SEO teams are being asked a new question: are we optimising for large language models? Many wonder whether LLM SEO requires a completely different playbook or whether it is simply good SEO with a new name. The answer is that LLM SEO shares deep roots with traditional SEO but changes the target, the unit of competition, and the way success is measured.
This guide compares LLM SEO with traditional SEO and shows how to combine them into one efficient strategy.
Definitions
Traditional SEO improves a website’s visibility in search engine results pages, primarily through rankings in Google and Bing. It focuses on crawlability, relevance, content quality, links, and user experience.
LLM SEO improves how large language models, such as those behind ChatGPT, Gemini, Claude, Copilot, and Perplexity, understand, mention, describe, and cite your brand and content. It covers both training-time knowledge and answer-time retrieval. For an introduction, see our guide to AI SEO.
Key Differences
| Dimension | Traditional SEO | LLM SEO |
|---|---|---|
| Primary goal | Rank pages | Be mentioned, described accurately, and cited |
| Output users see | List of links | Synthesised answer |
| Unit of competition | Page | Passage, fact, and brand entity |
| Query style | Keywords | Conversational prompts |
| Key signals | Links, relevance, technical health | Clarity, entity consistency, evidence, authority |
| Off-site focus | Backlinks | Mentions, reviews, citations, consistency |
| Measurement | Rankings, traffic, CTR | Mentions, citations, accuracy, share of voice |
What Changes With LLM SEO
From Pages to Passages
Language model systems often retrieve passages rather than whole pages. A single well-written section can be used even if the rest of the page is general. This makes section-level clarity critical.
From Keywords to Meaning
LLMs use semantic understanding. Matching the exact keyword matters less than clearly expressing the concept and covering related questions. Topical depth and clear definitions beat keyword repetition.
From Links to Mentions
Backlinks still matter for search, but LLMs also learn from unlinked mentions. Being discussed consistently in reputable sources can influence how models describe your brand, even without links.
From Rankings to Representation
In LLM SEO, success includes whether you are described accurately and positioned correctly. A model might mention you but describe outdated services or the wrong audience. Accuracy becomes a measurable goal.
From Clicks to Influence
Many LLM interactions do not result in clicks. Visibility in answers can still build awareness and lead to later branded searches or direct visits.
What Stays the Same
Crawlability and Indexing
Many LLM products retrieve from search indexes or their own crawled indexes. If content cannot be crawled, it cannot be used. Technical SEO remains foundational.
Content Quality
Helpful, accurate, expert content performs well in both search engines and language models.
Authority and Trust
Reputable, well-established sources are favoured by both. E-E-A-T principles apply across the board.
User Intent
Understanding what users need and serving that intent is central to both disciplines.
Where Traditional SEO Tactics Fall Short for LLMs
- Keyword stuffing does not help and can reduce clarity.
- Thin pages targeting keyword variations offer little for models to use.
- Link schemes do not build genuine brand understanding.
- Clickbait titles without substantive answers are rarely cited.
- Rank tracking alone misses AI visibility entirely.
How to Combine Both in One Strategy
1. Keep the Technical Foundation Strong
Maintain crawlability, indexing, site speed, and structured data. Add AI crawler management to your technical checks. An AI SEO audit covers both.
2. Write for Passages and Pages
Keep page-level optimisation for search rankings, and add section-level clarity: answer-first openings, descriptive headings, and self-contained sections.
3. Build Entities Alongside Links
Continue earning quality backlinks, and also invest in consistent brand information, structured data, and unlinked mentions in authoritative sources.
4. Expand Keyword Research Into Question Research
Research conversational prompts and follow-up questions, not just keywords.
5. Measure Both
Report rankings and organic traffic alongside mentions, citations, accuracy, and AI referral traffic. See our guide to AI search visibility.
A Practical Example
Take a guide titled “How to Choose a Payroll Provider.” For traditional SEO, the team researches the keyword, optimises the title and meta description, builds internal links, and earns a few backlinks. For LLM SEO, the same team adds a direct answer at the top listing the five most important selection criteria, turns each criterion into a clearly headed, self-contained section, adds a comparison table of provider types, cites official tax guidance, and names a qualified payroll expert as reviewer. The page now competes for rankings and for inclusion in AI answers.
Which Should You Prioritise?
For most businesses, traditional SEO still drives the majority of organic traffic and conversions today. But LLM visibility is growing and influences decisions earlier in the journey. The practical answer is to integrate rather than choose: most LLM SEO work strengthens traditional SEO too. Start with your highest-value topics and apply both lenses.
Final Thoughts
LLM SEO is not a replacement for traditional SEO; it is an evolution that shifts focus toward passages, entities, meaning, and representation. The fundamentals of accessible, high-quality, authoritative content still apply. Combine them with clarity, consistency, and new measurement, and you will be visible in both search results and AI answers. For a broader comparison, read AI SEO vs traditional SEO and AEO vs SEO vs GEO.
Frequently Asked Questions
What is the main difference between LLM SEO and traditional SEO?
Traditional SEO focuses on ranking pages in search results, while LLM SEO focuses on how language models mention, describe, and cite your brand, emphasising passages, entities, accuracy, and influence.
Does traditional SEO still matter for LLMs?
Yes. Many LLM products retrieve information from search or crawled indexes, so crawlability, indexing, content quality, and authority remain essential foundations for appearing in AI-generated answers.
Do backlinks help LLM SEO?
Backlinks support search visibility and authority, which helps retrieval. LLMs also learn from unlinked mentions, so consistent brand coverage in reputable sources matters alongside a healthy backlink profile.
Which traditional SEO tactics do not work for LLMs?
Keyword stuffing, thin pages for keyword variations, link schemes, and clickbait without substance offer little value to language models and rarely lead to mentions or citations in AI answers.
How should I measure LLM SEO alongside SEO?
Report rankings, organic traffic, and conversions together with AI mentions, citations, accuracy of brand descriptions, share of voice, and AI referral traffic, so leadership sees the complete search picture.
Should I choose between LLM SEO and traditional SEO?
No. Integrate them. Most LLM SEO improvements, such as clear answers, strong evidence, and consistent entities, also strengthen traditional SEO, so one combined strategy is the most efficient approach.
