Your tools show you what happened. Korvex tells you what to do next — and why.
18 hypothesis generators. 47-factor page scoring. 91% prediction accuracy. A closed-loop system that generates recommendations, executes them, measures outcomes, and improves its own predictions. This is SEO intelligence — not another dashboard.
You have the data. You don’t have the intelligence.
You have Google Search Console. You have GA4. You have Ahrefs or Semrush. You have 14 spreadsheets connecting them all. And you still spend 20+ hours a week turning raw data into decisions that your team can actually execute.
The problem isn’t data access. It’s the gap between data and action. Between “this page lost 3 positions” and “here’s the specific change that will recover it, with an 87% confidence score and an estimated £1,200/month revenue impact.”
That gap is what Korvex fills.
Exporting query data, cross-referencing with pages
Pulling conversion data, matching to organic sessions
Checking competitor movements, content gaps
Combining sources, calculating priorities
Translating analysis into actionable tasks
Intelligence pipeline runs overnight. Prioritised actions ready by 10am.
Intelligence isn’t a dashboard. It’s a decision engine.
Dashboards show you data and wait for you to interpret it. Korvex runs 18 hypothesis generators against your data every day, each producing evidence-based recommendations with confidence scores, estimated revenue impact, and dependency mapping. It doesn’t just flag problems — it tells you the optimal order to fix them.
- Shows data
- You interpret
- You prioritise
- You brief the team
- No outcome tracking
- Analyses data with 18 generators
- Generates specific recommendations
- Calculates priority by revenue impact
- Maps dependencies between actions
- Tracks every outcome
- Predicts outcome before execution
- Deploys changes to CMS
- Measures actual vs predicted
- Calibrates future predictions
- System gets smarter daily
Most tools stop at the dashboard. Korvex completes the loop.
Every cycle makes the next recommendation more accurate. This is how prediction accuracy reaches 91% — not through bigger models, but through measured outcomes feeding back into the system.
Collect
GSC, GA4, rankings, competitors, entity data
Analyse
18 SCIS generators produce hypothesis-driven recommendations
Predict
ML model estimates position change, traffic impact, revenue
Recommend
Prioritised actions with confidence scores and dependencies
Approve
You review on the kanban board, drag to 'In Progress'
Deploy
Auto-push to WordPress, Shopify, or Webflow via API
Measure
Track actual outcome vs prediction for every change
Calibrate
Feed results back into prediction model. Repeat.
prediction accuracy at 30 days
average portfolio ROI
automated jobs run overnight
Your questions, answered.
The intelligence layer between SEO execution and business strategy.
What % of revenue comes from organic?
Revenue attribution waterfall traces the full path: GA4 sessions from organic search, through conversion events, to actual revenue. Channel-level breakdown shows organic's contribution alongside paid, direct, and referral.
How resilient are we to algorithm changes?
SERP volatility monitoring tracks ranking stability across your portfolio. Content quality resilience scoring identifies pages that rank on thin authority and would be vulnerable to quality updates.
Where should we invest next?
ROI quadrant analysis maps every recommendation by estimated impact vs effort. Business alignment scoring ensures recommendations connect to revenue goals, not just ranking metrics. Quick wins surface first.
What does Google associate our brand with?
The entity knowledge graph (powered by Neo4j) maps every entity Google associates with your brand. See which topics, products, and concepts Google connects to your domain vs competitors.
How accurate are our predictions?
Closed-loop outcome tracking measures every prediction against actual results. Current accuracy: 91% over 30 days. Predicted vs actual comparison shown per recommendation, with continuous model calibration.
Can we justify SEO to shareholders?
ROI calculator: cost vs tracked organic revenue, compared against PPC cost for equivalent keyword positions. Portfolio-level metrics with month-over-month growth attribution.
18 hypothesis generators. Running against your data. Every day.
The Strategic Content Intelligence System (SCIS) doesn’t produce generic advice. Each generator runs a specific hypothesis against your data, produces evidence-based recommendations with confidence scores, and maps dependencies between actions so you execute in the optimal order.
