digiocular.com

Record OwkKJ8Q9w · Oct 14, 2026

for “what does Digiocular do”

Claude cited your site. One live answer, Oct 14, 2026, 11:04 UTC.

Cited

66/100 readiness

Good readiness, with closable gaps

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

This week’s top fixesPredict the score CSV JSON View the page

What Claude answered

Claude cited your site.

All 2 sources behind its answer are on digiocular.com, including the page you audited.

Named early in the answer, as “digiocular”.

Claude’s answer to “what does Digiocular do”

Digiocular is most likely the digital agency based in Manila, Philippines. It sells AI-driven web and marketing services to clients abroad, and it also builds its own software products.

Sources it cited 2

Searched but not cited 7

Where the citations came from

Sites this answer cited, by number of citations: the pages to beat, or to be featured on.

digiocular.com2

What is citation share?

One answer from Claude Haiku 5.5 with web search, Oct 14, 2026, 11:04 UTC. Answers change from run to run, so treat this as a sample, not a ranking.

How your page compares

Your page, the pages Claude cited, and pages its search returned for “what does Digiocular do”, ranked by our retrieval model. It’s a simulation of how an engine might order them; the observed answer is above.

Semantic matching was unavailable for this audit, so the ranking used wording, site authority and freshness only.

1Digiocular · AI Agency · Websites, Web Apps & AutomationYour pagehttps://digiocular.com34.0
2GitHub - gyun-jin/DigiOcular · GitHubIn search resultshttps://github.com/gyun-jin/DigiOcular13.4
3DIGIC - WikipediaIn search resultshttps://en.wikipedia.org/wiki/DIGIC9.4
4Digiscoping - WikipediaIn search resultshttps://en.wikipedia.org/wiki/Digiscoping9.0

Readiness, signal by signal

47 signals, each measured from the page itself: 34 pass, 2 weak, 11 missing. Open any signal for the detail and the fix. Every signal is documented in the rubric.

Structure

89/100

JSON-LD structured data80
2 JSON-LD blocks found.
JSON-LD validity100
2 of 2 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: "A website thatwins customers." (29 chars).
H2 subtopic coverage100
8 H2 headings: answer engines decompose a buyer query into subtopics and match each to an H2.
Lists (bulleted / numbered)100
13 lists found.
Comparison tables50
No tables. Comparison / specification tables are heavily cited for product and technical queries.
Image alt-text coverage92
12 of 13 images have alt text (92%).
Open Graph metadata100
Open Graph title, description, and image all present.
Internal linking quality70
122 internal links (122 with descriptive anchors), 38 external.
Page weight + render-blocking71
281 KB HTML, 1 blocking script(s), 2 blocking stylesheet(s), 6/13 images without lazy-load.
GEO-SFE structural depth (macro/meso/micro)80
Macro: max heading depth H3 (H1=1, H2=8, H3=26, H4=0). Meso: 5.9 chunks/section avg. Micro: 0.00% visual emphasis.

Authority

43/100

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
80 numerical facts (~3.5 per 100 words).
Expert quotations100
4 blockquotes + 0 long inline quotes.
Author byline60
Author byline only partially marked up.
Fix: Add a visible author byline (a `<div class="byline">` or `[rel="author"]`) AND a `<meta name="author">` tag.
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 vocabulary90
369 multi-syllable words (~16.2% 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
154 distinct proper-noun entities mentioned.
Readability (Flesch Reading Ease)80
Reading-ease score: 60.0 (target 60-70).
Content depth100
2279 words. Target 300-2500: engines bias toward focused depth.
Information density70
Unique-word ratio: 39.9% (target 40-60%).
Definitional sentences100
7 definitional sentences.
BLUF — answer in first 100 words18
First 100 words cover 1/4 query terms.
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)100
4/4 facets covered (what ✓, who ✓, how ✓, pricing ✓).
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
3/3 decomposed sub-questions addressed on the page.

Trust

100/100

HTTPS100
Page served over HTTPS.
Canonical URL100
Canonical: https://www.digiocular.com
Mobile-friendly viewport100
Viewport meta tag present.
Twitter Card100
Twitter Card metadata present.
Meta description100
Meta description: 151 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

43/100

First-person language100
62 first-person pronouns (2.7% of words). Target 0.5-3%.
Case study / concrete examples67
2 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)0
no 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 "digiocular" (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 information80
email ✓, phone ✓, address ✗, contact link ✓

The Fix Kit

Good readiness, with closable gaps (66/100): 7 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.

Organization JSON-LD

Schema markup · Medium priority

Organization schema gives the engine an E-E-A-T anchor: pages without one are treated as anonymous.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Digiocular",
  "url": "https://digiocular.com",
  "logo": "https://digiocular.com/apple-icon.png?apple-icon.06z13q9na-6n-.png?dpl=dpl_AB3CwtMBrW1ANW1CRSsYymjFbNCq",
  "sameAs": [
    "https://www.instagram.com/digiocular.in",
    "https://www.linkedin.com/company/digiocular",
    "https://www.facebook.com/people/Digiocular/61589490187712"
  ]
}
</script>

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.

Author byline

Page structure · Medium priority

Author byline only partially marked up.

Add a visible author byline (a `<div class="byline">` or `[rel="author"]`) AND a `<meta name="author">` tag.

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">`.

Direct answer in the lead

Copy · High priority

0 of 4 query terms appear in the first paragraph.

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

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.

See plans Run another free audit

Re-check schedule

Oct 14, 2026Cited66/100 readiness
OpenRe-check after you ship the fixes

Audit by VectorCite · vectorcite.digiocular.com