inworld.ai 59 D
🛡️ SEO 67 🤖 GEO 54 ⚡ Perf 52 🏗️ Arch 69

inworld.ai — Global SEODiff Score 59/100

inworld.ai
📊

With a solid 68/100 ACRI, inworld.ai is well-positioned for AI search — better than 62% of sites in the Radar. Within the developer vertical, this places inworld.ai above the industry average of 57 —, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. A 50.0× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

59
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (52) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (51×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 9 snapshots
Feb 23 Mar 20
🔔 Recent AI Indexing Activity
📈 Mar 18 ACRI +1 (35→36)
📈 Mar 16 ACRI +2 (33→35)
🔄 Mar 10 Content change detected
Does your site score higher than inworld.ai?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)67 × 0.25 = 16.8
🤖 AI Readiness / GEO (40% weight)54 × 0.40 = 21.6
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)69 × 0.15 = 10.3
Weighted sum = 16.8 + 21.6 + 10.4 + 10.3
Global SEODiff Score = 59 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
0
Structure
avg 35
44
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 10%
Rank #99489
+29 pts
Gap
AI (ACRI)
Top 38%
Score 68/100

inworld.ai punches above its weight in AI — AI visibility exceeds Google ranking. This is a competitive moat worth protecting. ACRI measures technical crawler readiness. Read the methodology →

Why inworld.ai ranks here

Tech stackNext.js
Industrydeveloper
RenderingSSR
Schema coverage2 blocks
Token bloat50×+

Fastest improvements

  • Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
  • Create an llms.txt file so AI crawlers can discover your content structure without heavy crawling. Generate llms.txt →
  • Run a full entropy audit to find which DOM regions waste the most tokens. Run Entropy Audit →
🧪

JavaScript Rendering Check

We check what AI crawlers miss when they skip JavaScript execution.

Running headless browser to simulate AI extraction…
🛡️

Traditional SEO

67/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

59 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

107 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://inworld.ai
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Inworld AI | Top-ranked voice AI for realtime applications.
  • ✓ og:description — #1 ranked TTS with under 200ms latency, voice cloning, and 25x lower cost. Realtime agents built for scale.
  • ✓ og:image — preview
  • ✓ twitter:card — summary_large_image
📐 How the SEO Pillar score is calculated

SEO Pillar = Title (20 pts) + Meta Desc (20 pts) + Heading Hierarchy (20 pts) + Indexability (20 pts) + Social/OG (20 pts)

Each sub-score is derived from the checks above. Canonical tag, lang attribute, og:image, and a single H1 are the highest-impact items.

🤖

AI Readiness / GEO

54/100 40 % of Global Score 🟢 High Confidence

This pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.

🔗

Citation Alternatives

Research
💡
Insight: In the developer sector, hikkoshizamurai.jp (ACRI: 88) currently has stronger AI extractability. AI models tend to prefer sources with higher semantic structure and schema coverage. Domains with ACRI < 40 see 3.5× more hallucinations. Read the research →
inworld.ai
36
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 blocks and uses Custom / Proprietary. Improve your score by implementing the remediation patches below.
📊 Side-by-Side Comparison →
🚨

Hallucination Risk

Research

Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.

Analyzing hallucination risk…

🤖 Bot Access Matrix

GPTBot (OpenAI)
Allowed
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
Googlebot
Allowed

👻 Rendering (Ghost Ratio) Docs

Ghost Ratio 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 0/100 — Poor
Structured Elements 0 elements (0 lists, 0 rows, 0 headers)
Total Words1050
Raw Density0.0%
💡Low structure score (0/100). Your content appears as a wall of text with few structured HTML elements. You have 0 list items, 0 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 schema types detected
✅ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡Product / Service schema missing. AI models don't know this is a SaaS product. Add Product or SoftwareApplication schema so AI understands what you offer and can surface pricing/features.
💡BreadcrumbList schema missing. AI cannot understand your site hierarchy or how pages relate to each other.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

38
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability38/100 — AI models can barely extract answers from this page
Crawl CostHigh (80/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (7.6 KB)Bloat (379.4 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context5% Optimized for Vision
Image Alt Coverage6 / 129 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 387.0 KB, but only 7.6 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 5% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 98.0% · SNR: 0.02 · Signal: 1938 / Noise: 97129 tokens

🔬 AI-Crawler Simulation

See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.

🌐
This is what humans see — styled, branded, visual.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖

AI Answer Preview

NEW

See how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.