Title Optimisation
Analyses SERP title patterns across your top 10 competitors per query, identifies click-optimized title structures, and suggests rewrites with estimated CTR uplift.
Meta Description
Evaluates meta description performance against SERP click-through benchmarks. Identifies CTR opportunities where impressions are high but clicks are below expected.
H1 Alignment
Ensures H1 tags match dominant search intent, not just target keywords. Detects mismatches between informational intent and commercial H1 framing.
Internal Linking
Identifies orphaned pages, broken hub-spoke structures, and PageRank distribution inefficiencies. Suggests specific anchor text and placement.
Entity Gap Analysis
Compares your entity coverage against top-ranking competitors per query cluster. Flags missing entities with salience scores and topical relevance.
Content Freshness
Flags stale content prioritised by traffic impact. Calculates freshness decay curves based on SERP volatility for each topic cluster.
Schema Markup
Detects missing structured data opportunities by analysing which SERP features competitors win. Maps schema types to pages with highest rich-result potential.
FAQ Opportunities
Identifies question-intent queries where FAQ schema could win featured snippets. Extracts People Also Ask data to generate pre-written FAQ content.
Keyword Cannibalisation
Detects pages competing for the same queries using GSC impression overlap analysis. Suggests consolidation, canonical changes, or intent differentiation.
Thin Content
Identifies below-threshold pages using word count, entity density, and topical depth scoring. Recommends expand, consolidate, or noindex based on traffic profile.
Redirect Chains
Flags chains of 2+ redirects hurting crawl budget and PageRank flow. Calculates the aggregate crawl budget impact across your full sitemap.
Image Alt Text
Identifies missing or generic alt text on high-traffic pages. Generates entity-aware alt text suggestions aligned with page topic clusters.
Page Speed Impact
Correlates Core Web Vitals changes with ranking movements. Identifies pages where CWV improvements would have the highest position impact.
Topical Authority
Maps your topic clusters and measures depth vs competitors. Identifies where your topical coverage is insufficient to establish authority.
Competitor Content Gaps
Daily comparison against top 10 competitors per cluster. Quantifies each gap in estimated monthly traffic and revenue potential.
Semantic Similarity
Detects near-duplicate content using Qdrant vector embeddings. Flags pages with >85% semantic overlap that may trigger quality filters.
Featured Snippets
Identifies queries where you rank positions 2-8 and a featured snippet exists. Analyses snippet format and suggests content restructuring.
AI Search Readiness
Scores content for citation-worthiness across ChatGPT, Perplexity, and Gemini. Evaluates structured data, entity markup, and answer format quality.
Each generator produces recommendations scored by confidence (0–100), estimated revenue impact, implementation effort, and dependency chain. You see the ranked output on a kanban board — drag to approve, Korvex handles the rest.
Every page scored daily across 47 factors.
Based on the Koray Tugberk methodology — the most comprehensive page-level scoring framework in SEO. Not just technical audits. Not just content scoring. A unified analysis across technical SEO, content quality, entity relevance, authority signals, and user experience.
Scores are recalculated daily with fresh GSC, GA4, and competitor data. Trend lines show whether each page is improving or declining. The scoring feeds directly into recommendation prioritisation — pages with the highest improvement potential and traffic value surface first.
- 47 factors across 5 categories, weighted by impact
- Daily rescoring with fresh data from all sources
- Customisable factor weights per site profile
Overall Koray Score
portfolio accuracy over 30 days
Model recalibrates daily from measured outcomes. Accuracy improves from ~80% in week 1 to 91%+ by day 30.
Prediction accuracy that improves over time.
Not vague forecasts. Specific predictions tied to specific actions. “If you rewrite this title to match the dominant SERP pattern, CTR will increase by 15% within 21 days.” Then we track it. And the model learns whether it was right.
The prediction engine uses an XGBoost ensemble trained on your historical GSC, GA4, ranking, and page-scoring data combined with competitor movement patterns. Every prediction is logged. Every outcome is measured. Every miss makes the model better.
- Predict → execute → measure → learn cycle
- Per-recommendation predicted vs actual tracking
- Continuous model calibration from outcomes
- Accuracy trajectory: 80% day 7 → 91% day 30
See predictions running on your own data.
