{"slug":"DloksDQzH","url":"https://www.iana.org/help/example-domains","query":"what are example domains used for","score":45,"createdAt":"Sat Aug 08 2026 08:23:18 GMT+0000 (Coordinated Universal Time)","result":{"fixKit":{"grouped":{"copy":[{"key":"h1-quality","kind":"structure","title":"H1 quality","content":"Adjust H1 length to 20-80 chars — shorter than 20 lacks context, longer than 80 loses retrieval focus.","priority":"medium","explainer":"H1: \"Example Domains\" (15 chars)."},{"key":"h2-coverage","kind":"structure","title":"H2 subtopic coverage","content":"Break the page into at least 4 H2 sections, each answering one aspect of the buyer query. Engines surface specific H2s as citations.","priority":"high","explainer":"1 H2 heading — answer engines decompose a buyer query into subtopics and match each to an H2."},{"key":"structural-depth","kind":"structure","title":"GEO-SFE structural depth (macro/meso/micro)","content":"Three-level structural depth (validated +17.3% citation lift, GEO-SFE arXiv:2603.29979): use H1→H2→H3 hierarchy, 5+ paragraphs/lists per H2 section, and 1-5% visual emphasis (bold/italic/code) to flag retrieval-worthy spans.","priority":"medium","explainer":"Macro: max heading depth H2 (H1=1, H2=1, H3=0, H4=0). Meso: 25.0 chunks/section avg. Micro: 0.00% visual emphasis."},{"key":"outbound-authority-links","kind":"structure","title":"Outbound links to authoritative sources","content":"Add 2-3 outbound citations to .edu / .gov / known publishers. The GEO paper measured this as the #2 citation-lift factor.","priority":"high","explainer":"0 links to authoritative domains (.edu, .gov, named sources)."},{"key":"citation-density","kind":"structure","title":"Inline citations and attributions","content":"Add inline citations ([1], [2]) or attribution phrases (\"according to X\"). GEO factor #1 for credibility-weighted citation.","priority":"high","explainer":"0 bracketed citations + 0 attribution phrases (per 200 words: 0%)."},{"key":"quotations","kind":"structure","title":"Expert quotations","content":"Include at least one direct quote from a named expert, ideally in a <blockquote>. Quote-rich pages are 28% more likely to be cited (GEO paper).","priority":"high","explainer":"0 blockquotes + 0 long inline quotes."},{"key":"headline-rewrite","kind":"copy","title":"H1 rewrite suggestions","content":"• Top-level domain: A Practical Guide for 2026\n• What Top-level domain Actually Means for Teams\n• What are example domains used for — Explained in 5 Minutes","priority":"high","explainer":"Three H1 candidates that lead with the buyer's core query term and stay within the 20-80 character AEO sweet spot."}],"schemas":[{"key":"primary-schema","kind":"schema-json-ld","title":"Article JSON-LD","content":"<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"Article\",\n  \"headline\": \"Example Domains\",\n  \"description\": \"Example Domains\",\n  \"url\": \"https://www.iana.org/help/example-domains\",\n  \"datePublished\": \"2026-08-08\",\n  \"author\": {\n    \"@type\": \"Person\",\n    \"name\": \"Add author name\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"Iana\",\n    \"logo\": {\n      \"@type\": \"ImageObject\",\n      \"url\": \"https://www.iana.org/logo.png\"\n    }\n  }\n}\n</script>","priority":"high","explainer":"A Article schema is the strongest single AEO signal for a informational query. Paste this in the <head>."},{"key":"faq-schema","kind":"schema-json-ld","title":"FAQPage JSON-LD","content":"<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is Further Reading?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Add a 1-2 sentence answer here, mentioning the key entity / number / claim that buyers searching \\\"what are example domains used for\\\" would expect.\"\n      }\n    }\n  ]\n}\n</script>","priority":"high","explainer":"FAQPage is the single most-cited schema type by Google AI Overviews. Add 3-5 Q&A pairs covering what buyers ask."},{"key":"organization-schema","kind":"schema-json-ld","title":"Organization JSON-LD","content":"<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"Organization\",\n  \"name\": \"Iana\",\n  \"url\": \"https://www.iana.org\",\n  \"logo\": \"https://www.iana.org/logo.png\",\n  \"sameAs\": [\n    \"https://twitter.com/your-handle\",\n    \"https://linkedin.com/company/your-org\"\n  ]\n}\n</script>","priority":"medium","explainer":"Organization schema gives the engine an E-E-A-T anchor — pages without one are treated as anonymous."}],"metadata":[{"key":"open-graph","kind":"metadata","title":"Open Graph metadata","content":"<meta property=\"og:title\" content=\"Example Domains\">\n<meta property=\"og:description\" content=\"Example Domains\">\n<meta property=\"og:type\" content=\"article\">\n<meta property=\"og:image\" content=\"/og-image.png\">","priority":"medium","explainer":"Add to <head>. Engines use this metadata for the cited preview card and ranking signals."