Simulating AI extraction…

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Serveristio-envoy
CDN
HTTP Status200
Load Time601 ms
Raw HTML Size387.0 KB
Visible Text Size7.6 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

601 ms
Slow — bots may time out or deprioritise

Google considers <200 ms "good". AI crawlers may have even shorter timeouts.

📦 Page Weight

1876
DOM nodes
387 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=0, s-maxage=3600, stale-while-revalidate=86400
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

0
tracker scripts
0
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
📐 How the Performance Pillar score is calculated

Perf Pillar = TTFB (35 pts) + Page Weight (25 pts) + Cache/CDN (20 pts) + Tracker Tax (20 pts)

TTFB <200 ms = full marks. DOM >3000 or payload >300 KB incurs heavy penalties. Tracker scripts beyond 5 reduce score.

🏗️

Architecture & Trust

69/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://inworld.ai/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

36
internal links
4
external links
Good internal linking — helps crawlers discover content

🔒 Security & Trust

  • ✗ HSTS header (Strict-Transport-Security)
  • ✓ Content-Security-Policy header
  • ✓ HTTP status 200 OK (got 200)

♿ Accessibility Signals

  • ✓ HTML lang attribute → en
  • ✓ Meta viewport for mobile
  • ✓ Single H1 for screen readers
📐 How the Architecture Pillar score is calculated

Arch Pillar = Sitemap & Robots (30 pts) + Linking (25 pts) + Security (25 pts) + Accessibility (20 pts)

Having a valid sitemap, allowing AI bots, HSTS, and a good internal link count are the highest-impact items.

🏅 AI-Verified Trust Badge

Your site scores 36/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for inworld.ai
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/inworld.ai" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=inworld.ai" alt="AI-Verified by SEODiff" width="280" height="52"></a>

💡 Paste in your site footer, GitHub README, or email signature. Badge updates automatically as your score changes.

� Deep Crawl Analysis 39 pages · Deep-10

Homepage ACRI
36
Single-page score
+16
Subpages outperform homepage
Δ delta
Site-Wide ACRI
53
Avg across 39 pages · Range 0–82
Topical Cohesion
22%
Topical Drift
TF-IDF cosine similarity
Total Words
39636
Avg Bloat
135.6×
RAG Fractures [?]
3
⚠️
3 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 3 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://inworld.ai/blog/how-inworld-helped-the-ai-game-death-by-ai-with-20-million-players-reach-profitability
How Inworld Helped Death by AI Reach Profitability at 20M Players
pricing 82 9.8× 2735 💰 Pricing
https://inworld.ai/resources/what-is-inworld-ai
What is Inworld AI? Realtime AI Models & Infrastructure
pricing 72 13.0× 2548 💰 Pricing
https://inworld.ai/blog/introducing-inworld-runtime
Inworld Runtime: The first AI runtime for consumer applications
pricing 69 17.9× 1281 💰 Pricing
https://inworld.ai/blog/enabling-multi-modal-consumer-experiences-with-sota-voice-ai
Inworld + NLX: Enabling multi-modal consumer experiences with SOTA voice AI
pricing 69 15.2× 1823 💰 Pricing
https://inworld.ai/blog/a-return-to-the-user
A Return to the User
pricing 69 18.5× 1150 💰 Pricing
https://inworld.ai/blog/wishroll-status-cutting-ai-costs-by-95-percent
How Status Scaled to 500K Users at 95% Lower Cost
pricing 69 18.8× 1980 💰 Pricing
https://inworld.ai/blog/inworld-mistral-collaboration
Inworld + Mistral AI: Build Engaging Apps Faster | Inworld
pricing 69 19.3× 882 💰 Pricing
https://inworld.ai/resources/best-text-to-speech-apis
8 Best Text-to-Speech APIs for Developers (2026 Comparison)
pricing 69 17.4× 2250 ⚠️ RAG Fracture
https://inworld.ai/resources/best-voice-ai-tts-apis-for-real-time-voice-agents-2026-benchmarks
Best TTS APIs for Real-Time Voice Agents (2026 Benchmarks)
pricing 69 16.3× 3761 💰 Pricing
https://inworld.ai/resources/best-ai-voice-generators
Best AI Voice Generators (2026): Ranked for Real‑Time Streaming, SDKs, and Production Use
pricing 69 16.3× 2796 💰 Pricing
https://inworld.ai/resources/how-to-evaluate-tts-models
How to Evaluate TTS Models for Realtime Conversational AI
pricing 69 17.2× 1513 💰 Pricing
https://inworld.ai/blog/how-we-made-state-of-the-art-speech-synthesis-scalable-with-modular
How we made state-of-the-art speech synthesis scalable with Modular
pricing 64 20.1× 1187 💰 Pricing
https://inworld.ai/blog/tts-custom-pronunciation-timestamps-websockets
Introducing Timestamp Alignment, WebSockets and More for Inworld TTS
pricing 64 24.2× 1267 💰 Pricing
https://inworld.ai/blog/three-challenges-of-realtime-conversational-ai
The 3 Engineering Challenges of Realtime Conversational AI
pricing 64 24.2× 1060 💰 Pricing
https://inworld.ai/blog/new-ai-infrastructure-scaling-games-media-characters
The new AI infrastructure for scaling games, media, and characters
pricing 64 24.2× 946 💰 Pricing
https://inworld.ai/blog/introducing-inworld-tts
Introducing Inworld TTS
pricing 64 22.3× 1070 💰 Pricing
https://inworld.ai/blog/raising-bar-for-realtime-voice-ai-with-pipecat
Inworld meets Pipecat: Raising the bar for realtime voice AI
pricing 64 28.0× 654 💰 Pricing
https://inworld.ai/blog/introducing-unreal-ai-runtime-sdk
Unreal AI Runtime: Build AI-powered games faster | Inworld
pricing 64 23.7× 965 💰 Pricing
https://inworld.ai/blog/introducing-inworld-tts-1-5
Inworld TTS-1.5: Upgrading the #1 Ranked TTS Model with Production-Grade Latency, Expression and Stability
pricing 64 24.1× 989 💰 Pricing
https://inworld.ai/resources/inworld-vs-elevenlabs
The Best Elevenlabs Alternative: 20× Cheaper, Higher-Quality TTS | Inworld vs ElevenLabs
pricing 64 22.9× 1066 💰 Pricing
Showing 20 of 39 pages. Unlock full subpage table →
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/blog/ 21 64 0% 27.7× High JS Bloat
/resources/ 7 65 0% 36.0× High JS Bloat
/case-studies/ 1 51 1% 65.6× Bot Blocked
/contact/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 61 1% 61.9× Bot Blocked
/careers/ 1 35 1% 4205.3× Bot Blocked
/products/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 55 1% 88.8× Bot Blocked
/security/ 1 61 1% 34.9× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 39 pages
discord.gg ×33
platform.inworld.ai ×33
docs.inworld.ai ×33
artificialanalysis.ai ×7
youtube.com ×4
talkpal.ai ×3
github.com ×3
cartesia.ai ×2
🔄 Re-Crawl & Update 📡 Track this Domain

