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vectorcite.digiocular.com

Record tVNaIZ3bk · Oct 14, 2026

for “free AEO audit tool”

Not in Claude's answer. One live answer, Oct 14, 2026, 11:16 UTC.

Not found

63/100 readiness

Good readiness, with closable gaps

How ready the page is to be cited, across 47 signals. Readiness, not a citation count.

What Claude answered

Claude's answer doesn't include your site.

vectorcite.digiocular.com isn't among the 9 pages its search returned or the 5 it cited.

Not named in the answer.

Claude’s answer to “free AEO audit tool”

Several free AEO audit tools are available. Here are the main options, with what each does:

  1. 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.

One answer from Claude Haiku 5.5 with web search, Oct 14, 2026, 11:16 UTC. Answers change from run to run, so treat this as a sample, not a ranking.

How your page compares

Your page and the pages Claude cited for “free AEO audit tool”, ranked by our retrieval model. It’s a simulation of how an engine might order them; the observed answer is above.

Relevance is matched with Google's Gemini embeddings, alongside wording, site authority and freshness.

  1. 1Why We Built a Free AEO Audit Tool for AssociationsCitedhttps://kabloom-agency.com/blog/free-aeo-audit-tool-for-association-growth/69.8
  2. 2Free AEO Audit Tool - Answer Engine Optimization CheckerCitedhttps://chudi.dev/tools/aeo-audit67.5
  3. 3Free AEO Audit Tool · Get the Fix, Not Just the ScoreCitedhttps://solcrys.com/free-aeo-audit/60.4
  4. 4VectorCite · Get Your Pages Cited by AI Answer EnginesYour pagehttps://vectorcite.digiocular.com43.1

Readiness, signal by signal

47 signals, each measured from the page itself: 31 pass, 5 weak, 11 missing. Open any signal for the detail and the fix. Every signal is documented in the rubric.

Structure

90/100
  • JSON-LD structured data90

    3 JSON-LD blocks found.

  • JSON-LD validity100

    3 of 3 JSON-LD blocks parse cleanly.

  • Schema type matches query intent100

    Schema types include a informational-intent type (FAQPage).

  • FAQ / Q&A schema100

    FAQPage / QAPage schema present: directly cited by AI Overviews and Perplexity.

  • H1 quality100

    H1: "Be the sourceAI engines cite." (29 chars).

  • H2 subtopic coverage100

    9 H2 headings: answer engines decompose a buyer query into subtopics and match each to an H2.

  • Lists (bulleted / numbered)90

    4 lists found.

  • Comparison tables50

    No tables. Comparison / specification tables are heavily cited for product and technical queries.

  • Image alt-text coverage100

    1 of 1 images have alt text (100%).

  • Open Graph metadata100

    Open Graph title, description, and image all present.

  • Internal linking quality80

    38 internal links (36 with descriptive anchors), 6 external.

  • Page weight + render-blocking80

    73 KB HTML, 1 blocking script(s), 1 blocking stylesheet(s), 1/1 images without lazy-load.

  • GEO-SFE structural depth (macro/meso/micro)68

    Macro: max heading depth H3 (H1=1, H2=9, H3=8, H4=0). Meso: 3.2 chunks/section avg. Micro: 0.00% visual emphasis.

    Fix: 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.

Authority

37/100
  • Outbound links to authoritative sources0

    0 links to authoritative domains (.edu, .gov, named sources).

    Fix: Add 2-3 outbound citations to .edu / .gov / known publishers. The GEO paper measured this as the #2 citation-lift factor.

  • Inline citations and attributions0

    0 bracketed citations + 0 attribution phrases (per 200 words: 0%).

    Fix: Add inline citations ([1], [2]) or attribution phrases ("according to X"). GEO factor #1 for credibility-weighted citation.

  • Statistic density100

    15 numerical facts (~1.9 per 100 words).

  • Expert quotations0

    0 blockquotes + 0 long inline quotes.

    Fix: 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).

  • Author byline100

    Author byline present in both meta and visible markup.

  • Publish + update date markup0

    No structured publish date. Freshness ranking can't be applied.

    Fix: Add `<time datetime="...">` for published date AND a `<meta property="article:modified_time">` for updates.

  • Content freshness0

    No parseable date: engines treat undated content as stale.

    Fix: Add a parseable date: `<time datetime="2026-01-15">` or `<meta property="article:modified_time">`.

  • Technical / domain vocabulary100

    157 multi-syllable words (~20.3% of total).

Content

66/100
  • Direct answer in the lead0

    0 of 4 query terms appear in the first paragraph.

