AI audit of your marketing: find where your budget leaks (2026)

Do you know exactly where your marketing budget goes? At many companies, part of it leaks away into ads for people who would never buy, into content nobody finds and into tools that are only half used. An AI audit exposes that. In this article, an AI audit means a review of your marketing with AI tools: data, content, ads, automation and the tools themselves. Since the AI Act, the word also means something else for an SME: taking a hard look at your own use of AI. We cover both. You get a six-step plan, the tools you need, improvements you can make this week and common mistakes. All facts were checked on 3 October 2026.

What is an AI audit?

An AI audit is a systematic review of your digital marketing in which you use AI tools and data analysis to find waste and untapped opportunities. The audit looks at three areas: your visibility in Google and in AI answers, the return on your advertising and how far you automate repetitive work. The result is a prioritised list of actions.

“AI audit” is not a legal term. In the marketing sense, AI is the instrument: language models, the analysis features in Google Analytics and heatmap tools reveal patterns in data you already have, and they do it faster.

How long does it take? If you do it yourself, count on about two weeks alongside your regular work; the step-by-step plan below is built on that. A professional audit at ClickForest typically takes 5 to 10 working days after receipt of access. A combined audit of several areas takes longer. ClickForest helps Flemish SMEs in Mechelen and Antwerp with manual audits of website, GEO, ads and SEO, separately or combined.

The three pillars of an effective AI audit

1. Content and visibility. Here you examine whether people and machines can find you:

• SEO performance and keywords your competitors rank for and you don’t
• Visibility in AI answers: ChatGPT, Perplexity, Claude and Google’s AI Overviews and AI Mode, together called GEO
• Which content formats hold visitors and which ones they click away from straight away
• Search intent per page and how your pages fit together

2. Marketing return. Here you follow the money:

• Actual ROAS per channel and per campaign
• Audience overlap between campaigns and budget going to the wrong people
• Where visitors drop out of your conversion path
• Whether your measurement is right: an audit built on faulty data produces faulty conclusions

3. Automation and use of AI. Here you look for time savings:

• Repetitive tasks a tool or agent can take over
• Workflows that cost time and cause errors
• AI tools that suit your sector and your existing software
• Opportunities to address customers more personally

Why does an AI audit pay off for an SME in Flanders?

Because large companies are far ahead. In 2025, 76.41% of large Belgian enterprises used at least one AI technology, against 28.82% of small ones, according to the FPS Economy. Companies that do use AI often do so without a plan. An audit shows where AI delivers a real return in your marketing and where you are better off waiting.

Across all Belgian enterprises with at least ten employees, the figure was 34.54% in 2025, up from 24.71% a year earlier (FPS Economy, 9 June 2026). The FPS names a lack of internal expertise as the main obstacle. The Flemish AI barometer 2025 uses its own questionnaire and measures higher figures: 58.8% of Flemish companies use at least one AI technology, and after administration, marketing and sales is the second application area at 45.5% (VLAIO, 1 April 2026). The two measurements are not comparable, because they survey a different population.

The most striking figure from that barometer: in 48.9% of the companies that use AI, the initiative comes from individual employees. In December 2025, federal minister Eléonore Simonet focused on the opportunity:

“Artificial intelligence today offers a major opportunity for small and medium-sized enterprises: it can become a real accelerator of competitiveness for them, allowing them to automate repetitive tasks and free up time for what really creates value.”

— Eléonore Simonet, Minister for the Self-Employed and SMEs (FPS Economy, 15 December 2025, translated from Dutch)

How do you run an AI audit of your marketing?

You work in six steps: collect data, analyse content, evaluate ads, review automation, select AI tools and sum everything up in a prioritised report. The days per step assume someone working on it alongside their regular job. Record your current figures before you start, otherwise you can prove nothing afterwards.

Step 1: Marketing data collection and preparation (days 1–2)

Start with access to the platforms that hold your marketing data:

• Google Analytics 4 and Search Console for your website figures
• Ad accounts: Google Ads, Meta and LinkedIn
• Your email platform, for example Klaviyo, Mailchimp or HubSpot
• Your CRM, so you can link ads and leads to actual sales
• Heatmaps and session recordings from Microsoft Clarity or Hotjar

For each channel, write down costs, conversions, cost per acquisition, conversion rate and revenue. If you run a Shopify store, first check whether your e-commerce tracking in GA4 is correct; our GA4 guide for Shopify walks you through it step by step.