14-day free trial. Full intelligence pipeline. No credit card required.
Management
Compliance
Assessment
Software
6 primary entities · 23 secondary relationships · salience scores updated daily
See exactly what Google associates with your brand.
Google’s Natural Language API extracts entities from your content and competitor pages. Korvex stores these in a Neo4j knowledge graph with salience scores, topic relationships, and competitive gaps. Qdrant vector embeddings enable semantic similarity detection across your entire content corpus.
The result: you see exactly which entities Google connects to your brand — and which entities your top 10 competitors own that you don’t. Each gap is quantified by salience score and estimated traffic impact.
- Brand entity mapping vs top 10 competitors
- Entity gaps with salience scores and traffic estimates
- Knowledge graph updated daily with fresh NLP extraction
- Vector embeddings detect semantic content overlap
Every gap quantified in revenue terms.
No more prioritising content by gut feel. Every content gap is traced from competitor advantage to estimated monthly revenue, giving you a ranked pipeline of opportunities.
Gap Identified
2,400 monthly searchesCompetitor ranks for 'ISO 14001 implementation guide' — you don't
Revenue Estimated
£1,840/month potentialVolume × estimated CTR × conversion rate × AOV
Recommendation Generated
Confidence: 82%Priority score 87/100 — entity coverage + topical authority boost
Content Brief Created
2,800 words, 12 entitiesTarget entities, word count, schema type, internal link targets
Published via CMS
Deployed in 4.2 secondsAuto-deployed to WordPress with schema markup and internal links
Outcome Tracked
88% of predictionPosition 6 in 18 days. CTR: 4.2%. Revenue: £1,620/month
Every recommendation tracked. Every prediction measured.
Most platforms generate recommendations and never look back. Korvex tracks every recommendation through its entire lifecycle: from generation to approval to deployment to measured outcome. If the prediction was wrong, the system knows why and adjusts.
This is how you answer “does SEO actually work?” with data, not anecdotes. Every title change, every schema addition, every internal link restructure has a measured before-and-after tied to revenue.
- Kanban lifecycle: Pending → In Progress → Deployed → Completed
- Baseline metrics captured at approval time
- Revenue attribution per recommendation
- Dismissals feed back into recommendation model
+34% CTR, +12 positions, +£2,400/mo
Predicted +28% CTR
Model adjusting title impact weight +6%
+18 positions, +£1,100/mo revenue
Predicted +14 positions
Entity salience threshold lowered to 0.15
Featured snippet won, +220% impressions
Predicted snippet within 14 days
FAQ confidence boosted for pricing pages
+8% traffic (below 15% prediction)
Predicted +15% traffic
Reducing link equity estimates for blog pages
Built for strategic decision-making.
Three pillars of intelligence that replace 20+ hours of analyst work per week.
Revenue Attribution
Trace organic revenue from first click to conversion. GA4 integration maps the full path: impression, click, session, event, revenue. See exactly which pages and which changes drove which revenue.
- Channel-level revenue breakdown
- Page-level conversion attribution
- Month-over-month organic revenue growth
- PPC cost equivalency calculator
Competitive Intelligence
Daily monitoring of your top 10 competitors per cluster. Not surface-level keyword counts -- deep analysis of content velocity, entity coverage, SERP feature ownership, and topical authority shifts.
- Daily competitor content velocity
- Entity coverage gap tracking
- SERP feature ownership trends
- Backlink acquisition monitoring
Portfolio Management
Manage multiple sites from a single dashboard. Cross-portfolio comparisons, resource allocation recommendations, and unified reporting. Built for agencies and in-house teams managing 5-50 domains.
- Multi-site performance comparison
- Cross-portfolio entity analysis
- Unified executive reporting
- Resource allocation recommendations
40% of information queries now get AI answers. Is your content being cited?
AI search isn’t the future — it’s now. ChatGPT, Perplexity, Gemini, and Google AI Overviews are pulling content from the web and presenting it as synthesised answers. If your content isn’t structured for citation, you’re invisible to a growing segment of search.
