Google Discover Tool
See your Discover traffic at article level.
The Search Console Discover report stays hidden until a minimum impression threshold is crossed. Gatelit surfaces that data article by article — so you can see exactly which content is in distribution, which is rising, and which needs attention today.
Connects to Google Search Console. No content generation — just your data, organised for decisions.
The problem
Discover performance is hard to act on before the opportunity fades.
Google Discover traffic is fast-moving. The signals exist in Search Console — but by the time teams find them, interpret them and align on an action, the window has often closed.
GSC shows aggregate, not articles
The Search Console Discover report gives you a site-wide number. Which page drove those 40,000 impressions? Which one just dropped off? GSC does not tell you at article level unless you click through multiple filters.
Traffic shifts are noticed too late
An article may gain impressions while its CTR quietly falls. Or it may spike one day and vanish the next. By the time the team notices, the Discover window has closed and the moment to act has passed.
Signals fade before action arrives
Discover content has a short shelf life. A title that could have been tested, a brief that could have been expanded — these decisions need to happen while the article is still in distribution, not after.
What Gatelit does
From raw GSC data to editorial decisions — in one view.
Gatelit does not rewrite or repackage your data. It connects to GSC, reads your Discover signals, and organises them into a format where decisions are visible at a glance.
Article-level Discover report
Every piece of content gets its own row: impressions, clicks, CTR, and position over time. See the full Discover story at article granularity, not just site totals.
CTR and impression signal reading
When impressions rise but CTR falls, the title or snippet is not converting Discover exposure into clicks. Gatelit flags that signal and surfaces it as a decision to make — not a raw number to decode.
Content priority based on live signals
Which article should the team look at today? Gatelit groups content by signal type — rising, at risk, stable — so editors spend time on decisions that matter now, not yesterday.
Signal reading
What the signals mean for editorial action.
Discover data is only useful when it connects to a decision. Here is how Gatelit maps common signal patterns to editorial actions.
| Signal | What it suggests | Recommended action |
|---|---|---|
| Impressions up, CTR down | Title or snippet not converting exposure to clicks | Test headline or featured image |
| New query cluster appearing | Related topic is gaining Discover momentum | Expand article or create supporting content |
| Position slipping over 7 days | Content freshness or relevance may be fading | Refresh intro, update with new context |
| Spike then sharp drop | Normal Discover lifecycle — short-form burst | Archive as reference; plan follow-up topic |
| Steady impressions, low CTR | Article is in distribution but title is weak | Rewrite headline, test featured image |
How to read it: impressions measure Discover exposure; CTR measures whether users found the article worth clicking. A gap between the two usually points to a title, snippet or image decision.
How it works
Five steps from connection to decision.
Connect Search Console
Authenticate your Google Search Console account. Gatelit reads your Discover data using the official GSC API — read-only, no content generation.
Select your property
Choose the site property you want to analyse. You can add multiple properties if you manage more than one publication.
Pull Discover performance data
Gatelit fetches your Discover impressions, clicks, CTR and position data at article level. Data covers up to 16 months depending on your plan.
Read page-level signals
Each article surfaces its own signal pattern. Rising impressions, falling CTR, position slippage — each combination points to a different editorial action.
Decide the next action
Test the headline, refresh the intro, expand the brief, or flag it for the team. Gatelit turns the signal into a clear recommendation — the decision stays with you.
See which of your articles needs attention today.
Connect Search Console and read your Discover signals at article level. Takes under five minutes to set up.
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Built for teams that produce content at scale.
Publishers
Running a content-heavy site means Discover is either a major traffic source or a missed opportunity. Without article-level visibility, it is impossible to know which content is driving distribution and which is quietly stalling.
Gatelit gives your editorial team a live view of every article's Discover performance. Editors can act on signals the day they appear, not a week later.
SEO consultants
Clients ask why their Discover traffic changed. The honest answer is usually 'I cannot see at article level from GSC.' That gap makes it hard to give confident recommendations.
With article-level data, you can show exactly which pages drove or lost Discover traffic, and what the signal pattern suggests about the next action.
Content teams
Writers and editors produce content without knowing whether previous articles are gaining traction, losing position, or sitting idle in Discover. Production decisions happen in a data vacuum.
A live signal view means the team can prioritise updates and headline tests on articles that are already in distribution — where the marginal value of a change is highest.
FAQ
Common questions about the Discover Tool.
What does 'article-level' mean for Discover data?
Instead of showing you total site impressions, Gatelit shows impressions, clicks, CTR and position for each individual article. You can see which specific content is in Discover distribution, which is rising, and which has slipped — without manually filtering the GSC interface.
Does Gatelit guarantee Discover traffic?
No. Discover is an algorithmic content feed controlled by Google. Gatelit shows you what your data says, surfaces editorial decisions implied by the signals, and helps your team act on those decisions. It does not manipulate or game the Discover algorithm.
Does the Discover Tool write content automatically?
No. Gatelit does not generate articles, headlines or any content automatically. It analyses your performance data and helps you decide what to update, test or expand. The editorial decisions stay with your team.
How much historical data can I access?
Google Search Console retains Discover data for 16 months. Gatelit pulls and organises that full history for properties on the Professional and Team plans. The Starter plan covers the last 30 days.
Which sites does the Discover Tool work for?
The tool works for any site connected to Google Search Console that has Discover performance data. This typically means content-heavy sites, news publishers, blogs and editorial publications that produce articles indexed by Google.
Is Search Console access required?
Yes. Gatelit connects to your Google Search Console account to read Discover performance data. You need to be a verified owner or delegated user of the property you want to analyse.
Related tools
Go deeper with Discover data.
Make your Discover data easier to act on.
Connect Search Console, read your article-level signals, and give your team a clear view of what to do next — without parsing raw GSC data yourself.