I wanted to know what’s actually happening. Not what we think should happen, not what the conference circuit is selling. What are companies really asking for when they hire SEO professionals in 2026?

So I pulled over 6,400 recent job descriptions from LinkedIn across the US, UK, Canada, Germany, France, and UAE. All SEO-related roles, from junior specialists to VP-level positions. I ran them through an analysis to find out: has the rise of LLMs actually changed what organizations expect from us?

The short answer: yes, but not in the way most people assume.

The “GEO” Question Is Settled

Let’s address the terminology debate first. I was curious whether any of these new terms had real traction, or if it was all LinkedIn performance art.

Turns out “GEO” won. It appears in 323 job descriptions, significantly ahead of “AEO” (Answer Engine Optimization) at 128 mentions. ChatGPT as a specific skill requirement shows up in 279 postings. LLM knowledge is mentioned 210 times.

That’s roughly 16% of all postings explicitly mentioning AI search or LLM-related terms. Not a majority, but substantial enough that you can’t ignore it.

But here’s the context that matters: Google Analytics still appears in over 1,100 job descriptions. Semrush shows up 697 times. The traditional toolkit isn’t going anywhere.

The new skills are additive, not substitutive. You still need to know your way around Search Console and Ahrefs. You just also need to understand how LLMs work now.

The US Is Playing a Different Game

Here’s where it gets interesting. The adoption of AI-related requirements isn’t even close to uniform globally.

In the United States, 23.3% of SEO job postings mention AI/GEO terms. That’s nearly one in four jobs. In Germany, it’s 11.4%. Canada and UK hover around 10.5%. France sits at 9.5%. The UAE? Just 3.4%.

The gap between the US and everywhere else is striking. American companies are either ahead of the curve or overreacting to the hype. Probably both, depending on the company.

It’s a Leadership Problem, Not an Execution Task

One of the clearest patterns in the data: AI search optimization is being treated as a strategic challenge, not a tactical one.

Leadership roles (Head, Director, VP) show a 20.7% adoption rate for these new skills. Managers are at 20.1%. Junior roles? Just 4.7%.

Companies aren’t hiring entry-level employees to “do the AI stuff.” They’re bringing in experienced strategists to figure out what the AI stuff even means for their business.

This tracks with reality. There’s no established playbook for GEO yet. No checklist to follow. When your traffic from AI Overviews starts mattering, you need someone who can think through the implications, not just execute a process that doesn’t exist.

The Technical Escalation

Here’s an interesting finding: jobs requiring AI/GEO skills are twice as likely to also require coding skills.

29.7% of AI-focused SEO jobs require Python, SQL, or similar technical abilities. Traditional SEO jobs? Just 14.2%.

This isn’t about prompting ChatGPT better. The new “GEO” role is becoming a hybrid part marketer, part data scientist. You’re expected to analyze, build, and automate, not just optimize.

Technical SEO requirements also jump significantly in AI-focused roles (+19.1% compared to traditional postings). Schema markup, site architecture, crawlability, these foundational skills become more important, not less, when you’re trying to get cited by language models.

The Tool Stack Is Evolving (Slowly)

Despite all the AI buzz, the actual tooling requirements tell a more grounded story. Semrush and Ahrefs remain the undisputed kings of the SEO toolkit. But ChatGPT has firmly planted itself as the third most requested tool proficiency.

Specialized AI writing tools like Jasper and Surfer SEO? Still niche. Claude and Perplexity are showing up, but in small numbers. The market hasn’t fragmented into a dozen AI tools yet—it’s consolidated around ChatGPT as the default.

I believe companies don’t care which AI tool you use. They care that you understand how to work with LLMs at all. ChatGPT is shorthand for “can work with AI,” not a specific technical requirement.

What This Actually Means for Your Career

Let me be direct about the implications.

If you’re a SEO professional and you’re planning to keep doing exactly what you’ve been doing, you’ll probably be fine for now. “Google Analytics” still appears in over 1,000 job descriptions. “Keyword Research” is still mentioned more often than “GEO.” The fundamentals haven’t been replaced.

But if you want to advance into leadership roles, the math is changing. You need to be conversational in LLM concepts. You definitely need to be able to think strategically about problems that don’t have established solutions yet.

The Real Question

Here’s what I keep coming back to: is any of this actually about skill, or is it about signaling?

Some percentage of those 323 GEO mentions are probably just recruiters adding buzzwords. Some companies asking for “LLM knowledge” couldn’t tell you what they want someone to do with it.

