With a solid 81/100 ACRI, selector.ai is well-positioned for AI search — better than 95% of sites in the Radar. Within the finance vertical, this places selector.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. The bloated 30.7× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.
59
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (34) needs urgent attention.
Top Fix: Reduce token bloat (31×) → +5–10 pts
Does your site score higher than selector.ai?
Run the same 40-signal audit on your own domain — free, instant results.
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)59 × 0.25 = 14.8
🤖 AI Readiness / GEO (40% weight)66 × 0.40 = 26.4
⚡ Performance (20% weight)34 × 0.20 = 6.8
🏗️ Architecture & Trust (15% weight)72 × 0.15 = 10.8
Weighted sum = 14.8 + 26.4 + 6.8 + 10.8
Global SEODiff Score = 59 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
54
Structure
avg 35
44
Schema
avg 10
85
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #959822
-90 pts
Gap
AI (ACRI)
Top 5%
Score 81/100
selector.ai ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 5%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →
Why selector.ai ranks here
Fastest improvements
- Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
- Create an
llms.txtfile 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 →
Traditional SEO
59/100 25 % of Global Score 🟢 High Confidence📝 Title Tag
85 chars
Too long
Optimal range: 30–60 characters for SERP display.
📋 Meta Description
0 chars
Missing
Optimal range: 120–160 characters for snippet control.
🔤 Heading Hierarchy
- ✓ Exactly 1 <h1> tag — found 1
- ✓ Has <h2> headings — found 15
- ✓ <h2> not before <h1>
🔍 Indexability
- ✓ Canonical tag present →
https://www.selector.ai/ - ✓ No noindex directive
- ✓ Meta viewport set
- ✓ HTML lang attribute →
en-US - ✓ Hreflang tags
- ✓ Googlebot allowed by robots.txt
🌐 Social / OpenGraph
- ✓ og:title — Supercharge Your Network with AI: Intelligent Issue Detection & Resolution
- ✓ og:description — Reduce MTTR by 85%. Get results instantly. From alert to action in minutes Selector is the AI-powered network observability solution that unifies data and automates insights, helping teams cut through noise, simplify operations, and reduce MTTR across the stack. Request a Demo See it in action 95% Noise reduction 10x Faster RCA 70% Fewer incidents You can’t keep up with chaos alone Today’s hybrid networks move faster than humans can monitor. Dashboards multiply, alerts flood in, and teams lose context. Selector changes that, using AI to understand your operations, not just observe them. How selector turns data into understanding Behind the scenes, Selector’s AI continuously learns, reasons, and explains — giving you real-time clarity across every layer. Ingest everything Connect to logs, metrics, configs, flows, APIs, and more — on-prem or in the cloud. Understand context AI learns relationships and patterns across domains — without rules or thresholds. Explain & act Copilot translates complex telemetry and dashboards into clear actions or automated fixes. Learn & predict Every incident makes the system smarter, anticipating impact before it happens. One platform. Total visibility. Real intelligence. Selector unifies every signal — logs, metrics, configs, topology — into a single AI layer that sees, reasons, and acts. AI correlation & insights Understand what’s happening — no rules, no noise. Operational digital twin Visualize dependencies, predict impact, prevent outages. Network LLM & copilot Ask in plain English. Get instant answers and automations. Full-stack observability End-to-end visibility from packet to app, powered by AI. How Selector’s AI thinks Selector’s multi-layer AI doesn’t just detect problems — it understands relationships, behaviors, and intent. It learns, reasons, and explains every event in context. Ingest & enrich Ingests diverse data sources and enriches them with context and topology. Learning & understanding Learns normal behavior and clusters logs into meaningful patterns. Reactive intelligence AI Correlation engine Connects related events in real time. Causation layer Pinpoints the true root cause. Proactive intelligence Trends & prediction Detects recurring issues and trends. Predictive analytics Anticipates risks before they impact users. LLM-powered copilot Converts complex correlations into plain-language insights and safe, guided automations. Action layer Delivers actions to ITSM or chat platforms (ServiceNow, Slack, etc.) automatically. Feedback & Continuous Learning Integrate anything. Understand everything. Connect logs, metrics, configs, and topology from over 300 data sources. Selector unifies your data into a single model that powers AI reasoning, visualization, and insights. View all integrations Real impact, real results Selector helps global enterprises reduce MTTR, unify visibility, and build resilient systems across every network domain. Unify visibility & accelerate data center migration A global fintech provider used Selector to unify visibility across hybrid networks and automate data correlation, cutting migration timelines by 60%. Learn more Reduce alert noise & predict issues before they impact users A global telecom carrier deployed Selector to automate correlation across 20,000+ devices, reducing alert noise by 60% and improving predictive intelligence. Learn more Gain end-to-end visibility across distributed stores A major U.S. retailer improved uptime across 2,000+ locations with Selector’s real-time topology mapping and cross-domain event correlation. Learn more Cut MTTR and alert fatigue across thousands of sites A global hospitality leader used Selector to unify telemetry across wired and wireless networks, reducing troubleshooting time by 85%. Learn more Unify visibility & accelerate data center migration A global fintech provider used Selector to unify visibility across hybrid networks and automate data correlation, cutting migration timelines by 60%. Learn more Reduce alert noise & predict issues before they impact users A global telecom carrier deployed Selector to automate correlation across 20,000+ devices, reducing alert noise by 60% and improving predictive intelligence. Learn more Gain end-to-end visibility across distributed stores A major U.S. retailer improved uptime across 2,000+ locations with Selector’s real-time topology mapping and cross-domain event correlation. Learn more Cut MTTR and alert fatigue across thousands of sites A global hospitality leader used Selector to unify telemetry across wired and wireless networks, reducing troubleshooting time by 85%. Learn more Why teams switch to Selector Legacy tools collect data. Selector connects the dots — giving teams answers instead of alerts. Traditional tools Root cause analysis Manual correlation, rule-based Patented AI correlation—instant root cause across all domains Troubleshooting Query multiple dashboards, search logs Network Language Model—ask questions in plain English Topology & impact Static topology maps, outdated diagrams Live Digital Twin with real-time topology and what-if simulation Visibility Fragmented tools for network, infra, apps Full-stack L1-L7 in one platform Alert intelligence Rule-based, requires constant tuning AI-native anomaly detection—zero tuning required Team workflow Tool switching, manual investigation Copilot in Slack/Teams/CLI—resolve without leaving workflow Deployment Months of configuration and integration 300+ integrations — live in weeks Request a Demo See it in action
- ✓ 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
66/100 40 % of Global Score 🟢 High ConfidenceThis pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.
