Sized against the right curve
Every row is flagged for whether an AI Overview was present, so you can see which numbers were adjusted and why. A clean-curve estimate can nearly double the apparent upside on those pages.
Content, SEO and AEO · Free report
Your ranked pages, sized against the CTR curve that actually matches your SERP, with the ones losing the most clicks ranked first. No cost, no card.
There is a gap between the impressions your pages earn and the clicks they convert, and it is almost never on your dashboard.
Two things widen it. Position is the familiar one: a page sitting at #3 or #4 earns a fraction of the clicks it would at #1, and the difference is a known, quantifiable curve. The newer one is AI Overviews. When Google answers the question at the top of the results, it collapses the click-through rate of everything beneath it. Position-1 CTR runs around 39.6% on a clean result and around 18.6% when an AI Overview is present. Position 3 falls from roughly 10.6% to 5.0%.
Most SEO tools never see this. They size your CTR opportunity against a single clean-SERP curve, so on a page where an AI Overview is present they quietly overstate the upside and misread the cause. We size the gap against the curve that matches your result.
An illustrative example, not your data. Your report plots your own pages against both curves.
Send us a Search Console export, or grant read-only access. Nothing write-enabled, and we do not need your analytics or revenue data for this report.
The query API truncates the long tail by roughly 40% to 60%, and the long tail is exactly where the recoverable clicks hide. Unglamorous, and it changes what the report can see.
We keep a separate expected-CTR curve for AI-Overview-present results and apply the right one per page, then split the upside into the CTR gap and the rank lift so you know whether it is a title job or a rankings job.
Each opportunity is scored on value, confidence and effort, then bucketed into quick win, core project, strategic bet or backlog. You look at the top and start there.
The clicks you are already earning impressions for, ranked by what it would take to win them back.
You get your headline number, the two-curve scatterplot with your own pages plotted against it, and the full ranked opportunity table: every qualifying page with its CTR gap, its opportunity clicks, and a flag for whether an AI Overview was present when we measured it.
Every row is flagged for whether an AI Overview was present, so you can see which numbers were adjusted and why. A clean-curve estimate can nearly double the apparent upside on those pages.
The list is ordered by opportunity rather than alphabetised, with the CTR gap separated from the rank lift so you know which fix each page actually needs.
It is a directional estimate built from your own Search Console data, and we say so on every result. The measured proof comes later, when work ships and we compare a 28-day before and after.
The cards above are the headline. This is the full list of what goes into the report and what you get back, so there are no surprises when it arrives.
Most Search Console graders do two things we deliberately do not. They size every page's CTR gap against one clean-SERP curve, and they present the output with false precision. Both cost you money. On a page where an AI Overview is present, a clean-curve estimate can nearly double the apparent upside, which sends you chasing clicks that were never available at that position. And a black-box opportunity score you cannot interrogate is impossible to prioritise against.
We do the opposite. We segment the expected-CTR curve by whether an AI Overview is present, size each page against the curve that matches its result, and label the whole thing as what it is: a directional estimate built from your Search Console data, not a guarantee.
And we say what it does not do. It does not read your revenue, because Search Console knows clicks, not money; turning clicks into a revenue number honestly needs your GA4 data and your own conversion economics. It does not diagnose technical root cause on its own. It does not replace your analytics.
Plenty of tools will find your CTR gaps. None of the ones we checked size them against the result you actually have.
| MxD Search Opportunity | Free and low-cost GSC tools | Big suites (Semrush, Ahrefs) | |
|---|---|---|---|
| Uses your own Search Console data | Yes, export or read-only | Yes | Yes, via a connection |
| AI-Overview-aware CTR curves | Yes, a separate curve per result | No, a single blended curve | Not published |
| Reads the bulk export, not the API | Yes | Mostly API or CSV upload | API-based |
| Rank-lift upside split from CTR gap | Yes | Varies | Varies |
| Ranked by priority, not alphabetised | Yes | Varies | Varies |
| Directional-estimate framing | Stated on every result | Rare | Rare |
| Managed fixes with measured proof | Yes, on request | No, software only | No, software only |
Swipe the table to see every column.
Competitor capabilities and pricing checked against vendor pricing and product pages on 22 July 2026. Vendors reprice and rename features often, so reverify before relying on any figure.
The report is free, and there is no card and no trial. The honest catch is that we are an agency: if the report is useful and you would rather we did the work and measured the result, that managed service is what we sell. The report stands on its own either way.
No. The low-friction path is to send us your Search Console export as a CSV, with nothing to authorise. If you would rather, you can grant read-only access instead. Either way we only read search-performance data, and we never touch anything write-enabled.
Because this report reads Search Console, and Search Console knows clicks, not money. Turning clicks into a revenue number honestly needs your GA4 data and your own conversion economics, which is the connected upgrade in the managed service. We would rather show you a real clicks number than a made-up revenue one.
The curve. Most tools size your CTR gap against a single clean-SERP curve. When an AI Overview sits above your result that curve is wrong, and it overstates your upside. We keep a separate AI-Overview-aware curve and size each page against the one that matches its result, then flag every row so you can see which numbers were adjusted.
It is a directional estimate built from your own Search Console data, and we label it that way on purpose. The maths is grounded, with tiered thresholds on statistically derived floors rather than round numbers someone liked. But it is a model of opportunity, not a guarantee of clicks.
Not in this report. This one is scoped to Search Console CTR opportunity, sized with AI-Overview awareness. Whether Google cites you inside an AI Overview is a separate MxD check, and broader answer-engine tracking is rolling out. Ask and we will point you at the right one.
The free report tells you where the recoverable clicks are. Our managed Content, SEO and AEO service does the work to recover them, joins your GA4 data so clicks can be read as revenue, and measures a 28-day before and after so the movement is proven rather than claimed.