Services
We don’t sell packages or self-serve tooling We build the marketing infrastructure that turns AI Search signals into continuous, compounding execution
A connected discipline
We don’t offer cookie-cutter packages or self-serve solutions Data tells us where to act; custom infrastructure lets us execute faster, learn continuously, and compound results over time.
Our services begin with decision context We identify the audiences, questions and criteria closest to commercial intent, then build the infrastructure that helps assistants interpret the brand accurately.
We define the questions that reveal real consideration: who is asking, what they are trying to decide, which alternatives they compare and what evidence changes confidence. This creates a commercially useful prompt universe rather than a generic keyword list.
We examine whether the open web provides a coherent, credible account of the brand’s expertise The roadmap connects owned content, entities, executive authority and independent sources so assistants have better evidence from which to form an answer.
We translate positioning into defensible reasons for recommendation. The goal is not to claim universal superiority, but to make the circumstances in which the brand is an excellent fit specific, consistent and supported.
We review how selected assistants describe, compare and qualify the brand against an agreed prompt set. Reporting focuses on material movement in presence, fit, accuracy and source quality - not vanity mention counts.
Built for your market
Menchly works with reputation-sensitive, high-consideration markets where buyers research deeply, decisions carry meaningful consequence, and a generic mention is no substitute for a credible, context-specific recommendation. Each programme is built around the language, intermediaries, evidence and reputation dynamics of the market rather than a universal prompt template.
Current sector focus includes yachting, private aviation, luxury real estate, jewellery & watches, and luxury hospitality. Buyers in these markets ask which operator fits a mission, which builder belongs on a shortlist, which adviser can serve a family office, or which property matches a precise need — questions that demand fit, provenance and trust, not volume.
The approach applies to any market where authority signals and citation quality shape recommendation, where reputation precedes revenue, and where being recommended for the wrong reason carries commercial cost. View all industries
How we work
Align commercial priorities, buyer roles, decision moments, market context and operating constraints with senior stakeholders.
Document what selected assistants currently say, where the brand appears, which sources recur and what material gaps exist.
Rank prompt opportunities and reputation risks by audience relevance, buyer intent, authority feasibility and potential decision influence.
Build a coordinated roadmap across entities, content, executive expertise, digital foundations and credible external authority.
Work alongside existing teams and partners to implement approved interventions with clear ownership and review controls.
Re-test the agreed question set, assess qualitative change and adapt as models, sources, buyer language and commercial priorities evolve.
Foundation
AI assistants rely on the same foundational web signals as traditional search — content quality, entity relationships, authoritative sources and current facts — but they synthesize those signals into natural language rather than ranking pages. Research shows that content with clear structure, cited statistics, quotations from credible sources and direct answers to specific questions can improve visibility by up to 40% in AI-generated responses.
Google and other major platforms have stated that no special schema, AI text file or machine-readable markup is required for AI visibility. What matters is the visible content itself: clear answers to real buyer questions, supported by credible evidence. Our work strengthens the owned and earned authority environment that influences whether a brand is understood and considered.
Read research perspectives · About MenchlyEngagement design
Menchly can lead a defined strategic engagement or work as a specialist layer alongside brand, communications, SEO, content and reputation partners.
Scope, access and approval controls are agreed at the outset. No responsible agency can guarantee an independent model recommendation; our role is to improve the clarity, credibility and authority on which those recommendations may depend.
Review the methodologyFrequently asked
An engagement includes four integrated services: Prompt and market intelligence maps the high-intent questions that reveal genuine buyer consideration and decision criteria. Authority architecture assesses whether the open web provides a coherent, credible account of the brand's expertise and builds a roadmap connecting owned content, entities, executive authority and independent sources. Recommendation positioning translates positioning into defensible reasons for recommendation, making the circumstances in which the brand is an excellent fit specific, consistent and supported. Reputation monitoring reviews how selected assistants describe, compare and qualify the brand against an agreed prompt set, with reporting focused on material movement in presence, fit, accuracy and source quality.
Yes. Menchly can lead a defined strategic engagement or work as a specialist layer alongside brand, communications, SEO, content and reputation partners. Scope, access and approval controls are agreed at the outset, and coordination with existing teams is part of the activation phase.
Prompt and market intelligence delivers executive and stakeholder discovery, a high-intent prompt universe, buyer-stage and audience mapping, and a competitive recommendation review. Authority architecture delivers entity and source assessment, authority-gap prioritisation, owned-content briefing, and an earned-authority agenda. Recommendation positioning delivers best-fit recommendation territories, decision-criteria narratives, comparison and objection guidance, and cross-channel message alignment. Reputation monitoring delivers a model-response baseline, narrative and accuracy review, source-pattern monitoring, and executive recommendations.
Menchly works with reputation-sensitive, high-consideration markets where buyers research deeply before revealing intent. Current sector focus includes yachting, private aviation, luxury real estate, jewellery and watches, and luxury hospitality. Each programme is built around the language, intermediaries, evidence and reputation dynamics of the market rather than a universal prompt template.
Yachting · Private aviation · Luxury real estate · Jewellery & watches · Luxury hospitality
Reporting focuses on four dimensions that keep findings commercially grounded: Presence measures whether the brand enters relevant answers for the agreed question set. Fit assesses whether it is recommended for the buyer, need and context the brand is equipped to serve. Accuracy evaluates whether the answer reflects current facts, approved positioning and meaningful distinction. Authority reviews whether owned and independent sources are credible enough to support confidence. The approach combines repeatable review with informed judgement, interpreting AI outputs as directional evidence rather than deterministic rankings.
Engagements are scoped according to commercial priorities, audience fit, category context and operating constraints. The six-stage methodology moves from discovery and baseline through prioritisation, architecture, activation and continuous learning. Programme length varies by complexity and category maturity. Initial baseline assessments establish current state before activation begins, and monitoring continues as models, sources and markets evolve.
Private AI visibility assessment
Establish how assistants interpret your brand today, which questions matter, and where infrastructure can improve speed, learning and compounding results.
Request a private assessment