Quattr MCP at work · Speed and clicks
Is site speed costing you organic clicks?
Site speed costs organic clicks when the failures sit on the pages that earn your traffic. Read every Core Web Vital across the site, split mobile from desktop, then join each failing page to its Search Console clicks and rank the fixes by clicks at stake. In the video, one shared fix touched 47,400 monthly clicks.
The recording below is the whole workflow: 3 ordinary questions, asked in an AI chat with Quattr connected.
The screenshot says the site is slow. The sprint costs real money.
◐ Recreated from an anonymized sessionSize your speed sprint in clicks
This run
In this video, it joins Core Web Vitals to Search Console clicks and sizes a speed sprint in traffic at stake.
What the run returned
The numbers set the scope of the problem; the decision names the work that moves it.
Run the same analysis in a Quattr-connected AI chat
Three prompts, copied exactly as written; the video shows what comes back.
Requires the Quattr MCP connection to read your organization's data. The prompt alone will not return your numbers.
- Prompt 1 Leadership forwarded a failing PageSpeed screenshot. How bad is it really, and where?
- Prompt 2 Which pages that actually earn our traffic are failing it?
- Prompt 3 Is this worth a sprint? Give me the case in numbers I can defend.
How Quattr produced the answer
An ordinary question, answered from your own named sources.
Quattr MCP is the read-only bridge between your AI client and Quattr's connected search data and analytical tools. Agents and Skills turn those tools into repeatable search work.
How the Quattr MCP works → See these sources joined in one answer →
When does site speed cost you organic clicks?
Five ways it happens; each with the sign that reveals it and the fix that moves it.
01Taps take too long to respond
Google grades how long a page takes to react to a tap, and a failing grade frustrates visitors and weighs on rankings across every page that carries it. You will see the interaction measure graded poor on most of the site while load times look acceptable. The fix: find the script or component the failing pages share, because one change there can clear hundreds of pages.
02Mobile loads far slower than desktop
Google measures pages on a mid-range phone, so a site that feels quick at a desk can still fail where most searches actually happen. You will see mobile load times several times the desktop number on the very same pages. The fix: cut the heavy images and scripts phones choke on, starting with the template your busiest mobile pages share.
03The slow pages are your busiest pages
Speed only costs clicks in proportion to the traffic sitting on it, so the same fault matters far more on a sign-in page or homepage than on a quiet archive. You will see failing grades on the pages Search Console lists highest by clicks. The fix: join clicks to each page's speed grade and work from the biggest number down.
04Hundreds of pages share one slow part
Pages built from the same template load the same code, so a single heavy component can fail one vital across most of a site at once. You will see the same measure failing at similar values on pages that otherwise have nothing in common. The fix: treat it as one ticket, trace the shared component, and clear the whole set with a single change.
05One bad screenshot is not the site
A single PageSpeed run tests one page on one device, so it can read as a site-wide emergency when only one measure is truly failing. You will see other vitals graded good on the same pages once you read them all together. The fix: read every vital across every measured page before planning work, so the sprint targets the real faults instead of a vague slowness.
Transcriptmachine-transcribed · corrected for product terms
0Every engineering manager knows this message.
3A red page speed screenshot forwarded from leadership with no further text.
8Before it becomes a sprint ticket, it deserves 10 minutes of real data.
13So we start by asking how bad it really is, and more importantly, where it actually lives.
21It reads every vital across every measured page from the latest Lighthouse runs
27and splits the picture by device.
32And the screenshot was real, but it was not the whole story, because two of the four vitals are perfectly healthy.
40Interaction delay fails on nearly every page, and load time fails on mobile while desktop is fine.
46The panic just became two specific, nameable faults.
52Next question, because 900 failing pages is not a to-do list, which of them actually earn our traffic?
1:00It joins the click totals from Search Console onto the interaction delay of every page over the same 30 days.
1:10And the delay is not hiding on obscure pages, it is sitting right on the front door of the business.
1:18The sign-in page and the home page alone carry 47,000 monthly clicks at stake.
1:24And when 900 pages fail the same vital, that usually points at one shared component, rather than 900 separate problems.
1:35Which leaves the question the whole exercise was for?
1:38Is this actually worth a sprint?
1:41It ranks the work by the clicks each fix protects, and it keeps the honest boundary attached to every number.
1:50One shared fix, protecting 47,000 clicks goes first, the mobile money pages go next, and the long tail goes to the backlog by name.
2:00And the boundary stays on the table the whole time, because these are clicks at stake and not clicks promised,
2:07so nobody has to oversell the work to justify doing it.
2:13A screenshot started a panic, and 10 minutes of data ended it with two tickets.
2:18That is the Quattr MCP, and it turns page speed into an engineering decision you can defend in numbers.
Frequently asked questions
Were the numbers in the video real?
This video is recreated from an anonymized session: the interaction is faithful to a real run on a connected account, and the figures shown have been changed or are illustrative rather than a customer’s own numbers.
Can the Quattr MCP build this sprint case on my site?
Yes. Connect Quattr to your AI chat once, then paste the three prompts above. The same sequence runs on your own numbers: how bad it really is and where, which earning pages are failing, and the sprint case ranked by clicks at stake.
How does it join speed data to clicks?
Each page's Core Web Vitals grades come from Quattr's page experience data, and its clicks come from Search Console over the same 30 days; the two are matched page by page. Showing speed and traffic together is observational, which is why the case is framed as clicks at stake, not clicks promised.
Where do these prompts run?
In any AI chat that can use connectors (the standard is called MCP). The prompt never names Quattr; the connection is what routes the question to your data, which is why it reads like an ordinary question.
What data can the Quattr MCP read?
Search Console clicks, impressions and rankings, web analytics, paid search, search market share against competitors, AI visibility across assistants, and Core Web Vitals. Every answer is pulled live from the connected account, so the numbers match what your dashboards show.
Size your speed sprint in clicks
Connect Quattr once and these prompts read every vital on your measured pages, join them to your Search Console clicks, and rank the fixes by traffic at stake.
Read-only · OAuth 2.1 · existing Quattr permissions · no API keys