AI Marketing

AI that earns its place in your stack

Skip the hype. We deploy AI where it measurably lifts return: better signals for ad platforms, more creative variations to test, faster insight from your own data, and a brand that shows up when buyers ask AI assistants for recommendations.

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Where return leaks

What we fix first

01

Tools without a business case

Teams buy AI tools, run a few experiments and never connect them to pipeline. Every use case we deploy has a metric and a kill switch.

02

Invisible in AI answers

Buyers increasingly ask ChatGPT, Gemini and AI Overviews for shortlists. If your brand isn’t cited, you’re missing the first conversation.

03

Data that never becomes a decision

Dashboards pile up while the important pattern goes unnoticed. Automated analysis surfaces what changed and what to do about it.

What’s included

AI Marketing, done properly

AI-search visibility (GEO/AEO)

Audits of how answer engines describe your brand, plus content and entity work to earn accurate citations.

Predictive audiences & value signals

Lead and customer scoring fed back to ad platforms so bidding chases your best customers.

Creative testing at scale

AI-assisted ad and landing-page variations, human-reviewed for brand and accuracy, tested in structured experiments.

Automated reporting & alerts

Anomaly detection and plain-English weekly summaries across channels, so problems surface in hours, not weeks.

Workflow automation

Lead routing, enrichment and follow-up sequences that cut response times and manual admin.

Governance & guardrails

Clear policies on data privacy, brand voice and human review, so AI scales quality, not risk.

How we measure it

The numbers on your report

We agree on targets during onboarding and report against them every month, in plain English, tied to your CRM or store data wherever possible.

  • Hours saved per month
  • Lift in conversion rate from tested variants
  • Share of AI-answer citations
  • Lead response time

Platforms we manage every day

  • Google Ads
  • Microsoft Advertising
  • Meta Ads
  • LinkedIn Ads
  • Google Analytics 4
  • Google Search Console
  • Google Business Profile
  • Merchant Center
FAQ

AI Marketing questions

Do we need a lot of data to benefit from AI marketing?

Not necessarily. Some use cases, like creative testing and reporting automation, work for most businesses. Predictive scoring needs enough historical conversions; we will tell you during the audit which use cases fit your data.

Is our customer data safe?

We follow least-privilege access, avoid sending personal data to third-party models unless you approve it under a proper data processing agreement, and document every tool in use.

What is AI-search optimisation?

It is the practice of making your brand easy for AI assistants and AI Overviews to find, understand and cite: clear entity information, authoritative content and consistent mentions across trusted sources.

Pair it with

PPC Management

Paid search and paid social run against profit targets: tighter structure, cleaner data and a bid strategy that knows what a customer is worth.

SEO

Technical foundations, search-intent content and earned authority, prioritised by which rankings will actually move revenue.

Get a free AI Marketing Yield Audit

Our free Yield Audit shows where your ad spend leaks, which rankings are worth winning and the three moves we’d make first. No obligation, no hard sell.

Get my free Yield Audit Talk to a strategist →

Or call (866) 360-RANK ((866) 360-7265), Mon–Fri, 9am–6pm Eastern.