{"id":19357,"date":"2025-12-10T05:36:22","date_gmt":"2025-12-10T05:36:22","guid":{"rendered":"https:\/\/promoguy.nl\/?p=19357"},"modified":"2025-12-10T05:36:25","modified_gmt":"2025-12-10T05:36:25","slug":"llm-search-optimisation-for-websites","status":"publish","type":"post","link":"https:\/\/promoguy.nl\/pt\/blog\/2025\/12\/10\/llm-search-optimisation-for-websites\/","title":{"rendered":"Otimiza\u00e7\u00e3o de pesquisa LLM para sites"},"content":{"rendered":"<p>LLMs are becoming a viable alternative for search, making it another area to pay attention to. As of March 2025, <a href=\"https:\/\/momenticmarketing.com\/blog\/google-reach-chatgpt-click-throughs\">ChatGPT garnered 39.6 million clicks<\/a>, which may not rival Google&#8217;s, but it is worth taking note of. That&#8217;s where LLM search optimisation comes in, allowing you to direct those clicks to your benefit.<\/p>\n<h2><strong>Key Differences Between LLM Search Optimisation and Traditional SEO<\/strong><\/h2>\n<p>While many aspects of LLM search optimisation are similar to traditional <a class=\"wl-entity-page-link\"  href=\"https:\/\/promoguy.nl\/pt\/blog\/vocabulary\/seo\/\" data-id=\"https:\/\/data.wordlift.io\/wl1503668\/entity\/seo\" >SEO<\/a>, other parts are not. Let&#8217;s explore a few differences:<\/p>\n<ul>\n<li><strong>Platform<\/strong>: SEO ranks on search engines, while LLM Optimisation plants references on AI models like ChatGPT or Gemini. On Google&#8217;s AI systems or Perplexity, this can be a citation which can yield some clicks. On ChatGPT, it can merely be a reference to your company, which may not increase <a class=\"wl-entity-page-link\"  href=\"https:\/\/promoguy.nl\/pt\/blog\/vocabulary\/engagement\/\" data-id=\"https:\/\/data.wordlift.io\/wl1503668\/entity\/engagement\" >engagement<\/a> directly, but increases visibility or awareness.<\/li>\n<li><strong>Keywords<\/strong>: Rather than search queries, LLM optimisation targets semantic relations between words, prompts, and questions. Synonyms and related terms play a pivotal role, along with readability, topical authority, and writing structure.<\/li>\n<li><strong>Formatting<\/strong>: Backlinks, keywords, and technical SEO are less important for LLM Optimisation. LLMs pay attention to digestible, structured, and well-referenced information.<\/li>\n<li><strong>Authority<\/strong>: LLMs take author bios, authority, and clear descriptions of what you or your business do. AI will also consider how many people reference your business elsewhere to determine whether to mention you.<\/li>\n<li><strong>KPIs<\/strong>: Success on LLMs is based on inclusion in AI responses. Test with\u00a0data-gathering based on\u00a0patterns and testing.<\/li>\n<li><strong>Data Recency<\/strong>: Good SEO depends on regular web crawling and indexing. LLMs are dependent on how up-to-date their training data is.<\/li>\n<li><strong>Reading Style<\/strong>: SEO is for browsing and comparing. LLM users expect concise and relevant answers. In some ways, LLM-optimised writing can be liberating since it offers more natural forms of writing and expression, without having to worry about matching search queries.<\/li>\n<\/ul>\n<h2>Adding LLM-Friendly Formatting<\/h2>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-19380 size-full\" src=\"https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/AI-Content-Must-haves.jpg\" alt=\"AI Content Must-haves\" width=\"1024\" height=\"768\" srcset=\"https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/AI-Content-Must-haves.jpg 1024w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/AI-Content-Must-haves-300x225.jpg 300w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/AI-Content-Must-haves-768x576.jpg 768w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/AI-Content-Must-haves-16x12.jpg 16w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>LLM search optimisation formatting often works similarly to standard search optimisation. This also means that some newer elements should be added to pages, like an llm.txt file. The llms.txt is an additional index file that contains links with metadata and descriptions of the <a class=\"wl-entity-page-link\"  href=\"https:\/\/promoguy.nl\/pt\/blog\/vocabulary\/content\/\" data-id=\"https:\/\/data.wordlift.io\/wl1503668\/entity\/content-2\" >content<\/a> that an LLM or agent can read. It has links that allow it to access detailed information that can be used in the LLM platform.