freddiemac.com 75 B
🛡️ SEO 57 🤖 GEO 87 ⚡ Perf 65 🏗️ Arch 86

freddiemac.com — Global SEODiff Score 75/100

freddiemac.com
📊

At 82/100, the ACRI for freddiemac.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the infrastructure sector, freddiemac.com outperforms the average (57), suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. With a 3.2× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. The site includes 3 schema blocks, providing adequate structured data for basic entity recognition. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

75
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (57) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Mar 1 Mar 21
🔔 Recent AI Indexing Activity
📈 Mar 19 ACRI +2 (70→72)
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)57 × 0.25 = 14.2
🤖 AI Readiness / GEO (40% weight)87 × 0.40 = 34.8
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)86 × 0.15 = 12.9
Weighted sum = 14.2 + 34.8 + 13.0 + 12.9
Global SEODiff Score = 75 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
64
Structure
avg 35
46
Schema
avg 9
75
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 1%
Rank #10436
Aligned
Gap
AI (ACRI)
Top 4%
Score 82/100

freddiemac.com has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why freddiemac.com ranks here

Tech stackCloudflare Pages
RenderingSSR
Schema coverage3 blocks
Token bloat3.2×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

57/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

49 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

123 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 5
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.freddiemac.com/home
  • ✓ 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 — Freddie Mac - We Make Home Possible
  • ✓ og:description — We are supporting America's homeowners and renters while serving as a stabilizing force in the U.S. housing finance system.
  • ✓ og:image — preview
  • ✓ 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

87/100 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 →
freddiemac.com
72
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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 64/100 — Good
Structured Elements 122 elements (122 lists, 0 rows, 0 headers)
Total Words980
Raw Density12.4%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks3 blocks

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

75
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability75/100 — AI models can easily 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

31%
🗑️ 69%
Useful Content (30.7 KB)Bloat (68.9 KB)
Token Bloat Ratio3.2× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage8 / 8 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

45 Entropy
Fair Token Bloat: Medium
Noise Ratio: 69.2% · SNR: 0.45 · Signal: 7850 / Noise: 17635 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 freddiemac.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
Freddie Mac provides liquidity, stability, and affordability to the U.S. housing market by purchasing mortgage loans from lenders and securitizing
Target Audience
Mortgage lenders, investors, housing finance professionals, and government agencies involved in the U.S. housing market.
Pricing Model
⚠ SEMANTIC VOID
🔗 Integration Partners
CHOICEHomeDPA OneK-DealSB Certificates
🛡️ Compliance Standards
SOFRGDPR
🏆 Competitive Moat
AI-powered underwriting and risk assessment tools (Loan Product Advisor, AIM) combined with a vast portfolio of mortgage loans and a commitment to stability in the housing market.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

AI-Readiness Score75/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time555 ms
Raw HTML Size99.6 KB
Visible Text Size30.7 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

555 ms
Acceptable — room for improvement

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

📦 Page Weight

982
DOM nodes
100 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=2592000, public
  • ✓ CDN cache status → HIT
  • ✓ 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

86/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

139
internal links
25
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 72/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for freddiemac.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/freddiemac.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=freddiemac.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 150 pages · Deep-10

