What Does Marketing Miner's Keyword Research Feature Show?

Marketing Miner's keyword research feature takes a keyword you enter and immediately returns a set of related words, each with its own data — including how many people search for it each month and how that volume develops over time. The stated purpose is to help you find out what shoppers search for and what the trends are, so you can base content and business decisions on real search numbers rather than guesses. It sits inside a broader tool aimed at e-shop and business owners, marketers, SEO specialists and agencies who want to understand what people search for, what works for competitors, and how visible they are in both search and AI.

What you get from a single keyword

The workflow described on the site is deliberately simple: enter a keyword, and instantly see all related words and their data. For each of those related terms, the feature surfaces:

• Monthly search volume — how many people search for that word each month.
• Trend over time — how that search volume develops, so you can tell whether interest is rising, flat, or declining.

That combination is what turns a plain list of suggestions into something you can act on. A high-volume term that is shrinking is a different opportunity from a modest term that is climbing.

Why the trend data matters

Search volume alone tells you the size of a term today. The development data tells you its direction. The site frames the whole feature around finding "what shoppers search for and what the trends are," which suggests the trend signal is meant to be used alongside raw volume — for example, to spot seasonal shifts or emerging demand before it peaks.

How it fits into the wider tool

Keyword research is one of over 40 features in Marketing Miner. The same platform also covers:

The MCP connection is worth noting if you already work inside an AI assistant: once connected, your assistant can draw on Marketing Miner's search data, so keyword decisions can be made where you're already writing and planning. According to the site, it works in ChatGPT, Claude and Claude Code, is included in all paid plans, and requires no technical skills.

What it is useful for

Based on the described outputs, keyword research here supports:

• Content planning — choosing which related terms to build pages or sections around.
• Trend spotting — catching terms whose search volume is changing.
• Competitive context — understanding the search landscape that feeds into the separate AI visibility and competitor comparison features.

Practical starting point

If you want to see the output before committing, the site offers a free trial and a demo. Pricing details are published on its pricing page, so check there for current plan terms rather than assuming any feature tier — the MCP connection, for instance, is stated as included in paid plans specifically.