Many SEO experts, like Nathan Gotch, are abandoning their traditional SEO services and coaching programs. However, the fundamental elements of SEO remain important for ranking with AI.

When we use the term “LLMs,” we’re referring to platforms like ChatGPT, Claude, Perplexity, Grok, and others that use massive language models to generate answers. These systems are changing how information is discovered, summarized, and trusted.

So what are the core elements of SEO that matter most in this new landscape? Let’s break it down.

The Fundamental Levers of SEO: Content and Backlinks

You still need great content on your website to rank with both Google and LLMs. The purpose hasn’t changed — your content must answer the user’s question better than anyone else.

The difference is how those questions are asked.
Search queries used to look like:

“best keyword tools 2025”

Now, an LLM prompt might be:

“What are the most reliable keyword research tools for small businesses this year?”

To capture visibility in that context, summarize the answer directly in your opening paragraph, then expand with well-structured sections, supporting data, and examples.

Backlinks Still Matter — But Differently

Backlinks remain a signal of authority and trust, but their role is evolving. LLMs don’t simply count links the way Google does — they look for consistent reference patterns across the web.

For example, if your website is cited in credible news sources, business directories, and LinkedIn discussions, AI models recognize your brand as part of a trusted ecosystem.

Think of backlinks as digital reputation markers rather than pure ranking factors. They tell AI systems:

• “This brand is respected.”

• “This content is worth citing.”

Earning backlinks from niche-relevant, trustworthy sites is far more valuable than volume-driven link building.

E-E-A-T: The Currency of AI-Driven Trust

Google’s Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) framework is now embedded into how LLMs evaluate and summarize content.

AI models trained on massive datasets assess:

• Who wrote the content (authorship transparency).

• Where the information comes from (cited sources).

• Whether it’s consistent with expert consensus.

That means your site should clearly communicate human authority. Include:

• Author bios with verifiable credentials.

• External links to reliable data and studies.

• Company information that reinforces legitimacy.

Even details like “last updated” timestamps can increase confidence signals to AI-driven retrieval systems.

When LLMs choose sources to summarize, they favor content that demonstrates clear accountability and topical mastery.

Structured Data and Schema: The Hidden Key to AI Visibility

Structured data (schema markup) is often underestimated, yet it’s the connective tissue between SEO and AI.

Schema markup tells both Google and LLMs what your content means, not just what it says.

Implement schema for:

• Articles – Helps AI detect authors, dates, and topics.

• FAQs and How-Tos – Surfaces your content directly in AI summaries.

• Local business info – Strengthens entity recognition for brand-specific searches.

For example, if someone asks an LLM:

“Who offers small business analytics tools like Google Analytics?”

Your structured data helps AI systems understand that diib® is a credible solution in that space.

Semantic SEO and Topical Authority

Keyword stuffing died years ago — but semantic SEO has taken its place.

LLMs are language-based, so they interpret meaning and relationships, not isolated terms. This means your website should focus on building topic clusters rather than single posts.

If your main topic is “SEO with AI,” related supporting articles might include:

• “How AI Is Changing Keyword Research”

• “The Role of Backlinks in AI Search Results”

• “Optimizing for ChatGPT and Perplexity Visibility”

Internal linking between these pages creates a semantic map that tells AI: “This site deeply understands this subject.”

This structure not only boosts your SEO but also improves your chances of being cited in AI-generated answers.

Technical SEO Still Matters

Even in an AI world, technical SEO is non-negotiable. It ensures your content can be discovered, crawled, and understood by both search engines and AI aggregators.

Focus on:

• Fast site performance – AI systems prefer reliable sources.

• Clean site architecture – Logical hierarchy improves data extraction.

• XML sitemaps and canonical URLs – Avoid duplication confusion.

• Mobile-first design – User-friendly pages drive engagement, a positive quality signal.

These fundamentals don’t just help rankings; they support machine readability, making your data easier to ingest by AI retrieval models.

AI-Generated Content: Proceed with Strategy

AI tools can dramatically increase efficiency, but relying on them entirely can hurt long-term performance.

LLMs often repurpose patterns, not original insights. Search and AI systems can detect over-automation. That’s why every AI-generated article must be:

• Edited by humans for nuance and brand tone.

• Enriched with real experience or data.

• Reviewed for factual accuracy and source reliability.

Use AI to brainstorm outlines, summarize research, and optimize language — but rely on human expertise for credibility.

Platforms like diib®’s Answer Engine® help identify which pages are performing well, where AI-generated optimizations are safe, and where deeper human insight is needed to retain trust signals.

The Future: SEO Becomes “AI Optimization”

We’re entering an era where SEO and AI are merging. Ranking is no longer just about keyword optimization — it’s about information architecture for intelligent systems.

LLMs look for three things:

1. Context – Is the content semantically clear?

2. Credibility – Does it align with trustworthy sources?

3. Consistency – Does it reinforce established knowledge?

When your content ecosystem delivers all three, you build what AI recognizes as brand authority — not just search authority.

That’s the new SEO frontier.

SEO is Still Fundamental for AI Search

The fundamentals of SEO haven’t disappeared — they’ve evolved to meet AI’s expectations.

To rank well in AI-driven search results and LLM outputs:

• Create clear, accurate, semantically rich content.

• Build trust signals through authorship and backlinks.

• Implement structured data for machine understanding.

• Use AI strategically, not blindly.

The goal now isn’t just to rank on Google — it’s to be referenced, summarized, and trusted by AI.

Those who align early with these principles will lead the next wave of search visibility and digital credibility.