Built from research into how Google Discover works — audit your content against the 9-stage pipeline, track real performance from Search Console, generate AI article ideas from your top performers, and catch trending topics before competitors do.
Research into how Google Discover works identified a 9-stage pipeline your content passes through before reaching a reader's feed. Each stage is a potential failure point.
Content Ingestion
Crawl, index & entity extraction
OG Tag Parsing
Image, title, locale & paywall tier
Classification
Evergreen vs breaking news clusters
Collection Gate
Publisher eligibility & suppression
Interest Matching
Entity graph & topic affinity scoring
Candidate Generation
5 pipeline paths to reader feeds
Ranking
pCTR model + freshness signals
Feed Assembly
Personalised card ordering & diversity
Feedback Loop
CTR, dismissals & personalisation
Each feature is grounded in published research findings and Google's own documentation — not assumptions about how the system works.
Based on research into Google's Discover pipeline, each article passes through 9 stages before reaching a feed. This tool checks each stage and shows you where your content is blocked.
A predicted click-through rate model scores your headline across 8 quality dimensions with Wikipedia entity enrichment for authority signals — verified before you publish.
Connect your Google Search Console data and see which articles are actually getting Discover impressions and clicks. Track velocity spikes, spot your top performers, and measure real results — not vanity metrics.
AI-generated article ideas built from your top-performing content and detected headline formulas. Each idea comes with a forecasted visit range, a content brief, and a priority score — so you know what to write next and why.
Detect breakout topics and news surges in your niche before your competitors do. Each trending topic is scored against your brand's entity authority so you know which ones to act on — and which to skip.
Research shows topical authority is built through clusters of related articles sharing named entities. This tool surfaces the supporting content gaps around your hero article.
Generate a trend-informed content calendar with AI-verified article briefs. Then get platform-specific amplification copy for YouTube, Pinterest, Reddit, newsletters, TikTok, Instagram, and more — all optimised for Discover velocity signals.
Manage multiple brands or clients from one account. Each brand gets its own audit history, competitor watchlist, and editorial calendar — switch between them in one click.
Step 1
Enter a live URL or draft. The tool checks it against the 9-stage pipeline found in SDK research and scores your pCTR headline across 8 quality dimensions.
Step 2
See exactly which pipeline stage is blocking your content, which pCTR dimensions are weak, and which of the 5 algorithm profiles your article targets.
Step 3
Generate a trend-informed editorial calendar, then get ready-to-post amplification copy for YouTube, Pinterest, Reddit, Substack, TikTok, Instagram, and more — each channel optimised for Discover velocity signals.
Is your website followable on Google Discover?
Before optimising content, check whether your site is eligible for the Followed Publisher pipeline — one of Discover's most powerful distribution channels.
If readers can't follow your publication directly in Discover, you're missing a compounding traffic source. See how to check your profile eligibility.
For publishers, marketers, and brands who want to understand how Google Discover works — based on what the research actually says — and use that understanding to inform their content strategy.