How do you integrate AI into your
marketing and e-commerce? Start here:
more efficient, faster, bigger ROI.
Your online marketing costs more every year and brings back less. AI is supposed to fix that, and so far it has mostly added noise. Each offer below fixes one place where marketing budgets and online shops actually lose customers.
Who this is for. You run marketing or an online shop, you spend real money on both, and you can feel AI should be making them cheaper and faster. You just cannot see where to start.
How they fit. Search visibility brings people in, ads buy the rest, lead generation starts conversations, e-commerce growth turns visits into orders. The audit tells you which one to fix first.
If the descriptions above did not settle it, this usually does.
Most of this work is scoped from the audit roadmap, so we start with the highest-value lever rather than the most obvious one. Request a call and we will find it.
Request a callFramed in your numbers · fixed scope · DSGVO-native · no lock-in
You know AI matters. You do not know where to start, what is hype, and what would actually move your numbers. The audit answers that, with a prioritised 90-day roadmap, not a 50-page presentation nobody reads.
A fixed-scope review of your marketing and e-commerce operation, run by a senior practitioner, that ends with a clear, ordered list of where AI earns its keep first.
You are stuck between two bad options: do nothing while competitors move, or buy a tool on a vendor's promise and hope. The audit replaces both with an experienced read: what AI genuinely improves in your operation, what it cannot yet, and in what order.
I look at how your team actually works: content and campaign production, SEO, product pages, support load, reporting, the manual hours. I map each against what AI realistically delivers at your scale, and separate the high-leverage moves from the expensive distractions.
Mid-market e-commerce and marketing teams, roughly €2–20M revenue, without a senior, vendor-neutral read on where AI fits. If you want the cheapest pair of hands to build a bot, I am not your person. If you want judgment first, I am.
Direct with me, no junior team, no account manager. Fixed scope and price, agreed before we begin. You decide what happens next; no lock-in, no pressure to continue into a build.
These are documented results from published studies and other companies, shown as what the approach is built for, not as MetaGem's own results.
McKinsey's 2023 State of AI found firms fully integrating AI in marketing report revenue uplifts in this range, with sales-ROI improvements of 10–20%.
Across e-commerce benchmarks, shoppers who engage a well-built assistant convert at roughly 12% versus ~3% for those who do not.
With targeted training and the right workflows, SME studies report double-digit hours saved per employee per week on repetitive work.
An honest filter is cheaper for both of us than a wasted first meeting.
Seventeen years of marketing and e-commerce work, and a practice that builds these systems rather than only recommending them. The roadmap stays honest about effort because its author has had to deliver it.
MetaGem tests these tools in the open, disappointments included. The audit inherits that bias: it will tell you when a use case is not worth doing.
What is not on offer: guaranteed revenue uplift, a fifty-page deck, and a roadmap that only works if you keep paying me to run it.
A real client example belongs here. Left empty on purpose rather than filled with an invented story.
A short findings report, a prioritised register with effort and impact per item, and a 90-day roadmap in execution order, walked through live so your team can argue with it. Short on purpose; a long document gets read once.
Roughly three weeks, not full time. Intake and access usually slip, so they get settled before anything starts.
Read access to analytics and advertising accounts, a list of the tools you pay for, and a short questionnaire. Read-only, so nothing changes while the review runs.
No. The roadmap is written so somebody else can execute it: your team, your agency. If you want me to take parts on, that is scoped separately after the findings.
German companies can often use BAFA advisory funding for a share of the cost. One rule matters: the application is filed before the engagement starts, so it is covered on the first call. Eligibility is confirmed before anything is promised.
Start with a call. If the audit is the right next step, we scope it on the spot. If it is not, I will say so.
Request a callFixed price · no lock-in · direct with the founder
Your customers no longer search in one place. They ask Google, they ask ChatGPT, they skim an AI-written summary, and they have shortlisted two providers before anybody picks up a phone. MetaGem finds what is holding your visibility back, in classic search and in AI answers alike, and hands you a prioritised plan for being found, understood and recommended.
Nobody wakes up wanting an audit. You are here because the numbers stopped adding up and the explanations contradict each other. Count how many of these you recognise.
Two acronyms will come up, so briefly: AEO is showing up when somebody gets a direct answer instead of blue links. GEO is the same idea for systems that write the answer: ChatGPT, Perplexity, AI overviews. Both mean one thing, being a source those systems trust enough to name.
None of this retires SEO. Google is still where most of the money is, and the work that earns a ranking there is largely what gets you quoted inside AI answers: reachable pages, content that answers a real question, an unambiguous identity. One project, one budget. Anyone selling GEO separately is selling a second invoice.
The point of the review is not a document. It is that the next twelve months of marketing spend goes somewhere defensible.