<\/p>\n<p>Similarly, there is also an llms-full.txt file which can be used as an alternative. This includes all the detailed content within a single file, minimising navigation for the LLM. While this is easier to read, the file is much heavier, which can overload the reading process and may not fit in the LLM&#8217;s context window. Basically, you need to make the most of the limited information that LLMs can read within their &#8220;attention span&#8221;.<\/p>\n<p>Ultimately, larger LLM text files can be read by AI software with larger character limits and more tokens to spare. ChatGPT, Gemini, and Meta&#8217;s AI all have fairly large context windows, allowing them to absorb more data.<\/p>\n<h2>Writing For LLM Search<\/h2>\n<p>A lot of the same principles as regular search apply to LLM search optimisation when it comes to writing style. Here&#8217;s an LLM search optimisation checklist to keep you on track:<\/p>\n<ul>\n<li>Keep sentences short and focused<\/li>\n<li>Use clear headers (H1s, H2s, and H3s)<\/li>\n<li>Make sure each section is relevant since LLMs pick up on relations between words<\/li>\n<li>Use examples to illustrate concepts since LLMs pick up on writing structure<\/li>\n<li>Use natural and conversational styles of writing<\/li>\n<li>Highlight your credentials<\/li>\n<li>Use good, high-authority sources<\/li>\n<\/ul>\n<h2>LLM Seeding &amp; Backlink Strategy<\/h2>\n<p><img decoding=\"async\" class=\"wp-image-19381 size-large aligncenter\" src=\"https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/LLM-Seeding-Search-Optimisation-1024x576.jpg\" alt=\"LLM Seeding &amp; Search Optimisation\" width=\"800\" height=\"450\" srcset=\"https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/LLM-Seeding-Search-Optimisation-1024x576.jpg 1024w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/LLM-Seeding-Search-Optimisation-300x169.jpg 300w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/LLM-Seeding-Search-Optimisation-768x432.jpg 768w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/LLM-Seeding-Search-Optimisation-1536x864.jpg 1536w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/LLM-Seeding-Search-Optimisation-18x10.jpg 18w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/LLM-Seeding-Search-Optimisation-1200x675.jpg 1200w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/LLM-Seeding-Search-Optimisation.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p>Rather than traditional backlinking, LLMs rely on LLM seeding. This is a new field of prompt capturing, where information is written in such a way as to be picked up by LLMs. Content written in this style should be written directly, in clear language, and give examples. These are all elements that LLMs can pick up on. <a href=\"https:\/\/backlinko.com\/llm-seeding\">Backlinko has some great data on how you can use LLM seeding<\/a> to appear in AI searches.<\/p>\n<p>Here&#8217;s what you can do alongside traditional backlinking:<\/p>\n<ul>\n<li><strong>Tables<\/strong>: LLMs gravitate towards well-made tables, using the data from them to infer information. You can add information you want them to pick up into tables. For example, a table with &#8220;best headphones of 2025&#8221; might be picked up by queries on ChatGPT about the same topic. In this sense, LLMs work in the same way that Google&#8217;s featured snippet feature worked.<\/li>\n<li><strong>FAQs &amp; Queries<\/strong>: Since LLMs have been heavily trained on things like subreddits, Quora, and forum posts, they respond well to the patterns of FAQs and Q and As. While FAQ schema is less favoured by search engines, it is still useful for LLMs.<\/li>\n<li><strong>Clear Descriptions<\/strong>: Meta descriptions, image titles, table headers, and alt tags all play a role in helping LLMs pick up the information you want them to.