But the pattern is consistent enough across regions, seniority levels, and company types that I don’t think it’s all noise. Something real is shifting in how organizations think about search optimization.

The debate over whether GEO is “real” or just “SEO with extra steps” misses the point. Companies believe it’s different enough to change their hiring criteria. That makes it real in the only way that matters for your career.

My suggestion: don’t overthink the terminology. Focus on the underlying capabilities. Get comfortable with technical analysis and develop your strategic thinking.

The specific acronym might change. The direction won’t.

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What I’m against is relying on AI to actually create your content.

The Google Reality Check

Let’s look back at 2023 when Google introduced the Helpful Content Update. Search engines exist to provide the best results to users. Google, as the biggest search engine, spends massive amounts on crawling, analyzing, and improving its AI to assess content quality. When AI-generated content started flooding the web, it raised Google’s costs to crawl and analyze all of it.

That’s why they introduced the Helpful Content Update—one of the most important updates in recent years. The core idea is simple: content should create value and be helpful. But why is helpfulness so important now? Because we already have thousands of articles on general topics. The real question is whether new content is necessary, or if it brings a new point of view or experience that didn’t exist before.

Think about it this way: if I write about the calories in eggs, is it really needed? Will it change anything or bring something new? Usually not. Value comes when what we publish brings a new perspective or experience. Google wants to know if the writer has the needed experience, because a real expert will have a unique viewpoint. That’s when new value is created, and that’s when content has a better chance to be seen.

Why AI Content Fails

Here’s the fundamental problem: large language models are trained on existing content and can’t create something truly new. They rearrange what already exists based on prompts. Creation is what matters now, and AI can’t go beyond its training to do real research or trial and error, especially in areas like YMYL (Your Money or Your Life) topics and specialized fields.

As we move through 2025, concepts from E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) and the Search Quality Rater Guidelines are more important than ever.

The Hype vs. Reality

There’s a hype among company managers and stakeholders who fear they’re falling behind if they don’t use AI. They get excited thinking they can publish lots of content and believe they’re being smart. Some inexperienced people even switch to “AI Content Engineer” roles, thinking they can generate impressive results. But in reality, they’re just producing repetitive content with different wording.

My question to them is: how much new value are you really creating? Can you be honest with your audience and tell them this was AI-generated? Can you claim a real expert wrote it? These are the exact questions you’ll find in Google’s helpful content guidelines.

Real-World Failures

We’re seeing the consequences play out in real time. Let me share some concrete examples:

1- The “SEO Heist”

That Backfired In late 2023, a startup called Casual tried something that seemed clever at first. They looked at their competitor Exceljet—a site with thousands of well-structured articles about Excel formulas—and decided to copy their approach using AI.

Here’s what they did:

• Exported Exceljet’s complete sitemap

• Converted the URLs into AI prompts

• Generated about 1,800 articles in hours

• Published everything immediately

Initially, it seemed to work. Traffic surged from near-zero to 490,000 monthly visits. But then the operator bragged about it on Twitter, calling it “stealing” traffic. That got Google’s attention.

The site was hit with a “Pure Spam” manual action. Traffic plummeted from 610,000 visits to under 200,000, then eventually to almost nothing. The deep pages they’d generated were completely deindexed—dropping to just a single page in Google’s index.

2- The 22,000-Page Disaster

Another example is TailRide (formerly GetInvoice). They tried using programmatic SEO with AI to shortcut their growth. They generated over 22,000 pages targeting random long-tail keywords like “forever 21 return policy” and “dual digital option”—topics completely unrelated to their invoicing software.

At first, they saw millions of impressions and hundreds of clicks. But on February 28, 2024, their traffic dropped to zero overnight. The penalty was so severe they had to abandon their entire brand and domain, rebranding from GetInvoice to TailRide.

Read their Blog Post

3- The “325 Posts Per Day” Case

One of the most extreme examples is ZacJohnson.com. Between September 2023 and March 2024, this site published over 60,000 articles—averaging about 325 posts per day. Let that sink in: 325 articles every single day.

The site shifted from legitimate marketing advice to covering everything celebrity gossip, “best-of” lists, trending news basically anything with search volume. They used AI to mass-produce content on topics completely outside their expertise, hoping to capture broad traffic for ad revenue.

The result? Traffic collapsed from approximately 8.2 million monthly visits to zero. The entire site was deindexed.

