On this page
Methodology

How we calculate every number.

Each figure in your portal and reports has a definition, a formula, a time window and a source. They are all listed here, including the limits of each one. If a number ever looks wrong to you, this page tells you exactly what to check it against.

Four rules we hold ourselves to

  1. 01

    Your data, not ours

    Clicks, impressions and positions come from Google Search Console. Revenue and orders come from your Google Analytics 4. We do not adjust either.

  2. 02

    We only claim what we touched

    A page counts toward our results only if our work log shows a verified change we shipped to it. For pages that already existed, “clicks from our work” counts only the uplift over their own baseline. Where a number uses a more generous rule, as the return-on-fee card does, its explanation says so.

  3. 03

    Bad numbers are shown too

    Uplift can be negative, and rolled-back work stops earning credit. We show both as they are.

  4. 04

    Estimates are labelled

    Forecasts, revenue at risk and AI visibility are estimates. Each one says so, and says how it is estimated.

Where the data comes from

Each number says which of these sources it uses, and how fresh each one is.

Google Search Console (via SEOGets)

updated daily

Google's own record of how often your site appeared in search, how often it was clicked and where it ranked.

Known limits: Google publishes search data 2–3 days late and keeps revising the most recent days, so the latest numbers can still move a little.

Google Analytics 4 (via SEOGets)

updated daily

Sessions, orders and revenue that GA4 assigns to the Organic Search channel on your store.

Known limits: GA4 only sees visitors who accept tracking, so it usually reports a little less than Shopify does. Recent days can be revised for up to 48 hours.

Google rank checks (Serper)

checked daily

We look up each tracked keyword on Google in your main market and record where you and your competitors appear in the top 100.

Known limits: A rank check is one snapshot from one location. Real rankings vary by searcher, device and city, so treat single-position moves as noise.

Ahrefs (Brand Radar and keyword data)

updated monthly

Search volumes for keywords, and how often AI assistants mention or cite your brand and your competitors.

Known limits: Ahrefs numbers are modelled estimates from its own sample of searches and AI prompts, not a full count.

Our weekly site crawl

every Monday

Every Monday we crawl your public storefront like a search engine would and map every page and internal link.

Known limits: The crawl is polite (at most one request per second) and capped, so very large stores are sampled rather than crawled in full.

Your Shopify store data

refreshed with each store snapshot

Products, collections and stock availability read from your store.

Known limits: Stock can change between snapshots, so an item that just sold out or came back may show late. The date of the last snapshot is shown next to the number.

Our work log and attribution records

logged live · results recalculated daily

Every change we ship is logged with its page, date, backup and verification. That log decides which pages count as built or improved by us.

Known limits: Results are rolled up by complete weeks (Monday to Sunday) and the last 8 weeks are recalculated every day as Google revises its data.

Your monthly content plan

live

The pages we planned for you this month, with their target keyword, status and estimated value.

Known limits: Estimates in the plan are forecasts made when the plan was written. They are not updated as rankings change.

Revenue from organic search

What those visits were worth, as measured by Google Analytics 4.

Organic revenue

Sales from visitors who arrived through unpaid search, as recorded by Google Analytics 4.

How we calculate it
Sum of daily purchase revenue that GA4 assigns to the Organic Search channel, in your store currency.
Time window
The 28 days ending on the latest day with search data.
Compared with
Percentage change against the 28 days before. Year on year compares with the same 28 days 52 weeks earlier, so weekdays line up.
Where the data comes from
updated daily
Good to know
This is GA4's view, not your Shopify payouts: GA4 misses visitors who decline tracking and credits the sale to the last channel before purchase. Expect it to be somewhat lower than Shopify's own numbers. It covers all organic search, not only pages we worked on.

Orders from organic search

Purchases made in sessions that started from unpaid search.

How we calculate it
Sum of daily GA4 purchase conversions in the Organic Search channel.
Time window
The 28 days ending on the latest day with search data, or the report's period.
Compared with
Percentage change against the previous period of the same length.
Where the data comes from
updated daily
Good to know
Counted by GA4, so it will not match Shopify's order count exactly.

Organic sessions

Visits to your store that started from unpaid search.

How we calculate it
Sum of daily GA4 sessions in the Organic Search channel.
Time window
The report's period.
Compared with
Percentage change against the previous period and the same period last year.
Where the data comes from
updated daily
Good to know
Sessions (GA4) and clicks (Search Console) are measured differently and never match. Sessions include Bing and other search engines; clicks are Google only.