<\/li>\n<li><strong>Get Mentioned in the Right Places<\/strong>: LLMs create a web of connections. This means they prioritise highly trusted sources like encyclopedias, user mentions, reviews, consumer advocacy, etc., depending on the context of the prompt.<\/li>\n<li><strong>Get Featured<\/strong>: Write guest columns for official publications and link your website or feature your profile. This will help the LLM pick up your work and treat it with authority.<\/li>\n<li><strong><span style=\"background-color: rgba(46, 146, 255, 0.2);\">User-Generated<\/span>\u00a0Content Hubs Are Important<\/strong>: User-generated content, like posts on Quora, Reddit, or some specialist forums, can drive opinions that serve as indicators of worth to the LLMs.<\/li>\n<li><strong>Social Platforms &amp; Review Sites<\/strong>: Reddit pages, review sites, and Facebook pages that give advice on products can all help boost your services. Ratings and reviews on tech websites can be great for tech queries, for example.<\/li>\n<\/ul>\n<h2>Image &amp; Video Optimisation<\/h2>\n<p>While it&#8217;s generally good UX to add images and videos, another reason to lean visual can be to give LLMs\u00a0more context about your content. Here are a few ways to do this:<\/p>\n<ul>\n<li><strong>Describe your content well<\/strong>: Lean towards full-sentence captions explaining the contents of the pictures and videos. This can also help engage LLMs in the right direction, as well. For example, rather than writing &#8220;Industrial cutting machine&#8221;,\u00a0 you can try &#8220;Industrial CNC machine developed by [company name], cutting ceramic parts at 3mm tolerance&#8221;. The latter includes stats and helps associate the company name with them. The LLM may pick up on this information when a consumer asks, &#8220;What are the best companies that produce ceramic cutting machines?&#8221;.<\/li>\n<li><strong>Lead into crucial info<\/strong>: Use your copy to drive the focus of LLMs. For example, introduce the image with writing such as \u201cAs the visual below illustrates, [company name]&#8217;s CNC machine can operate at extremely well-defined precision.\u201d<\/li>\n<li><strong>Add alt <\/strong><strong>text<\/strong>: that reflects both the subject and its importance. Try: \u201cPeach cobbler cookie at Good Cakes and Bakes, a popular Detroit bakery known for seasonal desserts.\u201d<\/li>\n<li><strong>Pay attention to file names<\/strong>: Add file names that describe the image, similar to the alt text, so that they also reinforce LLM crawlers.<\/li>\n<\/ul>\n<h2>Site Structure, Speed, &amp; LLM Search<\/h2>\n<p>Here are some structural tips that will help LLMs read your site quickly and efficiently:<\/p>\n<ul>\n<li>Page speeds are still important, especially for the most crucial pages (slow pages may not be fully crawled)<\/li>\n<li>Remove 404s and fix broken links<\/li>\n<li>Maintain clean, logical URL structures for optimal crawling<\/li>\n<li>Update your sitemap regularly<\/li>\n<li>Front-load vital information with a well-managed HTML hierarchy<\/li>\n<li>Operate with server-side rendering (SSR) for core pages<\/li>\n<li>Fill out the descriptions and alt-tags<\/li>\n<li>Use robots.txt or llms.txt where necessary<\/li>\n<li>Keep your content up-to-date and easy to read<\/li>\n<\/ul>\n<h2>LLM Search Optimisation Keyword Research<\/h2>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-19376 size-large\" src=\"https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/SEO-Search-vs-LLM-research-1024x1024.jpg\" alt=\"SEO Search vs LLM research\" width=\"800\" height=\"800\" srcset=\"https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/SEO-Search-vs-LLM-research-1024x1024.jpg 1024w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/SEO-Search-vs-LLM-research-300x300.jpg 300w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/SEO-Search-vs-LLM-research-150x150.jpg 150w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/SEO-Search-vs-LLM-research-768x768.jpg 768w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/SEO-Search-vs-LLM-research-12x12.jpg 12w, https:\/\/promoguy.nl\/wp-content\/uploads\/2025\/12\/SEO-Search-vs-LLM-research.jpg 1080w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p>While there is little consensus about the best practices for LLM keywords, here are a few things we can say for certain:<\/p>\n<ul>\n<li><strong>LLMs allow for longer queries<\/strong>: The average LLM query (ones comparable to SEO keywords) can be as large as 14 to 30 words. Longtail and short-tail are not really relevant here, unless they add dimensions to the prompt.