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upside.com

upside.com

Moderate AI visibility with 32 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
59/100
5 since v1
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 59/100 - multiple areas need attention. Key strengths include Original Data & Expert Analysis, Direct Answer Paragraphs, and Fact & Data Density. Priority gaps: llms.txt File, RSS/Atom Feed, and Content Licensing & AI Permissions.

How to Improve

Current
59/100
Projected
80/100
40Total Fixes
12Quick Wins
~70hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseAdd first-hand experience signalsPackage evidence for AI enginesReduce extraction frictionReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
high|low
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
low|low
Reduce document weight
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 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.

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.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

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.

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.

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

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

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

Fix It With AI41

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Site Pages

www.upside.com/blogD41
The Upside Blog | Upside
www.upside.com/tags/fuel-industry-insightsD41
Fuel industry insights | Upside
www.upside.com/newsroom/news-coverageF34
News Coverage | Upside
www.upside.com/webinars/consumers-loyalty-the-retailer-pe...F35
The retailer perspective on consumers and loyalty
www.upside.com/tags/retail-industry-thought-leadershipF36
Retail Industry thought leadership | Upside
www.upside.com/about/teamF39
Meet the Team | Upside
www.upside.com/data-and-securityF35
Data & Security | Upside
www.upside.com/newsroomF33
Newsroom | Upside
Changes since v1Last audited 46 days ago
54
59
+5
View full comparison →
Focus Content on Core TopicsAdd Answer Capsule PatternsAdd Structured Tables & ListsImprove Question-Answer AlignmentAdd Answer-First PlacementFix Duplicate Content BlocksImprove Citation-Ready WritingImprove Internal Linking ArchitectureRestructure Content as Q&AAdd First-Hand Experience Signals

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