},{"key":"twitter-card","kind":"metadata","title":"Twitter Card","content":"<meta name=\"twitter:card\" content=\"summary_large_image\">\n<meta name=\"twitter:title\" content=\"Example Domains\">\n<meta name=\"twitter:image\" content=\"/twitter-card.png\">","priority":"medium","explainer":"Add to <head>. Engines use this metadata for the cited preview card and ranking signals."},{"key":"meta-description","kind":"metadata","title":"Meta description","content":"<meta name=\"description\" content=\"Example Domains — add a 120-160 character description that opens with the buyer's core question.\">","priority":"medium","explainer":"Add to <head>. Engines use this metadata for the cited preview card and ranking signals."},{"key":"canonical","kind":"metadata","title":"Canonical URL","content":"<link rel=\"canonical\" href=\"https://www.iana.org/help/example-domains\">","priority":"medium","explainer":"Add to <head>. Engines use this metadata for the cited preview card and ranking signals."}]},"patches":[{"key":"primary-schema","kind":"schema-json-ld","title":"Article JSON-LD","content":"<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"Article\",\n  \"headline\": \"Example Domains\",\n  \"description\": \"Example Domains\",\n  \"url\": \"https://www.iana.org/help/example-domains\",\n  \"datePublished\": \"2026-08-08\",\n  \"author\": {\n    \"@type\": \"Person\",\n    \"name\": \"Add author name\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"Iana\",\n    \"logo\": {\n      \"@type\": \"ImageObject\",\n      \"url\": \"https://www.iana.org/logo.png\"\n    }\n  }\n}\n</script>","priority":"high","explainer":"A Article schema is the strongest single AEO signal for a informational query. Paste this in the <head>."},{"key":"faq-schema","kind":"schema-json-ld","title":"FAQPage JSON-LD","content":"<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is Further Reading?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Add a 1-2 sentence answer here, mentioning the key entity / number / claim that buyers searching \\\"what are example domains used for\\\" would expect.\"\n      }\n    }\n  ]\n}\n</script>","priority":"high","explainer":"FAQPage is the single most-cited schema type by Google AI Overviews. Add 3-5 Q&A pairs covering what buyers ask."},{"key":"organization-schema","kind":"schema-json-ld","title":"Organization JSON-LD","content":"<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"Organization\",\n  \"name\": \"Iana\",\n  \"url\": \"https://www.iana.org\",\n  \"logo\": \"https://www.iana.org/logo.png\",\n  \"sameAs\": [\n    \"https://twitter.com/your-handle\",\n    \"https://linkedin.com/company/your-org\"\n  ]\n}\n</script>","priority":"medium","explainer":"Organization schema gives the engine an E-E-A-T anchor — pages without one are treated as anonymous."},{"key":"open-graph","kind":"metadata","title":"Open Graph metadata","content":"<meta property=\"og:title\" content=\"Example Domains\">\n<meta property=\"og:description\" content=\"Example Domains\">\n<meta property=\"og:type\" content=\"article\">\n<meta property=\"og:image\" content=\"/og-image.png\">","priority":"medium","explainer":"Add to <head>. Engines use this metadata for the cited preview card and ranking signals."},{"key":"twitter-card","kind":"metadata","title":"Twitter Card","content":"<meta name=\"twitter:card\" content=\"summary_large_image\">\n<meta name=\"twitter:title\" content=\"Example Domains\">\n<meta name=\"twitter:image\" content=\"/twitter-card.png\">","priority":"medium","explainer":"Add to <head>. Engines use this metadata for the cited preview card and ranking signals."},{"key":"meta-description","kind":"metadata","title":"Meta description","content":"<meta name=\"description\" content=\"Example Domains — add a 120-160 character description that opens with the buyer's core question.\">","priority":"medium","explainer":"Add to <head>. Engines use this metadata for the cited preview card and ranking signals."},{"key":"canonical","kind":"metadata","title":"Canonical URL","content":"<link rel=\"canonical\" href=\"https://www.iana.org/help/example-domains\">","priority":"medium","explainer":"Add to <head>. Engines use this metadata for the cited preview card and ranking signals."},{"key":"h1-quality","kind":"structure","title":"H1 quality","content":"Adjust H1 length to 20-80 chars — shorter than 20 lacks context, longer than 80 loses retrieval focus.","priority":"medium","explainer":"H1: \"Example Domains\" (15 chars)."},{"key":"h2-coverage","kind":"structure","title":"H2 subtopic coverage","content":"Break the page into at least 4 H2 sections, each answering one aspect of the buyer query. Engines surface specific H2s as citations.","priority":"high","explainer":"1 H2 heading — answer engines decompose a buyer query into subtopics and match each to an H2."