appier.com scores 53/100 for AI Readiness
Appier (appier.com) is a SaaS / Marketing AI site; Kuroma measured its AI Readiness at 53/100 (grade B), audited 31 Aug 2026. Its strongest area is Technical Optimization (72) and its weakest is AI Readiness (36); the biggest single gap is Content Freshness at 5/100 (No recent year references in content). That places it above the median of the 273 MarTech sites Kuroma has audited.
Audited URL: https://appier.com/
The most points to recover are in Citation-Worthiness: it scored 22/100 on a check worth 7.5% of the total, which takes 5.9 points off the overall score.
This audit is 21 days old. AI answers change between audits, so what AI search sees today may differ from this card.
Above the median in MarTech Median 53 · Top quartile 59 · across 273 audited sites in MarTech
Is appier.com ready for AI search?
Mostly, with gaps: appier.com scores 53/100 (grade B). The gaps to close are Make This Page’s Facts Extractable and Add FAQ Schema Markup.
Category scores
Top fixes, ranked by points recovered
Ranked by each check's share of the overall score times how far it fell short, so the biggest number is the biggest win, not the lowest score.
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Increase Citation-Worthy Content up to +5.9 pts
On https://appier.com/ · AI Readiness → Citation-Worthiness, scored 22/100
- Conduct original research or surveys
- Include specific statistics with sources
- Add expert quotes and interviews
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Update Content Freshness up to +5.4 pts
On https://appier.com/ · AI Readiness → Content Freshness, scored 5/100
- No recent year references in content
- No machine-readable date on the page, so AI cannot tell when it was written
- Update statistics and data to 2026
- Add article:modified_time meta tag
- Include "Last updated: [date]" visibly on page
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Add FAQ Schema Markup up to +4.9 pts
On https://appier.com/ · On-Page Content → Question Coverage & FAQ Presence, scored 25/100
- No FAQ schema markup detected
- Few question-based headings
- Identify the top 5-10 questions your audience asks
- Create a dedicated FAQ section on this page
- Add FAQPage schema markup (see code below)
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Add External Citations & References up to +4.1 pts
On https://appier.com/ · Authority Signals → External Citations & References, scored 55/100
- Use citation language like "according to..." or "research shows..."
- Add a references or sources section
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Optimize for Featured Snippets & AI Answers up to +4 pts
On https://appier.com/ · AI Readiness → Answer Box Potential, scored 44/100
- No FAQ structure detected
- 5 of your 13 headings open a passage an assistant could quote; the rest introduce a link or a label
- Add clear definitions that directly answer "What is X?" questions
- Add comparison tables, definition lists or step-by-step markup - structured comparisons frequently appear in AI responses
All 19 scored checks
Every check the published rubric scores, with what this audit found on the page.
On-Page Content 25% of the score
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6.5% of the overall score
Found: 1431 words, 117 paragraphs, 53 lists, 81 images (52 with alt text)
- 29 images missing alt text
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6.5% of the overall score
No FAQ structure. 1 question headings. 0 questions detected in content
- No FAQ schema markup detected
- Few question-based headings
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4.5% of the overall score
1 JSON-LD scripts. Schema types: Corporation
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3% of the overall score
Average 12 words/sentence. 13 long sentences. No text formatting.
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2.8% of the overall score
H1: 2, H2: 5, H3: 3. Hierarchy issues.
- Multiple H1 headings (2) - should have exactly one
- Heading levels are skipped (H1 straight to H3)
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1.8% of the overall score
Measures whether images, video, and charts have text equivalents AI can read.
- 29 of 81 content images have no alt text, so their content is invisible to AI search.
- 37 images have alt text too short to describe what they show ("appier-logo", "fi_globe-dark", "Logo Slider_LOREAL-1").
- 60 images have no caption, so AI can't read the takeaway of a chart or diagram without one.
- This page has 81 images but only ~1431 words, so your key information may be trapped in images that AI search can't read.
Technical Optimization 20% of the score
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1% of the overall score
1 valid schemas, has Organization, has OpenGraph
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2% of the overall score
31 render-blocking resources. 1143 elements for 1431 words
- 31 render-blocking scripts and stylesheets load before this page can appear
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4% of the overall score
Has viewport. 16 responsive images
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13% of the overall score
HTTPS enabled. Has canonical. Indexable. All scored AI crawlers allowed. 3 placeholder links
- Canonical URL does not match page URL
Authority Signals 25% of the score
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7% of the overall score
Experience: 4/10. Expertise: 10/25. Authority: 19/25. Trust: 7/25
- No author attribution found
- No publication or update dates found
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9% of the overall score
12 external links, 0 citation phrases, 7 statistics. No references section.
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9% of the overall score
Present: About page, Publisher schema (5 identity properties), Privacy Policy, Legal notice, Contact, Social profiles (4)
AI Readiness 30% of the score
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7.2% of the overall score
5 of 13 headings open a quotable passage, 0 definitions, 0 comparison structures
- No FAQ structure detected
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7.5% of the overall score
0 original data indicators, 6 percentages, 0 quotes.
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5.7% of the overall score
No recent year references
- No recent year references in content
- No machine-readable date on the page, so AI cannot tell when it was written
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5.1% of the overall score
6 of 79 passages carry a figure, 1 set two figures against each other, 0 named versions or models.
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3% of the overall score
Score: 71/100
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1.5% of the overall score
1431 words readable without JavaScript
This audit measures citation readiness: how easily AI engines can crawl, extract, and quote these pages. It cannot see the off-site brand footprint (mentions, reviews, third-party coverage) that gates whether AI engines retrieve a brand at all; Kuroma's visibility scans and off-site signals track that side. How the score works
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