phocassoftware.com 67 C
🛡️ SEO 50 🤖 GEO 68 ⚡ Perf 59 🏗️ Arch 100

phocassoftware.com — Global SEODiff Score 67/100

phocassoftware.com
📊

At 66/100, the ACRI for phocassoftware.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the infrastructure vertical, this places phocassoftware.com above the industry average of 57 —, suggesting strong competitive positioning in AI search. While the majority of content is server-rendered, the 15% ghost ratio suggests some content remains hidden from static crawlers. Token bloat registers at 10.8× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

67
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (50) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 7 snapshots
Feb 23 Mar 20
🔔 Recent AI Indexing Activity
🔄 Mar 15 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)68 × 0.40 = 27.2
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 12.5 + 27.2 + 11.8 + 15.0
Global SEODiff Score = 67 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
94
Rendering
avg 93
36
Structure
avg 35
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 14%
Rank #139714
+30 pts
Gap
AI (ACRI)
Top 43%
Score 66/100

phocassoftware.com 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 phocassoftware.com ranks here

Tech stackCustom / Proprietary
RenderingHybrid
Schema coverage1 blocks
Token bloat10.8×

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

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

69 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

153 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 9
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.phocassoftware.com
  • ✓ 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 — Phocas Software | Business Intelligence & Financial Analysis Software
  • ✓ og:description — FP&A tools that combines BI, Financial Reporting, Planning, Budgeting & Forecasting. Understand the past, operate better today, and plan for the future.
  • ✗ og:image
  • ✓ twitter:card — summary
📐 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

68/100 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 infrastructure sector, safely.co.jp (ACRI: 90) 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 →
phocassoftware.com
49
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. 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 15%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 36/100 — Low
Structured Elements 71 elements (71 lists, 0 rows, 0 headers)
Total Words1847
Raw Density3.8%
💡Low structure score (36/100). Your content appears as a wall of text with few structured HTML elements. You have 71 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 ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

0/7 schema types detected
❌ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
❌ WebSite
💡Organization schema missing. AI models cannot identify your brand entity. Without it, your brand won't appear in Knowledge Panels or be associated with your content.
💡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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

44
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability44/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

9%
🗑️ 91%
Useful Content (15.8 KB)Bloat (154.8 KB)
Token Bloat Ratio10.8× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage105 / 105 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 90.8% · SNR: 0.10 · Signal: 4032 / Noise: 39636 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…
🧠

The LLM Interpretation

AI-VERIFIED

SEODiff AI analyzed the extracted content of phocassoftware.com and produced this structured business intelligence. Fields marked SEMANTIC VOID indicate information the AI could not find — a critical gap in your site’s machine-readability.

Core Offering
Phocas is a SaaS BI and FP&A platform designed for wholesale distribution, manufacturing, and retail businesses, providing a unified solution for data analysis and planning.
Target Audience
Wholesale distributors, manufacturers, retail businesses, business analysts, finance professionals, FP&A teams
Pricing Model
Subscription-based, with tiered pricing based on user count and features. Details available upon request.
🔗 Integration Partners
EpicorInforSageKlipboardSAPOracle NetSuite
🏆 Competitive Moat
AI-powered sprint planning with real-time resource optimization, combined with a user-friendly platform and strong ERP integration.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
ERP integration pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-07

🔧 Tech Stack

AI-Readiness Score50/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time592 ms
Raw HTML Size170.6 KB
Visible Text Size15.8 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

592 ms
Acceptable — room for improvement

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

📦 Page Weight

1215
DOM nodes
171 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate
  • ✗ CDN cache status
  • ✓ CDN detected → cloudflare

🔬 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

100/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.phocassoftware.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

206
internal links
12
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 49/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for phocassoftware.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/phocassoftware.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=phocassoftware.com" 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 10 pages · Deep-10

Homepage ACRI
49
Single-page score
-12
Moderate hidden bloat
Δ delta
Site-Wide ACRI
38
Avg across 10 pages · Range 0–72
🔍
Hidden Bloat Detected

Homepage scores 49, but internal pages average only 38 — a -12-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
7%
Topical Drift
TF-IDF cosine similarity
Total Words
7933
Avg Bloat
20.3×
RAG Fractures [?]
2
⚠️
2 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 2 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://phocassoftware.com/products
BI + financial planning and analysis platform | Phocas Software
pricing 72 18.5× 1875 💰 Pricing
https://phocassoftware.com/about
About us | Phocas makes people feel good about data
pricing 64 17.6× 1450 💰 Pricing
https://phocassoftware.com/blog
Business Intelligence + FP&A Blog | Phocas Software
pricing 64 45.1× 778 💰 Pricing
https://phocassoftware.com/case-studies
Case studies | Phocas Software
pricing 64 44.1× 2274 ⚠️ RAG Fracture
https://phocassoftware.com/contact
Contact Phocas | Phocas Software
pricing 59 31.7× 765 ⚠️ RAG Fracture
https://phocassoftware.com/integrations
Integrations with Phocas Software
pricing 56 46.3× 791 💰 Pricing
https://phocassoftware.com/pricing pricing 0 0.0× 0
https://phocassoftware.com/features product 0 0.0× 0
https://phocassoftware.com/docs docs 0 0.0× 0
https://phocassoftware.com/faq support 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/products/ 1 72 0% 18.5× High JS Bloat
/blog/ 1 64 0% 45.1× High JS Bloat
/case-studies/ 1 64 0% 44.1× High JS Bloat
/integrations/ 1 56 0% 46.3× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 64 0% 17.6× High JS Bloat
/contact/ 1 59 0% 31.7× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
bcorporation.net ×6
pug.phocassoftware.com ×6
docs.phocassoftware.com ×6
facebook.com ×6
linkedin.com ×6
portal.usepylon.com ×6
youtube.com ×6
instagram.com ×6
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

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

curl https://seodiff.io/api/v1/deep10/domain/phocassoftware.com

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📊 Semantic Share of Voice

How often would an AI cite phocassoftware.com 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 phocassoftware.com. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Add Organization JSON-LD
High Impact ⏱ 5 min
AI models cannot identify your brand entity without Organization schema. This is the #1 fix for AI visibility.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Phocassoftware",
  "url": "https://phocassoftware.com",
  "logo": "https://www.phocassoftware.com/hubfs/favicon.png",
  "sameAs": []
}
</script>
Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Phocassoftware",
  "url": "https://phocassoftware.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://phocassoftware.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 9% 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 Phocassoftware?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Phocassoftware does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Phocassoftware work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Phocassoftware."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for phocassoftware.com:

Current Score
66
Projected Score
84
Improvement
+18 pts
Add Organization schema +6 pts
Add WebSite schema +4 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

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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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