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Buyers in your category are asking ChatGPT, Gemini, and Perplexity which brand to choose — before they open a browser tab.
Buyers in your category are asking ChatGPT, Gemini, Perplexity, and Claude for recommendations — before they open a browser tab. Wiele engineers the citation architecture, entity trust, and authority signals that determine whether those answers include you or your competitors.
Direct answer
Wiele Group engineers AI search visibility for premium brands — the entity trust, citation architecture, and answer-engine monitoring that determine whether AI systems cite your brand when buyers ask for recommendations in your category.
The problem
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Buyers in your category are asking ChatGPT, Gemini, and Perplexity which brand to choose — before they open a browser tab.
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Your competitors appear in those answers. You do not. That gap is compounding every month.
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The content strategy that built your Google rankings does not automatically earn AI citation — the signals are different.
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You have no way to measure whether AI engines are recommending you or displacing you in real time.
What Wiele engineers
A full engine run across ChatGPT, Gemini, Perplexity, and Claude — citation share, mention strength, source weight, authority gaps, and a 30-day roadmap. Baseline in 14 days.
Whether AI engines can unambiguously identify your brand as a distinct entity is Stage 1 of the citation hierarchy — and the gate every other stage depends on. Most brands fail it silently.
Structured extractability — schema bundle, direct-answer blocks, FAQ architecture, named-author trace — the five engineering changes that make your pages quotable by AI engines.
Tier-1 press placement, founder-voice publishing, and knowledge-graph signal building — the compound authority layer that makes AI engines trust and cite your brand over time.
Monthly citation share tracking against named competitors across four engines. Versioned prompt panel, prioritised action queue, founder-reviewed report. The compounding loop, instrumented.
Token-first website builds with contractual Core Web Vitals SLAs — the technical substrate that makes a domain citeable by AI engines, not just rankable by search engines.
Entity Resolution in depth: Read Citation Brief #006 — Stage 1 Entity Resolution →
Audience
Outcomes
Citation share across ChatGPT, Gemini, Perplexity, and Claude — tracked monthly against a named competitor set. The goal is clear: close the gap, then widen it.
AI engines unambiguously identify your brand. Schema, knowledge-graph footprint, sameAs disambiguation, and consistent identity signals across authoritative sources.
Structured extractability across your top pages — definitive openers, clean H2/H3 hierarchy, schema bundle, table layouts. The Stage 3 sprint that moves citation share in a quarter.
Every metric in the monthly report is replayable from the citation log. Open methodology. Founder reviews every report. No black-box scoring.
Why now
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Google AI Mode reaches 75 million daily active users across 40 languages. AI Overviews reach 1.5 billion monthly users. Brands invisible in AI-generated answers are invisible to a growing proportion of buyers.
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77% of AI Mode users report deciding faster than with traditional search. 75% decide more confidently. The consideration phase is compressing — brands cited in AI answers win before the buyer reaches your website.
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Citation history compounds. Early citation begets later citation. Brands that build the substrate now will be the default recommendation when the AI-search era fully matures.
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Your competitors are engineering their AI citation surface. Every month without a baseline diagnostic is a month of compounding displacement you cannot reverse cheaply.
The Signal Audit is a fixed-scope, fixed-price diagnostic at €2,500. A full engine run across ChatGPT, Gemini, Perplexity, and Claude — citation share baseline, mention strength, authority gaps, prompt-injection surface map, AI crawler posture, and a prioritised 30-day roadmap. Delivered in 14 days.
Not ready to commit? Book a Strategy Call first — a scoping conversation with a Wiele principal at no cost.
Go deeper
Monthly citation share tracking against named competitors across four engines.
Token-first AI-native website builds with contractual Core Web Vitals SLAs.
Why AI engines build compounding recommendation loops — and why the brands that land first keep compounding. The brief that makes the retainer argument concrete.
Signal Audit through Sovereign — the full Wiele pricing ladder.
Questions
AI search visibility is the measure of how often, how strongly, and in which context AI answer engines — ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews — cite or recommend your brand when buyers ask questions in your category. It is distinct from organic search rankings: a brand can rank well on Google and be invisible in AI-generated answers, or vice versa. The signals AI engines use to decide who to cite — entity trust, structured extractability, source authority, freshness, and recommendation history — are different from traditional ranking signals.
Traditional SEO is optimised for position in a results list. AI search visibility is optimised for inclusion inside the generated answer — a fundamentally different surface. The five stages of the citation hierarchy (entity resolution, source authority, structured extractability, freshness, recommendation history) require different engineering work, different measurement, and different content architecture than classical SEO. Wiele runs both as one integrated system: SEO authority compounds AEO citation, and AEO citation feeds branded search. The two are not in competition — they are complementary layers.
The Signal Audit is Wiele's entry-point diagnostic — a full engine run across ChatGPT, Gemini, Perplexity, and Claude that produces a citation share baseline, mention strength breakdown, source weight analysis, authority gap report, prompt-injection surface map, AI crawler posture audit, and a prioritised 30-day roadmap. It is a one-off diagnostic at €2,500, delivered in 14 days. The Signal Audit is the recommended first step for any brand that wants to understand its AI visibility before committing to a retainer.
AI Visibility Monitoring is Wiele's recurring retainer that tracks citation share monthly against a named competitor set across four engines. A versioned panel of buyer-intent prompts runs every month — same prompts, fresh sessions, no personalisation. The output is citation share by engine, source weight breakdown, competitor comparison, a prioritised action queue, and a founder-reviewed report. The methodology is open — every metric is replayable from the citation log. Monitoring starts after a Signal Audit establishes the baseline.
Entity resolution is whether AI engines can unambiguously identify your brand as a distinct entity — separate from competitors, common nouns, or people sharing the same name. It is Stage 1 of the Five-Stage Citation Hierarchy and the gate every other stage depends on. A brand that fails entity resolution will be cited inconsistently, attributed to wrong sources, or ignored entirely — even if its content is strong. The fix is a three-week engineering sprint: schema sameAs disambiguation, Wikidata filing, founder-voice publishing, and structured third-party citation placement. Read Citation Brief #006 for the full methodology.
Not necessarily. The Signal Audit identifies the exact gaps — some brands need content architecture changes (Stage 3 structured extractability) that can be applied to an existing site. Others need the technical substrate rebuilt — token-first architecture, correct schema layer, llms.txt, sitemap, and Core Web Vitals — which is the scope of the Premium Brand Site System. The audit determines which intervention applies. Wiele does not recommend infrastructure rebuilds unless the diagnostic confirms it is the highest-leverage action.
The Signal Audit. It is a fixed-scope, fixed-price diagnostic (€2,500, 14-day delivery) that tells you exactly where your brand stands across the four major AI engines, what the gaps are, and what the 30-day roadmap looks like. Most engagements start here. If you want to discuss fit before committing, book a Strategy Call — a scoping conversation with a Wiele principal at no cost.
Entity resolution wins land first — typically 30–60 days after the Schema and Wikidata layer ships. Structured extractability lift (Stage 3) shows up in the next monthly engine run after the sprint, usually 4–6 weeks. Source authority (Stage 2) compounds over quarters, not weeks. The Signal Audit identifies your Stage 1 status immediately; the 30-day roadmap prioritises the fastest-moving levers for your specific situation.
Run the audit
14 days. One engine run. Five signals. A 30-day implementation roadmap delivered with a Wiele principal on the call.
€2,500 one-off · No retainer required to start