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miboleto.com

miboleto.com

Moderate AI visibility with 30 of 53 criteria passing. Biggest gap: llms.txt file.

51/100
D
Citation Avg
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 51/100 - multiple areas need attention. Key strengths include Content Freshness Signals, Sitemap Completeness, and RSS/Atom Feed. Priority gaps: llms.txt File, Speakable Schema, and Answer Capsule Pattern.

#6363of 18019
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How to Improve

Current
51/100
Projected
80/100
42Total Fixes
10Quick Wins
~94hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsConfigure robots.txt for AI crawlersAdd definition-style contentAdd ai.txt and content licensingImprove query-answer alignmentReduce extraction frictionEliminate cross-page duplicate contentImprove server response efficiencyAdd an AI-assistance disclosure
Fix HTML structure and meta tags
high|low
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Reduce render-blocking resources
critical|medium
Reduce document weight
critical|medium
Add internationalization signals
critical|medium
Improve server response efficiency
high|low
Stabilize page layout
medium|low

Top Opportunities10

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.

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

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

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.

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.

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

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

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

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

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.

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Site Pages

miboleto.com/tdb_templates/single-post-template-2D44
Single Post Template 2 | Mi Boleto Travel

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