How AI Is Changing SEO and PPC: What It Means for the Marketer You Hire

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AI is fundamentally reshaping both organic and paid search. Google AI Overviews now appear on 30% of desktop queries, according to Semrush's 2025 data, and paid click-through rates on AI Overview queries have dropped 68%, per a WordStream analysis of 10,000+ ad accounts. The clicks that do come through, however, convert at 65% higher rates — because casual browsers get their answer from the AI, and only the serious buyers click through. This isn't a blip. It's a structural shift in how search works, and it changes the type of marketer you need on your team.

This article breaks down what's actually happening to organic search and PPC, what skills matter now, and how to hire the right marketer for AI-era search.

What AI Overviews Are Doing to Organic Search

Google AI Overviews are AI-generated answer boxes that appear above traditional search results, pulling and synthesizing information from multiple web sources to answer queries directly in the SERP. They've gone from experiment to default — and they're rewriting the rules for organic visibility.

Semrush's March 2025 study found AI Overviews triggering on 30% of desktop queries and climbing. For informational queries — the bread and butter of most content marketing strategies — the trigger rate is closer to 47%. That's nearly half of your target keywords now showing an AI-generated answer before the first blue link.

But Google isn't the only AI eating organic traffic. Perplexity now processes over 100 million queries per month. ChatGPT's search feature is pulling users who would have gone to Google. Gemini is integrated directly into Android and Chrome.

This is where generative engine optimization (GEO) enters the picture. GEO is the practice of optimizing content so AI systems — not just Google's crawler — can find, understand, and cite it. Think of it as the evolution of traditional SEO.

The difference between GEO and traditional SEO? Traditional SEO optimizes for crawlers and ranking algorithms. GEO optimizes for large language models that read, synthesize, and attribute. GEO cares about structured data, entity precision, standalone section modularity, and named citations — things that help an AI decide your content is worth quoting.

If your SEO person hasn't mentioned GEO yet, that's a red flag. This isn't optional anymore.

What AI Is Doing to PPC and Paid Search

AI Overviews are crushing paid search click-through rates — but the full picture is more complicated than the headline suggests. The 68% CTR decline reported by WordStream applies specifically to queries where AI Overviews appear. Not all queries. Not all ad formats.

Here's what the data actually shows:

Metric AI Overview Queries Non-AI Queries
Paid CTR change -68% -3% (normal variance)
Conversion rate change +65% +2%
CPC change +12% +5%
Affected query types Low-CPC informational Minimal impact

The pattern is clear: AI Overviews absorb the informational clicks. The people who still click ads after seeing an AI answer are further down the funnel. They've already gotten the surface-level answer — they're clicking because they want to buy, compare, or get started.

This means the old PPC playbook of bidding on broad informational terms to build top-of-funnel awareness is dying. Smart PPC strategy in 2026 means concentrating spend on high-intent commercial and transactional queries where AI Overviews don't fully satisfy the user.

The PPC managers who are winning right now aren't fighting the AI — they're redirecting budgets toward the queries AI can't fully answer: complex comparisons, local services, personalized recommendations, and anything requiring a transaction.

The New SEO Skill Set — What to Look for When Hiring in 2026

The SEO marketer you hired in 2022 may not have the skills that matter in 2026. The field has shifted dramatically, and the most in-demand skill on MarketerHire's platform this year isn't link building or keyword research — it's structured data and entity optimization.

Here's what an AI-era SEO actually needs to know:

Skill Why It Matters in 2026 What to Ask in Interviews
Generative engine optimization (GEO) Content must be optimized for AI citation, not just ranking "How would you optimize a page to get cited in AI Overviews?"
Schema markup & structured data AI systems rely on structured data to understand and attribute content "Walk me through implementing FAQPage and Article schema"
Entity optimization AI Overviews prefer content with precise, consistent entity references "How do you approach entity mapping for a new site?"
AI SEO tools (Semrush AI, Ahrefs AI features) The toolset has changed — prompt fluency matters "Which AI SEO tools do you use daily and for what?"
First-party data strategy Third-party cookies are gone; SEO and content need to work with first-party data "How do you use first-party data to inform content strategy?"
Content AI can't replicate Original research, proprietary data, expert interviews — the moat against AI commoditization "What types of content do you create that AI can't?"

A quick gut check: if a candidate's SEO strategy still centers on "write long-form content targeting high-volume keywords and build backlinks," they're running a 2021 playbook. That approach still works for some queries, but it's not enough on its own.

The best SEO hires we see through MarketerHire right now combine technical SEO chops (schema, site architecture, Core Web Vitals) with a genuine understanding of how LLMs consume and cite content. That combination is rare — and it commands a premium.

Need someone with these skills? Hire a pre-vetted SEO expert through MarketerHire.

The New PPC Skill Set — What Your PPC Manager Should Know Now

The PPC manager you need in 2026 looks different from the one you needed two years ago. The shift from broad-match informational bidding to AI-aware, intent-focused paid search requires a different skill set — one built around first-party data, smart bidding fluency, and cross-channel collaboration with SEO.

First-party audience data strategy. With third-party cookies effectively dead and AI Overviews absorbing top-of-funnel clicks, PPC managers need to build and activate first-party audience segments. That means working with CRM data, email lists, and on-site behavior signals — not just Google's auto-generated audiences.

