Straight answer: a solo consultant will charge you £750 to £3,500 in the UK (roughly $1,000 to $5,000 in the US) for a small business AI marketing audit, agencies charge £5,000 to £15,000, and a proper one should end with a prioritised list of where AI will save you money, not a slide deck telling you to “embrace AI.” Anything cheaper than £500 is usually a template with your logo on it. Anything over £20,000 is usually paying for a brand name, not more insight.
Next step on this topic: How to Reduce Marketing Tech Stack Costs Step by Step.
The real price range, not the marketing page version
I get asked this weekly now, usually by someone who has already had three sales calls with agencies quoting wildly different numbers and no idea why. So here is what the market looks like in 2026, based on what I charge, what I’ve seen colleagues charge, and what clients tell me they’ve been quoted elsewhere.
- Solo consultant, small business (1 to 20 staff): £750 to £3,500 UK, $1,000 to $5,000 US, delivered in 1 to 3 weeks.
- Boutique agency, mid-market (20 to 200 staff): £5,000 to £15,000 UK, $7,500 to $20,000 US, delivered in 3 to 6 weeks.
- Big consultancy or Big 4 style engagement, enterprise: £25,000 to £100,000+, delivered over 8 to 16 weeks, often bundled with a wider digital transformation project.
- DIY, using a checklist and your own time: free but it will take you 15 to 25 hours, and you will miss the things you don’t know to look for. That’s the actual trade-off, not “free vs paid.”
The gap between £750 and £15,000 usually comes down to depth, not quality. A £750 audit of a five-person coaching business should not look like a £15,000 audit of a 150-person retailer with three CRMs and a data warehouse. If someone quotes you £15,000 for a business with one website and a Mailchimp list, walk away.
What a proper AI marketing audit includes
Too many audits are just a marketing audit with the word “AI” bolted onto the cover page. If you want to know what should be in there, this is the list I work through with every client, and it’s very similar in spirit to what a proper marketing automation audit involves, because AI audits and automation audits overlap far more than most agencies admit.
If you are in the South West, the Bristol AI consulting page shows what that audit looks like locally.
- Tool stack review: what you’re already paying for (HubSpot, Klaviyo, Mailchimp, Semrush, Zapier, ChatGPT Enterprise seats, Jasper, whatever it is), what’s overlapping, and what’s sitting unused.
- Data readiness check: can your CRM, email platform and website analytics talk to each other, or is your customer data scattered across four systems that don’t sync. AI needs clean, joined-up data to be worth anything, and most businesses fail this test.
- Workflow mapping: which marketing tasks eat the most human hours right now (content drafting, reporting, ad copy, customer segmentation, email personalisation), timed and costed against staff wages.
- Content and copy audit: is your existing content written in a way AI tools can work with, or does someone need to rewrite your brand voice guide first.
- Competitor benchmarking: what your direct competitors are visibly doing with AI (chatbots, dynamic pricing, personalised email flows) and what’s realistic for your budget.
- Risk and compliance check: GDPR exposure if you’re feeding customer data into third-party AI tools, and whether your current tool contracts even allow that.
- Team skills gap: who on your team could run new AI tools tomorrow, and who needs training first, because tools without trained people are money down the drain.
- A prioritised 90-day roadmap: not fifty ideas, five, ranked by effort versus return, with rough costs against each.
If your audit is missing the data readiness check and the risk section, you haven’t had an AI marketing audit. You’ve had an AI tools brochure.
A real example: the furniture retailer who thought they needed a chatbot
Last spring I ran an audit for a family-run furniture retailer in Yorkshire, three stores plus an online shop, turnover around £2.8 million. The owner came to me convinced he needed an AI chatbot on the website because a competitor had one. That was the brief.
Two weeks into the audit, the chatbot turned out to be the least useful thing on the list. What we found: his team was spending roughly 14 hours a week manually building email segments in Mailchimp because nobody had ever connected it to their Shopify data. Fixing that connection and using AI-assisted segmentation instead cost about £400 in setup and saved those 14 hours immediately, worth roughly £9,000 a year in staff time at his blended hourly rate. The chatbot he originally wanted would have cost £1,800 a year in subscription fees and, based on his traffic numbers, would have handled maybe 40 conversations a month.
That’s the uncomfortable bit nobody selling audits likes to say out loud: the flashy AI thing you came in asking about is rarely the highest-return fix. A good audit sometimes tells you to spend less on AI, not more, and to fix a boring data plumbing problem first. If a consultant’s audit only ever recommends buying more tools, ask yourself who benefits from that recommendation.
