Digital Traction builds the AI agents and workflows behind a business’s paid search, market intelligence, content, measurement and reporting. The agents read, check and draft. A person approves every change.
Discuss a marketing systemAccount data, site activity, and the business’s own facts.
Fixed rules, with no AI in them, test the numbers before an agent reads them.
It reads the data and drafts a proposed change, with its evidence.
Approve, decline or defer. Nothing changes on its own.
Part 1 · The systems
Each family of systems answers one question a business keeps asking. The ad platforms now run more of the settings themselves. What they learn from is still yours: the conversions that count, the facts you can stand behind, and the limits the automation works inside.
Labels last checked September 25, 2026.
Where should the money go, and is it buying qualified leads?
What moved around the business, and what should change because of it?
Does the business say what is true, everywhere it shows up?
Is the ad platform learning from the right conversions, and are they still arriving?
What was decided, and what did it get the business?
Part 2 · How each one works
The drawings use grey examples, not client data.
4 systems
Experimental
The count gets checked first. The bid moves only when qualified leads return fast and often enough.
Monday An AI agent reads
Active
Every Monday an AI agent reads the Google Ads account and works through causes first.
Why each campaign misses searches
Experimental
Before a budget goes up, a check on whether money is what holds each campaign back.
The Foundation’s intent map
Paid and content work from one map
Experimental
Each group of searches in the Foundation’s intent map gets one decision.
2 systems
Visibility in AI answers is shortlist insurance, not a source of lead volume.
It can be three different companies
Experimental
Which rival a business faces in each channel, and true claims no one in its category makes.
Active
A weekly read of organic search and visits from AI assistants, with drops flagged Monday.
3 systems
Active
The named service: ranked content work, checked drafts, pages staged to publish.
Active
The brand kit, knowledge base and intent map the other work draws from.
Nothing is uploaded to an ad platform
Experimental
Static ads built from search intent, checked against ad policy before any image is made.
1 system
Last seven daysToday
Active
A daily check, before the reports run, on what bidding learns from. Each result is logged.
2 systems
Estimated cost of acquisition
Experimental
An estimate of acquisition cost at each funnel stage, from CRM records and ad spend.
| What changed | How to reverse it |
|---|---|
| Bid target moved to the qualified lead | Move it back to the form fill |
| Negative keyword added | Remove the keyword |
| Landing page changed | Point the ads back to the earlier page |
A later read can tell a deliberate change from a problem
Experimental
Each change Digital Traction makes to a live account, recorded with how to reverse it.
Advertising in AI runs across all five families, not as a sixth. Readiness for ads in AI answers is Experimental: a launch packet, built by hand, for a person to carry out. No campaign has run from one yet. Advertising in AI
Everything running today was built for businesses that sell through inquiries. Stores are in scope, and nothing built for them runs yet.
Part 3 · What it connects to
The tools change often. Digital Traction builds the part that holds the work together and plugs it into the accounts a business already runs. Where no connection exists, the work arrives as a packet your team can use.
Written and run by Digital Traction, in the order most systems on this page follow.
The checks are Digital Traction’s own code. A draft that fails one is not delivered, and no report goes out on stale data.
The accounts and documents your business already uses, left where they are.
Read through each platform’s own API. Any change goes through the gate.
Connected at onboarding, where the platform grants API access: Microsoft Advertising, LinkedIn Ads, Reddit Ads, Merchant Center and Business Profile. Ads in ChatGPT start as a launch packet a person carries out.
What each page and campaign is doing, and the tags that measure it.
Connected at onboarding: the BigQuery export, Microsoft Clarity, Bing Webmaster Tools, call tracking and server-side tagging.
Cost of acquisition at each funnel stage, from the CRM’s records.
Connected at onboarding: Salesforce, Shopify orders and Klaviyo.
Drafts only. A person on your side publishes.
Webflow and Sanity are connected today, and WordPress, HubSpot, Shopify, Contentful and Wix connect at onboarding. Squarespace and any other CMS get a publish-ready packet. This site’s own Research is drafted into Sanity, and a person publishes it.
Drafts, trackers and reports, where your team already works.
Notion connects at onboarding.
The tools Digital Traction uses and keeps up with. The ones it uses run on its own accounts, so your team does not need a seat on any of them, and each is replaced when something better holds up.
Tools Digital Traction keeps up with for tracking AI answers over a larger sample.
Peec does the same job.
Checked September 25, 2026. Digital Traction keeps up with these tools and brings in what earns a place in the work. Names and marks belong to their owners and are shown only to identify each tool.
Part 4 · Ways to start
A lean marketing team can commission a system without handing over all its channels. The scope names the job, the inputs, who reviews the output, who acts on it and what happens when something breaks.
Discuss a marketing systemSystems can also support work Digital Traction runs, such as paid search. When a system informs campaign decisions, the engagement makes clear who reviews it and who makes the changes. The rules for access and approvals are in How Digital Traction works with your accounts.