SEO has always been a career built around change.
Algorithm updates, mobile-first indexing, featured snippets, Core Web Vitals, machine learning and changing user behaviour have all forced SEO professionals to adapt.
Now, AI-powered search is creating another significant shift.
Google's AI Overviews and AI Mode can answer increasingly complex questions directly within search results, drawing information from multiple sources and providing links for users who want to explore further. Google has also made it clear that traditional SEO best practices remain relevant to appearing within these experiences.
For SEO professionals, that doesn't mean the end of SEO.
It means the job is evolving.
Employers are likely to place greater value on professionals who can understand how traditional search, AI-generated answers, content quality, technical SEO, brand authority and commercial performance fit together.
So, which skills are becoming particularly valuable?
Strong SEO Fundamentals Aren't Going Anywhere
With so much discussion around AI search, it can be tempting to assume that traditional SEO knowledge is becoming obsolete.
It isn't.
Google says the same foundational SEO practices continue to apply to AI Overviews and AI Mode. Pages still need to be crawlable, indexable and eligible to appear in Google Search before they can be surfaced as supporting links within Google's generative AI features.
That means employers will continue looking for candidates who understand:
- Crawling and indexation
- Site architecture
- Internal linking
- JavaScript SEO
- Canonicalisation
- Structured data
- Page experience
- Content optimisation
- Search intent
- Technical auditing
AI may change how search results are presented, but websites still need strong technical foundations.
The difference is that employers may increasingly expect SEO professionals to understand how those foundations support visibility across multiple search experiences rather than simply ten traditional blue links.
Understanding Search Intent Will Become Even More Important
Keyword research used to be relatively straightforward.
Find the keywords.
Assess search volume and competition.
Create or optimise pages targeting those terms.
That approach has already been changing, and AI-powered search accelerates the shift.
Google's AI features can use a process known as "query fan-out", where multiple related searches are conducted across different subtopics and data sources to help answer a user's broader question.
For SEO professionals, this means understanding the intention behind a search may become more valuable than focusing narrowly on an individual keyword.
Employers will want people who can ask:
What is the user actually trying to accomplish?
What questions might they ask next?
What information would help them make a decision?
What related topics are necessary to answer the question properly?
Which part of the customer journey does this search represent?
Strong SEOs will increasingly think in terms of topics, journeys, problems and intent rather than isolated keyword lists.
Content Strategy Will Require More Originality
AI can produce basic informational content extremely quickly.
That changes the value of generic content.
If hundreds of businesses can use AI to produce another article explaining "What is SEO?" within minutes, simply publishing more content is unlikely to provide much competitive advantage.
Google's own guidance around generative AI search emphasises the importance of valuable, unique and non-commodity content.
That creates an opportunity for SEO professionals with genuine editorial and content strategy skills.
Employers may increasingly value people who know how to develop content involving:
- Original research
- First-hand experience
- Expert commentary
- Proprietary data
- Case studies
- Customer insights
- Unique examples
- Strong opinions backed by evidence
- Useful tools and resources
- Images and video
The ability to generate 100 articles using AI won't necessarily distinguish an SEO candidate.
Knowing which ten articles are genuinely worth creating might.
AI Literacy Will Become an Expected SEO Skill
SEO professionals don't necessarily need to become machine-learning engineers.
But understanding how AI systems affect search will become increasingly useful.
Candidates should be comfortable discussing concepts such as:
- AI Overviews
- AI Mode
- Generative search
- Retrieval-augmented generation
- Query fan-out
- Large language models
- AI-assisted content workflows
- Entity relationships
- Citation and source visibility
- AI search measurement
You don't need to pretend you know exactly how every AI system works.
Nobody outside those organisations has complete visibility into their systems.
What employers will value is the ability to understand the technology well enough to make sensible strategic decisions.
That also means being able to separate credible developments from industry hype.
Knowing How to Use AI Will Matter More Than Simply Knowing About It
There's a difference between understanding AI and actually using it effectively.
AI tools can already help SEO professionals accelerate parts of their workflow.
For example, they can assist with:
- Keyword clustering
- Content research
- Brief creation
- Data analysis
- Regex generation
- Schema drafting
- Python and SQL assistance
- Content gap analysis
- Competitor research
- Internal linking ideas
- Reporting
- Automation
The valuable skill isn't simply being able to open an AI tool and type a prompt.