Step 2: Content performance analysis (days 3–5)

Use AI tools to assess your content faster than you could by hand:

• ChatGPT or Claude: find missing topics and group keyword ideas
• Surfer SEO: compare pages with what ranks at the top of the search results
• Clearscope: check whether a page covers a topic completely
• AnswerThePublic: find the questions people ask around your topic

In practice:

• Put your twenty most visited landing pages next to their conversion figures
• Look for pages with a lot of traffic and few conversions: that is often where the quickest gains are
• Test whether AI search engines cite you for the questions your customers ask; how that works is explained in our article on GEO and SEO
• Check whether your most important pages have structured data, so search engines and AI systems read them correctly

Step 3: Evaluating advertising effectiveness (days 6–8)

In Google Ads, look for expensive keywords without conversions, missing negative keywords and ads that match their landing page poorly. In Meta, look for overlap between audiences, worn-out creatives and the influence of your attribution model.

Don’t steer blindly on ROAS while you do this. Whether a ROAS is good depends on your margin; a store with thin margins can make a loss on an attractive ROAS. We explain the difference with POAS in our article on POAS and ROAS.

Step 4: Marketing automation review (days 9–11)

Look at which flows are already running and which are missing. For email, that means open and click rates per segment, an abandoned cart flow, a welcome series and the quality of your segmentation. For leads, you check where prospects drop out, how you score them, whether your CRM and your marketing tools see the same data and how quickly someone gets a follow-up. Our article on email automation covers the flows a store needs.

Step 5: Selecting AI tools (days 12–14)

Choose per task: what work should the tool take over? A store thinks of product recommendations, a chatbot for customer questions and AI apps in Shopify. A B2B company thinks of preparing proposals, qualifying leads and LinkedIn follow-up. AI tools per task matches the right tool to each task. If you are looking at software that takes steps in your systems on its own, first read what an AI agent is and when it delivers more than an ordinary tool.

Step 6: Reporting and prioritisation (days 15–16)

Put your findings in one document that someone else can act on:

• A short summary with the most important actions at the top
• Which budget you shift, and where to
• A plan for thirty, sixty and ninety days
• The expected impact and effort per action
• The tools and access you need for it

Which tools do you use for an AI audit?

For a first audit, the tools you usually already have are enough: Google Analytics 4, Search Console, the reports of your ad platforms and a language model such as ChatGPT or Claude. Microsoft Clarity adds free heatmaps and session recordings. Only buy paid tools such as Semrush or Surfer SEO once the audit shows that you need them.

Basic tools to start with

• Google Analytics Intelligence: features that use advanced modelling to help you better understand and act on your Analytics data. Google is also testing the AI assistant Ask Advisor, for now only in properties with English as the selected language (Google).
• Microsoft Clarity: according to Microsoft “free, forever”, with heatmaps, session recordings and AI summaries. A recent addition is the AI visibility feature, which shows when AI systems cite your content (Microsoft Clarity). Clarity does not do A/B testing; for that you need a separate tool such as VWO, where on 3 October 2026 we only found a free 30-day trial (Wingify).
• Google Search Console: organic search performance, indexing and the queries you appear for.

Paid AI tools for in-depth marketing analysis:

• Semrush: technical SEO audit and comparison with competitors
• HubSpot Marketing Hub: marketing automation and tracking leads through to sales
• Klaviyo: email performance and customer segments; there is a free plan for up to 250 contacts (Shopify, 29 September 2025)
• Surfer SEO: content optimisation based on what ranks at the top of the search results
• Veesie: measures every week whether ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews mention your brand, for the pillar of visibility in AI answers; a separate brand that ClickForest built

Tool prices change quickly. Check them at the moment you buy.

Which quick wins can you implement right away?

The quickest gains almost always lie in your measurement and your budget allocation. Check that conversions come in correctly, shift budget from campaigns that cost money to campaigns that make a profit, and add questions and answers to your most important pages. These are rules of thumb from ClickForest’s practice; the right threshold depends on your margins.

Shifting budget

• Pause or rework campaigns that sit below your break-even ROAS. You calculate that threshold from your own margin; there is no general percentage.
• Gradually give more budget to the campaigns that demonstrably make a profit, and check after a few weeks whether the return holds up.
• Look at the hours and days on which your ads pay off, and refine your audiences.

Fixing measurement

• In GA4, use the e-commerce events (such as purchase and add_to_cart). “Enhanced Ecommerce” is a term from Universal Analytics, which has been fully discontinued since July 2024 (Google).
• Set up the Meta Conversions API, so Meta also receives conversions server-side.
• Give every external link in your campaigns and newsletters UTM parameters.