Not a feeling. A scored picture of your visibility in Google and in AI answers, placed next to the competitors you actually lose deals to.
Every finding carries an effort estimate and an impact estimate, so the cheap high-value fixes happen in the first fortnight rather than the sixth month.
Retainers full of busywork become obvious the moment somebody ranks the work by commercial value instead of by hours.
Consistent naming, machine-readable structure and straight answers to the questions buyers ask. That is what makes a system willing to cite you rather than guess.
A single prioritised plan that your in-house team, your agency or a freelancer can pick up and execute without renegotiating the strategy first.
A scorecard in language a non-marketer follows, repeatable next quarter, so progress is arguable in facts rather than adjectives.
Six areas, deliberately not split into an SEO project and an AI project: the same faults cause both, and paying twice to find them wastes your money.
Read access only. Nothing changes on your site during the review, so live traffic carries no risk.
Bring your developer or agency into the room. If the findings are right, they survive the scrutiny.
Short, written for the person who has to make the decision, and built so that somebody other than me can execute it.
Five steps, agreed in scope before anything begins. No surprises on the invoice and no discovery phase that quietly becomes the project.
We agree the commercial goal, the markets and the competitors that matter, then get read access to your site, analytics and search console.
The crawl, the index, the speed, the structure, the content and the internal links, all checked against what buyers actually search for.
Rankings measured in Google, and real buyer questions run through ChatGPT, Perplexity and AI overviews to see who gets named.
Every finding gets an effort and an impact estimate, then the list is ordered by what it is worth rather than by what is easy.
You get the document and a working session on it, so your team leaves the call knowing what to do on Monday morning.
An honest filter is cheaper for both of us than a wasted first meeting.
Seventeen years on the commercial side of search: written by somebody who has defended a marketing budget in a management meeting, not only read algorithm updates.
MetaGem tests these tools in the open. The assistants and workflows discussed here are the ones written about on this site, so recommendations name a specific next step.
What is not on offer: guaranteed rankings, guaranteed traffic, and a fifty-page deck nobody opens twice.
A real client example belongs here. Left empty on purpose rather than filled with an invented story.
It contains one, then keeps going. A classic SEO audit examines your site and your Google position. This review also tests what AI assistants say when asked the question your best customer would ask. One without the other is half a picture.
Whether ChatGPT, Perplexity and Google's AI answers mention your company, describe it correctly, and send people your way. You cannot buy a place there. You earn it with content those systems trust, largely the same content that earns a ranking.
Either. The review ends in a roadmap your team or agency can execute; no obligation to continue with me. Handing work over is scoped separately once you have seen the findings.
Depends on site size and how fast access arrives; the timeline is agreed in writing first. Access usually slips, so it is settled before the start.
No, and be wary of anyone who does. Nobody controls Google or what a model says; a guaranteed position is a promise about somebody else's system. What I commit to: an honest read of what holds you back, ordered by what it is worth.
Request a call. If a full review is not the right next step, I will say so on the call, not after the invoice.
Request a callFixed scope · no lock-in · the findings are yours to keep
Budget going to the audiences, offers and actions that produce business, and reporting that shows you which ones did. MetaGem audits, rebuilds and runs campaigns across Google, Meta and LinkedIn.
Advertising rarely fails loudly. It fails as a slow leak with a healthy-looking report attached. These are the most common patterns.
They are not interchangeable, and running the same campaign on all three is a reliable way to waste money on two of them.
Search, Shopping and Performance Max: demand that already exists. Somebody is looking for what you sell, which is why it usually earns its budget back first.
Facebook and Instagram: you create demand rather than catch it. Works best when the product is visual and the decision quick.
Expensive per click and often worth it in B2B: you pay to reach a specific job title instead of guessing at one.
Every engagement starts inside the account, not a strategy document. Within a week, three answers: what a qualified lead really costs, whether the tracking tells the truth, and which campaigns carry the account while the rest drain it.
The account and tracking are reviewed before anything changes. Rebuilding campaigns on broken measurement produces numbers that are wrong in a new way, and it is easy to spend three months celebrating them.
Most accounts need rebuilding around how you sell: fewer campaigns, clearer budget lines, one measurable action each. Then optimisation becomes a small weekly job. If the account is genuinely healthy, I will say so, and we can talk about whether you need me at all.
A campaign is only as good as its landing page. The most expensive accounts usually point at a page demanding a fifteen-field form before giving a reason to care. Fixing that page is part of the work, not an upsell.
Your accounts, your data, your history. If we stop working together, nothing is handed back or rebuilt, because nothing was held hostage.
What a good lead looks like to your sales team, what one is worth, and what you are actually trying to grow this year.
Structure, spend, search terms, audiences and creative, plus a hard look at whether conversions are being counted correctly.