It's knowing where AI can save time, where human judgement is required and where AI-generated output needs verification.
An SEO professional who can use AI to complete routine work faster while spending more time on strategy, analysis and experimentation could become considerably more valuable to an employer.
Data Analysis Will Become a Bigger Differentiator
As search experiences become more complex, SEO reporting will need to evolve too.
Rankings and organic sessions won't disappear, but they may tell less of the story on their own.
Google has already introduced dedicated Search Console reporting for visibility within generative AI features to a subset of websites, including impressions from experiences such as AI Overviews and AI Mode.
SEO professionals will therefore need to become comfortable analysing a broader range of signals.
That could include:
- Search visibility
- AI feature visibility
- Organic conversions
- Revenue
- Leads
- Brand demand
- Assisted conversions
- Engagement
- Non-brand visibility
- Search journeys
The ability to look at messy data and explain what it actually means will become increasingly valuable.
Employers don't just need someone who can export a Search Console report.
They need someone who can turn the information inside it into decisions.
Commercial Awareness Will Separate Strong Candidates
One of the biggest opportunities for SEO professionals in an AI-driven search environment is becoming more commercially focused.
Businesses aren't investing in SEO because they want rankings.
They're investing because they want customers.
As traditional search metrics become more complicated, employers may care even more about whether candidates can connect SEO activity to business outcomes.
That means understanding metrics such as:
- Revenue
- Conversion rate
- Customer acquisition cost
- Lead quality
- Lifetime value
- Return on investment
- Cost per acquisition
- Marketing efficiency
Imagine an SEO Manager explaining:
"Organic traffic fell slightly because more informational queries were being answered directly within search results, but organic revenue increased because we shifted our strategy towards high-intent commercial searches."
That's a far more useful business insight than simply reporting that traffic declined.
Brand and Authority Will Matter More
SEO and brand marketing have been moving closer together for years.
AI-powered search could accelerate that relationship.
If search engines are trying to identify reliable sources that provide genuinely useful information, businesses need more than technically optimised pages.
They need reasons to be trusted.
SEO professionals may therefore find themselves working more closely with:
- Digital PR
- Brand teams
- Subject-matter experts
- Journalists
- Social teams
- Content creators
- Influencers
- Product teams
Skills such as digital PR, expert-led content, reputation building and authority development could become increasingly valuable within SEO roles.
The boundaries between SEO, PR and brand marketing may continue to blur.
Technical SEO Could Become Even More Valuable
AI search doesn't eliminate technical SEO.
Google explicitly states that pages need to meet its technical Search requirements to be eligible as supporting links in AI Overviews and AI Mode.
Search engines still need to discover, crawl, understand and index content.
Technical SEO professionals who understand complex websites will therefore remain valuable.
Employers may particularly value experience with:
- JavaScript frameworks
- Large ecommerce websites
- International SEO
- Log file analysis
- Crawl management
- Site migrations
- Structured data
- Rendering
- Indexation
- Automation
As websites themselves become more technically complicated, people who can diagnose difficult problems will remain difficult to replace.
Critical Thinking Will Become a Core SEO Skill
AI can produce answers extremely quickly.
That doesn't mean those answers are always correct.
SEO professionals increasingly need to evaluate information rather than simply generate it.
If an AI tool recommends changing hundreds of title tags, should you implement them?
If a platform claims it can guarantee visibility in AI Overviews, should you believe it?
If an AI-generated article contains statistics, have they been verified?
If an SEO tool identifies an "AI optimisation score", does that metric actually mean anything?
Google itself advises businesses to think critically about third-party tools and services making claims around AEO or GEO.
Employers will value candidates who can question recommendations, verify evidence and make decisions based on data rather than blindly following tools.
Automation Skills Will Become More Useful
You don't necessarily need to become a developer to have a successful SEO career.
But some technical automation skills can give you a considerable advantage.
Even basic knowledge of tools and languages such as:
- Python
- SQL
- APIs
- Regex
- Google Apps Script
- Looker Studio
- Spreadsheet automation
can help you analyse larger datasets and automate repetitive work.
AI coding assistants are also lowering the barrier to these skills.
An SEO professional who previously couldn't write Python may now be able to build simple scripts with AI assistance.
The important skill becomes knowing what you want the automation to accomplish and being able to verify that the output is correct.