Scores update automatically each month. Create a free account for on-demand re-crawls (3/month free).

🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/inworld.ai

Get your free API key — 100 requests/month included.

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Domains with a similar tech stack, industry, and AI readiness profile to inworld.ai. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
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📊 Semantic Share of Voice

How often would an AI cite inworld.ai when users ask about topics in this domain's niche? We run entity queries through our 188k-page search index and measure citation probability.

Analyzing citation landscape…

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to inworld.ai. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 1% of your HTML is useful content. AI crawlers waste context window tokens on bloat.
html
<!-- Move inline CSS to external stylesheets -->
<link rel="stylesheet" href="/css/main.css">

<!-- Move inline scripts to external files with defer -->
<script src="/js/app.js" defer></script>

<!-- Remove duplicate navigation blocks -->
<!-- Keep only ONE <nav> in the <header> -->

<!-- Ensure <main> wraps your primary content -->
<main>
  <!-- Your content here — this is what AI sees first -->
</main>
Add FAQ Schema
Medium Impact ⏱ 10 min
FAQ schema lets AI models directly extract Q&A pairs. This is the easiest way to get featured in AI responses.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Inworld?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Inworld does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Inworld work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Inworld."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for inworld.ai:

Current Score
68
Projected Score
76
Improvement
+8 pts
Reduce token bloat +5 pts
Add FAQ schema +3 pts

*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.

📋 Data Export

Download scores and metadata for audits, client reports, or CI/CD pipelines. Exports contain computed metrics only (no copyrighted content).

All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).

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🧭 Self-Diffing (Private Layer)

For owned domains, combine this world snapshot with private drift + regression history.
Template Drift
Track in My Site
Drift → Traffic Impact
In development coming soon
Regression Incidents
Track in My Site
Internal Linking
Deep Audit graph
Semantic Structure
GEO view in Deep Audit
Content Quality
Thin/duplicate tracking

🕒 History

Score over timeAvailable in My Site history
Drift eventsTemplate timeline + incidents
Drift → Revenue AttributionComing soon
Schema/rendering/extractability changesTracked per scan in project history
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