Blog
-
A Missing Result Is Not a Lost Ranking
When a tracker returns nothing for a keyword, that can mean unranked, unfetched, or unparsed. Three different problems that look identical in the chart.
-
Cliff, Slide, or Step: Reading the Shape of a Drop
The same 15-position loss has three different shapes in your history, and each one rules out different causes. Read the shape before you read the size.
-
Why Do You Rank for Queries You Never Targeted?
Because search engines match meaning, not strings — your page is being retrieved for questions it answers. That list is your best keyword research.
-
Rank Movement and Your Deploy Log
Most ranking questions become answerable when you can see what shipped and when. Annotating your rank history with releases costs almost nothing.
-
Should You Track Your Own Brand Query?
Yes, but not for the position — you'll be first. Track it as a canary for indexing problems and to watch what else occupies the page above you.
-
Why Your Tracker Supports Some Countries and Not Others
A tracker's country list comes from its supplier's exit points. Off-list countries get approximated with parameters, and still return a clean number.
-
How Does a Rank Tracker Choose Its Data Provider?
Coverage, freshness, depth, and cost trade off against each other, and no provider wins on all four. A tracker's data choice is a bet on which matters most.
-
What Happens When Your Tracker's Data Vendor Shuts Down an API?
A rank tracker built on a third-party search API inherits that vendor's product decisions. When Microsoft retired standalone Bing Search APIs, some did.
-
Why Did Rank-Tracker Pricing Change in 2025?
Google dropped the num=100 URL parameter in 2025, and SERP-data vendors' costs shifted with it. Some rank-tracker pricing moved as a direct result.
-
Why Do Local Rank Checks Cost More Per Query Than National Ones?
A national check is one fetch per keyword. A local check is one fetch per keyword per location — the multiplication is where the cost comes from.
-
Why Do Some Rank Trackers Only Update Weekly?
Daily checks cost more per keyword than weekly ones because each check is a paid, individually-fetched search result. Frequency is a pricing tier, not a bug.
-
Why Does Tracking AI Overviews Cost More Than Tracking Organic Results?
Checking whether a generated summary appeared and what it cited takes more from a retrieval pipeline than reading ten blue links. The cost is structural.
-
A Cached Result Page Is Not a Fresh Check
Retrieval vendors bill only uncached requests, so caching sits somewhere in every tracker's supply chain. Here's what a cache hit looks like in your data.
-
How Long Does One Rank Check Actually Take?
The fetch itself is sub-second. Everything else is queue, which is why a full refresh takes hours and the timestamp on a row isn't when you clicked.
-
A Flat Line in Rank History Might Be a Gap
Trackers rarely draw "we didn't look". A failed check gets carried forward, interpolated, or dumped to the bottom — and all three look like data.
-
What Recovery Looks Like After You Fix Something
Recovery is not the mirror image of the drop. It arrives staggered, partial, and later than the fix — and re-fixing on day three destroys the evidence.
-
Rank Tracking on Surfaces That Aren't Google
Before tracking a position on another search surface, answer four questions about what a row in that list is. Each surface answers them differently.
-
Ranking Changes Are Not an Experiment
One keyword before and after a change is not a test — there is no control. What you can randomise is pages, and the outcome measure isn't position.
-
Position Zero Is a Reporting Convention
A featured snippet is a block above the list, not a rank. The number your tracker gives it is a choice that tool made, and tools choose differently.
-
Why Two Rank Trackers Report Different Positions
Two trackers checking the same keyword on the same day will disagree. The reasons are all in how each one requests and parses the page, not in accuracy.
-
Average Position Is an Average of What, Exactly?
Average position blends every location, device and layout that produced an impression. The number is real; the distribution behind it is the useful part.
-
Position Is an Ordinal, Not a Quantity
Moving from 3 to 6 and from 43 to 46 are both 'three places' and nothing alike. Most bad ranking reporting comes from doing arithmetic on rank numbers.
-
Free Keyword Rank Checkers: What You're Actually Giving Up
Free rank checkers aren't fake — they're sampled differently. Here's what the free tier costs you in accuracy, history, and geography, and when it's fine.
-
How Often Should You Check Keyword Rankings?
Weekly for most sites, daily only when something specific is in flight. Checking more often adds noise, not information — here's the reasoning.
-
Rank Tracker vs. Search Console: Which Position Is Real?
They measure different things. A rank tracker samples a synthetic SERP; Search Console averages real impressions. Neither is wrong — when to use each.
-
Why Do Google Rankings Change Every Day?
Daily ranking movement is mostly personalisation, geography, and SERP layout — not algorithm updates. Here's how to tell real drops from noise.
-
What Position One Means on a Crowded Result Page
Organic position one can sit below a thousand pixels of other blocks. Rank position and screen position stopped being the same number years ago.
-
Tracking AI Overviews and Where Your Citation Sits
AI summaries appear inconsistently for the same query, so a single check tells you almost nothing. Track presence as a rate over time, not a yes or no.
-
Local Rank Tracking: A City Is Not a Location
Setting your tracker to a city name samples one point in it. For local queries, results change street by street, so one sample answers one question.
-
Mobile and Desktop Are Two Rank Sets
The same URL holds two positions for the same keyword. Tracking one device and reporting it as the position is the quietest error in rank reporting.
-
How to Diagnose a Ranking Drop Without Guessing
Work from the widest possible cause to the narrowest. Most drops are explained in the first two checks, and most wrong diagnoses skip straight to the last.
-
Sitewide Drops Versus Page-Level Drops
The two have almost no causes in common, and telling them apart takes one query of your own data. Here's how to separate them and what each implies.
-
Choosing Which Keywords to Track
A tracked set is a sampling design, not a wish list. Most dashboards are full of terms that can't move and terms nobody meant to add.
-
Visibility Scores and Share of Voice: What They Compute
Every tracker's visibility index is a weighted sum of your positions using an assumed click curve. Useful as a trend, meaningless compared between tools.
-
Rank Alerts That Don't Cry Wolf
An alert on 'moved three places' fires constantly and gets muted within a week. Alert on band crossings, breadth, and persistence instead.
-
You Can't Read a Position Without a Baseline
A position number alone carries no information about whether it's unusual. The baseline is the keyword's own observed range, and it takes weeks to earn.
-
Tracking Competitor Rankings and What It Can't Tell You
Competitor positions are the one part of rank data you can observe as well as they can. What you can't see is why they moved or what it earned them.
-
Incognito Is Not a Neutral Search
A private window drops your history and keeps your IP, so results stay localised. Checking your own rankings by hand is the least reliable method there is.
-
Keyword Cannibalisation Looks Like Flapping
When two of your pages compete for one query, the tracker shows a position that swings between two levels. The URL column is where you see the real story.
-
When a Keyword Falls Out of the Top 100
Trackers record 'not found' in different ways, and each way breaks a different calculation. Disappearance is also a different event from a large drop.
-
What SERP Volatility Trackers Actually Measure
A volatility index measures how much a fixed keyword sample reshuffled since yesterday. It's a useful 'not you' signal and nothing more specific than that.
-
Weekday and Seasonal Effects in Position Data
Comparing a Monday to a Saturday, or November to January, builds an offset that looks like a trend. Fix the weekday and use like-for-like periods.
-
Where a Rank Tracker's Data Comes From
Position data comes from automated result-page retrieval, which is against Google's terms and constrains every tracker. It explains most of their quirks.