AI MARKETING CONSULTING
Know what AI will actually move in your marketing before you spend on it.
An AI marketing consultant gives you the plan, not another tool. WKND scores your readiness across data, stack, team, content, measurement and governance, then writes the 90-day roadmap that says what to build first, who owns it, and what it should return. If you want the same team to run it, we do that too.
6
dimensions scored in every readiness audit: data, stack, team, content, measurement, governance
90 days
the roadmap horizon: three builds, owners, budget bands, the metric each is judged on
250+
brands WKND has worked with across search, paid and creative (as published)
Trusted by brands that live and die by creative performance.
Four things, in order. Audit where your marketing operation is ready for AI and where it is not. Size where AI pays first: usually creative volume for paid, visibility inside AI answers, and automation of the repeatable work that eats your team's week. Write a sequenced roadmap with owners, tools, budget bands and the first three builds. Set the measurement baseline so every AI initiative is judged on CAC, MER and output, never on how many tools you bought.
What it is not: not a fractional CMO with an AI slide, not a software reseller, not an IT integration project. The work is marketing operating design.
AI marketing consultant: the plan and the readiness read
AI tool vendor: software you still have to operate
Marketing team that "uses AI": tactics without a system
If you already know you want execution, start with our AI marketing agency.
Most consultants sell an assessment and never show the rubric. Here is ours. Six dimensions, each scored 0 to 5 with evidence, delivered as a written report and a 45-minute readout.
first-party data quality, access, consent, and whether conversion data is clean enough to feed automated buying.
what your martech can automate today, what needs a connector, what should be replaced.
skills, capacity, and who will own each AI workflow after we leave.
production velocity, brand-voice inputs, and whether you can feed the volume paid social and AI search now demand.
attribution standard, CAC and MER baselines, AI-search visibility baseline, and how you will judge an AI initiative.
disclosure policy, brand safety, and the approval gates that keep AI output from reaching a customer unreviewed.
the scored report, the evidence behind each score, and the three gaps that matter most.
sequenced builds with owners, tools, budget bands and the metric each is judged on. Written so your team or any vendor can execute it.
what to buy, what to connect, what to stop paying for, and the two or three skills to hire or train.
the roadmap most often lands on creative volume, AI-search visibility, paid-media control or automation. Each is a WKND service: AI creative agency · AI SEO agency · AI PPC agency · AI automation agency.
Five steps from first call to a plan your team can execute. Two weeks to the readout; ninety days to the first three builds.
01
a 45-minute call and read access to your analytics, ad accounts, CRM and content stack. No decks, no discovery theater.
02
the six dimensions scored 0 to 5 with evidence pulled from your accounts, not from a questionnaire. Ten working days.
03
a 45-minute session walking the scorecard, the three gaps that matter most, and where AI will pay first.
04
the 90-day roadmap, the stack and team plan, and a budget band for each build. Written so your team or any vendor can run it.
05
run it in-house, hand it to your vendors, or hand it to WKND. The roadmap is the same either way.
What you get
AI tools (DIY)
Software
Done-for-you team
Execution
AI marketing consultant (WKND)
The plan, the readiness read, and execution if you want it
Who does the work
AI tools (DIY)
You
Done-for-you team
They do
AI marketing consultant (WKND)
You, your vendor, or WKND, your call after the roadmap
Time to value
AI tools (DIY)
Immediate, then stalls
Done-for-you team
Weeks
AI marketing consultant (WKND)
Audit in 2 weeks; first builds inside 90 days
Cost model
AI tools (DIY)
Subscriptions
Done-for-you team
Retainer
AI marketing consultant (WKND)
Fixed-fee audit, fixed-scope roadmap
Accountability
AI tools (DIY)
None
Done-for-you team
To delivery
AI marketing consultant (WKND)
To the roadmap's metrics
| AI tools (DIY) | Done-for-you team | AI marketing consultant (WKND) | |
|---|---|---|---|
| What you get | Software | Execution | The plan, the readiness read, and execution if you want it |
| Who does the work | You | They do | You, your vendor, or WKND, your call after the roadmap |
| Time to value | Immediate, then stalls | Weeks | Audit in 2 weeks; first builds inside 90 days |
| Cost model | Subscriptions | Retainer | Fixed-fee audit, fixed-scope roadmap |
| Accountability | None | To delivery | To the roadmap's metrics |
The honest answer is that most brands need the roadmap first and execution second. Buying execution without the plan is how "we use AI" turns into a tool bill.
Not everywhere at once. In the accounts we read, three places pay before the rest. Creative volume for paid social, because Advantage+ and Axon now own bidding and targeting and creative is the lever left. Visibility inside AI answers, because customers ask ChatGPT and Perplexity what to buy and most brands are absent. Automation of the repeatable work, reporting, lead routing, content operations, that eats the team's week. Chatbots, personalization engines and “AI strategy decks” come after those three, if at all.
A low data score predicts that automated buying will optimize toward the wrong conversion. A low content score predicts a creative pipeline that starves within a month. A low measurement score predicts that nobody will be able to say whether the AI initiative worked. The score is not a grade; it is the order of operations. The lowest dimension is the first build, because every other build depends on it.