},{"key":"structural-depth","kind":"structure","title":"GEO-SFE structural depth (macro/meso/micro)","content":"Three-level structural depth (validated +17.3% citation lift, GEO-SFE arXiv:2603.29979): use H1→H2→H3 hierarchy, 5+ paragraphs/lists per H2 section, and 1-5% visual emphasis (bold/italic/code) to flag retrieval-worthy spans.","priority":"medium","explainer":"Macro: max heading depth H2 (H1=1, H2=1, H3=0, H4=0). Meso: 25.0 chunks/section avg. Micro: 0.00% visual emphasis."},{"key":"outbound-authority-links","kind":"structure","title":"Outbound links to authoritative sources","content":"Add 2-3 outbound citations to .edu / .gov / known publishers. The GEO paper measured this as the #2 citation-lift factor.","priority":"high","explainer":"0 links to authoritative domains (.edu, .gov, named sources)."},{"key":"citation-density","kind":"structure","title":"Inline citations and attributions","content":"Add inline citations ([1], [2]) or attribution phrases (\"according to X\"). GEO factor #1 for credibility-weighted citation.","priority":"high","explainer":"0 bracketed citations + 0 attribution phrases (per 200 words: 0%)."},{"key":"quotations","kind":"structure","title":"Expert quotations","content":"Include at least one direct quote from a named expert, ideally in a <blockquote>. Quote-rich pages are 28% more likely to be cited (GEO paper).","priority":"high","explainer":"0 blockquotes + 0 long inline quotes."},{"key":"headline-rewrite","kind":"copy","title":"H1 rewrite suggestions","content":"• Top-level domain: A Practical Guide for 2026\n• What Top-level domain Actually Means for Teams\n• What are example domains used for — Explained in 5 Minutes","priority":"high","explainer":"Three H1 candidates that lead with the buyer's core query term and stay within the 20-80 character AEO sweet spot."}],"headline":"Behind the cited cohort (45/100) — 14 structural patches needed"},"rubric":{"overall":45,"signals":[{"key":"json-ld-presence","label":"JSON-LD structured data","score":0,"detail":"No JSON-LD blocks found. Answer engines key off schema.org markup to ground citations.","remedy":"Add at least one schema.org JSON-LD block — Article, Product, FAQPage, or HowTo are the highest-lift types.","weight":0.13,"category":"structure","severity":"absent"},{"key":"json-ld-validity","label":"JSON-LD validity","score":1,"detail":"No JSON-LD blocks to validate (the presence signal covers that).","remedy":null,"weight":0.1,"category":"structure","severity":"ok"},{"key":"json-ld-relevance","label":"Schema type matches query intent","score":0,"detail":"No schema types — for a informational query, add one of: Article, BlogPosting, FAQPage, HowTo.","remedy":"Add a Article JSON-LD block — the highest-leverage schema type for a \"what are example domains used for\" query.","weight":0.12,"category":"structure","severity":"absent"},{"key":"faq-schema","label":"FAQ / Q&A schema","score":0,"detail":"No FAQPage / QAPage schema — AI Overviews preferentially cite pages exposing structured Q&A.","remedy":"Add a FAQPage schema with 3-5 questions buyers actually ask. The single most direct path to AI Overview citation.","weight":0.1,"category":"structure","severity":"absent"},{"key":"h1-quality","label":"H1 quality","score":0.6,"detail":"H1: \"Example Domains\" (15 chars).","remedy":"Adjust H1 length to 20-80 chars — shorter than 20 lacks context, longer than 80 loses retrieval focus.","weight":0.1,"category":"structure","severity":"weak"},{"key":"h2-coverage","label":"H2 subtopic coverage","score":0.25,"detail":"1 H2 heading — answer engines decompose a buyer query into subtopics and match each to an H2.","remedy":"Break the page into at least 4 H2 sections, each answering one aspect of the buyer query. Engines surface specific H2s as citations.","weight":0.09,"category":"structure","severity":"absent"},{"key":"lists","label":"Lists (bulleted / numbered)","score":1,"detail":"8 lists found.","remedy":null,"weight":0.08,"category":"structure","severity":"ok"},{"key":"tables","label":"Comparison tables","score":1,"detail":"1 table found — strong AEO signal.","remedy":null,"weight":0.07,"category":"structure","severity":"ok"},{"key":"alt-text","label":"Image alt-text coverage","score":1,"detail":"1 of 1 images have alt text (100%).","remedy":null,"weight":0.05,"category":"structure","severity":"ok"},{"key":"open-graph","label":"Open Graph metadata","score":0,"detail":"Open Graph: title ✗, desc ✗, image ✗.","remedy":"Add og:title, og:description, og:image meta tags. AI engines use OG for the cited preview card.","weight":0.06,"category":"structure","severity":"absent"},{"key":"internal-linking","label":"Internal linking quality","score":0.9851851851851852,"detail":"27 internal links (26 with descriptive anchors), 4 external.","remedy":null,"weight":0.08,"category":"structure","severity":"ok"},{"key":"page-weight","label":"Page weight + render-blocking","score":0.8,"detail":"6 KB HTML, 1 blocking script(s), 1 blocking stylesheet(s), 1/1 images without lazy-load.","remedy":null,"weight":0.06,"category":"structure","severity":"ok"},{"key":"structural-depth","label":"GEO-SFE structural depth (macro/meso/micro)","score":0.64,"detail":"Macro: max heading depth H2 (H1=1, H2=1, H3=0, H4=0). Meso: 25.0 chunks/section avg. Micro: 0.00% visual emphasis.","remedy":"Three-level structural depth (validated +17.3% citation lift, GEO-SFE arXiv:2603.29979): use H1→H2→H3 hierarchy, 5+ paragraphs/lists per H2 section, and 1-5% visual emphasis (bold/italic/code) to flag retrieval-worthy spans.","weight":0.1,"category":"structure","severity":"weak"},{"key":"outbound-authority-links","label":"Outbound links to authoritative sources","score":0,"detail":"0 links to authoritative domains (.edu, .gov, named sources).","remedy":"Add 2-3 outbound citations to .edu / .gov / known publishers. The GEO paper measured this as the #2 citation-lift factor.","weight":0.16,"category":"authority","severity":"absent"},{"key":"citation-density","label":"Inline citations and attributions","score":0,"detail":"0 bracketed citations + 0 attribution phrases (per 200 words: 0%).","remedy":"Add inline citations ([1], [2]) or attribution phrases (\"according to X\"). GEO factor #1 for credibility-weighted citation.","weight":0.14,"category":"authority","severity":"absent"},{"key":"statistic-density","label":"Statistic density","score":1,"detail":"5 numerical facts (~4.2 per 100 words).","remedy":null,"weight":0.13,"category":"authority","severity":"ok"},{"key":"quotations","label":"Expert quotations","score":0,"detail":"0 blockquotes + 0 long inline quotes.","remedy":"Include at least one direct quote from a named expert, ideally in a <blockquote>. Quote-rich pages are 28% more likely to be cited (GEO paper).","weight":0.11,"category":"authority","severity":"absent"},{"key":"author-byline","label":"Author byline","score":0,"detail":"No author byline. E-E-A-T penalises anonymous content.","remedy":"Add a visible author byline (a `<div class=\"byline\">` or `[rel=\"author\"]`) AND a `<meta name=\"author\">` tag.","weight":0.1,"category":"authority","severity":"absent"},{"key":"date-markup","label":"Publish + update date markup","score":0.6,"detail":"Published date present; modified date missing.","remedy":"Add `<time datetime=\"...\">` for published date AND a `<meta property=\"article:modified_time\">` for updates.","weight":0.09,"category":"authority","severity":"weak"},{"key":"freshness","label":"Content freshness","score":0.1,"detail":"Newest date marker is 3374 days old.","remedy":"Update the page (and bump the modified date). Engines apply a freshness boost <90 days; content older than 1 year ranks at 60% of fresh.","weight":0.13,"category":"authority","severity":"absent"},{"key":"technical-terms","label":"Technical / domain vocabulary","score":1,"detail":"31 multi-syllable words (~26.3% of total).","remedy":null,"weight":0.14,"category":"authority","severity":"ok"},{"key":"direct-answer","label":"Direct answer in the lead","score":0.8333333333333334,"detail":"5 of 6 query terms appear in the first paragraph.","remedy":null,"weight":0.18,"category":"content","severity":"ok"},{"key":"query-coverage","label":"Query-term coverage","score":0.8333333333333334,"detail":"83% of query terms appear somewhere on the page.","remedy":null,"weight":0.15,"category":"content","severity":"ok"},{"key":"entity-coverage","label":"Named-entity coverage","score":0.7,"detail":"7 distinct proper-noun entities mentioned.","remedy":null,"weight":0.14,"category":"content","severity":"ok"},{"key":"readability","label":"Readability (Flesch Reading Ease)","score":0.2,"detail":"Reading-ease score: 37.9 (target 60-70).","remedy":"Page reads too academic — shorter sentences and simpler vocabulary lift citation rate by ~12% (GEO §4.3).","weight":0.11,"category":"content","severity":"absent"},{"key":"length","label":"Content depth","score":0,"detail":"118 words. Target 300-2500 — engines bias toward focused depth.","remedy":"Page is too short. Expand to at least 500 words covering the query in depth.","weight":0.1,"category":"content","severity":"absent"},{"key":"info-density","label":"Information density","score":0.3,"detail":"Unique-word ratio: 72.9% (target 40-60%).","remedy":"Vocabulary varies too wildly — content may lack topical focus. Engines prefer focused pages.","weight":0.1,"category":"content","severity":"weak"},{"key":"definitions","label":"Definitional sentences","score":0,"detail":"0 definitional sentences.","remedy":"Include definitional sentences (\"X is...\", \"X refers to...