Other Examples

FreshersLive.com:

Lost approximately 10 million monthly visits when deindexed

EquityAtlas.org:

Dropped from 4 million monthly visitors to near zero

Beingselfish.in:

Fell from 1 million+ visits to zero

Google’s New Definition of Spam

In March 2024, Google fundamentally changed its spam policies. They introduced the concept of “Scaled Content Abuse,” defining it as “generating many pages for the primary purpose of manipulating Search rankings and not helping users”—regardless of whether it’s done by AI, humans, or a combination.

This definition focuses on intent and value rather than method. Even if a human edits every AI article, if the intent is to flood Google with low-value content to capture traffic, it’s spam.

The Trust Problem

Here’s what many people miss: Google’s “Helpful Content” system creates a site-wide signal. If you have 100 excellent human-written articles and 5,000 AI-generated filler pages, Google identifies your entire domain as “mostly unhelpful.” This negative signal suppresses the rankings of all your pages, including the good ones.

This is why simply deleting bad content (called “pruning”) is often required for recovery—the bad content actively drags down the good content.

My Bottom Line

That’s the main reason I’m against AI content creation. We’re in a game where if you don’t create real value, you shouldn’t be seen. AI should be a helper in your process for research, analysis, and organization. But the actual creation needs to come from real experience and expertise.

When you publish AI-generated content at scale, you’re not just risking a ranking drop. You’re risking:

• Complete deindexing from Google

• Manual penalties that can permanently damage your domain

• Loss of trust that spreads across your entire website

• Having to abandon your brand and start over

The sites that are succeeding now are the ones that can prove a human expert actually created the content, brought real experience to the topic, and added something new to the conversation.

If you can’t honestly tell your audience that a real expert with genuine experience wrote your content, then you shouldn’t publish it. It’s that simple.

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Technical Related Tips

1. Carefully Read the Job Description:
   Pay attention to the requirements and expectations. If there’s a skill or topic you’re unfamiliar with, do some basic research beforehand.

2. Adopt a Business-Oriented Approach:
   Don’t let your technical answers drift away from business objectives. The ultimate goal of SEO is to drive relevant traffic that helps grow a business. Always consider the business impact of your strategies.

3. Show Awareness of SEO Trends:
   One of the most important skills in SEO is continuous learning. With constant changes in search engines and the rise of platforms that act as search engines (e.g., Amazon, TikTok, YouTube, ChatGPT), it’s crucial to show that you’re up-to-date with trends and have perspectives on them.

4. Master Crawling and Indexing Concepts:
   These may seem basic, but trust me, I’ve worked with senior and managerial-level SEOs who lacked a deep understanding of these concepts. Google has extensive documentation on crawling and indexing—use it to enhance your expertise.

5. Understand Page Speed Optimization:
   While there’s debate about how much page speed directly affects rankings, improving it enhances user experience, which indirectly benefits SEO. Master the concepts of page speed optimization thoroughly.

6. Deeply Understand Rendering Concepts:
   One of the most challenging topics in SEO is how Googlebot renders your pages. Strengthen your knowledge of various rendering solutions and their impact on search engines. Also, learn about testing methods and the tools available for rendering analysis.

7. Think and Respond Data-Driven:
   By 2025, SEO will no longer be a field where you can succeed without solid data analysis. Be serious about being data-driven and reflect this approach in your interview responses.

8. Highlight Related Skills:
   SEO requires a mix of hard and soft skills. During the interview, mention any additional skills you have that are relevant to SEO—these can give you an edge.

9. Adopt a Problem-Solving Mindset:
   SEO projects often come with significant challenges. Demonstrate that you can handle these problems effectively. If the interviewer presents a scenario you haven’t encountered before, offer the most logical solution you can think of and explain your approach. Emphasize that your method involves reviewing available data and testing multiple hypotheses.

General Tips

1. Stay Calm and Confident:
   Above all, you need to stay calm and show up with confidence. Many times, as an interviewer, I’ve seen candidates with strong technical knowledge underperform simply due to anxiety or low confidence.

2. Prepare for the Interview Setting:

   • For in-person interviews: Plan your travel so you arrive on time. Aim to be there at least 15 minutes early to familiarize yourself with the company environment.

   • For online interviews: Choose a quiet and suitable space. Test your internet connection and ensure everything is set up properly. Avoid joining interviews from noisy places, cars, or public areas—this sends the message that you’re not taking the interview seriously.

3. Be Honest with the Interviewer:
   If you don’t know the answer to a question, don’t waste time with vague or false responses. Instead, clearly state that you haven’t encountered that specific topic yet but emphasize your growth mindset—you’re willing and capable of learning it quickly.