Insight: In the finance sector,
unlimit.com
(ACRI: 82) 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 →
AI models prioritize pages with strong semantic structure and schema coverage.
unlimit.com has schema coverage of 1 blocks
and uses WordPress.
Improve your score by implementing the remediation patches below.
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
📊 Structure & Information Density Docs
Structure Grade
54/100 — Fair
Structured Elements
159 elements (159 lists, 0 rows, 0 headers)
Total Words1816
Raw Density8.8%
🏷️ Schema Health Docs
Organization Schema
✅ Present
Product / Service Schema
⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)
Schema Coverage Map
3/7 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.
FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.
📐 AI Efficiency Metrics Docs
55
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability55/100 — AI models can partially extract answers from this page
Crawl CostHigh (85/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked
Token Bloat Research
Useful Content (38.1 KB)Bloat (1130.1 KB)
Token Bloat Ratio30.7× — Bloated
Multimodal Readiness
Visual Context31% Optimized for Vision
Image Alt Coverage10 / 32 images have alt text
TDM Rights
TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
Your HTML is 1168.1 KB, but only 38.1 KB is text. 3% useful / 97% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (30.7×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
Only 31% 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: 96.7% ·
SNR: 0.03 ·
Signal: 9742 / Noise: 289294 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.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖
AI Answer Preview
NEWSee how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.
Simulating AI extraction…
🔧 Tech Stack
FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN—
HTTP Status200
Load Time1617 ms
Raw HTML Size1168.1 KB
Visible Text Size38.1 KB
Performance & Speed
34/100 20 % of Global Score 🟢 High Confidence⏱️ Time to First Byte
1617 ms
Slow — bots may time out or deprioritise
Google considers <200 ms "good". AI crawlers may have even shorter timeouts.
📦 Page Weight
2485
DOM nodes
DOM nodes
1168 KB
HTML payload
HTML payload
Heavy page — consider reducing DOM complexity
🗄️ Cache & CDN
- ✓ Cache-Control header →
max-age=604800, must-revalidate - ✗ CDN cache status
- ✗ CDN detected
🔬 Tracker Tax
0
tracker scripts
tracker scripts
0
third-party domains
third-party domains
0.0%
token overhead
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
72/100 15 % of Global Score 🟢 High Confidence🗺️ Sitemap & Robots
- ✓ Sitemap declared in robots.txt →
https://www.selector.ai/sitemap_index.xml - ✓ Googlebot allowed
- ✓ GPTBot allowed
- ✓ ClaudeBot allowed
🔗 Linking
157
internal links
internal links
9
external links
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-US
- ✓ 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 60/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/selector.ai" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=selector.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.
🔗 Similar finance Sites
Domains with a similar tech stack, industry, and AI readiness profile to selector.ai. Compare side-by-side.
| Domain | ACRI | AI Score | Tech Stack | Token Bloat | Schema | |
|---|---|---|---|---|---|---|
| selector.ai (this site) | 60 | 81 | WordPress | 30.7× | 2 | — |
| riadatabase.com | 60 | 83 | WordPress | 30.1× | 1 | Compare → |
| frankenmuthcu.org | 59 | 75 | WordPress | 30.3× | 1 | Compare → |
| galaxpay.com.br | 60 | 79 | WordPress | 29.7× | 1 | Compare → |
| cel.cash | 60 | 79 | WordPress | 29.7× | 1 | Compare → |
| worldbusinessoutlook.com | 58 | 79 | WordPress | 30.7× | 1 | Compare → |
🩹
Remediation Patches
COPY-PASTEAuto-generated code fixes tailored to selector.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 3% 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 Selector?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add your answer here — describe what Selector does in 1-2 sentences."
}
},
{
"@type": "Question",
"name": "How does Selector work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Explain the key features and how users interact with Selector."
}
}
]
}
</script>
📈
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for selector.ai:
Current Score
81
Projected Score
89
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).
Is this your company?
Monitor your AI visibility score weekly and get alerted when changes happen.
Start Free →🧭 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
Orphans & Hubs
Deep Audit sections
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