Comparison

    The Difference Between SEO and LLM Optimisation: Why Your Old Strategy Won't Work

    RW
    Founder, Fortitude Media
    9 min readPublished

    Learn why SEO and LLM optimisation are fundamentally different. Why your old strategy won't work for AI recommendations, and what you need to change.

    Learn why SEO and LLM optimisation are fundamentally different. Why your old strategy won't work for AI recommendations, and what you need to change.

    If you've invested in SEO, you know the playbook. Keywords in titles. Backlinks from relevant sites. Meta descriptions optimised for click-through rates. Fast page loads. Mobile optimization. Internal linking strategies. You've built an entire practice around making your website attractive to Google's algorithm.

    It worked. For years, it worked. But it's about to stop working as the primary driver of business discovery.

    LLM optimisation operates by completely different rules. The strategies that succeeded in the Google era will actively hurt you in the AI era. Understanding the difference—and shifting your approach—is now critical for business survival.

    The Fundamental Difference: Filtering vs. Reasoning

    Key Insight

    Google is a filter. You ask a question.

    Google is a filter. You ask a question. Google returns millions of results ranked by relevance. You choose which to click. The algorithm's job is to rank pages—to decide which results appear higher.

    LLMs are reasoners. You ask a question. The model thinks through the answer, considers relevant information from its training data, and generates a response. When you ask "Which SaaS tool is best for team communication?" the model doesn't return a list. It evaluates options, weighs characteristics, and recommends specific companies.

    This distinction changes everything about how you should optimise.

    SEO Strategy: Keyword Targeting

    Key Insight

    In SEO, keywords are everything. You identify high-volume, low-competition keywords.

    SEO Strategy: Keyword Targeting — The Difference Between SEO and LLM Optimisation: Why Your Old Strategy Won't Work
    SEO Strategy: Keyword Targeting

    In SEO, keywords are everything. You identify high-volume, low-competition keywords. You build pages around those keywords. You optimise titles, headings, meta descriptions for keyword inclusion. You create content clusters around keyword themes. Your entire strategy is designed to catch the exact words someone types into Google.

    The logic is straightforward: if someone searches "best project management software" and you rank first, they'll find you. If you rank tenth, they won't.

    This works because Google is a filter. The algorithm can quantify keyword relevance. It can match your page to the query. It can rank you objectively.

    Why Keyword Targeting Fails for LLMs

    LLMs don't work this way. They don't match keywords to pages. They reason through answers using broader patterns from their training data.

    Here's the problem: if you've optimised your entire website for the keyword "best AI writing tool," and you've stuffed that phrase into your title, heading, and first 100 words, what the model sees is artificial, keyword-focused content. Modern LLMs are trained to recognize and discount this kind of optimization.

    When Claude, ChatGPT, or Perplexity encounter a website that's clearly optimised for keywords, they interpret it as a signal that the business is trying to game algorithms. That's precisely the opposite of confidence. It suggests the business doesn't have genuine authority—it's just doing SEO tricks.

    Instead, LLMs are looking for genuine expertise. Content that actually helps people. Clear positioning. Real insights. That's the signal of authority. Not keyword targeting.

    Key Insight

    In SEO, backlinks are the currency of authority. The more high-quality sites that link to you, the higher you rank.

    In SEO, backlinks are the currency of authority. The more high-quality sites that link to you, the higher you rank. You build backlinks through outreach, guest posts, directory listings, and press mentions. You track domain authority scores. You aim to get links from the most authoritative domains in your space.

    Google interprets backlinks as votes. The more votes you get from authoritative sources, the more authoritative you are.

    LLMs don't use link structure to evaluate authority in the same way. They don't crawl a link graph. They reason using knowledge from their training data.

    However—and this is critical—LLMs do recognize when a business is mentioned credibly across multiple independent sources. That's different from a backlink. It's not about the technical link structure. It's about whether your business appears genuinely in conversations, reports, publications, and contexts where people discuss solutions in your category.

    A press release mentioning your company in a vendor's news section is a weak signal. A feature article in a respected industry publication is a strong signal. The difference isn't the technical backlink structure—it's whether the mention is genuine, editorial, and placed in meaningful context.

    Many SEO practitioners have invested in low-quality backlink strategies: directory listings, press release networks, reciprocal linking, or paid link schemes. These actively hurt your LLM visibility because they signal manipulation.

    The LLM-friendly version of authority building is genuine PR: features in real publications, analyst reports, case studies from real customers, partnerships with respected brands. It's building actual credibility, not gaming link metrics.

    SEO Strategy: Technical Optimization

    Key Insight

    SEO involves extensive technical work: site speed optimization, XML sitemaps, robots. txt configuration, structured data implementation, mobile responsiveness, canonical tags, and hundreds of other technical signals.

