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botcity.dev
WINTER 2022

botcity.dev

Moderate AI visibility with 32 of 48 criteria passing. Biggest gap: rss/atom feed.

Developer Tools & InfrastructureDeveloper Platforms
54/100
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
7/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and Original Data & Expert Analysis. Priority gaps: RSS/Atom Feed, Speakable Schema, and Owned Data Density. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
54/100
Projected
82/100
39Total Fixes
13Quick Wins
~70hEst. Effort
Quick Wins
Build FAQ sections with schemaLink orphan pages into site navigationAdd content freshness signalsAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingAdd visible date signalsFocus blog content on core expertiseImprove citation-ready writing qualityAdd answer-first content placementPackage evidence for AI enginesReduce extraction frictionEliminate cross-page duplicate content
Configure robots.txt for AI crawlers
medium|trivial
Create complete sitemap.xml
medium|low
Fix HTML structure and meta tags
low|low
Reduce render-blocking resources
low|low
Fix canonical URL strategy
low|trivial
Improve server response efficiency
low|low
Reduce document weight
low|low
Add internationalization signals
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.

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

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.

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.

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.

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

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Site Pages

botcity.dev/treinamentoD41
Treinamento BotCity | Capacite-se em Governança de Automações com Python e BotCity
botcity.dev/cases/pague-menos-extrafarmaD41
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botcity.dev/industry/retailD43
Intelligent Automations for Retail

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