Channel choice, budget split, offers and messages, with a stated expectation of what each campaign is there to do.
Campaigns set up or restructured, tracking corrected, landing-page changes agreed with whoever owns the site.
Regular review against leads and sales, with the changes and the reasoning written down so decisions can be traced later.
Duplicate campaigns, irrelevant search terms and audiences that never convert stop consuming budget that has better places to go.
Targeting, offer and message pulled into line, so the people who click have some reason to be there.
Conversion tracking that reflects reality, connected where possible to what happens after the form is submitted.
You can say which campaigns contribute to business outcomes and which are along for the ride.
Scaling up or pulling back stops being a matter of nerve and becomes a matter of arithmetic.
Written for the person who signs off the budget, not for the person who enjoys the dashboard.
Seventeen years spending other people's budgets in platforms that change their rules every few months. It mostly shows up as scepticism: about new ad formats, automated bidding promises, and any report that leads with impressions.
You deal with one senior practitioner throughout. No account manager relaying questions to somebody you never meet, and no junior learning the platform on your budget.
What is not on offer: guaranteed lead volumes, guaranteed cost per acquisition, and campaigns that cannot be explained in a sentence.
A real client example belongs here. Left empty on purpose rather than filled with an invented story.
Google Ads (Search, Shopping, Performance Max), Meta, and LinkedIn for B2B. Which you should be on is the first conversation, and the answer is often fewer than today.
Yes, a common request. Read access, nothing disturbed. You get a straight assessment: structure, whether the measurement holds up, whether your reporting reflects reality.
Structure and copy are part of the work; a campaign needs them to have a fair chance. The build depends on your setup: your team, your agency, or scoped into a lead generation engagement.
Yes, once the account is rebuilt, never as a condition. Some companies take the findings and run it themselves, which is occasionally exactly right.
No. Lead volume depends on your market, offer, prices and competitors as much as the advertising; anyone promising otherwise is not being straight. Committed: clear structure, honest measurement, reporting that shows what your money bought.
Request a call. If the honest answer is that you need a better offer rather than better advertising, you will hear that too.
Request a callYour accounts stay yours · no lock-in · reported in leads and sales
Enquiries your sales team can work with, not a list of downloads. MetaGem builds the whole path as one piece of work, campaign to content to landing page to follow-up, so the handovers between them stop losing people.
A real journey: somebody in your market has a problem and starts reading. Your content is genuinely useful, so they continue. They are offered something worth an email address, a comparison, a checklist, an honest guide, and receive it within minutes. Over a fortnight they hear from you two or three times, always usefully. Then they ask for a conversation.
Five pieces do the work: audience, offer, content, page, follow-up. Most companies own three or four and assume the rest. The gaps are exactly where lead generation fails; a broken handover between two decent pieces is the usual culprit.
These are the six failures that account for most of it. You will probably recognise two or three.
Five stages, in this order, because each one is worthless without the one before it.
Who you are actually trying to reach, what they are worried about, and what is worth giving them in exchange for a conversation.
The route from first contact to enquiry, written out step by step, including where a human takes over from the automation.
The asset itself and the page that carries it, both written to be useful first and persuasive second.
Forms, conversion tracking and the follow-up sequence, connected to whatever CRM or email tool you already run.
Live traffic, then a scheduled look at where people drop out, with the next round of changes named rather than vaguely promised.
Deliberately practical. No strategy phase that produces a document and stops; a strategy nobody built is an expensive opinion.
What already works stays. Decent content with a broken conversion path is common; rebuilding what is fine is not a service, it is invoice-filling.
One boundary stated plainly: this is campaign and conversion work. Being found is a different job, and it lives in SEO and AI search visibility.
An offer worth the exchange, rather than a contact form and a hope that somebody is feeling brave.
The visitors are usually there already. What is missing is the moment that invites them to take a step.
Sales opens the conversation knowing the problem, the timing and roughly who else is in the room.
Content, landing page, form and follow-up designed together, so nothing falls through a handover.
What counts as a qualified lead gets written down and agreed, which ends a surprising number of long-running arguments.
The second one costs a fraction of the first, because the journey, the tracking and the follow-up already exist.
Seventeen years, much of it in the unglamorous middle of the funnel. The bias: fewer, better pieces. One strong offer beats four weak ones; one well-built journey beats a calendar nobody reads.
AI helps with research, drafting and variants; a person owns every word that reaches your prospects. Not philosophy: generic copy converts badly, and your buyers can tell.
What is not on offer: guaranteed lead volumes, purchased lists, and a nurture sequence that pesters people until they unsubscribe.
A real client example belongs here. Left empty on purpose rather than filled with an invented story.
