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AEO audit · Sep 24, 2026

vesremont.com

on the querybitrix
39AEO score
Currently uncited
Not cited at top 0·simulated retrieval against 0 candidates
⚡ This Week — top 5 fixes📈 Predict score⬇ CSV⬇ JSON View page

The 30-signal rubric

18 ok · 6 weak · 23 absent

Every signal is measurable from your page. Hover for the detail and a remedy.

Structure

54/100
JSON-LD structured data70
1 JSON-LD block found.
JSON-LD validity100
1 of 1 JSON-LD block parse cleanly.
Schema type matches query intent40
Schema types found (WebSite, WebPage, ItemList, Organization, Store) don't match a informational buyer intent.
Fix: Add a Article JSON-LD block — the highest-leverage schema type for a "bitrix" query.
FAQ / Q&A schema0
No FAQPage / QAPage schema — AI Overviews preferentially cite pages exposing structured Q&A.
Fix: Add a FAQPage schema with 3-5 questions buyers actually ask. The single most direct path to AI Overview citation.
H1 quality100
H1: "Товары для дома, ремонта, строительства и профессиональных з…" (64 chars).
H2 subtopic coverage0
0 H2 headings — answer engines decompose a buyer query into subtopics and match each to an H2.
Fix: Break the page into at least 4 H2 sections, each answering one aspect of the buyer query. Engines surface specific H2s as citations.
Lists (bulleted / numbered)0
No lists — AI engines preferentially cite list items because they pack into answer summaries cleanly.
Fix: Add 2-3 bulleted lists summarising key points. They're the single most-cited structural element in AI summaries.
Comparison tables50
No tables. Comparison / specification tables are heavily cited for product and technical queries.
Image alt-text coverage100
48 of 48 images have alt text (100%).
Open Graph metadata100
Open Graph title, description, and image all present.
Internal linking quality55
131 internal links (83 with descriptive anchors), 0 external.
Fix: Rewrite generic anchor text ("click here", "read more") to descriptive phrases that include the target page's topic — anchors are direct citation context.
Page weight + render-blocking60
363 KB HTML, 0 blocking script(s), 0 blocking stylesheet(s), 48/48 images without lazy-load.
Fix: Reduce page weight: trim HTML to <300 KB; add loading="lazy" to images below the fold. Heavy pages get down-ranked in retrieval as a Core Web Vitals proxy.
GEO-SFE structural depth (macro/meso/micro)52
Macro: max heading depth H1 (H1=1, H2=0, H3=0, H4=0). Meso: 35.0 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

27/100
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
225 numerical facts (~23.7 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 byline0
No author byline. E-E-A-T penalises anonymous content.
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
228 multi-syllable words (~24.0% of total).

Content

25/100
Direct answer in the lead0
0 of 1 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 coverage0
0% of query terms appear somewhere on the page.
Fix: Cover every term in the buyer query at least once. Missing terms make embeddings drift and competitor pages win retrieval.
Named-entity coverage100
16 distinct proper-noun entities mentioned.
Readability (Flesch Reading Ease)20
Reading-ease score: 116.9 (target 60-70).
Fix: Page reads too simple — engines down-rank content that lacks domain specificity. Add precise terminology.
Content depth100
949 words. Target 300-2500 — engines bias toward focused depth.
Information density100
Unique-word ratio: 46.6% (target 40-60%).
Definitional sentences0
0 definitional sentences.
Fix: Include definitional sentences ("X is...", "X refers to..."). Engines specifically extract definitions for AI Overview snippets.
BLUF — answer in first 100 words0
First 100 words cover 0/1 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)0
0/4 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 coverage0
0/3 decomposed sub-questions addressed on the page.
Fix: Cover the sub-questions buyers actually ask along with the seed query. Currently failing on: what is bitrix · how does bitrix work · bitrix alternatives

Trust

100/100
HTTPS100
Page served over HTTPS.
Canonical URL100
Canonical: https://vesremont.com/
Mobile-friendly viewport100
Viewport meta tag present.
Twitter Card100
Twitter Card metadata present.
Meta description100
Meta description: 209 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

21/100
First-person language0
0 first-person pronouns (0.0% of words). Target 0.5-3%.
Fix: Add first-person language showing lived experience — "we", "our team", "I". Google rates first-person as direct evidence of the new E-for-Experience EEAT pillar.
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)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 "vesremont" (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 links50
Privacy ✗, Terms ✓.
Fix: Add Privacy Policy and Terms of Service links (typically in the footer). Their absence is a hard trust-floor signal — Google's quality raters down-rank pages that lack them.
Contact information100
email ✓, phone ✓, address ✓, contact link ✓

The Fix Kit

Currently uncited (39/100) — 9 foundational patches required

Ready-to-paste patches. Schema.org JSON-LD, meta tags, copy guidance. The first three below are unlocked; the rest are gated behind a free account.

Article JSON-LD

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

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Товары для дома, ремонта, строительства и профессиональных задач",
  "description": "Vesremont — интернет-гипермаркет для ремонта и дома: инструмент, электрика и свет, стройматериалы, крепёж, сантехника и другие категории. Оплата картой, СБП, наличными или по счёту с НДС; доставка и самовывоз.",
  "url": "https://vesremont.com/",
  "datePublished": "2026-09-24",
  "author": {
    "@type": "Person",
    "name": "Add author name"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Vesremont",
    "logo": {
      "@type": "ImageObject",
      "url": "https://vesremont.com/logo.png"
    }
  }
}
</script>

FAQPage JSON-LD

FAQPage is the single most-cited schema type by Google AI Overviews. Add 3-5 Q&A pairs covering what buyers ask.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Denatonium?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Denatonium is an organic ion and one of the bitterest chemical compounds known, with bitterness thresholds of 0.05 ppm for the benzoate and 0.01 ppm for the saccharinate. Commercially, it is usually available in salts such as denatonium benzoate or as denatonium saccharinate (BIT"
      }
    },
    {
      "@type": "Question",
      "name": "Why does Denatonium matter?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "A 1-2 sentence explanation of the practical value or impact."
      }
    }
  ]
}
</script>

Organization JSON-LD

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