Smart bidding fluency. Google's AI-driven bidding (Target ROAS, Maximize Conversions, Performance Max) now controls most of the auction. Your PPC manager needs to know when to trust the algorithm, when to override it, and how to feed it better signals — not just set it and forget it.

Performance Max expertise. PMax campaigns are Google's default recommendation for most advertisers now. But they're a black box. A good PPC manager knows how to structure asset groups, set audience signals, and read the limited reporting to optimize effectively.

AI creative testing. Ad copy testing has changed. The best PPC managers are using AI tools to generate dozens of headline and description variants, then letting Google's systems find the winners. The skill isn't writing perfect ad copy anymore — it's setting up the testing framework.

Cross-channel collaboration with SEO. This is the big one. When AI Overviews show your organic content above the ads, your PPC and SEO strategies need to be coordinated. The best PPC managers now work with SEO on schema markup, landing page content, and keyword territory mapping — because organic and paid are no longer separate channels.

Looking for a PPC manager who gets this? Hire an expert PPC manager on MarketerHire.

Should You Hire a Generalist or a Specialist in the AI Search Era?

The answer depends on your company's stage, budget, and how much of your growth comes from search. If search drives less than 20% of your pipeline, a generalist can cover it. Above that threshold, specialists who understand GEO and AI-aware PPC consistently outperform generalists — here's the decision framework.

Your Situation Best Hire Why
Early stage, search is <20% of pipeline Growth marketer (generalist) You need someone who can run SEO and PPC alongside email, content, and social. Depth in AI search isn't critical yet.
Growth stage, search is 20-50% of pipeline SEO specialist + PPC manager Search is important enough to warrant dedicated expertise. Hire specialists who understand GEO and AI-aware PPC.
Scaling, search is >50% of pipeline Specialist team + fractional CMO You need deep specialists coordinated by strategic leadership. A fractional CMO or VP Growth can align the team.
Need AI search expertise but can't hire full-time Fractional SEO expert A fractional expert gives you senior-level AI search strategy at 10-20 hours per week. Common among MarketerHire clients.
Already have an SEO/PPC team but they're behind on AI Specialist consultant (short engagement) Upskill your existing team with a 2-3 month engagement focused on GEO, schema, and AI-aware PPC strategy.

One thing we see consistently across MarketerHire placements: companies that split SEO and PPC into two separate hires, even part-time, outperform those who bundle them into one generalist role. The skill sets have diverged enough that doing both well is increasingly difficult for one person.

If you're not sure where to start, browse expert marketers on MarketerHire and filter by AI search skills.

FAQ — Your Top Questions About AI and Search Marketing Answered

How is AI changing SEO in 2026?

AI is shifting SEO from ranking optimization to citation optimization. Google AI Overviews now appear on 30% of desktop queries, pulling answers directly from web content. SEO professionals must now optimize for both traditional crawlers and large language models through generative engine optimization (GEO), structured data, and entity precision.

What is generative engine optimization (GEO)?

GEO is the practice of optimizing content so AI systems can find, understand, and cite it. Unlike traditional SEO, which focuses on search rankings, GEO prioritizes structured data, modular content sections, named citations, and entity consistency — the signals AI models use when deciding which sources to quote in generated answers.

What skills does an SEO need in 2026?

An SEO professional in 2026 needs schema markup expertise, entity optimization, GEO strategy, AI SEO tool fluency, first-party data integration, and the ability to create original content that AI cannot replicate. Traditional skills like keyword research and link building still matter but are no longer sufficient on their own.

What's the difference between GEO and traditional SEO?

Traditional SEO optimizes for crawlers and ranking algorithms — page speed, backlinks, keyword placement. GEO optimizes for AI systems that read, synthesize, and attribute content — structured data, standalone sections, verifiable claims with named sources, and precise entity references. Both matter in 2026, but GEO is the growth edge.

Should I hire a full-time or fractional SEO expert?

Hire full-time if search drives more than 30% of your pipeline and you need daily execution. Hire fractional if you need senior AI search strategy at 10-20 hours per week, if you're upskilling an existing team, or if you're an early-stage company that can't justify a full-time specialist salary yet.

The Bottom Line

Search has split in two. There's the old game — rankings, clicks, blue links — and the new game — AI citations, generative answers, zero-click queries. Your marketing team needs to play both.

The marketers who thrive in 2026 understand that AI Overviews aren't a threat to fight. They're a new surface to win. And the skills required to win there — GEO, structured data, entity optimization, first-party data strategy — are specific, learnable, and increasingly available through expert freelancers.

Ready to hire? MarketerHire matches you with pre-vetted SEO experts and PPC managers who already know AI search. No job posts, no recruiter fees, no guessing.

Jenny MartinJenny Martin
Jenny Martin-Dans is a Growth Marketing Editor at MarketerHire. She’s led growth across DTC and B2B SaaS, scaling revenue to $50M and cutting CAC by 40%. She now focuses on AI-driven marketing ops and writes about growth hiring, channel strategy, and what works at the $2–50M stage.
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Jenny Martin
about the author

Jenny Martin-Dans is a Growth Marketing Editor at MarketerHire. She’s led growth across DTC and B2B SaaS, scaling revenue to $50M and cutting CAC by 40%. She now focuses on AI-driven marketing ops and writes about growth hiring, channel strategy, and what works at the $2–50M stage.

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