10 SEO/GEO job offers this week. 10 out of 10 demand AI.
Summarize this article with AI
A client is hiring a SEO Manager. He doesn’t know the role has already changed.
A client calls me on a Tuesday morning. He runs a catalog of 22,000 SKUs. Average order value of 87 €. He says: « Stéphane, I’m going to hire a SEO Manager. What profile do you recommend? »
I flip the question back.
« Do you want a classic SEO profile. Or a GEO specialist? »
Silence.
Time for him to search on his phone.
He didn’t know.
He’s not alone. Many e-commerce leaders haven’t yet absorbed the shift.
Yet the market has already moved.
I ran the test this week. On a TechSEO thread dedicated to job postings, I counted 10 recent openings. Not a single one was looking for a plain « SEO Manager. »
All demand AI expertise. AEO, GEO, AIO, generative discovery. The terminology varies. The substance is identical: SEO is no longer a game of ranking in blue links. It’s an architecture discipline for machines that answer questions.
10 out of 10 offers demand AI. Here’s what the market is saying this week.
Job postings don’t lie. Here’s the raw list, captured on May 6, 2025:
- Sr. Manager – SEO & GEO – Wynn Las Vegas
- AIO & SEO Manager – ServiceNow
- Intern, AI & Organic Growth – Life Extension
- SEO/AEO Manager – Marcel Digital
- Search Manager – SEO, AEO and Generative Discovery – Canyon Ranch
- Web Manager – SEO, AEO & GEO – Danaher
- Digital Marketing Internship (SEO/GEO) – Rails to Trails Conservancy
- SEO & AEO Manager – LegalOn Technologies
- Sr. SEO/AEO Manager (B2B SaaS) – Growth Plays
- Vice President, SEO & Generative Expérience – truncated but unmistakable
Ten offers. Ten mentions of AI.
100%.
ServiceNow, an 8-billion-dollar SaaS vendor, is not hiring a SEO Manager. It’s hiring an AIO & SEO Manager. The message is clear: organic AI intelligence is the pillar now, not an option.
Canyon Ranch, a wellness resort chain, blends SEO, AEO, and Generative Discovery. Same for Danaher, a NYSE-listed conglomerate.
None of these groups are AI startups. They’re established companies with structured budgets. They’re hiring for a reality already in place.
Why AEO and GEO became the standard in job postings.
I get this question at least 3 times a week: « What exactly is GEO? »
The answer fits in one sentence: GEO is SEO when the answer is no longer a blue link.
When a user asks a question, Google serves an answer generated directly on the SERP. Sometimes via SGE, sometimes via a citation carousel, sometimes via a snippet enriched by an LLM. ChatGPT, Perplexity, Bing Copilot: they all pull sources from web content.
Not being ranked means disappearing. Not from rankings, but from the answer.
GEO means building a semantic architecture that lets generative AI cite your pages as a trusted source. To do this, you need to:
- structure entities and semantic relationships
- build internal linking as semantic cocoons
- tag every piece of content with machine-readable structured data
- deliver explicit trust signals (E-E-A-T)
This is exactly what I’ve been implementing for e-commerce clients since 2016 with semantic cocoons. Before, it boosted classic rankings. Now it also boosts presence in AI answers.
Recruiters understood this before many consultants did. They’re not asking for a backlink specialist anymore. They’re asking for an information architect for AI.
An e-commerce client trained his team on GEO: +14% extra organic traffic.
January 2024. I work with an online apparel retailer. 12,400 products, 940 catégories, stable organic traffic at 82,000 sessions per month. The SEO team—2 people—work classically: link building, on-page optimization, rank tracking.
Neither had heard of GEO.
I showed them semantic cocoon architecture. Helped them identify thematic silos to restructure. Gave them a methodology to integrate Article and FAQPage structured data to make extraction easier for AI.
Content production volume doesn’t change. But its orientation does: each page answers a specific intent, each entity links to its definition, every JSON-LD schema cites the right sources.
Seven months later, classic organic traffic is up 11%. And a new source has appeared: roughly 14% of total traffic now comes from citations in AI-generated answers from Google and Bing.
