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telecomssupermarket.in

telecomssupermarket.in

Moderate AI visibility with 29 of 53 criteria passing. Biggest gap: llms.txt file.

53/100
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 53/100 - multiple areas need attention. Key strengths include Sitemap Completeness, Content Cannibalization, and Answer-First Placement. Priority gaps: llms.txt File, RSS/Atom Feed, and Content Licensing & AI Permissions. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#5137of 18019
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How to Improve

Current
53/100
Projected
81/100
45Total Fixes
14Quick Wins
~85hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersAdd structured tables and listsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyExtend schema to inner pagesImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseReduce extraction frictionAdd an AI-assistance disclosureFix titles & meta descriptions
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Fix canonical URL strategy
high|trivial
Reduce render-blocking resources
medium|low
Stabilize page layout
medium|low
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce document weight
low|low

Top Opportunities10

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

Write concise, standalone answer paragraphs (2-3 sentences) immediately after question headings. These "snippet-ready" paragraphs are ideal for AI engine citations.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

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