<\/li>\n<li><strong>Conversational writing<\/strong>: Prompts are more conversational, and the LLM will try to adjust to the request (for better and for worse). SEO usually requires a match to the exact question, as the search engine finds the closest match.<\/li>\n<li><strong>Prompt-squatting works differently<\/strong>: Find prompts that don&#8217;t have an answer yet and add content that caters to the prompt as precisely as possible. To get your answer referenced in a high-competition prompt, you need to be mentioned in text or reviews, linked to, rely on user-generated content, etc. Mentions and high-value writing drive authority.<\/li>\n<li><strong>LLM keywords rely on &#8220;entity clusters&#8221;<\/strong>: Since LLMs work on semantically related keywords, they will be best approached with synonyms. Fill your text with related words and make the intent of the text clear. Write about a topic clearly and concisely, using related terms that signal to the LLM that your piece is a relevant source.<\/li>\n<li><strong>Intent matters<\/strong>: AI is primarily used for informational queries (right now). This makes sense as it is much more direct and precise (grammatically, if not factually) when answering questions. If a user has a navigational query, such as finding a company&#8217;s website, it&#8217;s far easier to Google it. Similarly, search engines are still better for a lot of commercial queries, such as finding products.<\/li>\n<\/ul>\n<h2>How to Measure Success With LLM Search Optimisation<\/h2>\n<ul>\n<li><strong>Chunk retrieval frequency<\/strong>: This metric measures how often modular content blocks are retrieved and turned into AI prompt responses.<\/li>\n<li><strong>Embedding relevance score<\/strong>: This operates as a similarity score between a search query and embedded content. This can be important for understanding what aspects of your content are being picked up and how to refine your answers closer to the needs of an LLM.<\/li>\n<li><strong>Attribution rate in AI outputs<\/strong>: This is a citation score for AI answers, closely related to attribution in journalism and analytics. Similar to a backlink score, this helps you know how many times you&#8217;re being referred to by LLMs.<\/li>\n<li><strong>AI citation count<\/strong>: A score of total references to your work across all LLMs.<\/li>\n<li><strong>Freshness<\/strong>: How recent and fresh the data is. Some information requests are highly time-dependent (such as statistics, breaking news, and research studies), so keeping fresh content is crucial.<\/li>\n<li><strong>Vector index presence rate<\/strong>: A percentage that illustrates how much of your content has been indexed by an AI, mixing standard indexing with database vector logic.<\/li>\n<li><strong>Retrieval confidence score<\/strong>: An estimation of the likelihood your writing will be picked up by an LLM.<\/li>\n<li><strong>RRF Rank Contribution<\/strong>: Based on the Reciprocal Rank Fusion models, this determines how much your chunk of content influenced the final output.<\/li>\n<li><strong>LLM answer coverage<\/strong>: This measures the exact number of distinct prompts your content helps resolves or &#8220;covers&#8221;.<\/li>\n<li><strong>AI model crawl success rate<\/strong>: A percentage that illustrates the amount of your site that AI bots can successfully absorb.<\/li>\n<li><strong>Semantic density score<\/strong>: Measures and scores the meaning, relationships, and facts per chunk of content.<\/li>\n<li><strong>Zero-click surface presence<\/strong>: A measure of how many times you appear in LLMs without a click to your website. Great for measuring how many clicks you are losing to LLMs.<\/li>\n<li><strong>Machine-validated authority<\/strong>: An alternative to links and search authority scores, adapted to AI.<\/li>\n<\/ul>\n<h2>LLM Search FAQ<\/h2>\n<ul>\n<li><strong>Does LLM Search kill organic traffic? How is success measured now?