Comparisons

What the green and red percentages next to a number are compared against.

Change vs the previous period

The green or red percentage next to a number: how much it moved compared with the period just before.

How we calculate it
(this period − previous period) ÷ previous period. Rankings are shown as a difference in positions, and rates (CTR, share of voice) as percentage points.
Time window
Dashboard: last 28 days vs the 28 days before. Weekly report: Monday–Sunday vs the week before. Semi-monthly: the same number of days immediately before. Competitor report: the previous month. Quarterly: the previous quarter.
Compared with
Shown as “—” when there is no data for the earlier period.
Good to know
Short periods are noisy, and consecutive periods can straddle a holiday or a sale. For seasonal stores the year-on-year figure is the fairer comparison.

Year on year

The same stretch of time one year earlier. It removes seasonality, so it is the fairest test of real growth.

How we calculate it
(this period − same period last year) ÷ same period last year.
Time window
Dashboard: the 28 days ending 364 days before the latest data day, so the weekdays match. Reports: the same calendar dates one year earlier.
Compared with
Shown as “—” until we have a full year of history for your store.
Good to know
Holidays that move between years (Easter, Lunar New Year, sale dates) can distort a single period.

Return on your fee and our share of the results

How we separate what our work produced from what your site would have done anyway. These are the numbers we are most careful with.

Return on your SEO fee

For every unit of currency you pay us each month, how much organic revenue came in through pages we built or improved. 3.0× means those pages brought in three times your monthly fee.

How we calculate it
(All organic revenue from pages we built + the extra revenue on pages we improved, over each page's average for the 4 weeks before our change) over the last 4 complete weeks ÷ your monthly fee. “New pages” are collections and articles we published; “Improved pages” are existing pages we re-optimised.
Time window
The last 4 complete Monday–Sunday weeks. The current, unfinished week is left out so it does not read as a drop.
Compared with
Compared with your monthly fee. No period-over-period change is shown.
Where the data comes from
updated daily · logged live · results recalculated daily · live
Good to know
This is revenue, not profit. Improved pages count only for their uplift, which can be negative if a page does worse after our change — we show that rather than hide it. Revenue is credited to the page a visitor landed on, as GA4 records it, and seasonality can move a page's revenue independently of our work.

Pages we built or improved

The list of pages our results are measured on. A page is on it only if our work log shows a verified change that we shipped to it.

How we calculate it
Built = a collection page or article we created, counted once from its first go-live date. Improved = an existing page we changed; at that moment we store its average weekly clicks, revenue and position over the 4 weeks before the change as its baseline.
Time window
From the week a page went live until today, or until the change is rolled back.
Compared with
No comparison is shown for this number.
Where the data comes from
logged live · results recalculated daily · live
Good to know
If a change is rolled back, the page stops earning credit from that week. Pages you or another team edited are not on the list, even if they grew.

Clicks from our work

Search clicks that exist because of pages we built, plus the extra clicks existing pages earn since we improved them.

How we calculate it
All clicks on pages we built + uplift on pages we improved. Uplift for a week = the page's clicks that week − its weekly baseline (its average over the 4 weeks before our change). If the combined uplift for the period is negative it is counted as zero in this total, and shown as negative in the breakdown.
Time window
Complete Monday–Sunday weeks only. Client view: the last 4 rolled-up weeks.
Compared with
Against the same number of weeks immediately before.
Where the data comes from
recalculated daily for the last 8 complete weeks
Good to know
A baseline is a simple before-and-after comparison. It cannot separate our change from seasonality or a Google update, so uplift on improved pages is an estimate. Clicks on built pages are an exact count.

Clicks on pages we built

Search clicks on collection pages and articles we created. These pages did not exist before, so all of their clicks count.

How we calculate it
Sum of weekly clicks on every built page, starting with the week it went live. Each page is counted once even if it was re-published.
Time window
Complete weeks in the selected range (4 weeks, 13 weeks, year to date or all time).
Compared with
Against the same number of weeks immediately before.
Where the data comes from
recalculated daily for the last 8 complete weeks
Good to know
Some of these clicks might have gone to another page on your site if ours did not exist. We check new pages for overlap before building, but we do not subtract for it.

Extra clicks on improved pages

How many more clicks existing pages earn since we improved them, compared with what they earned before.

