Page-Level Semantic Analysis for Technology & SaaS

Find Out Why AI
Ignores Your Content
- And Exactly How to Fix It

Get specific fixes, not just scores. See which entities need definitions, which relationships are missing, and exactly what to rewrite.

Calibrated For Technology & SaaS Content

Why we built for tech first

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7-day free trial • Full access • Cancel anytime

Research-Validated MetricsTechnology-Calibrated60-Second Results7-Day Free Trial

Technology Content Only: This analyzer is calibrated for Technology, SaaS, Developer Tools, and Cloud Infrastructure content. Analyzing content from other industries (Healthcare, Finance, etc.) will produce unreliable results.

Optimized for retrieval by:

⚡

60 Seconds

Analysis Time

🔧

~15 Minutes

Avg. Fix Implementation

📊

Core Metrics

📚

1,200+

Tech Articles Trained

The Problem With Content Scores

Scores Without Fixes Are Useless

What other tools tell you	What you actually need
“Your content score is 67/100”	“Entity ‘usage-based pricing’ appears 6 times but is never defined”
“Entity coverage needs improvement”	“Add this 2-sentence definition in paragraph 3”
“Consider adding more semantic depth”	“Connect ‘pricing strategy’ to ‘customer value’ with this bridging sentence”

How It Works

Three steps to actionable semantic fixes

Paste URL or Text

Enter any public URL or paste your draft content directly

We Extract Semantic Structure

60 seconds to identify entities, map relationships, predict retrieval

Get Your Prioritized Fix List

Specific recommendations with example rewrites you can copy

Learn how our semantic analysis works →

How DecodeIQ Compares

Capability	Keyword Tools (Clearscope, Surfer)	AI Writing Tools (Jasper, Copy.ai)	DecodeIQ
Entity extraction & analysis	○	○	●
Specific fix recommendations	○	○	●
AI retrieval prediction	○	○	●
Relationship mapping	○	○	●
Keyword optimization	●	○	○
Content generation	○	●	○

DecodeIQ doesn't replace your SEO tools or AI writers — it fills a gap they can't: semantic analysis and specific fixes for AI retrieval.

What You Get In Every Report

Entity Gap Analysis

See exactly which concepts are defined, which are mentioned but undefined, and which critical entities are completely missing from your content.

Defined (AI can reference)

Mentioned but undefined

Missing entirely

Prioritized Fix List

Not just problems — solutions. Each fix includes priority level, estimated effort, and example text you can adapt.

# High Priority (5 min)

Add definition for “usage-based pricing”

Example: “Usage-based pricing charges customers based on...”

Retrieval Prediction

Know which queries your content is likely to be retrieved for, uncertain on, or will probably miss entirely.

“what is usage-based pricing”Likely

“pricing model comparison”Uncertain

“best pricing for startups”Unlikely

Relationship Mapping

Visualize how your concepts connect. Strong relationships help AI understand context; weak or missing ones create blind spots.

Strong connection

Weak connection

Missing connection

Two Ways to Use It

Audit Existing Content

Why isn't my content showing up in AI?

✓Analyze published pages that should rank but don't
✓Find semantic gaps competitors have filled
✓Get specific fixes without rewriting from scratch

Validate Before Publishing

Will AI systems actually retrieve this draft?

✓Check drafts before they go live
✓Catch missing definitions early
✓Build retrieval-ready content from the start

Built for Tech, Not Everything

Our semantic models are trained specifically on technology content patterns.

Works Great For

✓ SaaS product documentation
✓ Developer tool guides
✓ Cloud infrastructure content
✓ API and integration articles
✓ Technical comparison pieces

Not Calibrated For

✕ Healthcare / Medical content
✕ Legal or financial advice
✕ News or journalism
✕ E-commerce product descriptions
✕ Entertainment or lifestyle

Sample Report Preview

What you'll get when you analyze a page

example.com/blog/usage-based-pricing-guide

Semantic Metrics

Semantic Density

2.1%Below Target (4-6%)

Contextual Coherence

67Needs Work (Target: 80+)

Retrieval Confidence

72Good (Target: 60+)

Entity Analysis

✓12 Defined entities

⚠4 Undefined entities

✕3 Missing entities

Top FixHigh Impact

Define “usage-based pricing”

This term appears 6 times but is never explained.

