{"slug":"tVNaIZ3bk","url":"https://vectorcite.digiocular.com","query":"free AEO audit tool","score":63,"createdAt":"Wed Oct 14 2026 11:16:45 GMT+0000 (Coordinated Universal Time)","result":{"liveCheck":{"model":"claude-haiku-5-5","answer":"Several free AEO audit tools are available. Here are the main options, with what each does:\n\n1. **chudi.dev AEO Audit**: Runs six automated checks on a domain, covering AI crawler access in robots.txt, llms.txt, structured data, content extractability, metadata, and answer-ready formatting. It takes about a minute and needs no signup. Enter any domain and get a full 6-check score with no signup.\n\n2. **Kabloom Agency AEO Audit (aeoaudit.kabloom-agency.com)**: Scores a single web page on eighteen checks, each returning a pass, warning, or fail with a suggested fix, plus a downloadable PDF. It was built with associations in mind. It requires no account and returns a full report plus a downloadable PDF in under two minutes.\n\n3. **Solcrys Free AEO Audit**: Checks 40+ signals grouped into content quality, credibility, technical readability, and discoverability, and includes the specific fix for each finding. Free workspace, no credit card.\n\n4. **aeo.page AEO Audit**: Gives a readiness score for ChatGPT, Perplexity, Gemini, and AI Overviews with prioritized fixes. It has a We'll email you a copy of the full report. option.\n\n5. **Agenxus AEO Audit**: A 42-point check covering AI crawler access, E-E-A-T signals, extractability, and schema. Its free tier is limited to up to 20 pages.\n\n6. **AI Advantage Agency AEO Audit**: A 25-question self-assessment scored out of 100 across five categories. It's useful for seeing where your business is missing from AI answers, though it's a questionnaire rather than a site scan.\n\n7. **AirankLab SEO/AEO/GEO Audit**: Combines SEO, AEO, and GEO analysis in one scan. It's a broader tool, not AEO-specific.\n\nFor a quick technical check, start with chudi.dev. For page-level fixes, try Solcrys or Kabloom. Free tiers and check counts change often, so confirm the current scope on each site before relying on the results.","engine":"anthropic","status":"answered","analysis":{"outcome":"not-found","matchedTerm":null,"citedDomains":[{"own":false,"count":1,"domain":"aeo.page"},{"own":false,"count":1,"domain":"agenxus.com"},{"own":false,"count":1,"domain":"chudi.dev"},{"own":false,"count":1,"domain":"kabloom-agency.com"},{"own":false,"count":1,"domain":"solcrys.com"}],"ownCitations":[],"brandMentioned":false,"firstMentionAt":null},"checkedAt":"2026-10-14T11:16:36.421Z","citations":[{"url":"https://chudi.dev/tools/aeo-audit","title":"Free AEO Audit Tool - Answer Engine Optimization Checker"},{"url":"https://kabloom-agency.com/blog/free-aeo-audit-tool-for-association-growth/","title":"Why We Built a Free AEO Audit Tool for Associations"},{"url":"https://solcrys.com/free-aeo-audit/","title":"Free AEO Audit Tool — Get the Fix, Not Just the Score"},{"url":"https://aeo.page/free-aeo-audit/","title":"AEO Audit Tool — Free AEO Audit of Your Site in 30 Seconds [2026]"},{"url":"https://agenxus.com/tools/aeo-audit","title":"AEO Audit - 42-Point AI Search Visibility Analysis"}],"retrieved":["https://chudi.dev/tools/aeo-audit","https://kabloom-agency.com/blog/free-aeo-audit-tool-for-association-growth/","https://solcrys.com/free-aeo-audit/","https://www.airanklab.com/seo-aeo-geo-audit-tool","https://contextlyai.com/","https://aeo.page/free-aeo-audit/","https://aeoengine.ai/aeo-report","https://agenxus.com/tools/aeo-audit","https://aiadvantageagency.com/free-aeo-audit-tool/"],"engineLabel":"Claude"},"liveEngines":[],"rubric":{"overall":63,"summary":{"ok":31,"weak":5,"absent":11,"total":47},"categories":[{"category":"structure","score":90,"signals":[{"key":"json-ld-presence","category":"structure","label":"JSON-LD structured data","score":0.9,"severity":"ok","detail":"3 JSON-LD blocks found.","remedy":null},{"key":"json-ld-validity","category":"structure","label":"JSON-LD validity","score":1,"severity":"ok","detail":"3 of 3 JSON-LD blocks parse cleanly.","remedy":null},{"key":"json-ld-relevance","category":"structure","label":"Schema type matches query intent","score":1,"severity":"ok","detail":"Schema types include a informational-intent type (FAQPage).","remedy":null},{"key":"faq-schema","category":"structure","label":"FAQ / Q&A schema","score":1,"severity":"ok","detail":"FAQPage / QAPage schema present — directly cited by AI Overviews and Perplexity.","remedy":null},{"key":"h1-quality","category":"structure","label":"H1 quality","score":1,"severity":"ok","detail":"H1: \"Be the sourceAI engines cite.