\"). Engines specifically extract definitions for AI Overview snippets.","weight":0.1,"category":"content","severity":"absent"},{"key":"bluf-answer","label":"BLUF — answer in first 100 words","score":0.8833333333333333,"detail":"First 100 words cover 5/6 query terms + definitional phrase ✓.","remedy":null,"weight":0.16,"category":"content","severity":"ok"},{"key":"mega-page-coverage","label":"Mega-page coverage (what/who/how/pricing)","score":0,"detail":"0/4 facets covered (what ✗, who ✗, how ✗, pricing ✗).","remedy":"Cover what / who / how / pricing in the same URL. Chatoptic's 75k-page study found the top 4.8% of repeatedly-cited pages share this single-URL completeness.","weight":0.14,"category":"content","severity":"absent"},{"key":"youtube-embed","label":"YouTube video presence","score":0,"detail":"No YouTube presence.","remedy":"Embed (or link to) a YouTube video covering this topic. Ahrefs's 75k-brand study measured YouTube as the SINGLE strongest correlation (0.737) with AI citation across ChatGPT, AI Mode, and AI Overviews.","weight":0.13,"category":"content","severity":"absent"},{"key":"sub-query-coverage","label":"Sub-query coverage","score":0.6666666666666666,"detail":"2/3 decomposed sub-questions addressed on the page.","remedy":"Cover the sub-questions buyers actually ask along with the seed query. Currently failing on: how does what are example domains used for work","weight":0.13,"category":"content","severity":"weak"},{"key":"https","label":"HTTPS","score":1,"detail":"Page served over HTTPS.","remedy":null,"weight":0.25,"category":"trust","severity":"ok"},{"key":"canonical","label":"Canonical URL","score":0,"detail":"No canonical link element.","remedy":"Add `<link rel=\"canonical\" href=\"...\">`. Engines use it to de-duplicate competing URLs for the same content.","weight":0.15,"category":"trust","severity":"weak"},{"key":"viewport","label":"Mobile-friendly viewport","score":1,"detail":"Viewport meta tag present.","remedy":null,"weight":0.15,"category":"trust","severity":"ok"},{"key":"twitter-card","label":"Twitter Card","score":0.3,"detail":"No Twitter Card — secondary signal but easy to add.","remedy":"Add `<meta name=\"twitter:card\" content=\"summary_large_image\">` and the matching title/description/image.","weight":0.1,"category":"trust","severity":"weak"},{"key":"meta-description","label":"Meta description","score":0,"detail":"No meta description.","remedy":"Add a `<meta name=\"description\">` summarising the page in 120-160 characters.","weight":0.35,"category":"trust","severity":"weak"},{"key":"ai-bot-access","label":"AI retrieval-bot access (robots.txt)","score":1,"detail":"robots.txt allows all AI retrieval bots — your pages are eligible for citation.","remedy":null,"weight":0.12,"category":"trust","severity":"ok"},{"key":"llms-txt-presence","label":"llms.txt present at /llms.txt","score":0,"detail":"No /llms.txt found. Adoption is ~10% in 2026; presence is a recognized AI-readiness signal.","remedy":"Add a spec-compliant /llms.txt at the site root. Use VectorCite's generator at /audit/llms-txt — free, no signup. Anthropic's Claude and the major IDE coding agents fetch it for retrieval.","weight":0.08,"category":"trust","severity":"weak"},{"key":"first-person","label":"First-person language","score":1,"detail":"1 first-person pronouns (0.8% of words). Target 0.5-3%.","remedy":null,"weight":0.1,"category":"eeat","severity":"ok"},{"key":"case-study-evidence","label":"Case study / concrete examples","score":0,"detail":"0 case-study patterns matched (examples, results, hands-on phrases).","remedy":"Add at least 2-3 concrete examples or mini-case-studies. \"We helped X achieve Y\" beats abstract claims; AI engines preferentially cite pages with measurable outcomes.","weight":0.1,"category":"eeat","severity":"absent"},{"key":"author-credentials","label":"Author bio with credentials","score":0,"detail":"No `.author-bio` / `[itemprop=\"author\"]` element found.","remedy":"Add an author-bio section with the author's name, role, and credentials (degree, years of experience, certifications).","weight":0.13,"category":"eeat","severity":"absent"},{"key":"byline-depth","label":"Byline depth (link + reviewer + date)","score":0.2,"detail":"no linked byline, no reviewer, date ✓","remedy":"Strengthen the byline: link author name to an author profile page; add \"reviewed by\" / \"edited by\" markup; mark published + modified dates explicitly.","weight":0.08,"category":"eeat","severity":"absent"},{"key":"brand-entity","label":"Brand recognized as Wikidata entity","score":1,"detail":"Wikidata: Q242540 — standards organization overseeing IP addresses","remedy":null,"weight":0.16,"category":"eeat","severity":"ok"},{"key":"press-mentions","label":"Press / media mentions","score":0,"detail":"0 press-mention pattern(s) matched.","remedy":"Add a \"Featured in\" / \"As seen in\" strip listing publications that have covered you. External recognition is a top authority signal.","weight":0.11,"category":"eeat","severity":"absent"},{"key":"privacy-terms","label":"Privacy + Terms links","score":1,"detail":"Privacy ✓, Terms ✓.","remedy":null,"weight":0.13,"category":"eeat","severity":"ok"},{"key":"contact-info","label":"Contact information","score":0.5,"detail":"email ✗, phone ✓, address ✗, contact link ✓","remedy":"Expose verifiable contact info: an email link, a phone number, and ideally a physical address marked up with `<address>` or `itemprop=\"address\"`. Anonymous sites read as low-trust.","weight":0.13,"category":"eeat","severity":"weak"}],"summary":{"ok":18,"weak":10,"total":47,"absent":19},"categories":[{"score":50,"signals":[{"key":"json-ld-presence","label":"JSON-LD