How we calculate it
For each improved page and week: clicks that week − baseline. The baseline is the page's average weekly clicks over the 4 full weeks before our change. If a page was improved more than once, the earliest baseline is used.
Time window
Complete weeks from the change onward, within the selected range.
Compared with
The baseline itself is the comparison.
Where the data comes from
recalculated daily for the last 8 complete weeks
Good to know
This number can be negative and we show it when it is. A page that was already falling, or is seasonal, can sit below its baseline even after a good change. Rolled-back changes stop counting from the week of the rollback.

Revenue on pages we built

Organic revenue from visits that landed on a page we created.

How we calculate it
Sum of weekly GA4 organic revenue by landing page, for every built page from its go-live week.
Time window
Complete weeks in the selected range.
Compared with
No comparison is shown for this number.
Where the data comes from
recalculated daily for the last 8 complete weeks
Good to know
Revenue goes to the landing page. A shopper who lands on our article and buys after browsing other pages is fully credited to the article; one who lands elsewhere and then reads it is not credited at all.

Extra revenue on improved pages

How much more organic revenue improved pages earn than they did before our change.

How we calculate it
For each improved page and week: revenue that week − baseline weekly revenue (its average over the 4 weeks before the change).
Time window
Complete weeks from the change onward, within the selected range.
Compared with
The baseline itself is the comparison.
Where the data comes from
recalculated daily for the last 8 complete weeks
Good to know
Revenue per page swings more than clicks: one large order moves it. Can be negative. Treat it as a direction, not a precise figure.

Share of site clicks

What part of all your Google clicks came from our work.

How we calculate it
Clicks from our work ÷ all organic clicks on the site (Search Console) over the same weeks.
Time window
The same complete weeks as “clicks from our work”.
Compared with
No comparison is shown for this number.
Where the data comes from
recalculated daily for the last 8 complete weeks
Good to know
A low share is normal early on and for stores with heavy brand search. The top and bottom of this ratio come from different Search Console reports (by page and by site), which Google rounds differently.

Page maturity

New pages take weeks to months to pay off. These milestones show where each one is.

Page maturity stages

The milestones a new page passes on its way to earning money, and how many days after launch it reached each one, next to what is typical.

How we calculate it
For each new collection or article: days from launch to the first week in which the milestone was true. Launch is the publish date, or the first week the URL appears in search data if that is earlier. A chip turns bright green when the page was at least as fast as typical; an amber dot means it has taken more than 1.5× the typical time and is still not there.
Time window
Pages launched in the last 90 days. The library shows the furthest stage each page has ever reached.
Compared with
Against our typical timings for a new Shopify page (listed below). They are benchmarks from our own client work, not guarantees.
In detail
  • IndexedGoogle has the page in its index. Typical: 4 days.
  • ImpressionsThe page appeared in search results at least once. Typical: 7 days.
  • Top 50Its weekly average position reached 50 or better. Typical: 21 days.
  • First clickSomeone clicked it from Google. Typical: 14 days.
  • Top 10Its weekly average position reached page one. Typical: 75 days.
  • First saleA visit that landed on it ended in a purchase. Typical: 45 days.
Good to know
Milestones are read from weekly data, so “week 1” means it happened in the launch week and day counts move in steps of 7. “Indexed” is inferred from the page showing up in Search Console, not from a live check of Google's index. “First sale” uses GA4 landing-page revenue.

Clicks and position per page

How one page we delivered is doing on Google right now.

How we calculate it
Clicks: sum of the page's weekly clicks over the most recent weeks. Position: the page's average position in its latest week of data. The small chart is its weekly clicks over the last 12 weeks.
Time window
Roughly the last 4 to 5 weeks, because page data is stored by week and the current week is still filling in.
Compared with
No comparison is shown for this number.
Where the data comes from
updated daily
Good to know
A page ranks for many searches at once; its position is an average across all of them, so it will not match a single keyword's rank.

Keywords and rankings

Where you rank for the keywords we track, and how you compare with competitors.

Tracked keywords

The searches we check your Google ranking for. They are chosen with you from your plan: the keywords your new and improved pages target, plus your brand terms.

How we calculate it
Count of keywords on your tracking list. “Top 3” and “Top 10” count the keywords whose latest checked position is 3 or better, or 10 or better (top 10 includes the top 3).
Time window
The latest rank check.
Compared with
No comparison is shown for this number.
Where the data comes from
checked daily · updated monthly
Good to know
This is a sample. Your site ranks for many more searches than we track; Search Console clicks and impressions cover all of them.