Korvex’s AI Search Readiness generator scores every page across 6 dimensions that determine citation-worthiness. It identifies specific structural changes that increase the probability of being cited by AI engines.
- 6-dimension readiness scoring per page
- Structured data quality for machine comprehension
- Answer format optimisation (lists, tables, definitions)
Google AI Overview
+5 this monthChatGPT
+3 this monthPerplexity
+2 this monthGemini
+1 this month74 automated jobs run overnight. By the time you open your laptop, every insight is fresh.
The daily intelligence pipeline collects, analyses, scores, predicts, and recommends — all while you sleep. Here’s what happens between midnight and 10am.
GSC Performance
Search Console data across 12 dimension types
Keyword Rankings
DataForSEO rankings for all tracked keywords
GSC Crawl Health
Crawl budget analysis using Koray methodology
GA4 Analytics
11 dimension types: traffic, revenue, conversions
Site Health
Diagnostic snapshot across all pages
Competitor Analysis
Content velocity, entity coverage, rank changes
Content Gap Analysis
Cross-competitor gap identification by cluster
Ranking Predictions
ML model generates 30/60/90-day forecasts
Page Scoring
47-factor Koray score for every active page
SCIS Recommendations
18 generators produce prioritised actions
Daily Email Brief
12-section report delivered to your inbox
Outcome Tracking
Measures deployed recs, calibrates predictions
daily phases
scheduled jobs
registered tasks
manual steps required
When leadership asks “what will organic revenue be next quarter?”, answer with a model — not a guess.
Machine learning models trained on your actual GSC, GA4, and ranking data project organic traffic and revenue for the next 30, 60, and 90 days. Confidence intervals narrow as the model accumulates more historical data. Seasonal patterns are automatically detected and factored in.
Compare forecast to actual as days pass. When the model overestimates or underestimates, it tells you why — competitor content velocity changes, algorithm updates, or seasonal shifts that weren’t in the training window.
- 30/60/90-day revenue and traffic projections
- Confidence intervals that narrow over time
- Automatic seasonal pattern detection
- Forecast vs actual comparison with variance explanation
“I’ve used every enterprise SEO tool on the market. Korvex is the first one that actually thinks like a strategist. The recommendation engine alone replaced 30 hours of analyst work per week. The prediction accuracy is unlike anything I’ve seen.”
Head of SEO
Enterprise SaaS · 1,200+ pages · 12 competitors tracked
Board-ready metrics. Automated. Every week.
Stop spending Friday afternoons building reports. Automated PDF and email reports delivered on schedule — revenue dashboards, channel attribution, and growth metrics formatted for executive review, not SEO jargon. Stakeholders see the business impact. You keep your weekend.
Daily Email Brief
12-section report with priorities, ranking changes, revenue updates, anomaly alerts, and action items. In your inbox by 10am. Covers all 12 intelligence phases from the overnight pipeline.
Weekly PDF Report
Portfolio-level performance, week-over-week trends, competitive intelligence movements, recommendation progress, and revenue attribution. Formatted for stakeholder distribution. One-click PDF download.
Monthly Executive Summary
Revenue attribution, ROI calculation, channel comparison, seasonal analysis, and strategic recommendations. Built for board decks. Includes quarter-over-quarter projections and competitive positioning.
Track every move your competitors make. Daily.
Not the surface-level “they gained 3 keywords.” Deep strategic intelligence: content velocity (how many pages they publish per week), entity coverage shifts, SERP feature ownership trends, topical authority movements, and ranking trajectory by cluster.
Track up to 12 competitors per site. See which clusters they’re investing in before their rankings show it — content velocity is a 3-6 month leading indicator of ranking intent.
- Daily competitor content velocity tracking
- Entity coverage gap analysis per competitor
- SERP feature ownership trend monitoring
- Topical authority shift detection by cluster
Content velocity is a 3-6 month leading indicator of ranking intent.
Start your strategic audit today.
We’ll run the full 47-factor scoring, entity analysis, and competitive intelligence on your site. Free for 14 days.
Keep your tools. Add the intelligence layer.
