AI for VPs of Marketing: Where to Start
Where a VP of marketing starts with AI: the cross-team audit, the three decisions only this seat can make, and how to feed the CMO a board-ready answer.
Field notes
Long-form, field-tested writing on using AI in marketing. No hot takes, just workflows that survived contact with a real team and a real budget.
Where a VP of marketing starts with AI: the cross-team audit, the three decisions only this seat can make, and how to feed the CMO a board-ready answer.
Why Google keeping third-party cookies changes nothing, the zero-party and first-party layers worth building, and how to activate data you actually own.
Twelve free AI marketing tools with the catch stated for each: real quotas, what the vendor pricing page says today, and where free quietly ends.
A full holdout walkthrough for AI tools: write the claim, pick the metric and split, size the test, run it clean, and read the result honestly.
Your second prompt matters more than your first. How I run refinement loops in ChatGPT: react to specifics, pin what works, and know when to restart.
Where AI actually helps an event marketer - promotion, matchmaking, the post-event content goldmine - and why the room itself stays stubbornly human.
A marketing-sized AI governance framework - risk tiers, tool approval, escalation and records - built from NIST, ISO 42001 and the EU AI Act without the binder.
Four mechanisms that inflate AI marketing ROI claims - commissioned studies, self-graded attribution, perception gaps, survivorship - and how to verify.
Seven ChatGPT prompts for YouTube scripts built around the retention metrics YouTube actually reports - hooks, payoff structure, and the post-mortem.
Google and LinkedIn retired lookalikes, Meta demoted them to suggestions. What still works: the seed list. A practical seed strategy for the AI era.
How I use AI to write alt text for hundreds of images without producing spam - the quality bar, the batch workflow, and the checks that keep it honest.
Who the CCPA covers, why your adtech stack counts as selling data, the GPC signal you must honor, and what the Sephora, DoorDash and Honda fines teach.
Meta's AI now retouches, animates, rewrites and extends your ads by default. Every enhancement explained, which to allow, and how to switch the rest off.
What significance actually means, the sample size math in plain arithmetic, the three ways tests lie, and what to do when your traffic is small.
The title survives. The org chart under it doesn't. What Gartner's CMO surveys actually show, which parts of the job AI absorbs, and what stays human.
What the ranking studies say about AI drafts and human edits, the five-pass edit that closes the gap, and why AI editing AI performs worst of all.
Where AI genuinely helps PR - monitoring, research, first drafts - and the pitch paradox: journalists use AI daily and still reject AI-written pitches.
The four-step workflow that turns a strategy into a quarter of scheduled topics with ChatGPT - and the two calendar decisions I never hand the model.
Dirty CRM and analytics data is why AI marketing outputs go wrong. The five-part audit and the cleaning order I use, none of it needing a data team.
Five checks that surface where an ad account leaks money - search terms, junk placements, self-competition, tracking and zombie settings.
The freelance marketing market is splitting - execution rates falling, AI-fluent work paying more. My playbook for landing on the right side of it.
How I automate marketing reports with AI - the data layer, the narrative pass, the anomaly check - with the one rule that keeps every number real.
The diagnostic order for a smart bidding slump: measurement breaks first, learning resets second, starved conversion volume third - and targets last.
Six ChatGPT prompts that turn a customer interview into a case study - outline, results framing, pull quotes - without an invented metric in it.
The GDPR rules that bind marketing work - lawful basis, the absolute right to object, profiling limits, AI tools - read from the text, with the real fines.
Where AI fits the brand manager's job - voice enforcement at scale, first-pass reviews, monitoring what AI says about you - and what I would never automate.
How I choose KPIs for AI marketing work: pair every efficiency metric with an outcome metric, cap the list at seven, and retire anything nobody acts on.
How I run a technical SEO audit with ChatGPT - robots.txt, canonicals, titles, schema and Core Web Vitals - without a crawler license or a developer.
The signals that catch ad fatigue before ROAS confirms it, what Meta's own exposure data shows, and a refresh cadence that is a system instead of a panic.
The custom GPT I would build for email work: the instructions block, the knowledge files, the guardrails, and the test that proves it earns its keep.
Ad delivery can discriminate even when your targeting is neutral. The research and the Meta settlement that prove it, and the audit a marketer can run.
Buyers rank their favorite before you ever hear from them. Where AI actually helps demand gen - account research, the 95%, outbound - and where it lies.