Keywords by position

How your tracked keywords are spread across Google's results: top 3, rest of page one, page two, pages three to five, and beyond.

How we calculate it
On each rank-check day, every tracked keyword is put in one group by its position: 1–3, 4–10, 11–20, 21–50, or 51+ (which includes keywords where you are not in the top 100).
Time window
The last 12 months of rank checks. Reports compare the start and the end of the report period and leave brand keywords out.
Compared with
Read the chart left to right: the green bands growing and the grey band shrinking is progress.
Where the data comes from
checked daily
Good to know
When we add keywords for new pages they start in 51+, which makes the grey band grow for a while. That is new work entering the chart, not lost rankings.

Position change

How far a keyword moved up or down recently.

How we calculate it
Earlier position − latest position, where “earlier” is four rank checks before the latest one. Positive means you moved up. A keyword counts as “moved” when the change is more than half a position.
Time window
The latest rank check vs four checks earlier. The small chart shows the last 12 checks.
Compared with
“Best competitor” is the tracked competitor with the highest position for that keyword in the latest check.
Where the data comes from
checked daily
Good to know
Because the comparison is by number of checks rather than by date, it covers about 4 days when we check daily and about 4 weeks if checks are weekly. Moves of one or two positions are normal day-to-day noise.

Striking distance

Keywords where you already rank close to the top. A small push (better title, more internal links, fresher content) often moves these into positions that get most of the clicks.

How we calculate it
Non-brand tracked keywords whose latest position is between 4 and 20, sorted by monthly search volume. The list shows the top 10.
Time window
The latest rank check.
Compared with
No comparison is shown for this number.
Where the data comes from
checked daily · updated monthly
Good to know
Search volume is an Ahrefs estimate of monthly searches in your market, not a promise of clicks. These keywords feed the next month's re-optimisation list.

Share of voice

Of the page-one visibility available on your tracked keywords, how much is yours and how much belongs to each competitor.

How we calculate it
For you and your top 5 competitors: add up the monthly search volume of every tracked keyword where that site ranks in the top 10. Share = one site's total ÷ the total of all six sites.
Time window
Calculated on each rank-check day over the last 26 weeks.
Compared with
Compared with the competitors on your list. The shares always add up to 100%.
Where the data comes from
checked daily · updated monthly
Good to know
It only covers the keywords we track and the competitors we list, and it treats position 1 and position 10 the same. It includes your brand keywords. It is a relative score, not a market share.

AI search visibility

How often AI assistants mention and link to your brand.

AI search share of voice

When people ask AI assistants (ChatGPT, Perplexity, Google's AI Overviews and similar) about your category, how often your brand is named compared with your competitors.

How we calculate it
Your brand mentions ÷ total mentions of you and your tracked competitors, summed across the AI platforms Ahrefs Brand Radar monitors.
Time window
One calendar month.
Compared with
Change in percentage points (pt) against the previous month, and your rank among the tracked brands.
Where the data comes from
updated on the 2nd of each month for the month before
Good to know
This is the least exact number on the platform. Ahrefs samples a fixed set of prompts; AI answers change from one ask to the next and nobody can see every conversation. Use it to follow direction over several months, not to read a single month.

AI mentions

How many sampled AI answers named your brand.

How we calculate it
Count of AI answers mentioning your brand in Ahrefs Brand Radar, all monitored platforms added together.
Time window
One calendar month.
Compared with
No comparison is shown for this number.
Where the data comes from
updated on the 2nd of each month for the month before
Good to know
A sample count, useful for comparing brands with each other rather than as an absolute figure.

AI citations

How many sampled AI answers linked to a page on your site as a source.

How we calculate it
Count of AI answers citing your domain in Ahrefs Brand Radar, all monitored platforms added together.
Time window
One calendar month.
Compared with
No comparison is shown for this number.
Where the data comes from
updated on the 2nd of each month for the month before
Good to know
A citation can send a visitor; a mention alone usually does not. Both are sampled.

Revenue at risk

Pages that earn search traffic but currently cannot sell.

Revenue at risk

Pages that people still find on Google but that cannot sell right now, with an estimate of what each one normally earns per day.