Suggested text:

“Usage-based pricing is a billing model where customers pay based on their actual consumption of a product or service, rather than a flat subscription fee.”

📍 Add after first mention in paragraph 2⏱ Effort: ~2 minutes

Get your full report with all fixes and example rewrites

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Three Core Metrics

Every report includes these research-validated measurements

Semantic Density

0-10% • Target: 4-6%

Entity concentration per 1,000 words. Measures relationship depth and concept specificity. Low density means content lacks sufficient entity structure for AI retrieval.

Contextual Coherence

0-100 • Target: 80+

Logical flow consistency score. Evaluates how well concepts chain together across segments. Low coherence means scattered topical focus that retrieval systems struggle to categorize.

Retrieval Confidence

0-100 • Target: 60+

Likelihood of being surfaced in AI-driven search results. Based on semantic proximity to high-performing technology content corpus (n=1,200+ articles).

View Full Methodology

Simple Pricing

7-day free trial on all plans. Cancel anytime.

Basic

$29/month

✓10 pages/month
✓Basic report (scores + entity analysis)
✓Top 3 fixes only
✓48-hour report history

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Starter

$49/month

✓30 pages/month
✓Full report + example fixes
✓All fixes with example rewrite text
✓30-day report history

Start Free Trial

Pro

$149/month

✓100 pages/month
✓Full report + example fixes
✓Unlimited report history
✓Export (PDF/CSV)
✓Coming soon

Start Free Trial

All plans include a 7-day free trial. Credit card required. Cancel before trial ends and you won't be charged.

Frequently Asked Questions

What does “semantic analysis” mean?▼

Semantic analysis examines meaning, not just keywords. It identifies the concepts (entities) in your content, how they're defined, and how they relate to each other. This is what AI systems use to understand and retrieve content.

What types of content can I analyze?▼

Any public URL or text content. Blog posts, product pages, documentation, guides, landing pages — as long as it's technology, SaaS, or developer-focused content. Our models aren't calibrated for healthcare, finance, or general consumer content.

How is this different from Clearscope or Surfer?▼

Clearscope and Surfer optimize for keywords and search intent. We analyze semantic structure — the entities, definitions, and relationships that AI systems use for retrieval. Different tools for different problems. Many teams use both.

How accurate are the retrieval predictions?▼

In testing against actual AI retrieval results, our predictions align 78% of the time for “likely” content and 85% for “unlikely” content. The “uncertain” category is where content could go either way.

Can I analyze competitor pages?▼

Yes. Any public URL works. Analyzing competitor content shows you what entities they've defined and what relationships they've built, so you can identify gaps or opportunities.

What happens to my content after analysis?▼

Content is processed for analysis only. We don't store your full content or train models on it. Reports are retained according to your plan's history limits (48h to unlimited).

Do I need to change my workflow?▼

No. Paste a URL or text, get a report, implement the fixes. You can integrate this into any existing content workflow — before publishing as a check, or after to audit existing content.

Stop Guessing. Start Fixing.

Get specific semantic fixes for your content in 60 seconds.

Start Free Trial

Find Out Why AIIgnores Your Content- And Exactly How to Fix It

Scores Without Fixes Are Useless

How It Works

Paste URL or Text

We Extract Semantic Structure

Get Your Prioritized Fix List

How DecodeIQ Compares

What You Get In Every Report

Entity Gap Analysis

Prioritized Fix List

Retrieval Prediction

Relationship Mapping

Two Ways to Use It

Why isn't my content showing up in AI?

Will AI systems actually retrieve this draft?

Built for Tech, Not Everything

Works Great For

Not Calibrated For

Sample Report Preview

Three Core Metrics

Semantic Density

Contextual Coherence

Retrieval Confidence

Simple Pricing

Basic

Starter

Pro

Frequently Asked Questions

Stop Guessing. Start Fixing.

Find Out Why AI
Ignores Your Content
- And Exactly How to Fix It