structured data","score":0,"detail":"No JSON-LD blocks found. Answer engines key off schema.org markup to ground citations.","remedy":"Add at least one schema.org JSON-LD block — Article, Product, FAQPage, or HowTo are the highest-lift types.","weight":0.13,"category":"structure","severity":"absent"},{"key":"json-ld-validity","label":"JSON-LD validity","score":1,"detail":"No JSON-LD blocks to validate (the presence signal covers that).","remedy":null,"weight":0.1,"category":"structure","severity":"ok"},{"key":"json-ld-relevance","label":"Schema type matches query intent","score":0,"detail":"No schema types — for a informational query, add one of: Article, BlogPosting, FAQPage, HowTo.","remedy":"Add a Article JSON-LD block — the highest-leverage schema type for a \"what are example domains used for\" query.","weight":0.12,"category":"structure","severity":"absent"},{"key":"faq-schema","label":"FAQ / Q&A schema","score":0,"detail":"No FAQPage / QAPage schema — AI Overviews preferentially cite pages exposing structured Q&A.","remedy":"Add a FAQPage schema with 3-5 questions buyers actually ask. The single most direct path to AI Overview citation.","weight":0.1,"category":"structure","severity":"absent"},{"key":"h1-quality","label":"H1 quality","score":0.6,"detail":"H1: \"Example Domains\" (15 chars).","remedy":"Adjust H1 length to 20-80 chars — shorter than 20 lacks context, longer than 80 loses retrieval focus.","weight":0.1,"category":"structure","severity":"weak"},{"key":"h2-coverage","label":"H2 subtopic coverage","score":0.25,"detail":"1 H2 heading — answer engines decompose a buyer query into subtopics and match each to an H2.","remedy":"Break the page into at least 4 H2 sections, each answering one aspect of the buyer query. Engines surface specific H2s as citations.","weight":0.09,"category":"structure","severity":"absent"},{"key":"lists","label":"Lists (bulleted / numbered)","score":1,"detail":"8 lists found.","remedy":null,"weight":0.08,"category":"structure","severity":"ok"},{"key":"tables","label":"Comparison tables","score":1,"detail":"1 table found — strong AEO signal.","remedy":null,"weight":0.07,"category":"structure","severity":"ok"},{"key":"alt-text","label":"Image alt-text coverage","score":1,"detail":"1 of 1 images have alt text (100%).","remedy":null,"weight":0.05,"category":"structure","severity":"ok"},{"key":"open-graph","label":"Open Graph metadata","score":0,"detail":"Open Graph: title ✗, desc ✗, image ✗.","remedy":"Add og:title, og:description, og:image meta tags. AI engines use OG for the cited preview card.","weight":0.06,"category":"structure","severity":"absent"},{"key":"internal-linking","label":"Internal linking quality","score":0.9851851851851852,"detail":"27 internal links (26 with descriptive anchors), 4 external.","remedy":null,"weight":0.08,"category":"structure","severity":"ok"},{"key":"page-weight","label":"Page weight + render-blocking","score":0.8,"detail":"6 KB HTML, 1 blocking script(s), 1 blocking stylesheet(s), 1/1 images without lazy-load.","remedy":null,"weight":0.06,"category":"structure","severity":"ok"},{"key":"structural-depth","label":"GEO-SFE structural depth (macro/meso/micro)","score":0.64,"detail":"Macro: max heading depth H2 (H1=1, H2=1, H3=0, H4=0). Meso: 25.0 chunks/section avg. Micro: 0.00% visual emphasis.","remedy":"Three-level structural depth (validated +17.3% citation lift, GEO-SFE arXiv:2603.29979): use H1→H2→H3 hierarchy, 5+ paragraphs/lists per H2 section, and 1-5% visual emphasis (bold/italic/code) to flag retrieval-worthy spans.","weight":0.1,"category":"structure","severity":"weak"}],"category":"structure"},{"score":34,"signals":[{"key":"outbound-authority-links","label":"Outbound links to authoritative sources","score":0,"detail":"0 links to authoritative domains (.edu, .gov, named sources).","remedy":"Add 2-3 outbound citations to .edu / .gov / known publishers. The GEO paper measured this as the #2 citation-lift factor.","weight":0.16,"category":"authority","severity":"absent"},{"key":"citation-density","label":"Inline citations and attributions","score":0,"detail":"0 bracketed citations + 0 attribution phrases (per 200 words: 0%).","remedy":"Add inline citations ([1], [2]) or attribution phrases (\"according to X\"). GEO factor #1 for credibility-weighted citation.","weight":0.14,"category":"authority","severity":"absent"},{"key":"statistic-density","label":"Statistic density","score":1,"detail":"5 numerical facts (~4.2 per 100 words).","remedy":null,"weight":0.13,"category":"authority","severity":"ok"},{"key":"quotations","label":"Expert quotations","score":0,"detail":"0 blockquotes + 0 long inline quotes.","remedy":"Include at least one direct quote from a named expert, ideally in a <blockquote>. Quote-rich pages are 28% more likely to be cited (GEO paper).","weight":0.11,"category":"authority","severity":"absent"},{"key":"author-byline","label":"Author byline","score":0,"detail":"No author byline. E-E-A-T penalises anonymous content.","remedy":"Add a visible author byline (a `<div class=\"byline\">` or `[rel=\"author\"]`) AND a `<meta name=\"author\">` tag.","weight":0.1,"category":"authority","severity":"absent"},{"key":"date-markup","label":"Publish + update date markup","score":0.6,"detail":"Published date present; modified date missing.","remedy":"Add `<time datetime=\"...