Intent-based keyword research
Searches are grouped by purchase intent; each term is matched to a single relevant product page on the site.

We started with our own marketing: our AI agents prepared keyword research, a campaign plan, ad copy drafts and negative keyword lists for Google Ads, and a small test design for Meta. A person always makes the budget and publishing decisions.
Job seekers, people looking for a login page and irrelevant searches eat into the budget. And when money is spent before measurement is in place, you cannot see which enquiries it turned into.
Searches are grouped by purchase intent; each term is matched to a single relevant product page on the site.
Lists are prepared that exclude job-seeker, login-page and irrelevant consumer searches from the outset.
Character limits for headlines and descriptions are counted, and copy is checked for prices, customer names, competitor brands and unverified claims.
For Google Ads, a campaign tree, match types, phases and stop rules are written; for Meta, a controlled test plan.
A checklist is prepared for conversion tracking, cookie consent and the CRM connection; no campaign goes live until the list is complete.
Each lead is linked to the campaign it came from; opportunities, won deals and cost per customer are tracked by campaign. Spend is entered manually.
AI agents research, write drafts and run checks. They do not log in to ad accounts or publish anything; the account, the budget and the publishing decision always stay with a person.
The starting point is the goal of qualified B2B enquiries and the product pages on the site. The agents work out which search intent each page answers.
Search suggestions, trends and competitors’ public pages are scanned. Volume and cost estimates are clearly flagged; each piece of research goes through a separate review.
A campaign and ad group tree is built from the chosen terms; ad copy drafts and negative keyword lists are written to fit this tree.
No campaign goes live until measurement and cookie consent have been tested. A person approves the budget, copy and publishing; incoming enquiries are recorded in the CRM with their source campaign.
We review your products, target customers, landing pages and existing ad accounts together, and clarify the goal to be measured.
Keyword research, a campaign plan, ad copy drafts, negative lists and a measurement plan are prepared specifically for you.
Who approves the budget, copy and publishing, and how each change is recorded, are put in writing; account ownership and access rights stay with you.
A weekly routine is set up: unwanted search terms are added to the negative list, enquiry quality is marked in the CRM, budget changes are proposed and every change is recorded.
No. AI researches, writes drafts, prepares lists and runs checks. Opening the ad account, entering payment details, setting the budget and launching are the job of an authorised person. The agents do not log in to ad accounts or publish anything.
We started with our own marketing. The strategy, keyword research, campaign plan, ad copy drafts, negative keyword lists and measurement plan are ready. Since we have only just started, we make no claims about results; this page describes the work we have done and how we work.
For Meta, we designed a small, controlled test: organic posts first, then ads to an audience that already knows the brand, then trying the messaging and form routes side by side. The decision to continue or stop the test will be made by comparing the cost per qualified enquiry with Google Ads.
Our own CRM has a campaign screen for this. Each lead is linked to the campaign it came from; the screen shows opportunities, won deals and cost per customer by campaign. Spend is entered manually; there is no automatic data import from Google Ads or Meta. In your setup, where tracking happens is decided at the start of the project.
Ad and analytics tags are planned so that they do not run until the visitor gives consent; in the cookie notice, the reject option is as visible as accept. Data collected through forms requires a privacy notice. Transfers abroad, retention periods and whether customer lists are uploaded to platforms are addressed at the start of the project, together with their legal basis.