Keep your Ahrefs or Semrush for ad-hoc research. Keep your rank tracker for vanity dashboards. Korvex replaces the analyst work — the 20+ hours a week turning data into decisions.
Google Search Console
12 dimension types collected automatically. Query, page, device, country, search appearance, and all cross-dimensions. Full data, not sampled.
Google Analytics 4
11 dimension types: daily totals, landing pages, traffic sources, conversions, device, geographic. Revenue attribution traced to organic.
WordPress
Approved recommendations auto-deploy: title changes, meta descriptions, schema markup, internal links. Rollback capability on every change.
Shopify
Push content changes to articles, products, and pages. Schema markup, meta fields, and content updates deployed via Shopify API.
Webflow
CMS collection items, page metadata, and structured content deployed through the Webflow API. Works with Designer Extension.
REST API (120+ Endpoints)
Full API access to every data point: page scores, entity maps, recommendations, predictions, rankings, revenue, competitive intelligence. JSON and CSV export.
Strategic questions, honest answers.
You’re evaluating this against enterprise platforms that cost 10× more. Here’s what you need to know.
How is Korvex different from BrightEdge, Conductor, or seoClarity?
Enterprise platforms give you dashboards to look at. Korvex gives you evidence-based recommendations to act on. The SCIS pipeline generates specific actions with confidence scores, estimated revenue impact, and dependency ordering. It doesn't wait for you to notice a problem -- it identifies the problem, proposes the fix, estimates the outcome, and tracks whether the prediction was right. That closed-loop architecture doesn't exist in any other platform.
Can I customise the scoring methodology?
The 47-factor Koray scoring framework is calibrated against real ranking data, but you can adjust factor weights to match your priorities. Emphasise E-E-A-T factors for YMYL sites, or weight technical factors higher for large e-commerce crawl-budget scenarios. Custom scoring profiles are saved per site.
How does the prediction model actually work?
An XGBoost ensemble trained on your historical GSC + GA4 + ranking data, combined with 47-factor page scores and competitor movement patterns. The model predicts position changes, traffic impact, and revenue outcomes for each recommendation. Every prediction is tracked against actual results, and the model retrains with new outcome data -- creating a genuine feedback loop that gets more accurate over time.
What is the entity analysis based on?
Google's Natural Language API extracts entities with salience scores from your content and competitor pages. These are stored in a Neo4j knowledge graph that maps entity relationships, topic clusters, and competitive gaps. Qdrant vector embeddings enable semantic similarity detection. The result: you see exactly which entities Google associates with your brand and where competitors have entity coverage you lack.
Can I export data via API?
Full REST API with 120+ endpoints covering every data point: page scores, entity maps, recommendations, predictions, rankings, revenue attribution, and competitive intelligence. JSON export, CSV bulk download, and webhook notifications for real-time integrations. Most clients connect Korvex to their BI tools within a day.
How does CMS auto-publishing work?
When you approve a recommendation (drag to 'In Progress' on the kanban board), Korvex can push the change directly to WordPress, Shopify, or Webflow via their APIs. Title changes, meta descriptions, schema markup, internal links -- deployed automatically with rollback capability. Every deployment is tracked for outcome measurement.
What if I disagree with a recommendation?
Dismiss it. Every dismissal feeds back into the model. Korvex learns which types of recommendations you act on and which you reject, adjusting future confidence scores and prioritisation accordingly. You can also add notes explaining why -- useful for training the system to understand domain-specific constraints.
How long until I see actionable intelligence?
Day 1: GSC and GA4 data imported, initial page scoring complete. Day 3: first SCIS recommendations generated with confidence scores. Day 7: competitive analysis populated, entity graph built. Day 14: prediction model has enough data for initial forecasts. Day 30: closed-loop calibration begins, accuracy improves from 80% to 91%+.
You’ve spent years building SEO expertise. Now multiply it with intelligence that never sleeps.
14-day free trial. Full intelligence pipeline. 47-factor scoring, 18 hypothesis generators, entity knowledge graph, and prediction engine — all running on your data from day one. No credit card. See the ROI before you pay a penny.
91% prediction accuracy · 154:1 average ROI · 74 automated overnight jobs