The step-by-step process, so you know what you’re paying for
Here’s roughly how a well-run audit unfolds, whether you’re paying £750 or £15,000, the depth changes but the structure doesn’t:
- Step 1, discovery call (30 to 60 minutes): goals, budget, current pain points, access to accounts.
- Step 2, data and tool access (2 to 5 days): the consultant gets read-only access to your CRM, email platform, analytics and ad accounts.
- Step 3, stakeholder interviews (half a day to two days): short chats with whoever runs marketing day to day, not just the owner’s version of events.
- Step 4, analysis (3 to 10 days): the actual audit work, mapping time spent, data flows, gaps and opportunities.
- Step 5, benchmarking (1 to 3 days): comparing what you’re doing to two or three direct competitors, publicly visible activity only.
- Step 6, report and roadmap (2 to 5 days): a written document plus a prioritised action list, ranked by cost and expected return.
- Step 7, presentation (60 to 90 minutes): a live walkthrough, not a PDF dropped in your inbox with no explanation.
Total timeline for a small business audit: 2 to 3 weeks start to finish. If someone promises you a full audit in 48 hours, they’re running a template, not looking at your actual data.
Why the cheapest audit and the most expensive one sometimes say the same thing
Here’s the part that annoys people once they’ve spent the money: a £15,000 enterprise audit and a £900 solo consultant audit can land on nearly identical top recommendations for a small business, because the fundamentals of good marketing rarely change. Clean your data, stop duplicating tools, automate the repetitive tasks first, train your team before you buy more software. The £15,000 version usually adds more detailed competitor benchmarking, more polished slides, and a named brand on the cover. That has real value if you need to convince a board or investors. It has almost no extra value if you’re a 12-person business deciding what to fix next month.
This is worth knowing before you pay for anything, because it’s the same dynamic I see when businesses compare fractional CMO costs against hiring an audit specialist for a one-off project. Sometimes what you need isn’t a one-off audit at all, it’s ongoing strategic oversight, and a fractional CMO might solve the problem an audit only diagnoses. An audit tells you what’s wrong. Someone has to be around to fix it, and that’s a different budget line entirely.
When to hire someone versus do it yourself
If your marketing runs through one or two platforms, your team is under ten people, and you’ve got a free Saturday, you can do a rough version of this audit yourself using the checklist above. It won’t be as sharp because you can’t see your own blind spots, but it will surface the obvious problems.
Hire someone when any of these are true: you’ve got more than three marketing tools that might overlap, nobody on the team can explain how your customer data flows between systems, you’re about to spend a meaningful budget on new AI tools and want a second opinion first, or you’ve tried a few AI tools already and can’t tell if they’re working. If you’re weighing up whether outside help is worth it at all, I’ve written a full breakdown of what an AI consultant costs and how that compares to doing nothing and staying stuck.
Red flags to watch for before you pay for an audit
- They quote you a price before asking a single question about your business.
- The report is a generic PDF that never mentions your competitors by name.
- Every single recommendation involves buying a tool they happen to resell or get commission on.
- There’s no data readiness or GDPR section at all, particularly worrying for anyone handling UK or EU customer data.
- They can’t tell you, in one sentence, what they’ll deliver that a free ChatGPT prompt couldn’t.
A good audit should feel slightly uncomfortable, because it will point out things you’ve been avoiding, wasted spend, a messy CRM, a team member who needs retraining. If it only flatters you and sells you more software, you’ve paid for a brochure.
A ranked, measured plan is what I produce as an AI strategy consultant.
Frequently asked questions
Is an AI marketing audit worth it for a small business?
Yes, if your marketing spend is over roughly £2,000 a month or your team is spending more than five hours a week on repetitive tasks like reporting or email segmentation, because the audit typically costs less than one month of the waste it uncovers.
How long does an AI marketing audit take?
For a small business, 2 to 3 weeks from initial access to final report. For a mid-market or enterprise business with multiple systems and stakeholders, 6 to 12 weeks is realistic.
What’s the difference between an AI marketing audit and a general marketing audit?
A general marketing audit reviews strategy, messaging and channels. An AI marketing audit adds a specific layer on top: your data readiness, tool overlap, automation opportunities, and where AI can realistically replace or speed up manual work, with real numbers attached, not just recommendations to “use more AI.”
Should I do the audit myself before paying for one?
It’s worth doing a rough version yourself first using a simple checklist, mainly so you can spot an agency that’s giving you generic advice versus one that’s noticed something specific to your business. A consultant who repeats things you already found in your own quick review isn’t earning their fee.