\" (29 chars).","remedy":null},{"key":"h2-coverage","category":"structure","label":"H2 subtopic coverage","score":1,"severity":"ok","detail":"9 H2 headings — answer engines decompose a buyer query into subtopics and match each to an H2.","remedy":null},{"key":"lists","category":"structure","label":"Lists (bulleted / numbered)","score":0.9,"severity":"ok","detail":"4 lists found.","remedy":null},{"key":"tables","category":"structure","label":"Comparison tables","score":0.5,"severity":"ok","detail":"No tables. Comparison / specification tables are heavily cited for product and technical queries.","remedy":null},{"key":"alt-text","category":"structure","label":"Image alt-text coverage","score":1,"severity":"ok","detail":"1 of 1 images have alt text (100%).","remedy":null},{"key":"open-graph","category":"structure","label":"Open Graph metadata","score":1,"severity":"ok","detail":"Open Graph title, description, and image all present.","remedy":null},{"key":"internal-linking","category":"structure","label":"Internal linking quality","score":0.7989473684210526,"severity":"ok","detail":"38 internal links (36 with descriptive anchors), 6 external.","remedy":null},{"key":"page-weight","category":"structure","label":"Page weight + render-blocking","score":0.8,"severity":"ok","detail":"73 KB HTML, 1 blocking script(s), 1 blocking stylesheet(s), 1/1 images without lazy-load.","remedy":null},{"key":"structural-depth","category":"structure","label":"GEO-SFE structural depth (macro/meso/micro)","score":0.6799999999999999,"severity":"weak","detail":"Macro: max heading depth H3 (H1=1, H2=9, H3=8, H4=0). Meso: 3.2 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."}]},{"category":"authority","score":37,"signals":[{"key":"outbound-authority-links","category":"authority","label":"Outbound links to authoritative sources","score":0,"severity":"absent","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."},{"key":"citation-density","category":"authority","label":"Inline citations and attributions","score":0,"severity":"absent","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."},{"key":"statistic-density","category":"authority","label":"Statistic density","score":1,"severity":"ok","detail":"15 numerical facts (~1.9 per 100 words).","remedy":null},{"key":"quotations","category":"authority","label":"Expert quotations","score":0,"severity":"absent","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)."},{"key":"author-byline","category":"authority","label":"Author byline","score":1,"severity":"ok","detail":"Author byline present in both meta and visible markup.","remedy":null},{"key":"date-markup","category":"authority","label":"Publish + update date markup","score":0,"severity":"absent","detail":"No structured publish date. Freshness ranking can't be applied.","remedy":"Add `<time datetime=\"...\">` for published date AND a `<meta property=\"article:modified_time\">` for updates."},{"key":"freshness","category":"authority","label":"Content freshness","score":0,"severity":"absent","detail":"No parseable date — engines treat undated content as stale.","remedy":"Add a parseable date — `<time datetime=\"2026-01-15\">` or `<meta property=\"article:modified_time\">`."},{"key":"technical-terms","category":"authority","label":"Technical / domain vocabulary","score":1,"severity":"ok","detail":"157 multi-syllable words (~20.3% of total).","remedy":null}]},{"category":"content","score":66,"signals":[{"key":"direct-answer","category":"content","label":"Direct answer in the lead","score":0,"severity":"absent","detail":"0 of 4 query terms appear in the first paragraph.","remedy":"Open the page with a direct, complete answer to the buyer query — engines extract their citation snippet from the lead paragraph."