    SEO Strategy: Technical Optimization — The Difference Between SEO and LLM Optimisation: Why Your Old Strategy Won't Work
    SEO Strategy: Technical Optimization

    SEO involves extensive technical work: site speed optimization, XML sitemaps, robots.txt configuration, structured data implementation, mobile responsiveness, canonical tags, and hundreds of other technical signals. The logic is: if your site is technically sound, Google can crawl it better, understand it better, and rank it higher.

    Much of this work is legitimate and important.

    Where Technical SEO Still Matters for LLMs

    LLMs don't crawl websites the way Google does. They don't use site speed as a ranking signal. They don't care about XML sitemaps or robots.txt.

    But they do care about structured data. Schema markup—which explicitly tells systems what information you're sharing—helps LLMs understand your business faster and with higher confidence. If you use Organization schema, your company name, location, description, and contact information are explicit. The model doesn't have to infer it.

    And they do care about information structure. Clear, logical site architecture—organized categories, proper heading hierarchies, related content linked logically—helps LLMs understand your business. Messy, disorganized sites are harder to reason about.

    So some technical SEO still applies. But the emphasis is completely different. You're not optimising for a crawler. You're optimising for reasoning. You want your information clear and structured.

    SEO Strategy: Content Optimization for Click-Through

    Key Insight

    In SEO, meta descriptions are optimised for click-through rate. You want someone to read your snippet in the search results and click.

    In SEO, meta descriptions are optimised for click-through rate. You want someone to read your snippet in the search results and click. So you craft compelling, benefit-driven snippets. You include numbers, power words, and curiosity gaps. "Learn the 7 secrets to..." works better than a literal description.

    Title tags are similarly optimised. You want them to catch attention in the results page, not to actually describe the content. "10 Mind-Blowing Benefits of X" ranks better than "What Is X and How It Works."

    Why CTR Optimization Fails for LLMs

    LLMs don't generate search results that humans click through. They generate answers. The model reads your page to understand your business, but the user never sees your page. They see the AI's generated response.

    This means your meta description and title tag are mostly irrelevant. They're not driving clicks. The model cares about whether your actual content clearly communicates what you do and how it works.

    Misleading titles and clickbait descriptions signal poor quality to an LLM. They suggest you're trying to trick users. When the model reads your page and finds that the title was misleading, that's a trust signal downgrade.

    Instead, clear, accurate, descriptive titles and meta information help LLMs understand at a glance what each page is about. "What Is LLM Optimisation and Why Does It Matter?" is better than "This One Weird SEO Trick Will Shock Your Competitors."

    LLM Optimisation Strategy: Genuine Authority Building

    Key Insight

    Instead of keyword targeting, LLM optimisation focuses on building genuine expertise and authority. You want to be recognized—across multiple sources and contexts—as knowledgeable and trustworthy in your domain.

    Instead of keyword targeting, LLM optimisation focuses on building genuine expertise and authority. You want to be recognized—across multiple sources and contexts—as knowledgeable and trustworthy in your domain.

    This means:

    • Creating expert content. You publish detailed guides, frameworks, methodologies, and research that help people solve real problems. The content isn't about keywords—it's about substance. You're sharing genuine expertise.
    • Earning third-party credibility. You get featured in respected publications. You contribute to industry conversations. Your customers publish case studies. Analysts mention you in reports. You earn recognition because you're genuinely good at what you do.
    • Building partnerships and integration. You partner with other trusted brands. You integrate with popular platforms. Those partnerships are signals of quality to LLMs.
    • Maintaining active presence. You regularly update your content, launch new resources, and engage in industry conversations. You signal that your business is alive, relevant, and evolving.

    SEO optimised for keywords and backlinks. LLM optimisation optimises for genuine expertise, third-party credibility, and clear authority. You're not tricking an algorithm. You're becoming genuinely worth recommending.

    LLM Optimisation Strategy: Content Depth Over Volume

    Key Insight

    In SEO, there's often pressure to create high volume. You need content targeting 100+ keywords.

    In SEO, there's often pressure to create high volume. You need content targeting 100+ keywords. You need blog posts, pillar pages, and cluster content for every search variant.

    For LLMs, depth matters more than volume. A single 5,000-word guide on your core topic is more valuable than 20 shallow 500-word posts. The model is looking for genuine expertise and comprehensive understanding, not coverage of every keyword variation.

    This doesn't mean you ignore multiple topics. But your strategy should be driven by expertise first, keyword coverage second.

    LLM Optimisation Strategy: Clear Positioning Over Keyword Matching

    Key Insight

    SEO is about matching keywords to pages. LLM optimisation is about making your positioning unmistakably clear.

    SEO is about matching keywords to pages. LLM optimisation is about making your positioning unmistakably clear.