Buying tools before defining the workflow, so the tool sits unused. Letting AI output reach customers with no approval gate, so the first off-brand asset costs more than the tool saved. Measuring adoption instead of outcomes, so the report says “we use AI” and the P&L says nothing changed. Each has a fix in the roadmap; none needs new software.
Before any build, the baseline: CAC and MER by channel, creative volume shipped per week, organic and AI-search visibility, hours spent on the repeatable work. Every roadmap item is then judged against one of those numbers at day 90. A consultant who cannot show you the baseline cannot show you the result.
Disclosure policy, brand-safety rules and approval gates sound like compliance. In practice they are what lets a team ship AI-produced work fast without a founder reviewing every asset. The roadmap writes them down once, assigns an owner, and the pipeline runs at speed from then on.
Three builds live, each judged on the metric named in the roadmap. Typical targets, set per client from the baseline: creative volume up to the cadence the account's spend requires; the first AI-search citations for the brand's category questions; a repeatable workflow returning hours to the team every week. The readout at day 90 uses the same scorecard as day 0, so progress is a number, not a feeling.
new creatives per week vs the spend rule
brand cited in ChatGPT, Perplexity, Google AI Mode for category prompts
repeatable work automated
the business number the builds serve
The internet is filling up with AI slop. We don't ship it.
Every asset is human-directed, briefed by strategists, refined by creatives, approved before it runs.
On-brand, always, your voice and guidelines are the guardrails the AI works inside.
Accountable to performance, if it doesn't earn its spend, it doesn't stay live.
Best fit
Not a fit
A strategist who reads paid and organic accounts every week, a creative director who runs the production pipeline, and an automation lead who builds the workflows. The audit is scored by people who will be measured on the roadmap if you ask them to run it.
The audit is a fixed fee. The roadmap engagement is a fixed scope. Execution, if you choose it, is quoted by the service. You will know the number before the first call ends.
Ask for the number.
CLIENT INPUT: audit price or range, and what is includedAsk for the number.
CLIENT INPUT: roadmap engagement model, and what is includedNumbers are real client results; ask us for the full readout.
Get the scored readiness audit and the 90-day roadmap. If you want the same team to run it afterward, say so on the call.
CLIENT INPUT: booking URL (Calendly) for the primary button01
the numbers before anything changes
02
six dimensions, evidence from your accounts
03
the three builds that pay first
04
in-house, vendor or WKND
05
day 45 read against the baseline
06
same scorecard, the next three builds
An AI marketing consultant assesses how ready your data, stack, team and content are for AI, then builds the plan: which AI moves your marketing numbers first, in what order, with which tools and owners. WKND delivers that as a scored readiness audit, a 90-day roadmap and a stack-and-team plan, and can run the plan if you want the same team executing.
Four things: audit your current marketing operation against six AI-readiness dimensions, size where AI will pay first (creative volume, AI-search visibility, automation of repeatable work), write a sequenced 90-day roadmap with owners and budget bands, and set the measurement baseline so every AI initiative is judged on CAC, MER and output, not on tool count.
It is worth it once you have real marketing spend and a small team that cannot afford a wrong bet. Below that, buy the audit only. WKND's engagements are fixed-scope for exactly this reason: you pay for the plan, not for a retainer you do not need yet.
Look for consultants who show their assessment rubric, name a price, and can point to a client who followed the roadmap. Most AI consulting is either fractional-CMO advice with an AI label or generic AI consulting with a marketing sub-page. WKND publishes the rubric on this page and will show you a redacted roadmap before you commit.
The advice has moved from channel tactics to operating design: where automation owns bidding and targeting, the consultant's job is creative volume, measurement standards, AI-search visibility and the workflows that produce content and reporting. A consultant who cannot read a Meta or Google account and an AI content pipeline in the same meeting is behind.
A scored review of six dimensions: first-party data quality and access, the martech stack and what it can automate, team skills and capacity, content velocity and brand-voice inputs, measurement standards, and governance (disclosure, brand safety, approval gates). Each scores 0–5 with evidence. The lowest scores set the first items on the roadmap.
WKND prices the readiness audit as a fixed fee and the roadmap engagement as a fixed scope, so you know the number before we start. ⚠ CLIENT INPUT: audit price or range; roadmap engagement model. Execution, if you choose it, is quoted separately by the service.
Yes, if you want us to. The roadmap is written so your team or any vendor can run it. If you prefer one accountable team, WKND's AI creative agency, AI SEO agency, AI PPC agency and AI automation agency pages describe the execution lines the roadmap most often lands on.
It is worth it when there is real work to redirect: a marketing budget already being spent, a team already producing, and a decision about where AI belongs. If none of that exists yet, a consultant is premature and the money is better spent on demand.
A consultant diagnoses and decides: what to automate, what to keep human, in what order, and what it should cost. An agency executes the plan week to week. WKND does both, and the roadmap is written so your own team or another vendor can run it.
Get the scored readiness audit and the 90-day roadmap. If you want the same team to run it afterward, say so on the call.
CLIENT INPUT: booking URL (Calendly) for the primary button