A five-step repurposing workflow that turns one blog post into a week of social posts, an email and a video script - with the review gate that keeps it good.
Set up GA4 for the AI era in one pass: the new AI Assistant channel, predictive metrics, anomaly alerts - and the thresholds that decide what you get.
Every Performance Max asset spec in one place - headlines, images, video - plus what Ad Strength actually rewards and when to ignore its advice.
Where AI fits the marketing ops seat - campaign QA, CRM hygiene, reporting, stack governance - and why ops ends up owning everyone else's AI too.
AI spend now hides in subscriptions, review hours and blurred channel lines. A revised CAC formula that counts it, with allocation rules and benchmarks.
What Google's rater guidelines actually say about AI content, the ranking data on who wins position 1, and how I keep experience visible in AI-assisted posts.
Five prompts that turn a messy kickoff meeting into a campaign brief and plan - with an extraction step, a gap check, and one human gate that saves it.
A diagnostic order for an Advantage+ campaign with bad numbers: fair trial, wrong optimization target, flattered reporting, starved creative, wrong tool.
Where AI fits in the PMM job - competitive intel, win/loss, enablement content, launch ops - and why positioning is the one task I would not hand over.
Rework, tool sprawl, abandoned pilots and spend nobody owns: the program-level AI costs that never land on a workflow spreadsheet, with the data on each.
Brand safety used to mean where your ads ran. With generative AI the risk comes from inside: the incidents so far, what audiences think, and my guardrails.
A diagnostic order for an underperforming Performance Max campaign: learning period, conversion volume, self-graded numbers, channel mix and creative.
One mega-prompt produces mush. A chain - idea, outline, draft, polish - produces content you can steer, with a review gate at every step. My workflow.
Growth marketing is an experiment loop, and AI accelerates every stage except judgment. Where it fits, the weekly rhythm, and the velocity trap.
Stop re-briefing the AI in every chat. The four Claude Projects I'd build for a marketing team, what goes in each, and where the format hits its limits.
A full method for measuring AI-generated content: the true cost line, four performance levels, and the cohort comparison that makes the number honest.
Every choice in a Performance Max build, in order: bidding, asset groups, audience signals, and how to read Google's 27% claim before you trust it.
Two thirds of Google searches now end without a click. The strategy that fits that world: win citations, restructure for extraction, own the follow-up.
Most solo businesses get an hour a day for marketing. How to spend it when AI does the drafting: the one-hour day, what to automate first, the traps.
A court has already ruled your chatbot's inventions are your problem. Why models make things up, and the three-layer guardrail system that catches it.
ChatGPT writes valid JSON-LD in seconds. The workflow that keeps it honest: supported types only, real page content, and validation before shipping.
Pasting 3-5 examples into a prompt beats paragraphs of instructions for voice and format. How to pick the examples, and the biases to watch for.
Meta's most automated campaign type decides audience, placements and budget itself. What to set before launch, and how to read Meta's 20% claim.
What the law actually requires you to disclose, what the platforms require, what the trust research says it costs - and the disclosure policy I run.
The platforms automated the levers PPC managers were hired to pull. What the job is now: inputs, audits and the AI work beyond auto-bidding.
Google deleted the middle-ground models and left two: last click and its AI model. What data-driven attribution actually does, and when each one is honest.
AI answers quote passages, not pages. The construction rules that make a section quotable, what Google says about markup, and a passage audit to run.
Google now builds every search ad by mixing headlines you supply. How to write a set that works in any combination, and when to overrule the machine.
What realistic AI marketing performance looks like in the first three months, why industry benchmarks mislead, and the internal baselines that beat them.
Fake urgency, confirmshaming, hard-to-cancel flows - the manipulation tactics that now draw nine-figure fines, why AI ships them by default, my guardrails.
Google doesn't ban AI content. It bans scale without value. What the policy documents say, what the 2024 crackdown changed, and the line I won't cross.
Brand exclusions, negative keywords, placement exclusions and the settings I lock down before letting Performance Max spend a single euro of budget.
What belongs in a system prompt versus the task prompt, where to install it in ChatGPT, and the template that keeps output consistent for months.
Writing gigs fell ~30% after ChatGPT. What the research says survives, which tasks to hand the model, and how a working copywriter stays the signature.
