Quattr MCP at work · Paid and organic
Should you bid on keywords you already rank for?
Often yes: on searches for your brand name, ads are usually the cheapest conversions you buy, and cutting them hands the space to rivals. The real waste is bidding to cover weak rankings. Judge each term by cost per conversion next to organic position. In the video, every term with a weak ranking cost $1,010 or more per conversion.
The recording below is the whole workflow: 3 ordinary questions, asked in an AI chat with Quattr connected.
You are buying clicks you already own. So cut them?
◐ Recreated from an anonymized sessionPrice your own overlap before cutting it
This run
In this video, it joins ad spend to organic rankings and prices a conversion on every overlapping term.
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 Are we paying for search terms we already rank for organically?
- Prompt 2 Before we cut it, what does a conversion cost on each of those?
- Prompt 3 So where is the money actually going to waste?
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 →
Why does paid spend land on terms you already rank for?
Five causes; each with the sign that reveals it and the fix that frees the spend.
01Brand ads defend the top slot
Rivals can buy ads on searches that include your brand name, so the ad holds the space above your own number one result. You will see your cheapest cost per conversion on exactly those searches. The fix: keep the brand ads, and judge them on cost per conversion rather than on the overlap alone.
02Ads quietly cover weak rankings
When a page ranks poorly, buying the click is the fastest patch, and the patch quietly becomes permanent. You will see your highest costs per conversion on the terms where you rank worst. The fix: move the pages ranking at positions 8 to 20 onto page one, then let the spend on those terms fall away.
03Broad matching drags in terms you own
Loosely matched ads expand onto searches you never chose, including ones your pages already win. You will see paid clicks arriving on terms nobody remembers bidding on. The fix: review the actual search terms behind the spend, and exclude the ones your page-one rankings already cover.
04Paid and organic report separately
The two budgets live in different tools with different owners, so nobody sees the same term paid for and ranked for at once. You will see neither team able to list what you both buy and rank for. The fix: join spend to rankings term by term, and review that one table together each quarter.
05Nobody dares test a pause
Without a test, every ad looks necessary, so overlap accumulates by default. You will see page-one terms that have carried spend for years without anyone pausing them. The fix: pause one overlapping term at a time, and watch whether organic picks up the clicks before deciding.
Transcriptmachine-transcribed · corrected for product terms
0Every ads account has one of these.
3A search term you are paying for that you already rank for.
7It looks like free money, just sitting there.
10So I ask the question nobody in the room really wants the answer to.
16It takes the ad spend and lines it up against the organic rankings one term at a time through the Quattr MCP.
25And look at that top line.
28That is our own brand name and we already rank number one for it.
33Nearly $700,000 in three months on a search we were already winning.
40Now, the tempting move is to switch that off.
45So before anyone does, what does each of these actually cost?
50It puts the cost per conversion next to where we rank for every one of those terms.
58Oh, now look at that.
1:00Sorted by our ranking and the cost climbs the whole way down.
1:06$214, where we rank number one.
1:10A thousand or more everywhere we do not.
1:13Good rankings are what makes the ads cheap.
1:18Which flips the whole question.
1:20If the brand term is not the waste, then where is it?
1:24It looks for the pages closest to page one on the terms we are paying most for.
1:32And the one at the top is for the partner product.
1:35That is the term costing us a thousand a quarter.
1:39Move these up and the expensive ads have far less work to do.
1:44That is where the money actually is.
1:48So we came in to cut the biggest line and we leave protecting it with the real waste found somewhere else entirely.
1:56That is the Quattr MCP.
1:58It joins your ads to your rankings and it stops you cutting the wrong thing.
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 price this overlap 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 terms you both buy and rank for, what a conversion costs on each, and which pages near page one could replace the spend.
How does it join ad spend to organic rankings?
It matches the search terms in your ad account against the same terms in Search Console, then lines up spend, paid clicks, cost per conversion and average position in one table. The click projections in the last step are modeled on your own click-through curve and labeled as a direction, not a promise.
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.
Price your own overlap before cutting it
Connect Quattr once and these prompts join your ad spend to your rankings and put a cost per conversion on every term you both buy and rank for.
Read-only · OAuth 2.1 · existing Quattr permissions · no API keys