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tasker.ai
WINTER 2020

tasker.ai

Weak AI visibility with 22 of 48 criteria passing. Biggest gap: llms.txt file.

46/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
3/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 46/100 - multiple areas need attention. Key strengths include Fact & Data Density, Canonical URL Strategy, and Content Cannibalization. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#7804of 13363
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How to Improve

Current
46/100
Projected
78/100
40Total Fixes
11Quick Wins
~95hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersCreate complete sitemap.xmlAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseAdd first-hand experience signalsImprove citation-ready writing qualityReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
high|low
Reduce document weight
high|low
Fix HTML structure and meta tags
low|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Reduce render-blocking resources
medium|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 question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

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.

Create a dedicated FAQ page with FAQPage schema markup. Cover common questions about your products, services, and industry to become a direct answer source for AI engines.

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.

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.

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.

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.

Fix It With AI43

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Site Pages

tasker.ai/privacy-policyD40
Tasker AI
tasker.ai/terms-of-serviceF36
Tasker AI
tasker.aiF32
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