No, deliberately. Search visibility is being found, and has its own section. This is what happens next: offer, landing page, form, follow-up, turning a visit into an enquiry. Companies often need both; they are different jobs and scoped as such.
Produced, not specified. Campaign content, landing page copy and the lead asset are written as part of the work. A strong writer on your side is welcome to take pieces.
Structure and copy always included. The build depends on your setup: your team or web agency implements, or I build directly on your system. Settled at scoping.
Mostly yes: forms, tracking and nurture run on tools you already use. Where a real integration is missing, that is workflow automation, scoped alongside.
Agree what a qualified lead means before the campaign runs, then track against that instead of form fills. A few qualifying questions, a feedback loop from sales. Unglamorous, and it settles more disputes than any dashboard.
Request a call. You will get a straight opinion: campaign, better offer, or simply following up faster.
Request a callScoped before it starts · no lock-in · the assets are yours
MetaGem finds where customers hesitate, abandon or fail to return, then ranks the fixes by what each is worth to conversion, order value and repeat purchases. The cheapest growth is usually already in the funnel.
The sums settle it. 40,000 visits a month, 1.2 per cent conversion, 70 euro average order: 480 orders, 33,600 euros. Double the traffic: 67,200 euros, with an acquisition bill doubled along with it.
Or leave traffic alone and move conversion to 1.6 per cent, the kind of shift a repaired checkout and three rewritten product pages produce: 640 orders, 44,800 euros, from visitors you had already paid for. Add order value and retention, and the two paths stop being comparable in cost.
Arithmetic, not a forecast. Whether 1.6 is reachable depends on what is actually wrong in your shop, which is the first question this work answers.
Six patterns account for most of it in mid-sized shops. They are rarely dramatic on their own, which is exactly why they survive for years.
Everything else is a variation on one of them. Knowing which of the three your shop has the most headroom in is half the job.
Conversion. Removing the friction, the doubt and the missing information between the product page and the confirmed order. Usually the cheapest lever, and usually the most neglected.
Average order value. Sensible bundling, honest recommendations, shipping thresholds that make sense, and merchandising that helps rather than nags.
Retention: the second and third purchase cost a fraction of the first. Lifecycle email, post-purchase care and reorder timing pay for themselves quickly.
The review looks at your shop as a customer experiences it and as your data records it. The two disagree more than anyone expects; the gap is where the opportunity sits.
Landing, browsing, comparing, basket, hesitation, checkout, confirmation, delivery, return visit. Each is a place to lose somebody, and each leaves a trace in the data.
Every field, step, surprise cost and moment of doubt, on phone and on desktop. Checkout is where customers you already paid for are lost, which makes it the most expensive place to ignore.
Analytics and tracking are checked before any finding is written; a recommendation built on a misconfigured event is worse than none. Broken measurement becomes roadmap item one.
Every finding carries cost-to-fix and plausible worth. Some of the best are an afternoon of developer time; others are a replatforming project. You deserve to know which is which before anybody starts.
Read access to the shop, the analytics and the ad accounts, then a first pass over what the numbers say is happening.
The shop walked end to end as a customer, on mobile and desktop, with every hesitation point recorded.
Where people drop out, what is stopping them, and what is being left on the table after the first order.
Effort against impact for every finding, ordered so the cheap valuable work is unmistakable.
A working session with the people who will do the work, so the roadmap survives contact with your development queue.
Seventeen years, including the parts without conference talks: shipping thresholds, returns policies, product data, the eternal newsletter argument. Shops are won on that detail more than on strategy.
Platform-neutral. No partner commission, no preferred replatforming, no interest in a rebuild where three targeted fixes do the job for a fraction of the money.
What is not on offer: guaranteed conversion uplift, guaranteed revenue, and a backlog so long that nobody ever starts it.
A real client example belongs here. Left empty on purpose rather than filled with an invented story.
Almost certainly: Shopify, WooCommerce, Shopware and the rest are familiar territory, and the analysis is platform-neutral. Where a finding is platform-specific, it says so.
Conversion is the biggest single lever, but stopping there misses half the money. Order value and retention are covered too; a shop that converts and never sees the customer again still leaves plenty on the table.
The review ends in a prioritised backlog your team or agency can execute. Handing parts over is scoped separately once you have seen the findings.
Yes, and it usually helps: acquisition and shop experience are one funnel seen from two ends, and a checkout problem will happily impersonate an advertising problem. If acquisition is the bigger issue, that is said plainly.
Read access to shop admin, analytics, and where relevant ads and email. Read-only. The exact list comes before the start, because access is what usually delays these projects.
Request a call. You will get an honest read on which of the three levers, conversion, checkout or repeat business, has the most headroom for you.
Request a callPlatform-neutral · fixed scope · no lock-in
