Is SEO really dying, or is AI search making it more important than ever? If you have been hearing conflicting opinions about whether to invest in search engine optimization or pivot entirely to answer engine optimization, you are not alone. Recently I joined Vikrant Yadav on the Marketing That Works podcast, where we broke down the reality behind all the buzzwords. In this session, the focus was on the confusion marketers face when navigating traditional SEO versus AI search optimization. Below, we turn the main insights from that conversation into a clear, practical guide you can apply immediately.
Watch the video: Is SEO dying, or is AI search making SEO even more important?
Why SEO is not dead and why that matters for your strategy
The narrative that SEO is dying has circulated for at least 10 years. Every time a new platform or algorithm change emerges, someone declares SEO finished. The reality is different.
Search engine optimization is a discipline that studies how to be relevant on search. And search exists everywhere. Google, Bing, Amazon, Airbnb, LinkedIn, Instagram. Any platform with a search bar has an algorithm you can optimize for.
The data proves traditional SEO still drives AI visibility
Kevin Indig recently shared research showing that a page ranking in position one has a 58% chance of being cited by an LLM. A page in position 10 drops to 14%.
This means if you want to show up in ChatGPT, Perplexity, or Claude responses, you still need strong traditional SEO foundations.
Brittany Muller, formerly of Moz, put it simply: every URL you see cited in an LLM comes from a search engine API. If you are not on search, you will not appear in AI answers.
The compression problem in AI search
Traditional SEO gives you 99 potential positions across 10 pages of results. AI search gives you five. Maybe fewer.
You are either in those five citations or you do not exist. There is no “optimizing from page four to page two.” This compressed game makes SEO fundamentals more critical, not less.
Technical SEO fundamentals for AI search visibility
Whether you are optimizing for Google or LLMs, the technical basics remain essential. But AI search adds specific requirements.
Crawlability is non-negotiable
- Your website must be crawlable with a proper sitemap
- HTML structure matters more than ever because LLMs cannot read JavaScript
- Websites built on React or heavy JavaScript frameworks often appear blank to AI crawlers
- Always provide HTML fallbacks for dynamic content
If machines cannot read your site, nothing else in your SEO strategy matters.
Semantic structure requirements
LLMs prefer structured, scannable content over narrative prose. Structure your pages with:
- Clear title tags (the only factor LLMs consider when making their citation shortlist)
- Proper heading hierarchy (H1, H2, H3)
- Short punchy paragraphs
- Bullet points and numbered lists
- Comparison tables
- FAQ sections with question-and-answer format
- Schema markup to help robots understand context
Think study notes, not textbooks. Summaries, not novels.
Domain structure best practices
Keep everything on your main domain. Avoid fragmenting authority across subdomains like blog.yourdomain.com or app.yourdomain.com. This creates confusion for both search engines and LLMs.
Content optimization for LLM citations
The way you write content directly affects whether AI systems will cite you.
Write like an LLM responds
When you ask ChatGPT a question, it does not write a book. It provides:
- Direct answers
- Numbered lists
- Comparison tables
- Brief explanations
Your content should mirror this format. FAQs are particularly powerful because LLMs favor question-and-answer structures.
Definition-first approach
Start sections with clear definitions. LLMs extract these for direct citations.
Example structure:
- Definition sentence
- Supporting bullet points
- Evidence or data
- Brief elaboration
Building authority for AI search
Machines need to trust you before they cite you. Authority building for LLM visibility follows a specific pattern.
The party analogy
If you tell someone at a party that you are the best at SEO, it has no value. If someone else tells them, that is authority. If five people tell them, that becomes truth.
LLMs work similarly. They look for consistent messaging across multiple trusted sources.
Reinforcement strategy
Your core message must appear:
- On your own website
- In third-party publications
- In industry directories
- Across social platforms
- In podcast appearances and interviews
Consistency across touchpoints signals trustworthiness to AI systems.
AI search tracking tools: worth the investment?
The market is flooded with expensive AI search tracking tools. Are they necessary?
Current market options
| Tool | Price Range | Strength |
|---|---|---|
| Profound | $300-400/month enterprise | Market leader, comprehensive tracking |
| AirOps | ~$200/month | Content production plus tracking |
| Data for SEO | $100/month plus usage | API-based, highly customizable |
The case for tracking
You cannot improve what you cannot measure. Even imperfect tracking beats no tracking.
The argument: “It is better to track the wrong data than no data at all.”
