Human-led answer engine audit
We test the buying questions your customers actually ask ChatGPT, Gemini, Claude and other answer engines — then show you where your product stops being found, understood, trusted or chosen, and what to change first.
Independent example audit
Captured · 18 AUG 2026 · UK“What are the best gaming keyboard brands to consider?”
Selected overallWooting 3 / 4
Razer 1 / 4
The brand is anonymised here. This was independent research, not commissioned client work.
01 / THE SHIFT
When customers ask AI what to buy, the answer is often a shortlist — and a simple reason for every product or brand on it.
What does AI believe your product is the best choice for?
THE SIMPLE VERSION
Something a real customer asks before choosing.
Across relevant engines, sources and competitors.
Human-reviewed, specific and commercially useful.
02 / WHAT YOU LEARN
We check crawlability, indexability, headings, semantic structure, internal links and the product and category language that helps important information get found.
We test whether engines understand what it is, who it is for and when it should be considered — across descriptions, use cases, constraints, schema and external sources.
We review independent comparisons, customer proof, expert references, original evidence, trust signals, and unsupported or contradictory claims.
We examine recommendation visibility, competitor positioning, objections, buying criteria, trade-offs and why another product may be easier to recommend.
Technical SEO foundations matter. They can help a product be found and understood, but they do not by themselves make it the recommendation.
03 / TECHNICAL & AI READINESS
The audit checks whether your website and product information can be reliably discovered and interpreted, then reviews those technical foundations alongside the recommendation evidence.
04 / EXAMPLE FINDING · INDEPENDENT RESEARCH
The anonymised brand was understood for enthusiast customisation. Competitors owned simpler, easier-to-repeat reasons to recommend.
Human interpretation
The buyer can finish early research before this product is seriously considered. The first action is to own a narrower, defensible decision category: customisable high-performance gaming keyboards, supported by independent comparisons and evidence that directly addresses software and value objections.
Directional snapshot. AI outputs vary by model, market, wording, date and user context.
05 / HOW IT WORKS
Select 5–10 customer decisions that matter commercially.
Run consistent buyer questions and capture outputs, market, date and source patterns.
Review whether the website and product data can be reliably found and interpreted.
Separate one-off variation from recurring narratives, objections and evidence gaps.
Prioritise the smallest, highest-value positioning, evidence, comparison or technical actions.
HUMAN REVIEW
Founding Partner, We Scale Startups
Every mini-scan and paid audit is personally reviewed and interpreted by Daniel. Technology helps gather and organise the evidence; the diagnosis, commercial interpretation and recommended actions are human-reviewed.
Free directional check
Give us one commercially relevant question a prospective customer might ask before buying. We’ll run a fresh directional check, review the relevant answer-engine evidence and technical foundations, and return one human-reviewed finding and the first action we would test.
Book my free mini-scan ↗No website passwords or analytics access required.06 / THE AUDIT
£950 fixed-scope pilot
A focused diagnosis for teams that want a clear, evidence-backed view of how answer engines position their product — and where to act first.
Best suited to high-consideration products where buyers compare alternatives, evidence, use cases and trade-offs before purchase.
Start with the free mini-scan ↗Five-working-day target after scope and inputs are confirmed.
07 / OUR APPROACH
Answer engines change, and one machine will not understand every customer quirk, buying pattern or category nuance. Technology gathers the evidence; an experienced human decides what it means and what is worth changing.
08 / FAQ
No. Technology helps gather and organise evidence. A human chooses the relevant questions, reviews outputs and sources, interprets the commercial pattern and prioritises what to change.
Partly. Technical SEO and site structure are included where they affect discovery and machine understanding. The service goes further by testing whether the product is understood, trusted and actually chosen in buyer-style AI research.
No. Answer-engine outputs are dynamic. The audit is a dated, evidence-backed diagnostic designed to identify repeated patterns and practical opportunities, not promise permanent rankings or recommendations.
Your website, target market, priority product or category, and one commercially important question a prospective customer might ask.
No. The core audit is external. Internal analytics or customer research can improve interpretation but are optional.