AI Content Studio

AI-Optimized Content
That Ranks.

Research your competitors, write with live NLP scoring, and publish when your content scores higher than the top results. A closed loop that turns first drafts into first-page rankings.

See the Editor
50
Competitors Analyzed
NLP
Term Scoring
4
E-E-A-T Signals
1-click
WP Publish
The Content Loop

Research. Write. Score. Repeat.

Every content session is a loop, not a one-shot. The system iterates until your content outscores the current top rankers.

Step 1

Research

Analyze 50 top-ranking competitor pages, extract NLP terms and structure.

Step 2

Write

AI draft pre-loaded with NLP terms and your brand voice. Edit live in the studio.

Step 3

Score

Live NLP score vs. top-10. Under target? Auto-rewrite and re-score.

Publish

Ship It

Score met. AI detection check passed. Publish to WordPress or export HTML.

The Editor

Write and score in the same window

The live score sidebar updates as you type. No save-and-analyze cycle — feedback is instant.

B I U H1 H2 H3
1,847 words Autosaved
How Near-Infrared Spectroscopy Measures Grain Moisture Content
What is NIR spectroscopy?

Near-infrared spectroscopy (NIR) is a rapid analytical technique that uses the absorption of near-infrared light (700–2500 nm) to determine the chemical composition of agricultural products without destructive sampling.

Unlike traditional wet chemistry methods, NIR delivers results in under 60 seconds. When calibrated against reference samples, a single scan measures moisture content, protein, fat, starch, and fiber simultaneously.

How grain moisture measurement works

The NIR instrument directs a broadband light source at the grain sample. Specific wavelength absorption bands correspond to molecular vibrations of O-H bonds — the primary indicator of water content. Partial least squares (PLS) regression translates the spectral data into a moisture percentage reading calibrated to reference measurements...

Primary NLP term used
Secondary NLP term used
Content Score
84 /100
Above top-10 average (76)
Keyword Density
NIR spectroscopy 1.4%
moisture content 1.1%
grain analysis 0.6%
Readability
Flesch-Kincaid 58
Avg sentence length 18 words
Passive voice 9%
vs. Top 10
Your score 84
Top-10 average 76
Top-10 max 91
Above average — ready to publish
NeuronWriter Integration

Powered by NeuronWriter API.
Research 50 top-ranking pages.

Before generating a word, CloviSEO uses the NeuronWriter API to analyze the top 50 ranking pages for your target keyword. It extracts NLP terms, semantic entities, heading structures, and content gaps — then pre-loads your AI draft with everything it needs to win.

NLP term extraction & injection

Key semantically related phrases from the top-ranking content are surfaced and inserted into the draft prompt automatically.

Content gap detection

Topics and subtopics covered by top rankers but missing from your content are flagged and added to the brief.

Live scoring against the same benchmark

As you write, your score is compared to the NeuronWriter-derived average of the top 10. No guesswork about what "good" means.

NLP Terms — grain moisture NIR
moisture content calibration near-infrared grain quality PLS regression absorption bands spectral analysis wheat grain diffuse reflectance dry matter basis reference method AACC standard
Term coverage in your draft
9/12

3 terms still unused: dry matter basis, AACC standard, diffuse reflectance

CloviHuman Integration

Run AI detection scan
before publishing.

With one click, CloviSEO sends your content through CloviHuman — the AI-detection and humanization engine. Any content flagged as AI-generated is rewritten in a multi-pass humanization pipeline until it reads as authentic, expert-authored text.

Detection score visible before every publish
Multi-pass rewrite pipeline preserves your key facts and NLP terms
Publish blocked if AI score remains above threshold (configurable)
AI Detection Score
Before humanization 87%

Detected as AI-generated. Not safe to publish.

After humanization 12%

Reads as human-written. Safe to publish.

Powered by CloviHuman — the AI detection and humanization engine
Google's E-E-A-T Signals

Content built for
Experience, Expertise, Authority, Trust.

CloviSEO audits and guides your content against all four E-E-A-T dimensions that Google's quality raters evaluate.

Experience

First-hand experience signals include personal anecdotes, specific case data, original research, and unique data points not found in generic sources.

Checks for first-person accounts and specific examples
Flags pages that only paraphrase existing sources
Prompts for original statistics or case references
Expertise

Expertise is demonstrated through depth, accuracy, correct use of technical terminology, and structured argument — not keyword density.

NLP term coverage validates topical depth
Author bio schema injection for bylines
Cited sources and reference links encouraged
Authoritativeness

Authority is built through backlink context, brand mentions, and being cited by other authoritative domains. CloviSEO guides on-page signals that support authority.

Checks for outbound links to authoritative sources
Structured data for Organization and Author
About/team pages flagged if missing from site
Trustworthiness

Trust signals include SSL, clear authorship, transparent editorial policies, factual accuracy, and absence of misleading claims.

Fact-check gate — 8/10 accuracy score required
SSL and security audit via CloviScan
Contact page and privacy policy presence checked
Content Brief Generator

From topic to brief in 10 seconds

Enter a topic and get a 3-section content brief with target keyword, NLP term list, and structural outline — ready to hand to a writer or feed directly into the AI editor.

Content brief generated
Target Keyword
NIR spectroscopy dairy fat
Search volume880/mo
Keyword difficulty38/100
Avg top-10 word count2,140 words
Featured snippet presentYes — definition format
NLP Terms to Include
fat content milk fat percentage calibration model diffuse reflectance ISO 9622 Gerber method partial least squares whole milk powder rapid analysis
Recommended Structure
H1 How NIR Spectroscopy Measures Fat Content in Dairy Products
H2 What is NIR spectroscopy? (definition, include featured snippet format)
H2 Why measure dairy fat — the industrial context
H2 How NIR calibration models are built for fat analysis
H2 NIR vs. Gerber method and ISO 9622 — accuracy comparison
H3 Key limitations and calibration maintenance requirements
H2 Conclusion + FAQ section (PAA questions included)
Publish & Export

One-click publish. Zero formatting fixes.

CloviSEO pushes your article directly to your destination — SEO meta, title, slug, and categories applied automatically.

WordPress Auto-Publish

Connect via REST API. Full SEO meta, featured image, and category applied at publish.

Manual Export

Download as clean HTML, Markdown, or plain text. Works with any CMS or doc tool.

Write content that's already
calibrated to win.

Every article starts with live data from the top rankers — so the first draft is already in contention.

View Pricing