Budget-friendly alternatives
Data for SEO offers an API-based solution that costs significantly less than enterprise tools. You can build custom dashboards, connect to ChatGPT via custom GPTs, or use their MCP for Claude integration.
For teams comfortable with basic coding or no-code tools, this approach provides flexibility at a fraction of the cost.
Tool cautions
Content production features in tools like AirOps can burn through credits quickly. One experience shared in the podcast: $200 spent on just four articles due to token consumption for features like key takeaways and FAQs.
Always test tools thoroughly before committing to enterprise contracts.
Programmatic SEO in the AI era
Programmatic SEO has existed as long as SEO itself. Creating pages at scale for location-based or attribute-based queries remains effective, but execution matters.
When programmatic works
- You have unique data to customize each page
- You can provide genuinely different information per variation
- Query demand exists for the variations
Cryptocurrency exchanges execute this well. Each coin page includes live price data, charts, historical comparisons, and predictions. The data makes each page valuable.
When programmatic fails
Lazy programmatic SEO creates duplicate content problems. If “plumber in Stratford” and “plumber in Leyton” contain identical content with only location swapped, Google will crawl but not index.
Search Console will show “crawled but not indexed” errors. Your pages become digital waste.
Good practitioners differentiate each page with unique, valuable data. Bad practitioners template everything and hope for the best.
The future: agents and voice search
The conversation around AI agents changes the SEO equation again.
Agent-driven commerce
AI agents will increasingly handle purchasing decisions. When someone tells their agent “I need bananas,” the agent searches for options based on an algorithm.
If you have mastered that algorithm, the agent buys from you. This is SEO applied to agent discovery.
Voice over typing
People will verbalize queries more and type less. But the underlying mechanic remains search optimization. Whether someone types a query or speaks it, the algorithm determines what surfaces.
The practitioners who understand search optimization principles will adapt to whatever interface emerges.
Frequently Asked Questions
Is SEO dying because of AI search tools like ChatGPT?
SEO is not dying. AI search tools rely on search engine APIs to find content to cite. If your pages do not rank in traditional search, they will not appear in AI responses. SEO has been declared dead approximately 25 times over the past decade. Each time, it has proven more essential. The discipline continues because wherever there is a search bar, there is an algorithm to optimize for.
Quotable insight: Pages ranking in position one have a 58% chance of being cited by LLMs, dropping to 14% for position 10.
What is the difference between SEO and AEO?
AEO (answer engine optimization) is a subset of SEO focused specifically on appearing in AI-generated answers. Traditional SEO optimizes for search engine rankings. AEO optimizes for LLM citations. The fundamentals overlap significantly, including technical structure, semantic markup, and authority building. AEO adds emphasis on FAQ formats, definition structures, and entity consistency across platforms.
Quotable insight: Everything is search engine optimization. AEO is simply SEO applied to AI answer engines.
Do I need expensive tools to track AI search visibility?
Expensive tools are not mandatory. Data for SEO offers API access for around $100 per month plus usage, far cheaper than enterprise tools charging $300-400 monthly. You can build custom dashboards using Google Data Studio or connect APIs to custom GPTs. The key is tracking something rather than nothing.
Quotable insight: It is better to track imperfect data than no data at all.
How do I make my content appear in ChatGPT responses?
Structure content the way LLMs respond. Use short paragraphs, bullet points, numbered lists, comparison tables, and FAQ sections. Start with clear definitions. Ensure your pages are technically crawlable without JavaScript dependencies. Build authority through consistent messaging across multiple trusted sources. Traditional SEO rankings remain the strongest predictor of LLM citations.
Quotable insight: LLMs prefer summaries and bullet points over narrative prose. Write like study notes, not textbooks.
Should marketers still learn SEO in 2025 and beyond?
SEO has never been more valuable to learn. AI agents will handle more purchasing and research decisions. Those agents need to find you through search algorithms. Understanding SEO principles positions you to adapt to any interface, whether typed queries, voice commands, or autonomous agents. The field is “back in fashion” and commands higher rates than ever.
Quotable insight: There is no scenario where people will do more work themselves. We will outsource more decisions to AI, and AI needs SEO to find you.
Conclusion
SEO is not dying. The game is compressing.
Instead of 99 ranking positions, you now compete for five citation slots. The fundamentals of technical SEO, content structure, and authority building matter more than ever. Track your visibility even if the tools are imperfect. Write content that mirrors how LLMs respond. Build trust through consistent messaging everywhere your brand appears.
The marketers who understand these principles will thrive whether the interface is a search bar, a voice assistant, or an autonomous agent.
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