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xmode.io

xmode.io

Moderate AI visibility with 28 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
55/100
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 55/100 - multiple areas need attention. Key strengths include Sitemap Completeness, RSS/Atom Feed, and Fact & Data Density. Priority gaps: llms.txt File, Speakable Schema, and Answer Capsule Pattern.

How to Improve

Current
55/100
Projected
82/100
38Total Fixes
11Quick Wins
~83hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersLink orphan pages into site navigationImplement semantic HTML5 elementsAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingImprove query-answer alignmentImprove citation-ready writing qualityPackage evidence for AI enginesReduce render-blocking resources
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
critical|low
Reduce render-blocking resources
high|low
Add internationalization signals
critical|medium
Reduce document weight
medium|low
Improve server response efficiency
medium|low

Top Opportunities10

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.

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.

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.

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.

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

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

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.

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 "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

Fix It With AI39

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Site Pages

xmode.io/how-will-ios-14-affect-the-location-data-industry-2F36
How Will iOS 14 Affect the Location Data Industry? - X-Mode
xmode.io/putting-the-user-first-x-mode-launches-new-conse...F39
X-Mode Launches New API for Partner Apps. | X-Mode
xmode.io/location-data-in-action-valentines-day-editionD48
Location Data in Action: Valentine's Day Edition. - X-Mode
xmode.io/picket-xmode-data-for-good-social-impactD43
Announcing Picket: Location Data for Social Impact, from X-Mode. - X-Mode
xmode.io/location-data-and-covid-19-resource-pageD40
Location Data for the Cure: X-Mode Launches COVID Resource Page. - X-Mode

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