14% additional sessions. Without spending a euro more on content. Just by changing the architecture.
I see the same magnitude across 7 e-commerce projects I’ve tracked for 18 months. AI doesn’t add a channel. It adds an acquisition layer that rewards structure.
Counter-intuitive: the most-sought skill isn’t prompt engineering.
When you see « AIO & SEO Manager, » you think you need to master prompting. Be able to talk to ChatGPT to generate content.
Wrong.
Prompting is foam. Any intern can write a solid prompt in 2 hours. What companies pay for is the ability to build a system of pages that feeds AI without manual intervention.
Danaher isn’t looking for a prompter. It’s looking for a Web Manager – SEO, AEO & GEO who can rethink hundreds of pages so they become automatically extractable.
The core skill is semantic architecture. It’s knowing how to organize a site into silos, into linked entities, with a coherent layer of structured data. This is exactly what I teach via the DOSE method (Deploy, Optimize, Structure, Exploit), inherited from Guillaume Attias’s BMO Academy.
In 90% of « GEO training, » they sell you prompt templates. I show you how to build a semantic mesh that will make your site speak to every AI without producing an extra word.
That’s why the postings say it: « Generative Discovery. » It’s not content generation. It’s automatic discovery of your content by machines.
How e-commerce teams should hire in 2025.
If you manage an e-commerce site with 500+ products, you’re going to hire or evolve your SEO team. Three strong signals from this week:
- The job title must include GEO or AEO. Otherwise, you won’t attract candidates who’ve already worked these topics. And they exist, trust me.
- The job description must talk architecture, not backlinks. Ask for expérience in semantic structuring, JSON-LD, and entity-focused internal linking.
- The technical test shouldn’t focus on keyword analysis. Give them 50 catalog pages and watch how they link them semantically. That’s the real job.
These three moves change everything. I coached 4 e-commerce leaders last year on SEO hiring. Those who bet on a GEO profile saw results in 6 months versus 18 months for a classic SEO hire.
The question I asked that client. I’m asking you.
The client this morning finally answered.
« I want both. Solid SEO and GEO. »
We looked at an active job posting. A Search Manager role at Canyon Ranch. « SEO, AEO and Generative Discovery. »
He smiled. He got it.
SEO is dead, long live SEO. No, it’s not dead. It’s mutating. And those who don’t see it keep hiring profiles from 5 years ago for a job that no longer exists.
The day you post a « classic SEO » role, you’ll get 47 CVs. Maybe 2 will mention AI. And those 2 will do work the other 45 can’t do.
The real question is: will your next SEO posting mention GEO?
Or will you wait for competitors to take the 14%?
Live semantic audit. I’ll show you your pages.
For 90 minutes, I take your e-commerce site and analyze your semantic architecture. You leave with a clear diagnosis: which pages can capture AI traffic, where your weaknesses sit, and how to structure your SEO/GEO team. No PowerPoint. No fluff.
Book a strategic call — 45 minFrequently Asked Questions
What’s the difference between SEO, AEO, and GEO?
SEO optimizes for classic results. AEO (Answer Engine Optimization) optimizes for direct answers, often voice. GEO (Generative Engine Optimization) optimizes for extractions by generative AI. Concretely, good GEO integrates AEO and technical SEO.
Why do 100% of SEO postings now include AI?
Because engines like Google SGE, Bing Copilot, and Perplexity are changing how traffic is acquired. Recruiters get it: a SEO expert who doesn’t master optimization for these channels leaves revenue on the table.
What concrete skills matter for an SEO/GEO role?
Semantic architecture, thematic cocoons, structured data (JSON-LD, schema.org), entity-focused internal linking, and awareness of generative AI algorithm shifts. No need to be a data scientist, but you must understand how machines read a site.
Can my current SEO team evolve toward GEO?
Yes. Most solid SEO practices are a foundation. Add training in entity architecture and structured data schemas. On projects I accompany, the transition takes 2 to 3 months of upskilling.
Does AI traffic replace classic SEO traffic?
Not entirely. I observe an additive effect across my e-commerce clients: AI traffic comes on top of classic SEO. About 14% additional sessions on well-architected sites. That figure could grow with future updates.
