prompt engineering, or building things (even side projects) is a strong signal. The hard skill that's lost relevance fastest is rote keyword research, the kind that doesn't require judgement.
Evidence of the learning pattern, applied to anything. Anthony's framing was clear: past behaviour is the best indicator of future behaviour. If a junior candidate has built a website, run a side project, completed relevant coursework on their own time, or developed a genuine expertise in any area, that shows the drive and initiative that transfers into SEO. It doesn't need to be polished or finished. It just needs to demonstrate that they've committed to learning something outside of what was required of them.
Because the pace of change means no static skill set stays current for long. Charlie put it directly, a new Claude release or a major model update can shift best practice overnight. In that environment, what matters most is whether someone has the curiosity and adaptability to keep learning. Cultural fit, in this context, isn't about personality match for its own sake. It's a proxy for whether someone will thrive in a fast-moving environment, take ownership, and stay engaged when the playbook changes underneath them.