},{"key":"query-coverage","category":"content","label":"Query-term coverage","score":1,"severity":"ok","detail":"100% of query terms appear somewhere on the page.","remedy":null},{"key":"entity-coverage","category":"content","label":"Named-entity coverage","score":1,"severity":"ok","detail":"66 distinct proper-noun entities mentioned.","remedy":null},{"key":"readability","category":"content","label":"Readability (Flesch Reading Ease)","score":1,"severity":"ok","detail":"Reading-ease score: 62.2 (target 60-70).","remedy":null},{"key":"length","category":"content","label":"Content depth","score":1,"severity":"ok","detail":"773 words. Target 300-2500 — engines bias toward focused depth.","remedy":null},{"key":"info-density","category":"content","label":"Information density","score":1,"severity":"ok","detail":"Unique-word ratio: 52.0% (target 40-60%).","remedy":null},{"key":"definitions","category":"content","label":"Definitional sentences","score":1,"severity":"ok","detail":"7 definitional sentences.","remedy":null},{"key":"bluf-answer","category":"content","label":"BLUF — answer in first 100 words","score":0.3,"severity":"weak","detail":"First 100 words cover 0/4 query terms + definitional phrase ✓.","remedy":"Put the answer in the FIRST 100 words — Perplexity's pipeline summarizes that exact span before reranking. \"BLUF\" (bottom-line-up-front) is the format that wins."},{"key":"mega-page-coverage","category":"content","label":"Mega-page coverage (what/who/how/pricing)","score":0.5,"severity":"weak","detail":"2/4 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."},{"key":"youtube-embed","category":"content","label":"YouTube video presence","score":0,"severity":"absent","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."},{"key":"sub-query-coverage","category":"content","label":"Sub-query coverage","score":1,"severity":"ok","detail":"4/4 decomposed sub-questions addressed on the page.","remedy":null}]},{"category":"trust","score":100,"signals":[{"key":"https","category":"trust","label":"HTTPS","score":1,"severity":"ok","detail":"Page served over HTTPS.","remedy":null},{"key":"canonical","category":"trust","label":"Canonical URL","score":1,"severity":"ok","detail":"Canonical: https://vectorcite.digiocular.com","remedy":null},{"key":"viewport","category":"trust","label":"Mobile-friendly viewport","score":1,"severity":"ok","detail":"Viewport meta tag present.","remedy":null},{"key":"twitter-card","category":"trust","label":"Twitter Card","score":1,"severity":"ok","detail":"Twitter Card metadata present.","remedy":null},{"key":"meta-description","category":"trust","label":"Meta description","score":1,"severity":"ok","detail":"Meta description: 252 chars (target 50-160).","remedy":null},{"key":"ai-bot-access","category":"trust","label":"AI crawler access (robots.txt)","score":1,"severity":"ok","detail":"robots.txt lets every AI search and answer crawler fetch this page.","remedy":null},{"key":"llms-txt-presence","category":"trust","label":"llms.txt present at /llms.txt","score":1,"severity":"ok","detail":"/llms.txt found. Informational only — SE Ranking's study of ~300,000 domains (Nov 2025) found llms.txt doesn't affect how AI systems see or cite pages, so it carries no weight in this score.","remedy":null}]},{"category":"eeat","score":33,"signals":[{"key":"first-person","category":"eeat","label":"First-person language","score":1,"severity":"ok","detail":"4 first-person pronouns (0.5% of words). Target 0.5-3%.","remedy":null},{"key":"case-study-evidence","category":"eeat","label":"Case study / concrete examples","score":0,"severity":"absent","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."},{"key":"author-credentials","category":"eeat","label":"Author bio with credentials","score":0,"severity":"absent","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)."},{"key":"byline-depth","category":"eeat","label":"Byline depth (link + reviewer + date)","score":0.5,"severity":"weak","detail":"linked byline ✓, no reviewer, no date","remedy":"Strengthen the byline: link author name to an author profile page; add \"reviewed by\" / \"edited by\" markup; mark published + modified dates explicitly."},{"key":"brand-entity","category":"eeat","label":"Brand recognized as Wikidata entity","score":0,"severity":"absent","detail":"No Wikidata entry matched. AI engines preferentially cite brands they recognize as knowledge-graph entities.","remedy":"Create a Wikidata entry for \"vectorcite\" (and a Wikipedia article when notable). The single highest-leverage move for \"is this a real, recognized brand?