    Fix: Open the page with a direct, complete answer to the buyer query: engines extract their citation snippet from the lead paragraph.

  • Query-term coverage100

    100% of query terms appear somewhere on the page.

  • Named-entity coverage100

    66 distinct proper-noun entities mentioned.

  • Readability (Flesch Reading Ease)100

    Reading-ease score: 62.2 (target 60-70).

  • Content depth100

    773 words. Target 300-2500: engines bias toward focused depth.

  • Information density100

    Unique-word ratio: 52.0% (target 40-60%).

  • Definitional sentences100

    7 definitional sentences.

  • BLUF — answer in first 100 words30

    First 100 words cover 0/4 query terms + definitional phrase ✓.

    Fix: 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.

  • Mega-page coverage (what/who/how/pricing)50

    2/4 facets covered (what ✓, who ✗, how ✗, pricing ✓).

    Fix: 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.

  • YouTube video presence0

    No YouTube presence.

    Fix: 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.

  • Sub-query coverage100

    4/4 decomposed sub-questions addressed on the page.

Trust

100/100
  • HTTPS100

    Page served over HTTPS.

  • Canonical URL100

    Canonical: https://vectorcite.digiocular.com

  • Mobile-friendly viewport100

    Viewport meta tag present.

  • Twitter Card100

    Twitter Card metadata present.

  • Meta description100

    Meta description: 252 chars (target 50-160).

  • AI crawler access (robots.txt)100

    robots.txt lets every AI search and answer crawler fetch this page.

  • llms.txt present at /llms.txt100

    /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.

E-E-A-T

33/100
  • First-person language100

    4 first-person pronouns (0.5% of words). Target 0.5-3%.

  • Case study / concrete examples0

    0 case-study patterns matched (examples, results, hands-on phrases).

    Fix: 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.

  • Author bio with credentials0

    No `.author-bio` / `[itemprop="author"]` element found.

    Fix: Add an author-bio section with the author's name, role, and credentials (degree, years of experience, certifications).

  • Byline depth (link + reviewer + date)50

    linked byline ✓, no reviewer, no date

    Fix: Strengthen the byline: link author name to an author profile page; add "reviewed by" / "edited by" markup; mark published + modified dates explicitly.

  • Brand recognized as Wikidata entity0

    No Wikidata entry matched. AI engines preferentially cite brands they recognize as knowledge-graph entities.

    Fix: 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.

  • Press / media mentions0

    0 press-mention pattern(s) matched.

    Fix: Add a "Featured in" / "As seen in" strip listing publications that have covered you. External recognition is a top authority signal.

  • Privacy + Terms links100

    Privacy ✓, Terms ✓.

  • Contact information30

    email ✓, phone ✗, address ✗, no contact link

    Fix: 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.

The Fix Kit

Good readiness, with closable gaps (63/100): 6 patches to close the gaps. Paste-ready patches, filled from what your page already states. Anything in [brackets] is yours to fill in before publishing.

GEO-SFE structural depth (macro/meso/micro)

Page structure · Medium priority

Macro: max heading depth H3 (H1=1, H2=9, H3=8, H4=0). Meso: 3.2 chunks/section avg. Micro: 0.00% visual emphasis.

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.

Outbound links to authoritative sources

Page structure · High priority

0 links to authoritative domains (.edu, .gov, named sources).

Add 2-3 outbound citations to .edu / .gov / known publishers. The GEO paper measured this as the #2 citation-lift factor.

Inline citations and attributions

Page structure · High priority

0 bracketed citations + 0 attribution phrases (per 200 words: 0%). Replace every [bracketed] value before publishing.

Add inline citations ([1], [2]) or attribution phrases ("according to X"). GEO factor #1 for credibility-weighted citation.

Expert quotations

Page structure · High priority

0 blockquotes + 0 long inline quotes.

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).

Publish + update date markup

Page structure · High priority

No structured publish date. Freshness ranking can't be applied.

Add `<time datetime="...">` for published date AND a `<meta property="article:modified_time">` for updates.

Content freshness

Page structure · High priority

No parseable date: engines treat undated content as stale.

Add a parseable date: `<time datetime="2026-01-15">` or `<meta property="article:modified_time">`.

Rather not ship these yourself?

The Digiocular team can make the changes and check the answer again with you.

See done-for-you

Close the gap, then check again.

The console re-checks the questions you track on a schedule, keeps the history, and tells you whether a fix moved the answer. Or run another free check now.

Re-check schedule

  1. Not found63/100 readiness
  2. OpenRe-check after you ship the fixes

Audit by VectorCite · vectorcite.digiocular.com