4. Be a Good Listener:
   Active listening is one of your most important skills. Focus on understanding the exact question being asked. If you don’t understand the question, don’t rush to answer. Politely ask the interviewer to repeat or clarify the question.

5. Research the Company:
   The more familiar you are with the company, its business goals, products or services, and market position, the better you can conduct yourself during the interview.

Final Note

Remember, SEO is one of the most dynamic and fast-changing areas of digital marketing. Pay attention to details, stay updated, analyze case studies, and never make decisions without data. By doing this, you’ll not only grow as an SEO professional but also set yourself apart in interviews.

Understanding SEO: The Basics

SEO involves optimizing your website to rank higher on search engine results pages (SERPs). Higher rankings lead to increased visibility, which can drive more traffic to your site. SEO is a long-term strategy that requires consistent effort, but the payoff can be substantial in terms of organic growth.

Why SEO Matters for Startups

1. Cost-Effective Marketing: Unlike paid advertising, which requires ongoing investment, SEO can provide sustained organic traffic with relatively low ongoing costs.

2. Building Credibility: High search rankings can enhance your brand's credibility. Users tend to trust websites that appear at the top of search results.

3. Competitive Advantage: Many startups neglect SEO, focusing instead on paid ads or social media. Investing in SEO can give you a competitive edge in your industry.

Key SEO Strategies for Startups

1. Keyword Research

   Identifying the right keywords is the foundation of any successful SEO strategy. Use tools like Google Keyword Planner, Ahrefs, or SEMrush to find relevant keywords with high search volume and low competition. Focus on long-tail keywords that are more specific and less competitive.

2. Quality Content Creation

   Content is king in SEO. Create high-quality, valuable content that addresses the needs and questions of your target audience. Blog posts, how-to guides, infographics, and videos can all help attract and engage visitors. Ensure your content is original, well-researched, and optimized with relevant keywords.

3. On-Page SEO

   On-page SEO involves optimizing individual pages on your website. Key elements include:

   • Title Tags: Ensure each page has a unique, keyword-rich title tag.

   • Meta Descriptions: Write compelling meta descriptions that encourage users to click through to your site.

   • Header Tags: Use H1, H2, and H3 tags to structure your content and include keywords.

   • URL Structure: Use clean, descriptive URLs that include keywords.

   • Internal Linking: Link to other relevant pages on your site to keep users engaged and help search engines understand your site structure.

4. Technical SEO

   Technical SEO focuses on the backend of your site to ensure it is crawlable and indexable by search engines. Key aspects include:

   • Site Speed: Ensure your website loads quickly. Use tools like Google PageSpeed Insights to identify and fix speed issues.

   • Mobile-Friendliness: Make sure your site is optimized for mobile devices. Google uses mobile-first indexing, meaning it primarily uses the mobile version of your site for ranking.

   • Sitemap: Submit a sitemap to Google Search Console to help search engines discover your pages.

   • Robots.txt: Ensure your robots.txt file is correctly configured to guide search engines on which pages to crawl.

5. Off-Page SEO

   Off-page SEO involves activities outside your website that can improve your search rankings. Key strategies include:

   • Backlink Building: Acquire high-quality backlinks from reputable sites. Guest blogging, partnerships, and creating shareable content can help attract backlinks.

   • Social Media Engagement: Active social media profiles can drive traffic to your site and increase your brand's visibility.

   • Local SEO: If your startup has a physical presence, optimize for local search by claiming your Google My Business listing and encouraging customer reviews.

6. Analytics and Continuous Improvement

   SEO is an ongoing process. Use tools like Google Analytics and Google Search Console to monitor your traffic, track keyword rankings, and identify areas for improvement. Regularly update your content and SEO strategies based on performance data.

Common SEO Mistakes to Avoid

1. Keyword Stuffing: Overloading your content with keywords can lead to penalties from search engines. Focus on natural, meaningful use of keywords.

2. Duplicate Content: Ensure all content on your site is unique. Duplicate content can confuse search engines and harm your rankings.

3. Ignoring User Experience: A well-optimized site should also provide a great user experience. Ensure your site is easy to navigate and user-friendly.

Conclusion

SEO is a powerful tool for startups looking to build their online presence and attract organic traffic. By understanding the basics, implementing key strategies, and avoiding common pitfalls, you can set your startup on the path to SEO success. Remember, SEO is a marathon, not a sprint. Consistent effort and continuous improvement are key to achieving and maintaining high search rankings.

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