AI Visibility: Searchmetrics SEO Visibility

Searchmetrics SEO Visibility After the Conductor Acquisition

The Searchmetrics legacy page now directs readers to Conductor. If you have an older Searchmetrics report, its SEO Visibility score describes rankings across that product's keyword set. Keep that history separate from any new score built with different keywords or weights.

How Searchmetrics Calculated SEO Visibility

The mechanics were never fully open, but the shape of the calculation is well documented and it is not complicated.

1. A fixed keyword set. This was the important design choice, and the one most people miss. Searchmetrics did not measure your keywords. It measured a large standard basket of keywords per country, the same basket for every domain. That is what made the scores comparable across competitors, and it is also why a domain could post a low score while doing perfectly well on the terms it actually cared about.
2. Search volume weighting. Each keyword contributed in proportion to how often it was searched. Ranking for something nobody searches moves nothing.
3. Position weighting from a CTR model. Each ranking position carried a weight reflecting the share of clicks that position typically earns. First place counted enormously more than fifth, which counted enormously more than fifteenth.
4. Aggregate and index. Sum the weighted contributions and express the result as an index value rather than a percentage of anything intuitive. The number was meaningful compared against itself over time or against a competitor, and meaningless in isolation.

That last point caused endless confusion. A visibility score of 4,200 tells you nothing. A visibility score that fell from 4,200 to 2,900 in a week tells you a great deal.

How CTR Weights Change an SEO Visibility Score

The click model matters. Different query populations and position weights can produce different scores from the same ranking list. Without the original basket, weights, and scaling, an independently calculated number should not be labeled the Searchmetrics index.

Our CTR by Search Position dataset provides a dated first-party example with the raw buckets and sample sizes, released under CC BY 4.0. The September 7 export covers 368,474 disclosed-query impressions across 120 properties, and the October 9 refresh covers 496,768 across 155. It is context for choosing a model, not a universal curve.

How to Build Your Own SEO Visibility Indicator

Document the keyword basket, each keyword’s search-volume estimate, its ranking observations, and the click model. Those inputs let someone reproduce your indicator.

• A keyword set you commit to. Pick it once and stop changing it. The moment you add or drop keywords, your score stops being comparable to its own history, which was the only thing it was ever good for. Searchmetrics solved this by fixing the basket globally. You solve it by fixing yours and leaving it alone.
• Positions for those keywords. Search Console gives you average position for anything you already rank for. A rank tracker fills in the rest.
• A position weighting curve. Use ours, or better, calculate your own from your own Search Console data. The full formula and a worked example are written out step by step.

Run that monthly against the same basket and you have a transparent visibility indicator of your own. It will not reproduce a proprietary Searchmetrics score: the keyword basket and position weights can differ. The useful advantage is knowing exactly what went into your calculation.

SEO Visibility Formula: A Two-Keyword Worked Example

Suppose two keywords each have a monthly search volume of 100. Your chosen click model assigns your current positions expected CTRs of 10 percent and 2 percent, while first place is assigned 20 percent for both terms. These are illustrative inputs, not a universal CTR curve.

The expected-click numerator is (100 × 0.10) + (100 × 0.02) = 12. The first-place denominator is (100 × 0.20) + (100 × 0.20) = 40. Your relative visibility is 12 / 40 = 30 percent.

That is a model output. It does not mean you received 12 clicks, and it is not the proprietary Searchmetrics index. For the full definition and the limits of substituting GSC impressions for search volume, use the search visibility formula.

What Searchmetrics SEO Visibility Misses About AI Search

Rebuilding the old index is worth doing. It is also worth being clear about what you are rebuilding.

SEO Visibility measured one surface: ranked organic results. In 2023 that was most of the picture. It is a shrinking share of it now. The metric cannot see whether you appear in an AI Overview, whether an answer engine cites you, or whether a knowledge panel is answering your query before anyone reaches a result at all. A domain can hold a stable visibility index while quietly losing the surfaces that increasingly decide whether anyone encounters it.

That is not a criticism of the metric. It measured what was measurable, honestly, for the era it was built in. It is a caution against treating a single number as a complete answer now that the results page has stopped being one thing. The argument for tracking surfaces separately is laid out in Search Visibility Index vs. AI Visibility Science, and the retrieval-side half of the picture is covered in AI Search Visibility vs. Search Visibility.

What Replaced Searchmetrics SEO Visibility?

Commercially, Conductor absorbed the product and the European customer base. Practically, the visibility-index concept lives on in almost every rank tracking tool under a different name: Semrush and Ahrefs both ship their own visibility or share-of-voice metric built on the same three inputs.

Do not compare the resulting numbers until you have checked the keyword coverage, weights, and scale each product uses.

Which brings the whole thing back around to the same place. The metric was never magic. It was volume, position, and a click curve, wrapped in a number that only meant something relative to itself. A transparent indicator makes those assumptions inspectable. Its value is helping you choose the next question, with actual traffic and inquiries measured separately.

How to Find Your SEO Visibility Score

Use a rank tracker with a defined keyword set, country and device. For example, Semrush Position Tracking reports visibility for the keywords in its tracking campaign. Keep those settings fixed when comparing dates, and compare competitors inside the same setup.

If you want a calculation you can inspect, use our search visibility formula and CTR dataset. For a practical reading of the result, see what makes a search visibility score useful.

SEO Visibility Scores and AI Visibility Scores Measure Different Things

A ranking score describes presence in search results. An AI visibility score depends on the answers being tested and whether the brand is mentioned or cited. Ahrefs describes its AI visibility metrics as mentions, citations, impressions and AI share of voice.

There is no single good AI visibility score across different tools and question sets. Compare the same brand and competitors under the same test conditions. Our AI search visibility tracking guide explains how to keep those comparisons useful. The free checker measures page readiness for retrieval; its score is a separate reading.

Use Your SEO Visibility Score to Choose the Next Fix

Our own 8,148-impression study follows the gap between being visible and getting a useful inquiry. If you need help interpreting your rankings alongside your pages and offer, request a priced AI Symantix Audit. The free page checker answers a narrower question about retrieval clarity; it does not calculate this visibility index.