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proception.ai
WINTER 2025

proception.ai

Weak AI visibility with 18 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
40/100
2 since v1
F
Citation Avg
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
2/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
3/10

Verdict

Critical AEO gaps at 40/100 - proception.ai is largely invisible to AI engines. Key strengths include Canonical URL Strategy, Content Cannibalization, and Topic Coherence. Priority gaps: llms.txt File, Schema.org Structured Data, and Q&A Content Format.

How to Improve

Current
40/100
Projected
76/100
40Total Fixes
8Quick Wins
~103hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationAdd ai.txt and content licensingAdd visible date signalsAdd answer-first content placementAdd image context for AI engines
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
critical|low
Fix HTML structure and meta tags
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|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.

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

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.

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

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

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.

Fix It With AI40

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Site Pages

www.proception.ai/master-planF37
Proception - Advanced Humanoid Hands
www.proception.ai/handF36
Proception - Advanced Humanoid Hands
www.proception.ai/newsF39
Proception - Advanced Humanoid Hands
www.proception.ai/docsF36
Proception - Advanced Humanoid Hands
www.proception.aiF39
Proception - Advanced Humanoid Hands
www.proception.ai/careersF34
Proception - Advanced Humanoid Hands
www.proception.ai/contactF31
Proception - Advanced Humanoid Hands
Changes since v1Last audited 76 days ago
42
40
-2
View full comparison →
Add Original Data & Case StudiesIncrease Content DepthAdd Direct Answer ParagraphsIncrease Fact & Data DensityRestructure Content as Q&AImprove Question-Answer AlignmentAdd Structured Tables & ListsBuild Comprehensive FAQ SectionAdd Owned Data SignalsAdd Entity Disambiguation

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