\" — answer engines key off knowledge graph membership."},{"key":"press-mentions","category":"eeat","label":"Press / media mentions","score":0,"severity":"absent","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."},{"key":"privacy-terms","category":"eeat","label":"Privacy + Terms links","score":1,"severity":"ok","detail":"Privacy ✓, Terms ✓.","remedy":null},{"key":"contact-info","category":"eeat","label":"Contact information","score":0.3,"severity":"weak","detail":"email ✓, phone ✗, address ✗, no 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."}]}],"signals":[{"key":"json-ld-presence","category":"structure","label":"JSON-LD structured data","score":0.9,"severity":"ok","detail":"3 JSON-LD blocks found.","remedy":null},{"key":"json-ld-validity","category":"structure","label":"JSON-LD validity","score":1,"severity":"ok","detail":"3 of 3 JSON-LD blocks parse cleanly.","remedy":null},{"key":"json-ld-relevance","category":"structure","label":"Schema type matches query intent","score":1,"severity":"ok","detail":"Schema types include a informational-intent type (FAQPage).","remedy":null},{"key":"faq-schema","category":"structure","label":"FAQ / Q&A schema","score":1,"severity":"ok","detail":"FAQPage / QAPage schema present — directly cited by AI Overviews and Perplexity.","remedy":null},{"key":"h1-quality","category":"structure","label":"H1 quality","score":1,"severity":"ok","detail":"H1: \"Be the sourceAI engines cite.\" (29 chars).","remedy":null},{"key":"h2-coverage","category":"structure","label":"H2 subtopic coverage","score":1,"severity":"ok","detail":"9 H2 headings — answer engines decompose a buyer query into subtopics and match each to an H2.","remedy":null},{"key":"lists","category":"structure","label":"Lists (bulleted / numbered)","score":0.9,"severity":"ok","detail":"4 lists found.","remedy":null},{"key":"tables","category":"structure","label":"Comparison tables","score":0.5,"severity":"ok","detail":"No tables. Comparison / specification tables are heavily cited for product and technical queries.","remedy":null},{"key":"alt-text","category":"structure","label":"Image alt-text coverage","score":1,"severity":"ok","detail":"1 of 1 images have alt text (100%).","remedy":null},{"key":"open-graph","category":"structure","label":"Open Graph metadata","score":1,"severity":"ok","detail":"Open Graph title, description, and image all present.","remedy":null},{"key":"internal-linking","category":"structure","label":"Internal linking quality","score":0.7989473684210526,"severity":"ok","detail":"38 internal links (36 with descriptive anchors), 6 external.","remedy":null},{"key":"page-weight","category":"structure","label":"Page weight + render-blocking","score":0.8,"severity":"ok","detail":"73 KB HTML, 1 blocking script(s), 1 blocking stylesheet(s), 1/1 images without lazy-load.","remedy":null},{"key":"structural-depth","category":"structure","label":"GEO-SFE structural depth (macro/meso/micro)","score":0.6799999999999999,"severity":"weak","detail":"Macro: max heading depth H3 (H1=1, H2=9, H3=8, H4=0). Meso: 3.2 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."},{"key":"outbound-authority-links","category":"authority","label":"Outbound links to authoritative sources","score":0,"severity":"absent","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."},{"key":"citation-density","category":"authority","label":"Inline citations and attributions","score":0,"severity":"absent","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."},{"key":"statistic-density","category":"authority","label":"Statistic density","score":1,"severity":"ok","detail":"15 numerical facts (~1.9 per 100 words).","remedy":null},{"key":"quotations","category":"authority","label":"Expert quotations","score":0,"severity":"absent","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)."},{"key":"author-byline","category":"authority","label":"Author byline","score":1,"severity":"ok","detail":"Author byline present in both meta and visible markup.","remedy":null},{"key":"date-markup","category":"authority","label":"Publish + update date markup","score":0,"severity":"absent","detail":"No structured publish date. Freshness ranking can't be applied.","remedy":"Add `<time datetime=\"...