<\/strong><\/li>\n<\/ul>\n<p>LLM search has not killed organic traffic across all industries, but it has decreased certain types of queries. While <a class=\"wl-entity-page-link\"  href=\"https:\/\/promoguy.nl\/pt\/blog\/vocabulary\/google\/\" data-id=\"https:\/\/data.wordlift.io\/wl1503668\/entity\/google\" >Google<\/a> is still king, many informational queries have been taken over by AI.<\/p>\n<ul>\n<li><strong>Which LLMs use my website content for answers (e.g., ChatGPT, Gemini, Claude)?<\/strong><\/li>\n<\/ul>\n<p>All of the above use different types of web content for their output. The various training data sources overlap, so multiple models may use your content. For video content, you can use <a href=\"https:\/\/www.proofnews.org\/youtube-ai-search\/\">Proof to check whether your content is being used by AI<\/a>. Other <a href=\"https:\/\/www.transparencycoalition.ai\/learn\/tcai-guide-to-search-tools-was-your-data-used-to-train-an-ai-model\">tools for checking training data for books, images, and written content<\/a> also exist.<\/p>\n<ul>\n<li><strong>Is an llms.txt file the same as a robots.txt?<\/strong><\/li>\n<\/ul>\n<p>For the most part, they work very similarly. However, robots.txt differs in that AI has a limited context window, so it&#8217;s best to use it to indicate important chunks rather than the entire page.<\/p>\n<ul>\n<li><strong>How do I use schema markup to get my content cited in an AI Overview?<\/strong><\/li>\n<\/ul>\n<p>By inserting the right schema type into your content, you can guide AI to relevant answers. Schema can help AI find information about organisations, persons, products, services, locations, FAQs, and reviews. Each of these has a different code, so including it can help classify the content to improve attribution and citation rates.<\/p>\n<ul>\n<li><strong>How does the context window limit how much an LLM can read from my site?<\/strong><\/li>\n<\/ul>\n<p>Context windows limit how much text can be read by an LLM. As prompts and content get longer, the inference that the model can engage in slows down, as the LLM has to draw connections between different terms (represented as tokens). This is why content that is compact and to the point is preferred.<\/p>\n<ul>\n<li><strong>Why do long-tail and conversational queries perform better in LLM search?<\/strong><\/li>\n<\/ul>\n<p>LLMs rely on the grammatical context of a sentence, which allows them to perform better with more information. Traditional search can often be led astray by additional details, which is why being concise is more important.<\/p>\n<ul>\n<li><strong>How often should I update content to ensure it\u2019s deemed &#8220;fresh&#8221; by AI?<\/strong><\/li>\n<\/ul>\n<p>Content is most visible to AI within 30 days and becomes outdated after 12 months. This especially applies to different news stories about the same event, research, and statistics. While different queries have varying levels of time-sensitivity, it&#8217;s always a good idea to keep content fresh.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>LLMs are becoming a viable alternative for search, making it another area to pay attention to. As of March 2025, ChatGPT garnered 39.6 million clicks, which may not rival Google&#8217;s, but it is worth taking note of. That&#8217;s where LLM search optimisation comes in, allowing you to direct those clicks to your benefit. Key Differences [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":19365,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"wl_entities_gutenberg":"","footnotes":""},"categories":[37,7,10],"tags":[1034,1054,1043],"wl_entity_type":[47],"class_list":["post-19357","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-link-building-en","category-online-marketing","category-online-presence","tag-keyword-research","tag-llm-search","tag-search-optimisation","wl_entity_type-article"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>LLM Search Optimisation For Websites - Promoguy Digital Marketing Agency<\/title>\n<meta name=\"description\" content=\"LLM search optimisation is an increasingly important factor in modern search stats. 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