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01 · ATTRACT

AI Digital Marketing

Build a digital growth operating system that connects market intelligence, strategy, content, campaigns, lead generation and measurement.

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01 · PROBLEM

What gets in the way today.

  1. Content is produced, but it does not bring enquiries.

    Posts and articles go out, yet nobody can say which ones led to a conversation with a buyer.

  2. Campaign reports stop at clicks.

    Spend is measured against impressions and traffic, not qualified opportunities or revenue.

  3. Search visibility depends on luck.

    Important pages age quietly. Nobody notices until enquiries drop.

  4. AI tools create more noise, not more demand.

    Teams use AI to publish faster, but without positioning, review or measurement the output sounds generic.

02 · OUTCOME

What changes.

A demand system that brings in more of the right buyers and shows which activity creates pipeline.

  • One source of truth for where qualified enquiries come from
  • Content and campaigns built from real customer questions
  • Every public claim approved by a named person
  • Clear hand-over of leads to the revenue system

Outcomes are measured against a baseline agreed at the start. We do not quote results before they are measured.

03 · SYSTEM ARCHITECTURE

How the system works.

Each step has a clear type: AI action, automation, data, human approval, KPI or exception. On a phone the diagram reads top to bottom.

ATTRACT system: from market signal to qualified lead
  • AI ACTION
  • AUTOMATION
  • DATA
  • HUMAN APPROVAL
  • KPI
  • EXCEPTION
ATTRACT system: from market signal to qualified leadMarket signals (search demand, competitor moves and customer questions) feed AI content and campaign drafts. A named owner approves every brand claim; unsupported claims are held as exceptions. Approved work is published automatically to website and search, social, and email and paid channels. Tracking carries the source into every enquiry, which is measured as a qualified lead and handed over to the CONVERT stage. Results loop back into the next signals.LEARNING LOOP · RESULTS SHAPE THE NEXT SIGNALSDATASearch demandDATACompetitor movesDATACustomer questionsAI ACTIONContent +campaign draftsHUMAN APPROVALBrand + claimapprovalEXCEPTIONUnsupportedclaim heldAUTOMATIONWebsite + searchAUTOMATIONSocialAUTOMATIONEmail + paidDATASource +attributionKPIQualifiedleadHANDS OVER TO 02 CONVERTATTRACT system: from market signal to qualified leadMarket signals (search demand, competitor moves and customer questions) feed AI content and campaign drafts. A named owner approves every brand claim; unsupported claims are held as exceptions. Approved work is published automatically to website and search, social, and email and paid channels. Tracking carries the source into every enquiry, which is measured as a qualified lead and handed over to the CONVERT stage. Results loop back into the next signals.DATASearchdemandDATACompetitormovesDATACustomerquestionsAI ACTIONContent + campaign draftsHUMAN APPROVALBrand + claim approvalEXCEPTIONClaim heldAUTOMATIONWebsite+ searchAUTOMATIONSocialAUTOMATIONEmail+ paidDATASource + attributionKPIQualified leadHANDS OVER TO 02 CONVERT
Signal → content → approval → channels → qualified lead. Example architecture; exact sources, channels and approval owners are designed with you.

ATTRACT system architecture, step by step

  1. DATAMarket intelligence
    Search demand, competitor positioning and customer questions
  2. AI ACTIONContent and campaign drafts
    Created from approved positioning
  3. HUMAN APPROVALBrand and claim approval
    Owner signs off before anything is public
  4. AUTOMATIONPublishing and distribution
    Website, search and social on a schedule
  5. DATATracking and attribution
    Source carried into every enquiry
  6. KPIQualified demand
    Enquiries and pipeline by channel
04 · CAPABILITIES

What we design.

A modular capability set configured around the business process, risk profile, data environment and measurable outcome.

  • 01

    Market Intelligence

    Research audiences, competitors, search demand and market signals.

  • 02

    Brand & Positioning

    Translate business strategy into differentiated market communication.

  • 03

    Content Systems

    Plan, create, review, repurpose and distribute content systematically.

  • 04

    SEO & Organic Growth

    Connect technical, content and topical authority into a measurable search program.

  • 05

    Campaign Automation

    Coordinate paid, social and lifecycle campaigns with controlled workflows.

  • 06

    Marketing Analytics

    Track demand, lead quality, conversion and channel contribution.

05 · HUMAN + AI ROLES

Clear roles. Visible approval points.

Business first. Technology second. Humans accountable. Here is exactly who does what.

AI

Research topics, summarise market signals, draft content and campaign variants, suggest page improvements and highlight what is working.

AUTOMATION

Schedule approved content, tag campaign links, move data into reporting, refresh dashboards and alert owners when performance changes.

PEOPLE APPROVE

Set positioning, approve every public claim and offer, choose budgets, and decide which segments and topics to pursue.

06 · KPIs

How success is measured.

These are the measures we agree with you. Targets are set only after a baseline is recorded, so no numbers are shown here.

Key performance indicators for AI Digital Marketing
KPIWHAT IT SHOWSHOW IT IS MEASURED
Qualified enquiriesEnquiries that match your fit criteria, by sourceCounted in the CRM using the agreed fit definition
Cost per qualified opportunitySpend divided by opportunities accepted by salesCampaign spend joined to CRM opportunities
Organic visibility of commercial pagesClicks and impressions on pages that sellSearch console data, compared with the baseline
Content-to-enquiry linkageShare of enquiries that touched a content pieceSource and page data carried into form submissions
Time from insight to published pieceHow quickly a real customer question becomes useful contentLogged in the content workflow
07 · USE CASES

Concrete scenarios.

Example workflows from our systems library. They describe typical situations, not past client results.

08 · METHOD

How we implement, and where the boundaries are.

The same six-step method on every engagement, starting with discovery.

  1. DISCOVERAudit goals, processes, data, pain points and technology.
  2. DESIGNMap workflow, agents, integrations, decision rights and KPIs.
  3. BUILDImplement automation, AI components and system connections.
  4. TESTHUMAN GATEValidate quality, security, exceptions and human approvals.
  5. DEPLOYLaunch in a controlled operating environment.
  6. OPTIMISEMeasure outcomes, learn and improve continuously.

What this includes

Strategy, system design, content and campaign workflows, tracking and reporting set-up, and governance for AI-assisted content.

What it does not include

Guaranteed rankings or results, purchased contact lists, mass unsolicited outreach, or publishing AI content without human review.

Build the system around the outcome.

Start with the business problem, map the workflow, then select the right AI and automation components.

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