\">` for published date AND a `<meta property=\"article:modified_time\">` for updates."},{"key":"freshness","category":"authority","label":"Content freshness","score":0,"severity":"absent","detail":"No parseable date — engines treat undated content as stale.","remedy":"Add a parseable date — `<time datetime=\"2026-01-15\">` or `<meta property=\"article:modified_time\">`."},{"key":"technical-terms","category":"authority","label":"Technical / domain vocabulary","score":1,"severity":"ok","detail":"157 multi-syllable words (~20.3% of total).","remedy":null},{"key":"direct-answer","category":"content","label":"Direct answer in the lead","score":0,"severity":"absent","detail":"0 of 4 query terms appear in the first paragraph.","remedy":"Open the page with a direct, complete answer to the buyer query — engines extract their citation snippet from the lead paragraph."},{"key":"query-coverage","category":"content","label":"Query-term coverage","score":1,"severity":"ok","detail":"100% of query terms appear somewhere on the page.","remedy":null},{"key":"entity-coverage","category":"content","label":"Named-entity coverage","score":1,"severity":"ok","detail":"66 distinct proper-noun entities mentioned.","remedy":null},{"key":"readability","category":"content","label":"Readability (Flesch Reading Ease)","score":1,"severity":"ok","detail":"Reading-ease score: 62.2 (target 60-70).","remedy":null},{"key":"length","category":"content","label":"Content depth","score":1,"severity":"ok","detail":"773 words. Target 300-2500 — engines bias toward focused depth.","remedy":null},{"key":"info-density","category":"content","label":"Information density","score":1,"severity":"ok","detail":"Unique-word ratio: 52.0% (target 40-60%).","remedy":null},{"key":"definitions","category":"content","label":"Definitional sentences","score":1,"severity":"ok","detail":"7 definitional sentences.","remedy":null},{"key":"bluf-answer","category":"content","label":"BLUF — answer in first 100 words","score":0.3,"severity":"weak","detail":"First 100 words cover 0/4 query terms + definitional phrase ✓.","remedy":"Put the answer in the FIRST 100 words — Perplexity's pipeline summarizes that exact span before reranking. \"BLUF\" (bottom-line-up-front) is the format that wins."},{"key":"mega-page-coverage","category":"content","label":"Mega-page coverage (what/who/how/pricing)","score":0.5,"severity":"weak","detail":"2/4 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."},{"key":"youtube-embed","category":"content","label":"YouTube video presence","score":0,"severity":"absent","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."},{"key":"sub-query-coverage","category":"content","label":"Sub-query coverage","score":1,"severity":"ok","detail":"4/4 decomposed sub-questions addressed on the page.","remedy":null},{"key":"https","category":"trust","label":"HTTPS","score":1,"severity":"ok","detail":"Page served over HTTPS.","remedy":null},{"key":"canonical","category":"trust","label":"Canonical URL","score":1,"severity":"ok","detail":"Canonical: https://vectorcite.digiocular.com","remedy":null},{"key":"viewport","category":"trust","label":"Mobile-friendly viewport","score":1,"severity":"ok","detail":"Viewport meta tag present.","remedy":null},{"key":"twitter-card","category":"trust","label":"Twitter Card","score":1,"severity":"ok","detail":"Twitter Card metadata present.","remedy":null},{"key":"meta-description","category":"trust","label":"Meta description","score":1,"severity":"ok","detail":"Meta description: 252 chars (target 50-160).","remedy":null},{"key":"ai-bot-access","category":"trust","label":"AI crawler access (robots.txt)","score":1,"severity":"ok","detail":"robots.txt lets every AI search and answer crawler fetch this page.","remedy":null},{"key":"llms-txt-presence","category":"trust","label":"llms.txt present at /llms.txt","score":1,"severity":"ok","detail":"/llms.txt found. Informational only — SE Ranking's study of ~300,000 domains (Nov 2025) found llms.txt doesn't affect how AI systems see or cite pages, so it carries no weight in this score.","remedy":null},{"key":"first-person","category":"eeat","label":"First-person language","score":1,"severity":"ok","detail":"4 first-person pronouns (0.5% of words). Target 0.5-3%.","remedy":null},{"key":"case-study-evidence","category":"eeat","label":"Case study / concrete examples","score":0,"severity":"absent","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."