digiocular.com

Record 1sBOgqsi6 · Oct 14, 2026

for “best web design agency for small businesses”

This audit was run before live answers existed, so it has no observed verdict.

62/100 readiness

Good readiness, with closable gaps

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

Comparison not run. This audit ran without any competing pages to compare against, so there is no ranking to show.

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The live answer

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How your page compares

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Readiness, signal by signal

47 signals, each measured from the page itself: 31 pass, 6 weak, 10 missing. Open any signal for the detail and the fix. Every signal is documented in the rubric.

Structure

81/100

JSON-LD structured data80
2 JSON-LD blocks found.
JSON-LD validity100
2 of 2 JSON-LD blocks parse cleanly.
Schema type matches query intent40
Schema types found (Organization, ProfessionalService, WebSite, WebPage, FAQPage) don't match a transactional buyer intent.
Fix: Add a Product JSON-LD block: the highest-leverage schema type for a "best web design agency for small busines" query.
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 tables20
No tables. Comparison / specification tables are heavily cited for product and technical queries.
Fix: Add a comparison table: engines cite tables nearly verbatim when answering compare/spec 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

44/100

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
61 numerical facts (~3.0 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 vocabulary100
442 multi-syllable words (~21.4% of total).

Content

64/100

Direct answer in the lead0
0 of 7 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 coverage71
71% of query terms appear somewhere on the page.
Named-entity coverage100
101 distinct proper-noun entities mentioned.
Readability (Flesch Reading Ease)50
Reading-ease score: 48.6 (target 60-70).
Fix: Page reads too academic: shorter sentences and simpler vocabulary lift citation rate by ~12% (GEO §4.3).
Content depth100
2064 words. Target 300-2500: engines bias toward focused depth.
Information density100
Unique-word ratio: 46.0% (target 40-60%).
Definitional sentences100
7 definitional sentences.
BLUF — answer in first 100 words30
First 100 words cover 3/7 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
4/4 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 retrieval-bot access (robots.txt)100
robots.txt allows all AI retrieval bots: your pages are eligible for citation.
llms.txt present at /llms.txt100
/llms.txt found and non-empty: IDE agents (Cursor, Claude Code, Copilot, Windsurf) and Claude.ai will use it for retrieval.

E-E-A-T

36/100

First-person language70
62 first-person pronouns (3.0% of words). Target 0.5-3%.
Case study / concrete examples33
1 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 (62/100): 8 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.

Product JSON-LD

Schema markup · High priority

A Product schema is the strongest single AEO signal for a transactional query. Paste this in the <head>.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "A website thatwins customers.",
  "description": "Custom websites from $349 USD, built by Digiocular, an AI-native agency in Manila, Philippines, for businesses in India, the Philippines and worldwide.",
  "url": "https://digiocular.com",
  "brand": {
    "@type": "Brand",
    "name": "Digiocular"
  }
}
</script>

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/logo.png",
  "sameAs": [
    "https://twitter.com/your-handle",
    "https://linkedin.com/company/your-org"
  ]
}
</script>

Comparison tables

Page structure · Medium priority

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

Add a comparison table: engines cite tables nearly verbatim when answering compare/spec queries.

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%).

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">`.

Rather not ship these yourself?

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

See done-for-you

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Re-check schedule

Oct 14, 2026Checked:62/100 readiness
OpenRe-check after you ship the fixes

Audit by VectorCite · vectorcite.digiocular.com