SEO in the AI Era: How to Rank on Search Engines and LLMs

The search landscape has changed

For over two decades, ranking a website meant one thing: appearing in the top Google results. That reality has not disappeared—ninety percent of searches still happen through traditional search engines—but the remaining ten percent already occurs through language models like ChatGPT, Perplexity, or Claude. That percentage grows every quarter.

What matters is that the principles that make a website visible to Google and the ones that make it citable by an LLM are not contradictory. In fact, they reinforce each other. A well-structured website with clear content and external authority will appear in both traditional search results and AI-generated responses.

Fundamentals that do not change

Alignment between title, heading, and content

The page title, the main heading (H1), and the content must tell the same story. If the title promises one thing and the content delivers another, the user enters and immediately leaves. That bounce signal damages the page’s SEO reputation. For LLMs, this coherence is equally critical: models look for page fragments that directly answer the user’s query, and consistency between title and content facilitates that extraction.

Hierarchical content structure

Good heading hierarchies (H2, H3) are not visual decoration. They are semantic signals that tell search engines and language models how information is organized. An article with clear headings allows both a Google crawler and an LLM to quickly identify the topics covered and extract the relevant section.

Technical performance

A page that weighs more than one megabyte loads slowly, and a slow page loses users before they read the first line. Web Vitals metrics (loading speed, visual stability, interactivity) are direct ranking factors. Technical optimization is not optional; it is the entry requirement.

Bot accessibility

For search crawlers and LLM bots to access content, the website must be crawlable. In applications with client-side rendering, implementing a pre-rendering system (SSR or similar) ensures that bots can read the content users see.

Content strategy for entering a new market

Opening a new market requires creating strategic content that covers different stages of the user’s decision funnel.

Bottom-of-funnel content (BOFU). Pages that answer high purchase-intent searches should be the priority. Competitor comparisons, pricing pages, specific use cases.

Comparisons and alternatives. Searches like “X versus Y” or “alternatives to Z” carry clear decision intent. Creating honest, well-supported comparison content positions the brand as a trustworthy reference.

Guides and tutorials. Content that teaches how to do something related to the product or service generates consistent traffic and builds topical authority. The key is to offer something different from what already exists, such as incorporating proprietary data or documented experiences.

Blog covering frequent searches. A blog that systematically answers the most common questions from the target audience functions as a net that captures long-tail traffic from both search engines and LLMs.

How to position content for LLMs

Language models do not crawl the web the same way Google does. They search for specific fragments that answer particular questions. This requires adjustments in how content is created.

Use tables and lists. LLMs extract structured information more easily. A comparative table or a list with clear points is more likely to be cited than a dense paragraph with the same information.

Answer questions directly. When a website includes a frequently asked questions (FAQ) section that provides clear, concise answers, the likelihood that an LLM will use that response as a source increases.

Publish on platforms that LLMs prioritize. The sources most used by language models include Wikipedia, YouTube, and Reddit. Having a presence on these platforms, whether through original content or brand mentions, amplifies visibility to AI models.

External authority: the signal you cannot build internally

Quality content is necessary but not sufficient. For Google and LLMs to consider a website as a trustworthy source, it needs external authority signals.

Quality backlinks. Links from relevant sites with their own authority remain one of the most powerful ranking signals. It is not about quantity but about relevance and quality.

Publications in niche media and blogs. Publishing articles in media outlets, blogs, and thematic sites related to the brand and market niche generates authority and, as an added benefit, can attract clients and users directly.

Analysis tools. Platforms like Sistrix allow you to see a website’s organic visibility in a given market, making it easier to measure progress and adjust strategy.

Practical application

To implement an SEO strategy that works on both search engines and LLMs:

1. Audit your page coherence. Review that the title, H1, and content of each page tell the same story. Fix the most obvious discrepancies first.

2. Optimize technical performance. Ensure each page weighs less than one megabyte, that Web Vitals metrics are in the green zone, and that bots can access the rendered content.

3. Structure content with clear hierarchies. Use H2 and H3 headings that describe the content of each section. Incorporate tables and lists where the information allows it.

4. Create a frequently asked questions section. Answer the most common questions from your target audience directly and concisely on each relevant page.

5. Build external authority. Identify three to five niche media outlets or blogs where you can publish content and begin building relationships with them.

6. Define your buyer persona precisely. Understand how your ideal customer searches, both on Google and through AI tools, and anticipate those searches with specific content.

Conclusion

SEO in the age of artificial intelligence is not a new discipline. It is the same discipline as always—relevant content, clear structure, external authority—applied to an ecosystem that now includes two types of intermediaries: traditional search engines and language models. The good news is that doing the first well prepares the ground for the second. A website that answers questions clearly, organizes its information with structure, and builds credibility through external sources will be well positioned in both worlds.