},{"key":"author-credentials","category":"eeat","label":"Author bio with credentials","score":0,"severity":"absent","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)."},{"key":"byline-depth","category":"eeat","label":"Byline depth (link + reviewer + date)","score":0.5,"severity":"weak","detail":"linked byline ✓, no reviewer, no date","remedy":"Strengthen the byline: link author name to an author profile page; add \"reviewed by\" / \"edited by\" markup; mark published + modified dates explicitly."},{"key":"brand-entity","category":"eeat","label":"Brand recognized as Wikidata entity","score":0,"severity":"absent","detail":"No Wikidata entry matched. AI engines preferentially cite brands they recognize as knowledge-graph entities.","remedy":"Create a Wikidata entry for \"vectorcite\" (and a Wikipedia article when notable). The single highest-leverage move for \"is this a real, recognized brand?\" — answer engines key off knowledge graph membership."},{"key":"press-mentions","category":"eeat","label":"Press / media mentions","score":0,"severity":"absent","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."},{"key":"privacy-terms","category":"eeat","label":"Privacy + Terms links","score":1,"severity":"ok","detail":"Privacy ✓, Terms ✓.","remedy":null},{"key":"contact-info","category":"eeat","label":"Contact information","score":0.3,"severity":"weak","detail":"email ✓, phone ✗, address ✗, no 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."}]},"citationVerdict":{"rank":4,"cited":true,"cohort":4,"margin":0,"unavailableReason":null},"fixKit":{"headline":"Good readiness — closable gaps (63/100) — 6 patches to close the gaps","patches":[{"key":"structural-depth","title":"GEO-SFE structural depth (macro/meso/micro)","kind":"structure","priority":"medium","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.","explainer":"Macro: max heading depth H3 (H1=1, H2=9, H3=8, H4=0). Meso: 3.2 chunks/section avg. Micro: 0.00% visual emphasis."},{"key":"outbound-authority-links","title":"Outbound links to authoritative sources","kind":"structure","priority":"high","content":"Add 2-3 outbound citations to .edu / .gov / known publishers. The GEO paper measured this as the #2 citation-lift factor.","explainer":"0 links to authoritative domains (.edu, .gov, named sources)."},{"key":"citation-density","title":"Inline citations and attributions","kind":"structure","priority":"high","content":"Add inline citations ([1], [2]) or attribution phrases (\"according to X\"). GEO factor #1 for credibility-weighted citation.","explainer":"0 bracketed citations + 0 attribution phrases (per 200 words: 0%). Replace every [bracketed] value before publishing."},{"key":"quotations","title":"Expert quotations","kind":"structure","priority":"high","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).","explainer":"0 blockquotes + 0 long inline quotes."},{"key":"date-markup","title":"Publish + update date markup","kind":"structure","priority":"high","content":"Add `<time datetime=\"...\">` for published date AND a `<meta property=\"article:modified_time\">` for updates.","explainer":"No structured publish date. Freshness ranking can't be applied."},{"key":"freshness","title":"Content freshness","kind":"structure","priority":"high","content":"Add a parseable date — `<time datetime=\"2026-01-15\">` or `<meta property=\"article:modified_time\">`.","explainer":"No parseable date — engines treat undated content as stale."}]},"comparisonPages":[{"url":"https://chudi.dev/tools/aeo-audit","title":"Free AEO Audit Tool - Answer Engine Optimization Checker","rank":1},{"url":"https://kabloom-agency.com/blog/free-aeo-audit-tool-for-association-growth/","title":"Why We Built a Free AEO Audit Tool for Associations","rank":2},{"url":"https://solcrys.com/free-aeo-audit/","title":"Free AEO Audit Tool — Get the Fix, Not Just the Score","rank":3},{"url":"https://aeo.page/free-aeo-audit/","title":"AEO Audit Tool — Free AEO Audit of Your Site in 30 Seconds [2026]","rank":4},{"url":"https://agenxus.com/tools/aeo-audit","title":"AEO Audit - 42-Point AI Search Visibility Analysis","rank":5}]}}