How we calculate it
We look at every page with at least one Google click in the last 4 complete weeks. Amount per day = the page's organic revenue over those 4 weeks ÷ 28. The total adds up every flagged page.
Time window
Revenue from the last 4 complete weeks; stock and index status as of the latest sync.
Compared with
No comparison is shown for this number.
In detail
  • Out of stockA product page whose product is unavailable, or a collection where every product is unavailable. Counted at the page's full daily amount.
  • Partly out of stockA collection where some products are unavailable. Counted at daily amount × (unavailable products ÷ all products in the collection).
  • Empty collectionA collection URL that still gets clicks but has no products in your store data. Full daily amount.
  • Dropped from Google's indexThe page was flagged as not indexed in its latest week of search data. Full daily amount.
  • Broken (404)Our latest crawl found a link on your site pointing to a page that no longer exists. Priced from that page's own recent revenue if it had any.
Where the data comes from
updated daily · refreshed with each store snapshot · every Monday
Good to know
It is an estimate of what is exposed, not a measured loss: some shoppers buy another product or come back later. Pages that get clicks but earned no tracked revenue show “—”. Only the 8 largest are listed; the total covers all of them.

Opportunity pipeline

Forecast value of the work that is planned or in progress.

Opportunity pipeline value

What the pages we have planned and are working on could be worth per month once they are live and ranking.

How we calculate it
Sum of the estimated monthly value of plan items. The headline adds Planned and In progress; Live is shown separately. Each item's estimate = expected monthly clicks at its target ranking (from the keyword's search volume) × the value of a click for your store.
Time window
Items in this month's and next month's plan.
Compared with
No comparison is shown for this number.
Where the data comes from
live · updated monthly
Good to know
A forecast, not a promise. It assumes the page reaches its target ranking, which takes months and does not always happen. When only clicks can be estimated, each click is valued at a flat 1.20 in your store currency. The estimate is fixed when the plan is written and is not updated afterwards.

Estimated clicks and value of a planned page

What one planned page could bring in per month once it ranks.

How we calculate it
Estimated monthly clicks = the keyword's monthly search volume × the share of searchers who click a result at the target position. Estimated value = those clicks × the value of a click for your store.
Time window
Per month, once the page has matured (typically 3 months or more after launch).
Compared with
No comparison is shown for this number.
Where the data comes from
live · updated monthly
Good to know
Made by our planner when the plan is written, from Ahrefs search volumes. Use it to rank ideas against each other, not as a revenue forecast for one page.

Site health and internal links

What our weekly crawl finds on your storefront.

Site health score

A 0–100 score for the technical condition of your storefront, based on the problems our crawl finds. 100 means we found nothing to fix.

How we calculate it
Start at 100. Each type of problem found takes points off by severity (critical 30, high 15, medium 7, low 3), scaled by how widespread it is: weight × (0.35 + 0.65 × share of pages affected). The score cannot go below 0.
Time window
The latest weekly crawl. The small chart shows every crawl so far.
Compared with
Change in points against the crawl four weeks earlier.
Where the data comes from
every Monday
Good to know
Our own scoring, not a Google score, and it will not match Ahrefs or Semrush health scores. It covers what a crawler can see (links, titles, headings, redirects, indexability), not speed or content quality.

Orphan pages

Pages that exist on your store but that no other page links to. Shoppers cannot browse to them and Google gives them little weight.

How we calculate it
Pages listed in your sitemap that received zero internal links in the crawl. The homepage is excluded.
Time window
The latest weekly crawl.
Compared with
Against the previous crawl, or the crawl four weeks earlier on the home page.
Where the data comes from
every Monday
Good to know
A page linked only from your menu or footer is not counted as an orphan, but it is flagged separately because links inside page content carry more weight.

Click depth

How many clicks it takes to reach a page starting from your homepage. Important pages should be within 3.

How we calculate it
The shortest path of internal links from the homepage to each page. The figure shown is the average over every page the crawl could reach. Pages deeper than 4 clicks are flagged.
Time window
The latest weekly crawl.
Compared with
Against the previous crawl. Lower is better.
Where the data comes from
every Monday
Good to know
Pages that cannot be reached by links at all are left out of the average and show as orphans instead.

Pages crawled

How many pages of your storefront our crawler found and read.

How we calculate it
Count of pages discovered through your sitemap and by following internal links.
Time window
The latest weekly crawl.
Compared with
Against the previous crawl.
Where the data comes from
every Monday
Good to know
Very large stores are capped, so this can be lower than the number of pages you actually have.

Delivery and safety

What we have shipped this month and how safely we ship it.

Monthly plan progress

Your plan each month is 20 new collection pages, 20 articles and 20 re-optimisations of existing pages. The rings show how many of each are live.

