Every few years, something supposedly kills SEO.
Social media was going to kill it. Voice search was going to kill it. Zero-click results were going to kill it. Now AI is supposed to kill it.
Instead, something more interesting is happening:
Search is getting bigger.
People still search Google. But they also ask ChatGPT. They use Gemini. They see AI Overviews. They use Google AI Mode. They ask increasingly specific conversational questions rather than typing two-word keywords.
The result isn't the death of search optimization.
It is the expansion of search optimization into what is increasingly called AEO — Answer Engine Optimization — and GEO, or Generative Engine Optimization.
And in May 2026, Google made an important point very clear: the fundamentals haven't disappeared.
Google's new guidance for generative AI search specifically emphasizes valuable, unique, non-commodity content and says established SEO best practices remain foundational to visibility in generative AI features.
What is AEO?
Answer Engine Optimization is the practice of making a brand's information easy for search engines and AI systems to understand, retrieve and use when answering questions.
Traditional SEO commonly asks: How do we rank for "San Diego marketing agency"?
AEO adds questions such as:
- What are the best marketing agencies for a growing San Diego company?
- Should a $20 million company hire a fractional CMO or an agency?
- How much should a company spend on marketing?
- What's the difference between EVA foam and synthetic teak boat flooring?
Those are not simply keywords.
They are questions requiring context, comparison, evidence and synthesis.
That changes how content should be designed.
Don't throw away SEO fundamentals
Google's official guidance is refreshingly straightforward.
There is no special "AI schema" required for Google AI Overviews or AI Mode. There is no magic machine-readable file required. Pages still need to be crawlable and indexed. Internal linking still matters. Page experience still matters. Important information still needs to exist in textual form. Structured data should accurately reflect visible content.
In other words: technical SEO is still technical SEO.
But the content layer is evolving.
1. Build content around questions, not just keywords
Keyword research remains useful because it reveals demand.
But modern content strategy should go deeper into the questions behind those keywords.
Instead of publishing one thin page for "Fractional CMO," build a useful information ecosystem around questions such as:
- What does a fractional CMO do?
- How much does a fractional CMO cost?
- Fractional CMO vs. marketing director: what's the difference?
- Fractional CMO vs. agency: which should I hire?
- When does a company need a full-time CMO?
- Can a fractional CMO manage an agency?
- What should the first 90 days look like?
Now you've created something much more useful to both humans and retrieval systems.
2. Answer the question clearly
One mistake in old-school SEO writing was delaying the answer.
A 2,000-word article titled "How Much Does X Cost?" might spend 800 words explaining the history of X before discussing cost.
That's frustrating for users. It's also unnecessary.
Strong AEO content should frequently provide a concise direct answer, then provide supporting detail.
For example:
How much does a fractional CMO cost?
Most fractional CMO engagements are priced as monthly retainers based on the executive's experience, company complexity and expected level of involvement. Costs vary widely, but the model is generally designed to give companies access to senior marketing leadership without the salary, bonus, benefits and equity associated with a full-time CMO.
Then expand.
This structure works for readers scanning a page and systems attempting to identify the most useful answer.
3. Become a source, not a summarizer
This may be the biggest strategic opportunity.
AI can summarize commodity information almost instantly.
That reduces the value of companies publishing another generic article composed entirely of things that already exist elsewhere.
Google has repeatedly emphasized original, people-first information and first-hand expertise.
That means companies should produce material AI cannot easily manufacture without them:
- Original research
- First-party data
- Case studies
- Customer insights
- Expert opinions
- Proprietary frameworks
- Benchmarks
- Real project experience
- Specific examples
- Original visuals
- Contrarian or differentiated perspectives
The internet doesn't need another article called "Five Benefits of Digital Marketing."
It may need an agency showing exactly what changed after reallocating a client's budget between search, paid social and conversion optimization.
Specificity creates authority.
4. Create topic authority instead of isolated posts
One article rarely establishes deep expertise.
AEO and SEO should increasingly be organized around topic clusters.
A marketing agency might create a core resource on fractional marketing leadership supported by articles covering fractional CMO cost, responsibilities, vs. agency, vs. in-house CMO, marketing team structure, first 90 days of a CMO engagement, marketing budgets and growth-stage marketing infrastructure.
Those articles should link intelligently to one another and to the relevant commercial service page.
That creates a much stronger entity and subject relationship than randomly publishing unrelated marketing news.
5. Structure information so machines and humans can understand it
Good information architecture helps everyone.
Use:
- Descriptive H1 and H2 headings
- Concise introductory answers
- Short, readable paragraphs
- Tables where comparisons make sense
- Numbered processes
- Definitions
- FAQs
- Relevant internal links
- Descriptive image alt text
- Appropriate structured data
Schema should accurately describe what's actually on the page. It is not a cheat code.
Google explicitly says there is no separate special schema required to appear in its AI features.
6. Think beyond text
AI search is increasingly multimodal.
Google recommends supporting textual content with useful images and video where appropriate — original diagrams, data visualizations, product photography, video demonstrations, executive videos, comparison graphics and process illustrations.
This also creates reusable assets for social, sales and paid media.
Once again, SEO stops functioning as an isolated department and becomes part of a larger content strategy.
AEO isn't about tricking an AI model
There will inevitably be a parade of new tricks promising guaranteed inclusion in ChatGPT, Gemini, AI Overviews or the next answer engine.
Be skeptical.
Different AI products use different retrieval methods, indexes, models and data sources. There is no universal tag that forces an AI system to recommend a brand.
The durable strategy is much less exciting — and much more valuable:
Be technically accessible. Be authoritative. Be specific. Answer real questions. Publish information worth citing. Establish your expertise consistently across the web.
That was good SEO before generative AI.
It's even better strategy now.
Search is becoming a reputation system
This is perhaps the largest conceptual change.
Winning traditional SEO could sometimes be approached as winning a ranking.
AI search raises a broader objective: Does the information ecosystem understand who you are, what you do, what you're an authority on and when you're a credible answer?
That requires the website. But it can also require media coverage, customer reviews, social profiles, industry directories, thought leadership, video, third-party mentions, expert commentary and consistent business information.
SEO, PR, content and brand authority are beginning to overlap.
The organizations that understand that early will have a substantial advantage.
Frequently Asked Questions
What is AEO?
AEO stands for Answer Engine Optimization. It is the practice of structuring authoritative, useful information so search engines and AI-powered answer systems can understand and surface it in response to user questions.
Is AEO replacing SEO?
No. AEO expands SEO. Google's own guidance says traditional SEO fundamentals remain relevant to AI Overviews and AI Mode.
Do I need special schema for AI search?
Google says no additional AI-specific structured data is required for AI Overviews or AI Mode. Existing structured data should accurately reflect visible page content.
How do I optimize my website for ChatGPT and AI search?
There is no guaranteed optimization method across every AI platform. Focus on technically accessible pages, authoritative subject coverage, original expertise, concise answers, reliable facts, strong brand/entity signals and credible third-party references.