Six prompts that turn ChatGPT into a claim-finder for your drafts - extraction, source audits, quote checks - plus the one step no prompt can do for you.
What US law actually forbids when AI touches your ads - fake reviews, unsubstantiated claims, deceptive AI hype - and what changed in 2025. A working read.
Target CPA, Target ROAS, Maximize conversions, Maximize conversion value - what each one optimizes, the conversion volume each needs, and how to choose.
When attribution cannot see what AI changed, prove it another way: workflow baselines, simple holdout tests, and reporting that admits what it knows.
Where AI belongs in an email program - copy, segmentation, send times, deliverability, reporting - and the parts of the job that stay yours.
The 30-minute GA4 setup that pulls ChatGPT, Perplexity and Copilot visits out of the referral haystack - and what those numbers can and cannot tell you.
Seven ChatGPT prompts built around a story, tip and CTA rhythm - so your newsletter reads like a person wrote it, on a schedule you can actually keep.
Seven ChatGPT prompts that turn a verified fact sheet into product descriptions - scaled across SKUs and channels without invented claims that drive returns.
How ChatGPT search picks its sources, the crawler settings that decide whether you can appear, and what its citation data says actually gets cited.
A working day with AI in the social media manager job - what to hand over, what to keep human, and how to use the time it gives back.
Seven ChatGPT prompts that turn reviews, pricing pages, ads and job posts into competitive intelligence - without letting the model invent your rival.
Seven ChatGPT prompts for landing pages - message match, value prop, objections, proof and CTA - each built to run on your real inputs, not invented ones.
Eight ChatGPT prompts that build an SEO content brief piece by piece - intent, gaps, thesis, links - and a QA prompt that tells you if the brief is too thin.
An open-source Claude skill claims to be a marketing department in one file. I ran its audit on my own site, kept the score, and checked every finding.
How Perplexity picks its sources, the crawler settings that silently disqualify you, and the content work that earns citations in its answers.
Google's generative AI report reached every site on August 31. How to read it, what it leaves out, and how to check the AI search it will never cover.
Bing's AI Performance report shows citations and grounding queries - data Google won't give you. How to read it and earn more Copilot citations.
ChatGPT ads reached 31 European markets in August 2026. Formats, targeting, measurement, what OpenAI promises about answer integrity, and who should test.
Seven ChatGPT prompts that build buyer personas from real customer evidence - interviews, reviews, tickets - instead of demographic fiction the model invents.
Article 50 took effect on August 2, 2026. Which of the five transparency duties actually apply to marketing teams, and the checklist I'd run this month.
A task-by-task guide to AI for SEO specialists - keyword research, briefs, technical checks, on-page at scale and reporting - with what the model gets wrong.
How to turn a brand voice guide into a system prompt ChatGPT can actually follow - extraction, rules, examples and a voice-check prompt you can reuse.
A step-by-step formula for AI marketing ROI that counts the costs vendors leave out, values time only when it is redeployed, and a template you can copy.
A working method for ChatGPT keyword research: what the model is good at, what it fabricates, six prompts, and how to validate every list against real data.
ChatGPT prompts for social media captions with the fold, the hook and platform rules built in - one prompt per platform, plus repurposing and testing prompts.
An executive playbook for AI in marketing: what the spend data says, where AI creates leverage first, what stays human, and a 90-day adoption framework.
A full-funnel guide to AI for content marketing - what to automate at each pipeline stage, an automate-vs-human decision matrix, and when not to use AI.
How marketing managers fold AI into a real working week - planning, briefing, reviewing, reporting - plus a team rollout that avoids quality collapse.
Platform-specific ChatGPT prompts for ad copy - Google RSA, Meta and LinkedIn - with official character limits and a compliance guardrail built in.
ChatGPT prompts for email subject lines with A/B variants and mobile truncation limits built into every template - organized by campaign type.
Ten copy-ready ChatGPT prompts for blog post outlines, intros and drafts - each with the reasoning behind it and how to adapt it to your brand.
AI answer engines cite sources differently than Google ranks pages. Here's what actually earns a citation, and the on-page changes that move the needle.
Most AI content pipelines fail at the brief, not the draft. A four-stage workflow that raises output without filling your site with forgettable pages.
When AI answers absorb the click, last-touch attribution quietly breaks. How to measure demand you can see the effects of but not the source of.