Quattr MCP at work · The standings review
How do you run a quarterly SEO review?
Run it as five questions in a fixed order: can Google and the AI bots reach you, do you show up in search, do AI answers use you, does AI describe you accurately, and does it make money. Each answer depends on the one below. In the video, the whole review lands on one screen.
The recording below is the whole workflow: 3 ordinary questions, asked in an AI chat with Quattr connected.
Where do we stand? Five questions answer it, in order.
◐ Recreated from an anonymized sessionSee where you actually stand
This run
In this video, it answers the five standings questions from every connected source, on one screen.
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 New quarter. Where do we actually stand, top to bottom?
- Prompt 2 Before we fix anything: rule out the simple explanations for that gap.
- Prompt 3 So write next quarter as one fix and one guard.
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 →
What are the five questions, in order?
Five questions in a fixed order; each depends on the answer below it.
01Can Google and the AI bots reach you?
Nothing above this question works if crawlers never fetch the pages, so the review starts at reach. You will see verified crawler visits from your own server logs, with the pretenders separated out. The move: verify by IP rather than by name, and fix reach before judging anything higher.
02Do you show up when people search?
Visibility is the demand side of the program, and search market share reads it against the competitors around you. You will see your share of tracked demand and whether it moved this quarter. The move: read share next to rankings, so a market swing never gets claimed as a win or blamed as a loss.
03Do AI answers use you as a source?
Assistants now answer many questions before a results page is ever seen, and they cite whoever they trust topic by topic. You will see citation share per topic, often strong in one place and silent in another. The fix: find the topics where search strength has not carried, and make those pages worth quoting.
04Does AI describe you the way you would?
Being cited is not the same as being described accurately, and tone is measurable even while coverage is partial. You will see sentiment tracked where it can be, and marked partly measured where it cannot. The move: mark the unmeasured parts openly rather than hiding them, and extend the tracking next.
05Does any of it make money?
The program earns its budget at the bottom line, so the review ends on purchases and revenue rather than on rankings. You will see the quarter's purchases and revenue growth beside the search numbers that fed them. The move: keep money on the same screen as reach and visibility, so the story stays one story.
Transcriptmachine-transcribed · corrected for product terms
0Every quarter starts with the same question from somewhere above you,
4where do we stand?
6Here is how to answer it in five questions and about two minutes from your own data.
12So, we ask for the whole picture at once and we take the five questions in order,
18because the order is the trick.
21It checks all five from the bottom up, reach, then visibility, then citations, then reputation, then revenue.
30Can they reach us?
32Do we show up?
34Do the answers use us?
36Do they describe us right?
37And does it make money?
39Three come back healthy and one is only partly measured.
43The problem is question three.
46AI answers lean on us for pricing and barely touch our how-to guides.
50And question four says partly measured, which is marked instead of hidden.
57Before anyone fixes anything, we rule out the simple explanations for that gap.
1:04It checks the two questions underneath first, because if the pages were never read,
1:09nothing above that could ever work.
1:14The pages are being read and people find them in search.
1:18Both easy explanations are drawn in two rows.
1:21So, the gap is exactly what it looks like.
1:25The answers just do not use these pages yet,
1:28and nobody spends three months fixing crawlers that were never broken.
1:34Which leaves next quarter, written as one fix and one guard, instead of a wish list.
1:41It attaches a measurement to each promise now, before any of the work begins.
1:49One fix, the how-to guides get cited.
1:52And one guard, everything healthy stays watched with the gate on.
1:57In three months, nobody argues about whether any of it worked.
2:01They just look at the number that was agreed today.
2:04That is a program, rather than a dashboard.
2:09Five questions, asked in order, answered in about two minutes.
2:14That is the Quattr MCP, your search console, your analytics, your ads, your server logs,
2:20and every AI answer engine, answering as one, in the chat you already use.
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 run this review 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: the five-question scorecard, the rule-out checks underneath the weak spot, and next quarter written as one fix and one guard.
Why do the five questions run in that order?
Because each depends on the one below it: pages nobody can reach cannot show up in search, pages that never show up rarely get cited, and nothing gets described or paid for that was never seen. Checking bottom up is what lets the review clear crawlers and rankings in two rows before blaming content.
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.
See where you actually stand
Connect Quattr once and all five questions answer from your own data: reach from your server logs, visibility from your search market share, citations from the AI engines, and revenue from your analytics.
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