B2B keyword research that ends in a strategy, not a spreadsheet.

B2B keyword research finds the searches your buyers make on Google, how often they make them and who ranks for them today. Mati adds the next step: it groups keywords by buying problem and ranks each group, so you know what to write first.

List the searches your buyers make, check each one’s volume and who ranks today, group them by intent, then pick the groups you can win. Mati runs every step: it pulls the keywords you and your competitors rank for, with real volumes, clusters them by buying problem and ranks the clusters.

Google Search Console is the best free start: it shows the searches your site already appears for, with clicks and positions. Google Keyword Planner, free with a Google Ads account, adds volume ranges for new ideas. Mati reads your Search Console queries and adds your competitors’ keywords with real volumes; it is sized on a call, not free.

A keyword cluster is a group of searches that share one intent, so a single page can answer all of them. Mati groups clusters by the buying problem behind the search.

SEO competitor analysis finds which sites rank for the searches you want, which keywords they win, and where they leave a gap you can take. Mati looks at the keywords each competitor ranks for and marks the gap keywords: the ones they rank for and you don’t. Each competitor has its own page showing them.

Each opportunity is ranked on search volume, the number of gap keywords in it, how well your site already covers it, and an overall priority score.

Yes. The market view splits by business line, so each offer you sell gets its own keywords and clusters.

Customer segmentation is splitting your market into groups that share a need or trait, so each group gets the message that fits it. Mati segments two ways: searches grouped by the buying problem behind them, split by market and business line, and companies scored against your ideal customer profile. It is segmentation by what people look for and how well a company fits, not by demographics.

A target market is the group of companies or people you aim to sell to, defined by who they are and the problem they need solved. Mati maps yours through search: the keywords your market uses, grouped by buying problem and split by market and business line.

An ICP, or ideal customer profile, describes the company that buys from you and stays: its industry, size, the roles that buy, their pains and what triggers a purchase. During onboarding Mati drafts yours from your site, including who to rule out, and you confirm it before anything is planned. It then scores every visiting company and every outreach list.

A buyer persona is a profile of the person who buys: their role, goals, pains and what makes them act. In Mati your ICP holds it, with the role titles that buy, their pains and their buying triggers, and every article and post is written for that person.

AI speeds up market research by gathering and grouping large amounts of data, such as searches, competitors’ pages and AI answers, so people can decide sooner. Mati uses it to cluster your market’s keywords by buying problem, read your competitors’ rankings and track the questions buyers ask AI assistants. You decide what to act on.

Mati is not a social media keyword tool: its research covers Google searches and the questions buyers ask AI assistants, and that research feeds the LinkedIn posts it writes. If your social content is LinkedIn for a B2B audience, that is the useful overlap, because the topics people search for become posts. Mati does not research other social networks.