Homepage ACRI
72
Single-page score
-9
Moderate hidden bloat
Δ delta
Site-Wide ACRI
63
Avg across 150 pages · Range 0–85
Topical Cohesion
12%
Topical Drift
TF-IDF cosine similarity
Total Words
144626
Avg Bloat
36.5×
RAG Fractures [?]
9
⚠️
9 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 9 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.freddiemac.com/research/insight/20181205-major-challenge-to-u.s.-housing-supply
The Major Challenge of Inadequate U.S. Housing Supply - Freddie Mac
other 85 7.0× 3472
https://www.freddiemac.com/perspectives/michael-devito-christian-lown/transcript-freddie-mac-ceo-and-cfo-discuss-fourth
Transcript: Freddie Mac CEO and CFO Discuss Fourth Quarter and Full-Year 2022 Financial and Business Results - Freddie Mac
pricing 85 9.3× 2455 💰 Pricing
https://www.freddiemac.com/research/insight/20200107-family-budget-burdens
Family Budget Burdens Squeezing Housing: Child Care Costs - Freddie Mac
other 85 8.3× 2811
https://www.freddiemac.com/research/insight/20200716-identifying-accessory-dwelling-units-from-real-estate
Granny Flats, Garage Apartments, In-Law Suites: Identifying Accessory Dwelling Units from Real Estate Listing Descriptions Using Text Mining - Freddie Mac
other 85 8.9× 2804
https://www.freddiemac.com/research/insight/20210128-population-growing
U.S. Population Growth: Where is housing demand strongest? - Freddie Mac
other 85 7.4× 3798
https://www.freddiemac.com/research/insight/20220609-what-drove-home-price-growth-and-can-it-continue
What Drove Home Price Growth and Can it Continue? - Freddie Mac
pricing 85 8.7× 2866 💰 Pricing
https://www.freddiemac.com/research/insight/20220316-sea-level-rise-and-impact-home-prices-coastal-florida
Sea Level Rise and Impact on Home Prices in Coastal Florida - Freddie Mac
pricing 85 7.4× 3650 ⚠️ RAG Fracture
https://www.freddiemac.com/perspectives/michael-devito-christian-lown/transcript-freddie-mac-ceo-and-cfo-discuss-first
Transcript: Freddie Mac CEO and CFO Discuss First Quarter 2023 Financial and Business Results - Freddie Mac
pricing 85 10.0× 2250 ⚠️ RAG Fracture
https://www.freddiemac.com/perspectives/michael-devito-christian-lown/freddie-mac-ceo-and-cfo-discuss-third-quarter-2023
Freddie Mac CEO and CFO Discuss Third Quarter 2023 Financial and Business Results - Freddie Mac
pricing 85 9.7× 2329 💰 Pricing
https://www.freddiemac.com/perspectives/jim-whitlinger/transcript-freddie-mac-cfo-discusses-fourth-quarter-and-full-year-2024
Transcript: Freddie Mac CFO Discusses Fourth Quarter and Full-Year 2024 Financial and Business Results - Freddie Mac
pricing 85 9.7× 2343 💰 Pricing
https://www.freddiemac.com/perspectives/jim-whitlinger/transcript-freddie-mac-cfo-discusses-fourth-quarter-and-full-year-2025
Transcript: Freddie Mac CFO Discusses Fourth Quarter and Full-Year 2025 Financial and Business Results - Freddie Mac
pricing 85 9.1× 2537 💰 Pricing
https://www.freddiemac.com/research/insight/20200227-the-housing-supply-shortage
The Housing Supply Shortage: State of the States - Freddie Mac
other 85 9.0× 2589
https://www.freddiemac.com/research/insight/20200910-unravelling-perceptions-of-flood-risk
Unravelling Perceptions of Flood Risk: Examining Changes in Home Prices in Harris County, Texas in the Aftermath of Hurricane Harvey - Freddie Mac
pricing 85 8.0× 3007 ⚠️ RAG Fracture
https://www.freddiemac.com/research/insight/20201117-mortgage-forbearance-rate-during-COVID-19
Mortgage Forbearance Rates during the COVID-19 Crisis - Freddie Mac
pricing 85 9.1× 2595 💰 Pricing
https://www.freddiemac.com/about/faqs
Frequently Asked Questions - Freddie Mac
about 75 11.5× 1847
https://www.freddiemac.com/about/faq
Freddie Mac Frequently Asked Questions - Freddie Mac
about 75 11.4× 1842
https://www.freddiemac.com/about/leaders
Our Leaders - Freddie Mac
pricing 75 10.5× 2543 ⚠️ RAG Fracture
https://www.freddiemac.com/about
About Us - Freddie Mac
pricing 75 17.4× 1310 💰 Pricing
https://freddiemac.com/about
About Us - Freddie Mac
pricing 75 17.4× 1310 💰 Pricing
https://www.freddiemac.com/investors/faq
Freddie Mac - Freddie Mac
support 75 14.9× 1302
Showing 20 of 100 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
/research/ 58 69 0% 27.2× High JS Bloat
/perspectives/ 31 75 0% 16.7× High JS Bloat
/about/ 19 65 0% 42.9× High JS Bloat
/investors/ 14 56 0% 71.4× High JS Bloat
/governance/ 9 53 0% 100.1× High JS Bloat
/pmms/ 5 61 0% 54.0× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/research-and-perspectives/ 1 57 0% 84.0× High JS Bloat
/styleguide/ 1 57 0% 52.2× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/home/ 1 57 0% 59.8× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 150 pages
twitter.com ×142
facebook.com ×142
sf.freddiemac.com ×142
capitalmarkets.freddiemac.com ×142
youtube.com ×142
privacyportal.onetrust.com ×142
careers.freddiemac.com ×142
linkedin.com ×142
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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/freddiemac.com

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📊 Semantic Share of Voice

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

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 Freddiemac?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Freddiemac does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Freddiemac work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Freddiemac."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
82
Projected Score
85
Improvement
+3 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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