    Can the model understand, within seconds of reading your homepage, exactly what you do? Can it clearly articulate your service offering? Can it identify your ideal customer? Can it understand why you're different?

    If the answer to any of these is "maybe" or "I'd have to infer it," your positioning is too weak for LLM optimisation. You need absolute clarity. Not for marketing impact, but for LLM reasoning.

    The Transition Strategy

    Key Insight

    Does this mean you should abandon SEO? No.

    Does this mean you should abandon SEO? No. Google still drives significant traffic for most businesses. You should continue basic SEO hygiene: fast site, mobile responsive, clean technical structure, useful content.

    But your investment priority should shift. Instead of optimising primarily for keywords and backlinks, focus on building genuine authority, creating expert content, earning third-party credibility, and ensuring your business is clearly understood by intelligent systems.

    The businesses that will thrive in the next three years are the ones that have shifted this investment priority now. They're building authority before it becomes obvious that authority matters. They're creating content that demonstrates genuine expertise. They're earning PR and partnership mentions that signal credibility.

    The businesses that will struggle are the ones that continue investing heavily in keyword targeting and link-building schemes, trying to game algorithms that no longer matter as much. They'll find their Google rankings intact while their LLM visibility remains invisible.

    What This Means for Your Strategy

    Key Insight

    Start by auditing your current approach. How much of your content is keyword-optimised versus genuinely expert?

    Start by auditing your current approach. How much of your content is keyword-optimised versus genuinely expert? How much of your credibility comes from low-quality backlinks versus genuine third-party mentions? Is your positioning crystal clear, or are visitors inferring it?

    Then begin shifting. Invest in expert content creation. Develop a PR strategy that gets your business mentioned credibly in respected publications. Build partnerships that serve as third-party validation. Make your positioning unmistakably clear on every page.

    That's the work that matters now. Not SEO tricks. Real authority. Real expertise. Real credibility. That's what LLMs reward, and that's what will drive business discovery in the AI era.

    Frequently Asked Questions

    Google functions primarily as a filter, ranking millions of results based on relevance to a query and allowing users to choose. In contrast, LLMs act as reasoners; they process a query, consider relevant information from their training data, and then generate a specific, evaluated response or recommendation, rather than just a list of links.
    LLMs do not match keywords to pages in the same way search engines do. Over-optimising content for specific keywords, often called 'keyword stuffing,' signals to modern LLMs an attempt to manipulate algorithms rather than present genuine expertise. LLMs prioritise clear positioning and real insights over keyword density.
    Instead of focusing on technical backlink structures, businesses should aim for genuine authority through credible mentions across independent sources. This involves securing features in respected industry publications, positive analyst reports, real customer case studies, and partnerships with established brands, signalling authentic credibility to LLMs.
    While LLMs don't prioritise site speed or XML sitemaps, certain technical SEO elements like structured data (Schema markup) are crucial. This explicitly tells LLMs about your business, enabling faster and more confident understanding. Clear, logical information architecture with proper heading hierarchies also aids LLM reasoning.
    Content optimisation shifts from crafting compelling snippets for clicks to providing clear, genuinely helpful information that establishes expertise. LLMs read your page to understand your business, but the user only sees the AI's generated response. The focus should be on clear information and genuine insight, not clickbait titles.
    RW

    Ross Williams

    Founder, Fortitude Media

    Ross Williams is the founder of Fortitude Media, specialising in AI visibility and content strategy for B2B companies.

    Connect on LinkedIn

    Share this article

    Related Articles

    AI Optimisation for B2B vs B2C: Key Differences
    Strategy

    AI Optimisation for B2B vs B2C: Key Differences

    B2B and B2C businesses optimise for AI differently. Learn how citation patterns, authority signals, decision complexity, and content types differ between segments.

    Read more
    Building Topic Clusters That AI Understands
    Content Architecture

    Building Topic Clusters That AI Understands

    Topic clusters work for traditional SEO, but AI systems require denser, more explicitly linked clusters. Learn architecture, internal linking, and how LLMs map topical relationships.

    Read more
    How AI Crawlers Differ from Google's Spiders — and Why It Changes Everything
    Technical

    How AI Crawlers Differ from Google's Spiders — and Why It Changes Everything

    GPTBot, ClaudeBot, and PerplexityBot crawl differently than Googlebot. Learn the technical differences, robots.txt implications, and how to optimise for both simultaneously.

    Read more

    See what AI says about your business

    Our free AI audit reveals how visible you are across 150+ AI platforms and what to fix first.

    Get Your Free AI Audit

    Or email [email protected]

    Next up

    Structured Data, Schema Markup, and Why AI Needs Your Website to Speak Its Language

    8 min read
    Ready to get visible?Free AI Audit