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jala.tech

jala.tech

Moderate AI visibility with 31 of 48 criteria passing. Biggest gap: llms.txt file.

58/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 58/100 - multiple areas need attention. Key strengths include Sitemap Completeness, Direct Answer Paragraphs, and Fact & Data Density. Priority gaps: llms.txt File, RSS/Atom Feed, and Content Licensing & AI Permissions.

#1330of 13363
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How to Improve

Current
58/100
Projected
83/100
38Total Fixes
11Quick Wins
~74hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsPackage evidence for AI enginesClarify entity boundariesReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Reduce document weight
medium|low
Improve server response efficiency
low|low
Reduce render-blocking resources
low|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.

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.

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.

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

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.

Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

Fix It With AI38

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Site Pages

jala.tech/id/diseases/ihhnvF35
Infectious Hypodermal and Hematopoietic Necrosis Virus (IHHNV) | Shrimp Disease Information | JALA
jala.tech/appF28
JALA App | JALA
Changes since v1Last audited 52 days ago
59
58
-1
View full comparison →
Add Original Data & Case StudiesIncrease Content DepthRestructure Content as Q&AAdd Owned Data SignalsAdd Structured Tables & ListsImprove Question-Answer AlignmentAdd Answer Capsule PatternsAdd First-Hand Experience SignalsStrengthen Entity Authority (NAP)Add Entity Disambiguation

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