\">` for published date AND a `<meta property=\"article:modified_time\">` for updates.","weight":0.09,"category":"authority","severity":"weak"},{"key":"freshness","label":"Content freshness","score":0.1,"detail":"Newest date marker is 3374 days old.","remedy":"Update the page (and bump the modified date). Engines apply a freshness boost <90 days; content older than 1 year ranks at 60% of fresh.","weight":0.13,"category":"authority","severity":"absent"},{"key":"technical-terms","label":"Technical / domain vocabulary","score":1,"detail":"31 multi-syllable words (~26.3% of total).","remedy":null,"weight":0.14,"category":"authority","severity":"ok"}],"category":"authority"},{"score":45,"signals":[{"key":"direct-answer","label":"Direct answer in the lead","score":0.8333333333333334,"detail":"5 of 6 query terms appear in the first paragraph.","remedy":null,"weight":0.18,"category":"content","severity":"ok"},{"key":"query-coverage","label":"Query-term coverage","score":0.8333333333333334,"detail":"83% of query terms appear somewhere on the page.","remedy":null,"weight":0.15,"category":"content","severity":"ok"},{"key":"entity-coverage","label":"Named-entity coverage","score":0.7,"detail":"7 distinct proper-noun entities mentioned.","remedy":null,"weight":0.14,"category":"content","severity":"ok"},{"key":"readability","label":"Readability (Flesch Reading Ease)","score":0.2,"detail":"Reading-ease score: 37.9 (target 60-70).","remedy":"Page reads too academic — shorter sentences and simpler vocabulary lift citation rate by ~12% (GEO §4.3).","weight":0.11,"category":"content","severity":"absent"},{"key":"length","label":"Content depth","score":0,"detail":"118 words. Target 300-2500 — engines bias toward focused depth.","remedy":"Page is too short. Expand to at least 500 words covering the query in depth.","weight":0.1,"category":"content","severity":"absent"},{"key":"info-density","label":"Information density","score":0.3,"detail":"Unique-word ratio: 72.9% (target 40-60%).","remedy":"Vocabulary varies too wildly — content may lack topical focus. Engines prefer focused pages.","weight":0.1,"category":"content","severity":"weak"},{"key":"definitions","label":"Definitional sentences","score":0,"detail":"0 definitional sentences.","remedy":"Include definitional sentences (\"X is...\", \"X refers to...\"). Engines specifically extract definitions for AI Overview snippets.","weight":0.1,"category":"content","severity":"absent"},{"key":"bluf-answer","label":"BLUF — answer in first 100 words","score":0.8833333333333333,"detail":"First 100 words cover 5/6 query terms + definitional phrase ✓.","remedy":null,"weight":0.16,"category":"content","severity":"ok"},{"key":"mega-page-coverage","label":"Mega-page coverage (what/who/how/pricing)","score":0,"detail":"0/4 facets covered (what ✗, who ✗, how ✗, pricing ✗).","remedy":"Cover what / who / how / pricing in the same URL. Chatoptic's 75k-page study found the top 4.8% of repeatedly-cited pages share this single-URL completeness.","weight":0.14,"category":"content","severity":"absent"},{"key":"youtube-embed","label":"YouTube video presence","score":0,"detail":"No YouTube presence.","remedy":"Embed (or link to) a YouTube video covering this topic. Ahrefs's 75k-brand study measured YouTube as the SINGLE strongest correlation (0.737) with AI citation across ChatGPT, AI Mode, and AI Overviews.","weight":0.13,"category":"content","severity":"absent"},{"key":"sub-query-coverage","label":"Sub-query coverage","score":0.6666666666666666,"detail":"2/3 decomposed sub-questions addressed on the page.","remedy":"Cover the sub-questions buyers actually ask along with the seed query. Currently failing on: how does what are example domains used for work","weight":0.13,"category":"content","severity":"weak"}],"category":"content"},{"score":46,"signals":[{"key":"https","label":"HTTPS","score":1,"detail":"Page served over HTTPS.","remedy":null,"weight":0.25,"category":"trust","severity":"ok"},{"key":"canonical","label":"Canonical URL","score":0,"detail":"No canonical link element.","remedy":"Add `<link rel=\"canonical\" href=\"...