SEO Competitor Analysis Tool

How This Tool Works

This SEO competitor analysis tool reads a ranking index rather than crawling Google live. One lookup returns the whole first screen: how many keywords the domain ranks for, how those rankings split across positions, the estimated monthly visits and what that traffic would cost in ads, plus the hundred keywords carrying the most of it.

Everything after that is a separate button, because everything after that is a separate paid lookup. Nothing loads until you ask for it, and the credit counter under the input tells you exactly where you stand. That is the opposite of how most free tools work, and it is why this one can stay free.

Filtering, sorting and searching the loaded keywords costs nothing at all. Those hundred rows are already in your browser, so narrowing them to positions 4 to 10 with commercial intent is instant and free.

Why a Competitor's Traffic Number Is Usually Wrong

Here is the first thing this tool does that the expensive ones do not: it tells you how much of that impressive traffic number is just the brand's own name.

A worked example from building this. Sorting a well-known German SEO blog by estimated traffic put a single word on top: pinterest. Not their brand, not their topic, a navigational search where somebody typed a platform name and Google happened to include an explainer article. That one keyword carried more estimated traffic than the next dozen combined.

So every report here splits it out. If a meaningful share of the estimated traffic comes from keywords containing the brand name, or from navigational searches, you get told before you read the number. One click removes both and shows you the traffic they actually earned by competing.

Keywords in AI Overviews, Not Just in the Blue Links

Google's AI Overviews cite sources, and being cited is not the same as ranking. You can sit at position eight and still be the paragraph the overview quotes. You can rank second and be absent from it entirely.

The ranking database exposes that as its own result type, so this tool can show which keywords a domain is cited for in an AI Overview. To put the scale in perspective: healthline.com is cited for over 1.5 million of them in the US index. Most competitor tools either ignore this layer or put it behind their top tier.

Worth being precise about what the number means. A citation is a brand mention and a chance the reader clicks through. It is not a visit, and treating it as one is how people end up disappointed by AI search reporting.

The Gap Is the Part You Act On

"What do they rank for" is the question people ask. "What do they rank for that I don't" is the question that produces work.

Put your own domain in the second field and the gap view compares the two: keywords where the competitor ranks and you are nowhere, sorted by search volume, with a difficulty score on every row. The difficulty is what turns a list into a plan. A keyword with 8,000 searches and a difficulty of 74 is a year of work. The same volume at 22 is next week.

How This Compares to Ahrefs and Semrush

They are better tools. They have their own crawlers, a decade of history, rank tracking, backlinks, alerts and projects. If competitor research is your daily job, pay them.

This is for the other case: you need an answer about one domain, right now, and you do not want to start a trial.

The row worth pausing on is the snapshot date. Every tool in this category serves a pre-computed index, and none of them tell you how old the entry is. This one prints the date of the ranking snapshot at the top of every report, because a number without a date is a number you cannot argue with.

When Not to Use It

• You need backlink data. This tool has none, on purpose. Nothing here would beat the tools built around a link index.
• You need to watch a position move week by week. That needs a tracker with history, not a snapshot.
• The domain is brand new or tiny. It will not be in the ranking index yet, and an empty report is the correct answer rather than a bug.
• You are researching a market the index covers thinly. Large English and European markets are dense; very small ones are not.

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