Improving content

• At the top of your most important service and product pages, put a short, direct answer to the visitor’s question, and add a block of frequently asked questions.
• Add structured data for your business, your products and your reviews; the JSON-LD guide shows how.
• Improve your local findability if your customers come from a particular region.

Completing email flows

• Start with an abandoned cart flow if you don’t have one yet.
• Address new and returning customers differently.
• Test subject lines against each other and send a follow-up series after a purchase.

Should an SME also have its own use of AI reviewed?

There is no legal obligation to audit. Anyone who uses ChatGPT, Copilot or a chatbot is, however, a deployer under the AI Act, and the FPS Economy recommends starting with an inventory of all your AI applications. That is the second meaning of an AI audit. It is separate from your marketing audit, but the benefit is the same: knowing what is running.

ClickForest does not carry out that second audit: we are a marketing agency and do not give legal advice. What follows is an overview of what the official sources say, with the links included. A more detailed explanation of chatbots and AI content is in our article on the EU AI Act for SMEs.

The FPS Economy’s five-step plan

On its page for companies that use AI, the FPS Economy describes these steps (FPS Economy):

1. Make an inventory of all your AI applications.
2. Determine the risk per application.
3. Determine your role: deployer or provider.
4. Link the right obligations to that role.
5. Set down internal agreements on data, monitoring and oversight.

As examples that usually fall under the AI Act, the FPS names generative AI tools such as ChatGPT or Copilot, chatbots that automatically answer customer questions and software that scores CVs.

What the AI Act asks of you today

AI literacy (Article 4). This obligation has applied since 2 February 2025, and national supervisory authorities have been able to enforce it since August 2026; in Belgium that authority is not yet official (see below). According to the European Commission, a company whose employees use ChatGPT to write ad copy also falls under it: they must know the specific risks, such as made-up answers. Since the Digital Omnibus of late July 2026, the law no longer prescribes a specific level. No certificate is needed; an internal record of training and other initiatives is enough (European Commission). If you also want your team to learn to work with ChatGPT, Claude and Gemini in practice, there is a hands-on AI training.

Transparency (Article 50). Since 2 August 2026, a chatbot must let people know they are talking to an AI system, unless that is already obvious. Anyone who publishes deepfakes labels them. AI-generated text on matters of public interest gets a label if it was published without human review or editorial control; text that has undergone human review or editorial control does not need one (European Commission). The FPS gives a sample notice: “You are chatting with an AI assistant. The answers are generated automatically.” Fines run up to 15 million euros or 3% of global annual turnover, with room for proportionality for SMEs.

High risk. Those rules have been postponed: they apply from 2 December 2027, and for AI in physical products from 2 August 2028 (European Commission). For a marketing department, one example is relevant: AI that places targeted job advertisements or filters applications counts as high risk.

Who supervises? The BIPT will become the Belgian AI supervisory authority, but that is not yet official: a law first has to pass through parliament, VRT NWS reported in early August 2026. The FPS Economy confirmed to the broadcaster:

“The interpretation that there is currently a legal vacuum is correct”.

— Etienne Mignolet, FPS Economy (VRT NWS, August 2026, translated from Dutch)

Mignolet added: “From 2 August, as things currently stand, these rights can only be enforced through the courts” (VRT NWS). So the rules already apply; a Belgian authority to supervise them does not exist yet.

Many companies do not yet know the AI Act itself. According to the Flemish AI barometer, 43.3% of the companies that use AI know the AI Act, and only 31.8% of that group have taken steps on AI literacy or safe use because of it.

What the GDPR asks

AI tools often process personal data, and then the GDPR simply applies. The Belgian Data Protection Authority (DPA) published a brochure on artificial intelligence systems and the GDPR (Dutch version of December 2024). Its core is the accountability principle: a documented legal basis for each processing activity, an up-to-date record of processing activities and, where needed, a data protection impact assessment (DPIA) (DPA). For an SME, that comes down to paperwork that usually already exists: adding your AI tools to the record, noting the legal basis per application and signing a data processing agreement with your AI supplier.

At European level, EDPB Opinion 28/2024 of 18 December 2024 remains the reference point. It states that an AI service such as a conversational agent can rely on legitimate interest, but only if the processing is strictly necessary and the balancing of rights is respected (EDPB). Chair Anu Talus summed up the intention:

“AI technologies may bring many opportunities and benefits to different industries and areas of life. We need to ensure these innovations are done ethically, safely, and in a way that benefits everyone. The EDPB wants to support responsible AI innovation by ensuring personal data are protected and in full respect of the General Data Protection Regulation (GDPR).”

