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mobot.io
WINTER 2019

mobot.io

Moderate AI visibility with 27 of 48 criteria passing. Biggest gap: llms.txt file.

55/100
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
8/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 55/100 - multiple areas need attention. Key strengths include Q&A Content Format, Original Data & Expert Analysis, and Direct Answer Paragraphs. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

#2433of 13363
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How to Improve

Current
55/100
Projected
82/100
42Total Fixes
11Quick Wins
~82hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signalsClarify entity boundariesReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Create complete sitemap.xml
medium|low
Reduce render-blocking resources
medium|low
Reduce document weight
medium|low
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low

Top Opportunities10

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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

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 dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

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

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.

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

Fix It With AI42

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Site Pages

www.mobot.io/resourcesD42
Mobot Resources | Level Up Your Mobile App Testing Knowledge
www.mobot.io/blogD42
Mobot | QA & Software Testing Blog
www.mobot.io/2023-state-of-mobile-deep-linkingD49
2023 State of Mobile Deep Linking
www.mobot.io/customersD43
Success starts with Mobot.
www.mobot.io/mobot-insightsF39
Mobot Insights | Mobile Campaign Monitoring | Mobot
www.mobot.io/acp/scopelyF36
Automated Mobile QA on Physical Devices | Mobot
www.mobot.io/adoptarobot/episodeD41
Adopt a Robot - Prevent World Domination
www.mobot.io/playground/2-factor-authenticationD41
Mobot Playground - 2-Factor Authentication

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