Turn Discover data into clear content decisions.
Gatelit turns Search Console and Discover signals into clear editorial actions, so your team can decide what to update, test, expand, or brief next.
Connects to Google Search Console via OAuth. No content generation — just better editorial decisions.
Impressions rising
Interest is growing, CTR is falling
Test headlineNew query cluster
Demand is shifting to a new angle
Expand briefPosition slipping
The page may be losing freshness
Refresh introGatelit translates raw Search Console signals into editorial actions, so teams can move from reporting to decision-making.
Real GSC data
Every decision is grounded in your own Search Console and Discover signals — not estimates or synthetic scores.
Discover-focused interpretation
Impressions, clicks, and CTR changes are surfaced at article level so you can see what each piece actually needs.
Editorial actions
Each signal maps to a clear next step: update, headline test, brief expansion, or monitor.
No fake metrics
No vanity scores, no invented benchmarks. Only the signals your own performance data supports.
The Problem
Discover opportunities often show up in reports but never turn into actions.
The problem isn't missing data — it's not seeing in time which content decision the data connects to.
Signals stay scattered
Discover data arrives late and at property level, without article granularity. By the time a trend is visible in a weekly report, the distribution window has already passed and the opportunity is gone.
Changes go unnoticed until it's too late
A CTR drop on a high-impression article is easy to miss. Without article-level signals surfaced in one place, no one owns the interpretation — and traffic decays quietly while teams stay in their reports.
Headline and brief decisions lose context
Editors make title and structure choices from instinct. Entity mapping, shelf-life signals, and title scoring exist in the data — they just never reach the person making the call at the moment it matters.
How it works
From data to decision in five steps.
Connect GSC
OAuth · read-only
Linked in under 2 min
Read signals
Article-level data
CTR drop on top post
Prioritise
Rising & at-risk
3 articles flagged now
Decide
Update · test · brief
Title test candidate
Act
Brief / update / test
Revised brief → writer
Product
Everything your editorial team needs for Discover.
Five interconnected modules, each built around a specific editorial decision your team makes every week.
Discover Analysis
Article-level Discover metrics from Search Console. Impressions, CTR, and traffic trends for every piece of content — sorted by editorial urgency.
Know which articles need attention before the window closes.
Learn moreMissed Opportunities
A live view of which topics and entities are gaining Discover momentum right now. Prioritise your editorial calendar around real signal, not guesswork.
Stop briefing topics after the peak has already passed.
Learn moreContent Brief Generator
Editorial briefs built for Discover: required entities, H2/H3 structure, image spec, and headline guidance — all generated from your own performance data.
Give writers briefs that reflect what Discover actually rewards.
Learn moreTitle & Spot Lab
Score headlines before you publish. Emotional impact, entity density, specificity, and character count — compared side by side so you can choose with confidence.
Choose the headline most likely to earn the click.
Learn moreContent Decision Tables
Every article in your Discover portfolio — sorted by signal strength and editorial urgency. See what needs action this week at a glance.
Your entire editorial backlog, prioritised by signal.
Learn moreProduct visuals
Data you can actually act on.
Sample workflow previews. When you connect Search Console, all views populate with your own data — no placeholder metrics, no invented benchmarks.
How to read this: A rising impression signal with falling CTR usually points to a title or snippet mismatch — a strong candidate for a headline test.
How to read this: The higher-scoring headline has more specific entities and urgency framing — both of which Discover tends to reward with higher CTR.
How to read this: Topics above the baseline are gaining Discover momentum. Topics below may need a refresh or additional editorial attention.
Who it's for
Built for teams who live on Discover traffic.
Content lifecycle management
Publishers
Discover distribution drops without warning.
Track performance across your entire article portfolio. Understand how long content stays in distribution and identify exactly what needs a refresh — before traffic falls.
See how publishers use GatelitClient reporting & strategy
SEO Consultants
Clients don't see the link between editorial decisions and Discover traffic.
Add Discover analytics to your client workflow. Show which content decisions drove results and where the next opportunities are — with data, not guesswork.
See how consultants use GatelitBrief-to-publish workflow
Content Teams
Briefs get written without Discover signal.
Stop briefing from instinct. Get entity checklists, title scores, and shelf-life estimates built from your own Search Console data — every time you start a brief.
See how content teams use GatelitFast editorial decisions
Newsrooms
Trending topics surface after the window has closed.
Know which topics are spiking on Discover right now and move before the distribution window closes. Signal, not noise — delivered when it still matters.
See how newsrooms use GatelitLearn
Guides on Google Discover
Fundamentals
How to read Discover data in Search Console
Strategy
Entity mapping for Discover distribution
Optimisation
Title scoring: what Discover rewards
The first guides will appear here once published through the CMS. This section will become a permanent knowledge hub covering Google Discover, Search Console interpretation, and content decision-making.
FAQ
Common questions
Does Gatelit guarantee Discover traffic?
No. Google Discover distribution is determined by Google's algorithms, which nobody outside Google controls. Gatelit's purpose is different: it makes your Search Console and Discover data easier to interpret, so your team can see which content actions are worth taking — and take them faster. Better decisions improve your odds; they can't guarantee outcomes.
Does it write content automatically?
No. Gatelit analyses your existing Search Console and Discover data and turns it into editorial signals and recommendations. The brief generator uses your own performance signals as inputs. All writing decisions, editorial calls, and creative choices stay with your team. Gatelit helps you decide what to work on — it doesn't do the work for you.
Which data source does it use?
Gatelit connects exclusively to Google Search Console via OAuth. It reads your Discover performance data — impressions, CTR, and article-level signals — with read-only access. No data is written back to your GSC property, and no other data sources are required to get started.
Is Search Console required?
Yes. Gatelit's core analysis is built on your own GSC Discover data. Without a connected property, the platform has no signals to work from. You'll need an active Search Console property with Discover impressions for the article-level analysis to surface meaningful results.
Who is Gatelit for?
Gatelit is built for editorial teams, SEO consultants, publishers, and newsrooms that rely on Google Discover as a meaningful traffic channel. It works best when you have an active Search Console property with Discover impression data and a team that makes regular content decisions based on performance.
Can I use it for multiple sites?
Yes. You can connect multiple Google Search Console properties and switch between them within a single Gatelit account. Each property's signals and recommendations are tracked independently, so you can manage Discover strategy across several publications or client sites from one place.
Don't just monitor your Discover data. Act on it.
Gatelit turns Search Console signals into editorial decisions for publishing and SEO teams. Connect in minutes — no content generation, no black-box scoring.