[{"data":1,"prerenderedAt":389},["ShallowReactive",2],{"learn-geo-/en/learn/geo/faq-block-en":3},{"id":4,"title":5,"body":6,"description":347,"extension":348,"meta":349,"navigation":382,"path":383,"seo":384,"stem":387,"__hash__":388},"content_en/5.learn/geo/faq-block.md","FAQ Blocks for AI Citability",{"type":7,"value":8,"toc":341},"minimark",[9,17,22,25,33,44,48,78,277,281,308,312,337],[10,11,12,16],"p",{},[13,14,15],"strong",{},"TL;DR"," — AI engines are answer machines. Pages structured as Q&A pairs map directly to how LLMs produce output — they can lift a question-answer pair nearly verbatim. FAQ blocks are one of the highest-ROI GEO implementations.",[18,19,21],"h2",{"id":20},"why-faq-blocks-matter-for-ai-engines","Why FAQ Blocks Matter for AI Engines",[10,23,24],{},"AI engines are fundamentally answer machines. Every user query is a question, and every model response is an answer drawn from source content. Pages structured as questions and answers map directly to this output format — models can extract a Q&A pair and reproduce it almost verbatim without transformation.",[10,26,27,28,32],{},"The ",[29,30,31],"code",{},"FAQPage"," schema additionally signals to Google that a page directly answers questions, which feeds into AI Overview inclusion logic. Pages with FAQ schema appear significantly more often as cited sources in ChatGPT, Perplexity, and Claude responses when the question matches a user query.",[10,34,35,36,39,40,43],{},"The mechanism goes beyond schema. Even without structured markup, a visible FAQ section with clear ",[29,37,38],{},"\u003Ch2>","/",[29,41,42],{},"\u003Ch3>"," questions creates content structure that LLMs parse more reliably than dense prose paragraphs. The combination of visible structure + schema markup is the most reliable path to direct AI citation.",[18,45,47],{"id":46},"how-to-implement","How to Implement",[49,50,51,69,75],"ul",{},[52,53,54,55,58,59,61,62,64,65,68],"li",{},"Add a visible ",[29,56,57],{},"\u003Csection>"," with questions as ",[29,60,38],{}," or ",[29,63,42],{}," and answers as ",[29,66,67],{},"\u003Cp>"," directly below",[52,70,71,72,74],{},"Pair with ",[29,73,31],{}," JSON-LD schema listing the same Q&A pairs",[52,76,77],{},"Minimum 3 questions; keep answers under 150 words each for clean extraction",[79,80,85],"pre",{"className":81,"code":82,"language":83,"meta":84,"style":84},"language-json shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is GEO optimisation?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"GEO (Generative Engine Optimisation) is the practice of structuring content so AI engines can reliably extract and cite it in generated responses.\"\n    }\n  }]\n}\n","json","",[29,86,87,96,124,144,159,181,202,217,239,259,265,271],{"__ignoreMap":84},[88,89,92],"span",{"class":90,"line":91},"line",1,[88,93,95],{"class":94},"sMK4o","{\n",[88,97,99,102,106,109,112,115,119,121],{"class":90,"line":98},2,[88,100,101],{"class":94},"  \"",[88,103,105],{"class":104},"spNyl","@context",[88,107,108],{"class":94},"\"",[88,110,111],{"class":94},":",[88,113,114],{"class":94}," \"",[88,116,118],{"class":117},"sfazB","https://schema.org",[88,120,108],{"class":94},[88,122,123],{"class":94},",\n",[88,125,127,129,132,134,136,138,140,142],{"class":90,"line":126},3,[88,128,101],{"class":94},[88,130,131],{"class":104},"@type",[88,133,108],{"class":94},[88,135,111],{"class":94},[88,137,114],{"class":94},[88,139,31],{"class":117},[88,141,108],{"class":94},[88,143,123],{"class":94},[88,145,147,149,152,154,156],{"class":90,"line":146},4,[88,148,101],{"class":94},[88,150,151],{"class":104},"mainEntity",[88,153,108],{"class":94},[88,155,111],{"class":94},[88,157,158],{"class":94}," [{\n",[88,160,162,165,168,170,172,174,177,179],{"class":90,"line":161},5,[88,163,164],{"class":94},"    \"",[88,166,131],{"class":167},"sBMFI",[88,169,108],{"class":94},[88,171,111],{"class":94},[88,173,114],{"class":94},[88,175,176],{"class":117},"Question",[88,178,108],{"class":94},[88,180,123],{"class":94},[88,182,184,186,189,191,193,195,198,200],{"class":90,"line":183},6,[88,185,164],{"class":94},[88,187,188],{"class":167},"name",[88,190,108],{"class":94},[88,192,111],{"class":94},[88,194,114],{"class":94},[88,196,197],{"class":117},"What is GEO optimisation?",[88,199,108],{"class":94},[88,201,123],{"class":94},[88,203,205,207,210,212,214],{"class":90,"line":204},7,[88,206,164],{"class":94},[88,208,209],{"class":167},"acceptedAnswer",[88,211,108],{"class":94},[88,213,111],{"class":94},[88,215,216],{"class":94}," {\n",[88,218,220,223,226,228,230,232,235,237],{"class":90,"line":219},8,[88,221,222],{"class":94},"      \"",[88,224,131],{"class":225},"sbssI",[88,227,108],{"class":94},[88,229,111],{"class":94},[88,231,114],{"class":94},[88,233,234],{"class":117},"Answer",[88,236,108],{"class":94},[88,238,123],{"class":94},[88,240,242,244,247,249,251,253,256],{"class":90,"line":241},9,[88,243,222],{"class":94},[88,245,246],{"class":225},"text",[88,248,108],{"class":94},[88,250,111],{"class":94},[88,252,114],{"class":94},[88,254,255],{"class":117},"GEO (Generative Engine Optimisation) is the practice of structuring content so AI engines can reliably extract and cite it in generated responses.",[88,257,258],{"class":94},"\"\n",[88,260,262],{"class":90,"line":261},10,[88,263,264],{"class":94},"    }\n",[88,266,268],{"class":90,"line":267},11,[88,269,270],{"class":94},"  }]\n",[88,272,274],{"class":90,"line":273},12,[88,275,276],{"class":94},"}\n",[18,278,280],{"id":279},"common-mistakes","Common Mistakes",[49,282,283,296,302],{},[52,284,285,295],{},[13,286,287,288,39,291,294],{},"Using ",[29,289,290],{},"\u003Cdetails>",[29,292,293],{},"\u003Csummary>"," accordion elements"," — content hidden by default may be skipped by crawlers and AI parsers; use visible, expanded content",[52,297,298,301],{},[13,299,300],{},"Generic questions that don't match real user queries"," — FAQ questions should mirror how users actually phrase queries to AI engines (conversational, specific)",[52,303,304,307],{},[13,305,306],{},"Answers that are too long"," — LLMs prefer concise, self-contained answers under 150 words; longer answers get truncated or paraphrased, losing precision",[18,309,311],{"id":310},"sources","Sources",[49,313,314,323,330],{},[52,315,316],{},[317,318,322],"a",{"href":319,"rel":320},"https://developers.google.com/search/docs/appearance/structured-data/faqpage",[321],"nofollow","Google Structured Data — FAQPage",[52,324,325],{},[317,326,329],{"href":327,"rel":328},"https://schema.org/FAQPage",[321],"schema.org/FAQPage",[52,331,332],{},[317,333,336],{"href":334,"rel":335},"https://arxiv.org/abs/2311.09735",[321],"Princeton GEO Paper (2024)",[338,339,340],"style",{},"html pre.shiki code .sMK4o, html code.shiki .sMK4o{--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF}html pre.shiki code .spNyl, html code.shiki .spNyl{--shiki-light:#9C3EDA;--shiki-default:#C792EA;--shiki-dark:#C792EA}html pre.shiki code .sfazB, html code.shiki .sfazB{--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D}html pre.shiki code .sBMFI, html code.shiki .sBMFI{--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B}html pre.shiki code .sbssI, html code.shiki .sbssI{--shiki-light:#F76D47;--shiki-default:#F78C6C;--shiki-dark:#F78C6C}html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":84,"searchDepth":98,"depth":98,"links":342},[343,344,345,346],{"id":20,"depth":98,"text":21},{"id":46,"depth":98,"text":47},{"id":279,"depth":98,"text":280},{"id":310,"depth":98,"text":311},"A dedicated question-and-answer section that AI engines can extract and surface directly.","md",{"publishedAt":350,"badge":351,"type":353,"faq":354,"related":364,"cta":377},"2026-03-31",{"label":352},"Core","guide",[355,358,361],{"question":356,"answer":357},"How many FAQ questions should I include on a page?","3–7 questions is the optimal range. Fewer than 3 questions doesn't justify a FAQPage schema block. More than 10 questions dilutes the signal — break them into separate pages or sections instead.",{"question":359,"answer":360},"Should FAQ questions be visible on the page or just in schema?","Both. The FAQ content must be visible in the HTML — not hidden behind JavaScript or CSS display:none. Google and AI crawlers cross-check schema data against the visible page content. Schema-only FAQ blocks are flagged as spam.",{"question":362,"answer":363},"Can I use the same FAQ on multiple pages?","Avoid it. Duplicate FAQ content across multiple URLs dilutes citation value. Each FAQ block should answer questions specific to that page's topic.",[365,369,373],{"title":366,"url":367,"description":368},"Schema Markup for AI Engines","/learn/geo/schema-markup","JSON-LD structured data that powers FAQ schema and other AI citation signals.",{"title":370,"url":371,"description":372},"Heading Hierarchy","/learn/geo/heading-hierarchy","How H2/H3 structure helps AI engines identify which section answers a query.",{"title":374,"url":375,"description":376},"Clear Takeaway / Key Summary","/learn/geo/clear-takeaway","Summary blocks that guarantee your conclusion is captured by AI engines.",{"title":378,"description":379,"label":380,"url":381},"Check if your FAQ blocks are AI-readable","TrustData audits FAQ schema validity, question quality, and answer length across your pages.","Audit my pages","https://app.trustdata.tech",true,"/learn/geo/faq-block",{"title":385,"description":386},"FAQ Blocks for AI Citability — GEO Optimisation Guide","FAQ blocks map directly to how LLMs produce answers. Pages with FAQPage schema are cited significantly more often in ChatGPT, Perplexity, and Claude responses.","5.learn/geo/faq-block","g_p_JzDHjWQ5vngBaOVFgBgu7d6FjQfhnp_BNpHbFfk",1777026713824]