Historical data in SEO is the accumulated record of a website's performance, metrics, and search-engine behaviors over months and years. The record is a timeline of keyword positions, organic traffic, backlink profiles, and technical site health, not a single snapshot of rankings today.
Semrush's knowledge base says its historical data lets you analyze competitors' marketing strategies over time, identify trends, and understand performance changes. The dates on that history decide whether the vendor already stored the month you need.
What Historical Keyword Data Covers
The timeline splits into four parts.
- Keyword ranking history: when a page first entered results, how fast it climbed, and when it dropped or leveled off.
- Backlink profile evolution: links gained, links broken, and anchor-text changes over the years. A backlink is a link from another site to yours. Anchor text is the clickable words in that link. The profile is the full set of those links.
- Traffic patterns and seasonality: visitor spikes, dips, and recurring annual trends. Seasonality here is that rise and fall tied to the time of year.
- Content and technical changes: notes on when pages were indexed, updated, or modified.
When you compare tools, check which of the four each one stores, and how far back its dates go. SERP volatility is the fluctuation index for the results page as a whole, alongside one site's ranking history.
How Far Back a Historical Database Goes
A historical database is a managed collection a vendor keeps over years and lets you query by date.
Semrush's knowledge base states the SEO figures as month-to-month averages, selected by date. Domain Overview (a domain's estimated search traffic, keywords, competitive position, and advertising keywords), Organic Rankings, Keyword Gap, and Keyword Overview go back to January 2012 for nine core databases: the United States, the United Kingdom, Canada, Australia, France, Italy, Germany, Spain, and Brazil. Fifteen further regional databases go back to December 2013: Belgium, Netherlands, Israel, Ireland, Denmark, Finland, Norway, Sweden, Switzerland, Poland, Turkey, Argentina, Mexico, Hong Kong (China), and Singapore. Eighty-nine newer regional databases, added in December 2016, start in December 2016.
Those monthly averages are a different window from the position reports on the same page. The Organic Rankings position-changes report holds daily data going back 28 days and monthly data going back two years. Position Tracking, repeated checks of keywords you chose, holds daily data for 60 days and then weekly data for up to 140 weeks (about three years) from the day the campaign starts.
Traffic and Market data is monthly from January 2017. Semrush's knowledge base ties that history to a subscription for its Traffic and Market Toolkit. For the SEO historical views, the same page says you need at least a Guru-level subscription or higher to the SEO Toolkit, or a Semrush One Pro+ subscription or higher.
DataForSEO describes its Historical Google Databases as time-series datasets that provide retrospective Google results snapshots and keyword metrics enriched with Google Ads data.
Common Crawl is a different kind of depth. Common Crawl's own site describes a free, open repository of web crawl data anyone can analyze: over 300 billion pages spanning 19 years, free and open since 2007, with 3 to 5 billion new pages added each month. Month averages and a date selector are what the managed databases above provide.
Short Range of Date Versus Strong History
One public thread asked whether OpenSEO or DataForSEO had replaced Ahrefs or Semrush, or whether that was hype. One reply drew the budget line in the buyer's words: "OpenSEO offers essential data with short range of date, while I haven't tried DataForSeO yet. Ahrefs and Semrush are quite strong with their historical data, but I couldn't afford them unless my client/my employer paid for them."
That exchange also asked about "pounding API calls on DataForSeo or paying those subs to SemRush or Ahrefs" and where the "use case division" sits. One reply said "Semrush or Ahrefs manage a historical database, while OpenSEO lets you get data without an expensive subscription". Asked for that division, the same person added: "For keyword research (volumes and historical data), you can create your own wrapper using the Google Ads API, which is free if you are an agency or enterprise with campaigns running". A wrapper is code you write that calls another API.
In another public thread, the question was how "an open source project can replace the datasets that large companies like Ahrefs and Semrush have built over time." One reply said they still "use Sistrix for its historical data and projects" and that "OpenSEO does not have this".
The split those replies keep making is short-range data you can pull now, and a historical database a suite already manages.
When to Keep Your Own Snapshots Versus Rent the Database
A snapshot is a dated copy you store yourself. The date, the query, and the location stay on the copy so a later comparison is the same check.
Keep your own snapshots when the question starts today and runs forward.
- You track your own site or a fixed keyword set, and you date every position you store.
- You need the results page as it stood on a given date.
- You want the recent months under your control. Position Tracking starts when the campaign starts, so the time before that campaign is absent from it.
qequals keeps a weekly copy of the suggestion page for each term on its curated catalog of search API terms. A suggestions call and a search call return live data.
Rent the managed database when the question reaches backward.
- You need a month-to-month average for a market you never tracked, inside the country windows above. A Domain Overview month for the United States in 2014 sits inside the January 2012 core database. A snapshot you begin today has no 2014 row.
- You need Traffic and Market context from January 2017. A snapshot you start now cannot hold that January.
- You need years of competitor movement. Semrush's knowledge base presents historical data as a way to study competitors' strategies over time. When the question turns to which months a term spikes every year, and when to publish for that spike, that decision is keyword seasonality.
If the answer exists only in the past, rent the database. If the answer will matter again next month, save the snapshot and put today's date on it.
