We’ve made the search location used for each keyword visible and explicit in the product.

Previously, if no location was selected, Keyword.com would automatically apply a country-level location in the background based on the Google domain being tracked (for example, google.com → United States, google.co.uk → United Kingdom). This was done to keep rankings consistent and avoid fluctuations caused by changing proxy locations.

The underlying tracking logic has not changed. The only difference is that:

The applied location is now shown in the keywords table

A location is required during keyword creation instead of being silently applied

This change improves transparency and aligns with how Google serves results today, where country TLDs are increasingly deprecated and location is the primary way to ensure stable, accurate rankings.

You can change the location at any time to track a different country. Locations are country-level and not city-specific.

We’ve expanded the with deeper visibility and clearer opportunity signals:

To access the gap analysis, go to the Competitor Tab and then click on any of the brand you want to analyse.

You can now add tags to your AI Visibility search terms, making it easy to group, organize, and report on prompts by brand, product lines, use-cases, campaigns, or topics.

Tags give you more structure and control, especially as your list of prompts grows. You can quickly filter by theme, run cleaner audits, segment performance, and keep your setup aligned with how your teams actually think about visibility.

What you can do now:

• Tag prompts by brand, product, campaign, audience, or anything custom

• Filter metrics and reports by tag

• Keep your workspace organized as you scale tracking

• Build clearer insights for different internal teams or clients

This is a small addition that unlocks a lot more clarity as AI tracking becomes more strategic and complex.

We’ve updated how movement is displayed when a keyword is Out of Tracked Range (OTR) according to our Hybrid Tracking Model.

Previously, movement could look inconsistent when a keyword moved in or out of the tracked positions. With the new logic, movement indicators now behave predictably and match how Hybrid tracking works:

This improves clarity and avoids misleading movement values when keywords fall outside the Top positions collected under the Hybrid model.

Learn more:

We’ve improved the Keyword Ranking Table!

When you turn on the Tracking URL column, you’ll now see the tracking method displayed, just like in the Ranking URL column. This makes it easier to identify how each keyword is being tracked at a glance.

We’ve made bulk importing even more flexible! You can now:

📖 Learn more in our CSV Import Help Guide

We’re excited to announce the launch of AI Visibility, a brand-new way to see how your brand appears across AI search engines.

Track your visibility in Google AI Overviews, ChatGPT, Perplexity, and more. See:

With AI Visibility, you’ll know exactly how AI search engines are representing your brand, and where you have room to grow.

You can start adding AI prompts today from your dashboard and watch your first results roll in within minutes.

We’ve added support for header-based authentication to improve the security of API access.

• You can now authorize your API requests by including your API key in the request

⚠️ :

While both query string (?apikey=...) and header-based authentication methods currently work, we recommend switching to header authentication for enhanced security and future compatibility.

• Update your integration to use header-based authentication.

• Refer to our API docs for implementation examples.

Let us know if you have any questions or need help making the switch!

We’ve upgraded our keyword research capabilities with the module, making it easier to discover and track valuable keywords. Now, you can find new keyword opportunities using:

Learn more about Keyword Intelligence here.

We’ve updated how data is displayed in SERP History and Historical Charts to give you` more control over maintaining a continuous rank history. Previously, data was automatically filled in, which did not always reflect when it was actually collected. This change ensures that users can choose whether or not to fill in missing data points.

There is a new setting called (previously 'Fill in rank drops in historical charts'). You can enable this to fill gaps in the historical line chart and SERP history when a keyword drops in rank or can’t be found during automatic updates. The latest available rank data will be used to maintain a continuous flow.