— Anu Talus, Chair of the EDPB (EDPB press release, 18 December 2024)

Which mistakes should you avoid in an AI audit?

A common mistake is collecting without deciding: mountains of data and not a single action. After that come buying tools without a problem to solve, endless analysis, not recording a baseline and forgetting how your site works on a smartphone. So agree in advance which decisions the audit has to produce.

• Data without an action plan. Limit yourself to a handful of actions with the biggest impact, carry them out and only then measure further.
• Tools without a strategy. Buying an AI tool without knowing which problem it solves mostly gets you a subscription. Start from your business goals; the tool follows from them.
• Perfection over progress. Start with the improvements that take little effort and deliver a lot, and refine once you see results.
• No baseline. Record ROAS, conversion rate, cost per acquisition and customer lifetime value before you change anything, and measure again after thirty, sixty and ninety days.
• Forgetting mobile. An audit you only do on a desktop screen misses what smartphone users see. Include mobile optimisation in every step.

Should you run an AI audit yourself or have it done?

Do it yourself if you have time, know your data well and manage few channels. Have it done if your revenue depends on several channels at once, if you want an independent view or if nobody in-house has the time. For most SMEs, a mix works best: an external audit for the direction, your own team for the execution.

If you want a quick impression first, the free SEO + GEO scan gives an automated snapshot of your homepage with 20 binary checks. A ClickForest audit goes deeper: a manual, founder-led analysis in three steps, from an introductory call through manual analysis to a roadmap session. ClickForest helps Flemish SMEs in Mechelen and Antwerp with a website audit of technology, UX, conversion paths and tracking, an ads audit of Google, Meta and LinkedIn, an SEO audit and a GEO audit for your findability in ChatGPT, Gemini and Perplexity.

Vanhie shows what it can deliver. The company started with a UX audit of its existing online store; after the redesign based on those insights, online store sales rose by 130 percent (Vanhie case).

Is there support in Flanders for an AI project?

For a marketing audit itself, there is little support today. The SME growth subsidy (KMO-groeisubsidie), which supported strategic advice, has been discontinued: since 25 September 2025 you can no longer submit new applications. VLAIO does have instruments for companies that genuinely want to develop or invest in AI, and business advisers who point you to knowledge and financing.

What VLAIO lists on its page about AI subsidies (VLAIO, last modified 7 August 2026):

• Investment deduction: for an investment in, for example, a licence for AI software, a basic deduction of 10% for a sole proprietorship or small company, or 20% if the investment falls under the basic deduction for digital investments.
• Development projects: 25% to 50% of the accepted costs, with a minimum of €25,000 in support.

For a first exploration, you can turn to the VLAIO business advisers, who refer you to the Flemish European Digital Innovation Hubs and AI experts. On 1 April 2026, VLAIO also announced new AI guidance programmes, through which SMEs would get support to buy in external advice for AI adoption (VLAIO). On 3 October 2026 we had not yet found a launch for companies.

How do you get from audit to growth?

You turn the report into a six-month plan: first the technical basics and the measurement, then testing and refining, then scaling up. An audit is the start of that path. If nothing changes after the audit, all you have is an expensive document. So plan straight away who carries out which action and when you measure again.

• Months 1 and 2, the foundation: carry out technical improvements, get measurement and attribution right, start the first automations.
• Months 3 and 4, testing and refining: test your most important touchpoints, refine audiences and segments, build personalised flows.
• Months 5 and 6, scaling up: automate what recurs, with an AI agent or marketing automation, and expand to new channels and audiences.

An audit is one part of an integrated marketing approach. If you run a store on Shopify, the Shopify SEO checklist is a natural follow-up to the content step. The Bastiano case shows how a mix of Google Ads and local SEO works out. If you want to outsource your advertising after the audit, performance marketing is the logical next step.

Conclusion: start with your data, and don’t forget your own use of AI

An AI audit of your marketing shows where your budget leaks away and where AI really saves you time or brings in revenue. You do it in six steps, with tools you usually already have, and you end up with a short list of actions and a baseline to prove the effect.

Since the AI Act, there is a second question to ask: which AI does your team use, and does everyone know the risks? The FPS Economy and the DPA provide the official starting point for that.

ClickForest helps Flemish SMEs in Mechelen and Antwerp with audits of their website, ads, SEO and GEO, and with AI for growth: automation, agents, chatbots and training. Start this week with the first step from this article, or get in touch if you want us to look together at where your biggest leak is. More examples of what that delivers can be found in our projects.