A strategy-led diagnostic for e-commerce brands, delivered as an Evidence File your team can act on. We test whether AI systems find, trust and select your products for the buyers and markets your growth plan depends on, then identify the gaps to fix first.
When AI answers the buying question, your brand is selected, misrepresented, replaced or absent. There is no page two.
We are taking on a small founding cohort of beauty and trust-sensitive brands operating in or selling into the EU. Founding clients get senior, founder-led work at founding terms, and shape the first EU research in the category.
Generic visibility tools cannot answer these questions, because the answers depend on your business strategy, not on a universal score. Success is not appearing in every AI answer. It is winning the queries your growth plan depends on.
AI assistants do not exclude brands at random. The audit tells you which of the three is happening, where, and what to fix first, tested against the buying moments in your Strategy Brief.
When product attributes are ambiguous, missing or unstructured, AI systems may exclude your brand before comparison begins. Competitors with cleaner data fill the gap.
When claims conflict across your website, retailer listings and review platforms, AI confidence can drop. The result may be hedged recommendations or quiet exclusion, even when you are visible.
Real buying queries carry context: audience, occasion, budget, outcome and constraint. If your product data does not map to those dimensions, AI cannot place you when it matters.
A complete diagnostic delivered in two to three weeks, senior-led. We review AI recommendation behaviour, competitor substitution, trust and product-data consistency, and content gaps across the agreed platforms, then hand your team a documented package they can act on.
Inside the Evidence File
All six deliverables ship inside the Evidence File: findings, receipts, reproduction records and dates in one package. The roadmap identifies one or two near-term changes your team can test within 90 days, alongside deeper structural fixes.
Every finding is backed by its receipt, its reproduction record and its date, so your team can verify each conclusion before acting on it. Every representation finding runs at least three times per query per platform in clean sessions, reported only at 2-of-3 reproducibility, with platform and model version logged. Built on 75+ documented tests across multiple AI platforms, languages and EU product categories (conducted December 2025 to January 2026, with ongoing testing as platforms evolve), applied to your brand specifically.
We do not promise to control AI outputs or guarantee rankings. We measure whether your products become more visible, more accurately represented and easier for AI systems to read, compare and trust after priority data and content gaps are fixed.
See what we actually find in AI product recommendations →E-commerce and digital commerce leaders
Are AI systems recommending competitors before buyers reach our site?
Marketing, brand and growth leaders
Which category queries should we be winning, but are going to competitors?
Commercial and product data leaders
What should we prioritise: product data, content, reviews, claims, feeds or governance?
Not a fit for brands without an existing digital presence, or for teams looking for implementation services. We diagnose and advise. Execution is delivered by your internal teams or trusted partners.
The standard audit tests across ChatGPT, Google Gemini and Perplexity Shopping. Each weighs product data, sources and buyer context differently, so cross-platform testing is essential. Other platforms can be added by request and scoped during the strategy call.
The standard audit can be delivered in English and Spanish. Testing can include English, Spanish, German and Italian buyer queries, depending on the market and category. Additional languages can be scoped where there are reliable sources and local market evidence to review.
AI SEO often focuses on mentions, citations or answer visibility, and visibility tools measure everything for everyone. This audit asks a more commercial question: are your products selected when a buyer asks what to buy? We test the queries your growth plan depends on and prove what is blocking you.
Every representation finding is run at least three times per query per platform in clean sessions, reported only at 2-of-3 reproducibility, backed by a screenshot or transcript receipt, and dated, with platform and model versions logged. You receive the evidence, not just the conclusion.
We are taking a small 2026 cohort, one brand per competitive set. The founding fee is €1,500, reduced from a standard €4,500, payable only if we surface reportable findings, and creditable in full against a later re-test or monitoring engagement. In return, we ask for a reference conversation and permission to include your results, anonymised, in our EU research. Applying starts with the free strategy call.
The audit is the start of a proof loop. After your team implements the priority fixes, an optional Re-test and Verification Sprint documents what changed under the same evidence standard, and AI Visibility Monitoring tracks whether you are still winning the queries you decided matter.
A free 45-minute strategy call built around five questions that define what AI visibility should support in your business. You leave with a completed Visibility Strategy Brief, and the proposal you receive quotes your own answers. Then two to three weeks of analysis, testing and a findings presentation with your team.
Applying starts with a free 45-minute strategy call. Send your brand URL and what you want to understand, and we complete your Visibility Strategy Brief together: five questions that define what AI visibility should support in your business. You leave with the brief whether or not we work together, and if the fit is right the proposal quotes your own answers.