\">`. Engines use it to de-duplicate competing URLs for the same content.","weight":0.15,"category":"trust","severity":"weak"},{"key":"viewport","label":"Mobile-friendly viewport","score":1,"detail":"Viewport meta tag present.","remedy":null,"weight":0.15,"category":"trust","severity":"ok"},{"key":"twitter-card","label":"Twitter Card","score":0.3,"detail":"No Twitter Card — secondary signal but easy to add.","remedy":"Add `<meta name=\"twitter:card\" content=\"summary_large_image\">` and the matching title/description/image.","weight":0.1,"category":"trust","severity":"weak"},{"key":"meta-description","label":"Meta description","score":0,"detail":"No meta description.","remedy":"Add a `<meta name=\"description\">` summarising the page in 120-160 characters.","weight":0.35,"category":"trust","severity":"weak"},{"key":"ai-bot-access","label":"AI retrieval-bot access (robots.txt)","score":1,"detail":"robots.txt allows all AI retrieval bots — your pages are eligible for citation.","remedy":null,"weight":0.12,"category":"trust","severity":"ok"},{"key":"llms-txt-presence","label":"llms.txt present at /llms.txt","score":0,"detail":"No /llms.txt found. Adoption is ~10% in 2026; presence is a recognized AI-readiness signal.","remedy":"Add a spec-compliant /llms.txt at the site root. Use VectorCite's generator at /audit/llms-txt — free, no signup. Anthropic's Claude and the major IDE coding agents fetch it for retrieval.","weight":0.08,"category":"trust","severity":"weak"}],"category":"trust"},{"score":50,"signals":[{"key":"first-person","label":"First-person language","score":1,"detail":"1 first-person pronouns (0.8% of words). Target 0.5-3%.","remedy":null,"weight":0.1,"category":"eeat","severity":"ok"},{"key":"case-study-evidence","label":"Case study / concrete examples","score":0,"detail":"0 case-study patterns matched (examples, results, hands-on phrases).","remedy":"Add at least 2-3 concrete examples or mini-case-studies. \"We helped X achieve Y\" beats abstract claims; AI engines preferentially cite pages with measurable outcomes.","weight":0.1,"category":"eeat","severity":"absent"},{"key":"author-credentials","label":"Author bio with credentials","score":0,"detail":"No `.author-bio` / `[itemprop=\"author\"]` element found.","remedy":"Add an author-bio section with the author's name, role, and credentials (degree, years of experience, certifications).","weight":0.13,"category":"eeat","severity":"absent"},{"key":"byline-depth","label":"Byline depth (link + reviewer + date)","score":0.2,"detail":"no linked byline, no reviewer, date ✓","remedy":"Strengthen the byline: link author name to an author profile page; add \"reviewed by\" / \"edited by\" markup; mark published + modified dates explicitly.","weight":0.08,"category":"eeat","severity":"absent"},{"key":"brand-entity","label":"Brand recognized as Wikidata entity","score":1,"detail":"Wikidata: Q242540 — standards organization overseeing IP addresses","remedy":null,"weight":0.16,"category":"eeat","severity":"ok"},{"key":"press-mentions","label":"Press / media mentions","score":0,"detail":"0 press-mention pattern(s) matched.","remedy":"Add a \"Featured in\" / \"As seen in\" strip listing publications that have covered you. External recognition is a top authority signal.","weight":0.11,"category":"eeat","severity":"absent"},{"key":"privacy-terms","label":"Privacy + Terms links","score":1,"detail":"Privacy ✓, Terms ✓.","remedy":null,"weight":0.13,"category":"eeat","severity":"ok"},{"key":"contact-info","label":"Contact information","score":0.5,"detail":"email ✗, phone ✓, address ✗, contact link ✓","remedy":"Expose verifiable contact info: an email link, a phone number, and ideally a physical address marked up with `<address>` or `itemprop=\"address\"`. Anonymous sites read as low-trust.","weight":0.13,"category":"eeat","severity":"weak"}],"category":"eeat"}]},"diagnostics":{"serp":{"ddg":false,"wikipedia":false},"embeddingsLoaded":false,"competitorsFetched":0},"serpContext":{"query":"what are example domains used for","results":[],"degraded":{"ddg":false,"wikipedia":false},"entities":[{"qid":"Q14296","url":"https://en.wikipedia.org/wiki/Top-level_domain","title":"Top-level domain","description":"A top-level domain (TLD) is one of the domains at the highest level in the hierarchical Domain Name System of the Internet after the root domain. The top-level domain names are installed in the root zone of the name space. For all domains in lower levels, it is the last part of t"},{"qid":"Q843200","url":"https://en.wikipedia.org/wiki/Subdomain","title":"Subdomain","description":"In the Domain Name System (DNS) hierarchy, a subdomain is a domain that is a part of another (main) domain. For example, if a domain offered an online store as part of their website example.com, it might use the subdomain shop.example.com."},{"qid":"Q756903","url":"https://en.wikipedia.org/wiki/Internationalized_domain_name","title":"Internationalized domain name","description":"An internationalized domain name (IDN) is an Internet domain name that contains at least one label displayed in software applications, in whole or in part, in non-Latin script or alphabet or in the Latin alphabet-based characters with diacritics or ligatures. These writing system"}]},"semanticVoid":[],"centroidShift":null,"citationVerdict":{"rank":null,"cited":false,"cohort":0,"margin":0},"retrievalRanking":[]}}