Editorial Judgement Will Become More Valuable, Not Less
When producing content becomes easier, deciding what deserves to be published becomes harder.
This makes editorial judgement particularly important.
SEO professionals will need to recognise the difference between content that technically targets a keyword and content that genuinely deserves to exist.
Before publishing something, strong SEO professionals will ask:
Does this add anything new?
Would somebody genuinely find this useful?
Does our business have expertise on this subject?
Can we provide evidence or experience competitors can't?
Is there a better format than another blog article?
Could this be a calculator, tool, video, comparison, dataset or interactive resource instead?
AI can help produce content.
Human judgement determines whether that content is worth producing.
Communication and Stakeholder Management Will Still Matter
SEO is rarely controlled entirely by the SEO team.
You may need developers to implement technical changes.
Writers to create content.
PR teams to build authority.
Product teams to change templates.
Senior leadership to approve budgets.
AI doesn't remove those relationships.
If anything, SEO professionals may need to communicate more effectively as the discipline becomes harder for non-specialists to understand.
Employers will value candidates who can explain complicated topics without unnecessary jargon.
Being able to explain why AI Overviews matter to a CEO, developer, content writer and sales director in four different ways is a valuable skill.
Experimentation Will Become Part of the Job
There are still plenty of unanswered questions about how AI-powered search will affect different websites, industries and search behaviours.
That makes experimentation essential.
Strong SEO teams won't rely entirely on predictions from LinkedIn posts or industry commentary.
They'll test.
For example:
- Which pages are appearing in AI-generated answers?
- What types of sources are being cited?
- Which content formats perform well?
- How does AI visibility relate to traditional rankings?
- Which queries continue generating clicks?
- Which queries are becoming increasingly zero-click?
- What happens when content is updated or expanded?
- Which strategies actually contribute to conversions?
Employers will value SEO professionals who are comfortable forming hypotheses, running tests and changing direction when the evidence says they should.
Don't Rush to Rename Yourself a GEO Expert
You've probably already encountered terms such as GEO — Generative Engine Optimisation — and AEO — Answer Engine Optimisation.
These concepts can be useful ways of discussing changes in search behaviour.
But be careful about treating them as completely separate disciplines from SEO.
Google's current guidance is particularly interesting here: from its perspective, optimising for generative AI search is still SEO.
There are no secret AI Overview meta tags or special schema types that guarantee inclusion.
That means employers may be more impressed by candidates with strong SEO fundamentals who understand emerging search experiences than somebody who simply adds "GEO Expert" to their LinkedIn headline.
Learn the new landscape.
Just don't abandon the fundamentals that still underpin it.
What Should SEO Professionals Learn Now?
If you're developing your SEO career, you don't need to completely reinvent your skill set.
Instead, expand it.
Focus on becoming stronger across several areas:
SEO fundamentals
Understand technical SEO, content, links, search intent and site architecture properly.
AI literacy
Learn how AI-powered search experiences work and keep up with changes to platforms such as Google.
AI-assisted workflows
Learn how to use AI responsibly to improve research, analysis, automation and productivity.
Data analysis
Become comfortable interpreting Search Console, analytics platforms and business data.
Commercial thinking
Understand how SEO contributes to leads, revenue and customer acquisition.
Content strategy
Learn how to identify content opportunities that offer genuine value rather than simply targeting keywords.
Technical skills
Develop basic knowledge of automation, APIs, Python, SQL or other skills relevant to your role.
Communication
Learn how to explain SEO recommendations clearly to people who aren't SEO specialists.
You don't need to become an expert in every area.
But developing a combination of technical knowledge, commercial awareness and strategic judgement can make you significantly harder to replace.
The Bottom Line
AI Overviews aren't making SEO careers irrelevant.
They're changing what good SEO looks like.
The professionals most likely to succeed won't necessarily be those who know the most ranking tricks or can produce the largest number of optimised articles.
They'll be the people who can understand users, analyse data, solve technical problems, create genuinely useful content, use AI intelligently and connect search visibility to commercial outcomes.
SEO has never really been about rankings alone.
It's about helping businesses become discoverable when potential customers are looking for information, products, services or solutions.
The way people discover those things is changing.
The job of the SEO professional is to change with it.
If you're looking for your next opportunity in SEO, explore the latest roles on SEO Jobs UK and find a position where you can put those evolving skills to work.