How we calculate it
Done = plan items that are published or verified live. In flight = items being drafted, in review, approved or scheduled. The target is the number of items in this month's plan (20 if the plan is not set yet).
Time window
The current calendar month in your store's time zone.
Compared with
No comparison is shown for this number.
Where the data comes from
live · logged live · results recalculated daily
Good to know
An item counts as done only after we have checked the live page. Items waiting on your approval stay “in flight” until you decide.

Changes made

Every change we have applied to your store.

How we calculate it
Count of completed entries in our work log with a successful outcome.
Time window
Since we started working together.
Compared with
No comparison is shown for this number.
Where the data comes from
logged live · results recalculated daily
Good to know
One entry can cover several fields on the same page (for example title and description).

Backed up before writing

The share of change batches for which we saved a full copy of the original before touching anything.

How we calculate it
Change batches with a stored backup ÷ all change batches.
Time window
Since we started working together.
Compared with
No comparison is shown for this number.
Where the data comes from
logged live · results recalculated daily
Good to know
Our system refuses to write without a backup, so anything below 100% is a batch that was stopped before it changed your store.

Rollbacks

Changes we undid, restoring the page exactly as it was.

How we calculate it
Count of change batches that were rolled back. “Automatic” counts the ones undone because our check of the live page failed.
Time window
Since we started working together.
Compared with
No comparison is shown for this number.
Where the data comes from
logged live · results recalculated daily
Good to know
A rollback is the safety system working, not a failure. Rolled-back work stops counting toward our results.

Open incidents

Changes that failed and have not been rolled back yet.

How we calculate it
Count of change batches in a failed state with no rollback recorded.
Time window
Right now.
Compared with
No comparison is shown for this number.
Where the data comes from
logged live · results recalculated daily
Good to know
This should be zero. If it is not, a person on our team is already looking at it.

Report figures

Numbers that appear only in your weekly, semi-monthly, competitor and quarterly reports.

Quick wins

Notable improvements in the week, picked automatically from the data.

How we calculate it
A win is listed when a tracked keyword enters the top 10 or top 20, a page we launched gets its first impressions, a page moves onto page one, a page's click-through rate rises by at least 20% (with 80 or more impressions), or a page gains at least 25% and 8 more clicks than the week before.
Time window
This report week vs the week before.
Compared with
Week over week.
Where the data comes from
checked daily · updated daily
Good to know
One week is a short time. A win listed here can slip back; we watch it for a few weeks before calling it stable.

Biggest ranking moves

The tracked keywords that rose or fell the most during the period.

How we calculate it
Position on the day before the period started − position on its last day, for non-brand keywords. A keyword that is not ranking counts as position 101. The five largest moves each way are shown.
Time window
The report's period.
Compared with
Start of period vs end of period.
Where the data comes from
checked daily
Good to know
A keyword entering the top 100 for the first time shows as a very large jump.

Content by launch month

Pages grouped by the month they first appeared in search, showing how each month's batch keeps earning. It is how you see SEO compound.

How we calculate it
A page joins the month of its first week in Search Console data. Pages that already existed when tracking began are left out. For each month: pages, total clicks and revenue to date, and clicks within this quarter.
Time window
From each page's first week to the end of the quarter.
Compared with
No comparison is shown for this number.
Good to know
Grouping is by first appearance in search, so it can include a few new pages that you published yourself.

Brand share of clicks

The part of your Google clicks that came from people searching your brand name.

How we calculate it
Clicks on searches containing your brand terms ÷ all organic clicks.
Time window
The quarter.
Compared with
Against the previous quarter.
Where the data comes from
updated daily
Good to know
A falling brand share with rising total clicks is good news: more people are finding you without already knowing you. The brand split can be an estimate (see non-brand clicks).

Average tracked position

Your average Google position across the keywords we track, next to each competitor's.

How we calculate it
Simple average of the latest checked position over non-brand tracked keywords where the site ranks in the top 100. “Outranks us” counts the keywords where the competitor is above you.
Time window
The last rank check of the month.
Compared with
Against the last rank check of the previous month.
Where the data comes from
checked daily
Good to know
Different from the Search Console average position elsewhere: that one covers every search you appear for, this one only the tracked list. Keywords where a site does not rank are left out of its average, which flatters sites that rank for few keywords.

Questions about a number?

Ask your account manager, or use “Ask your SEO” in your portal. We will walk you through the calculation with your own data.

This page describes how the platform calculates numbers today. When a calculation changes, this page changes with it.