mcd-partners/marketing/geo # agency name MCD Partners what A founder-led creative, technology, and media agency for ambitious brands that want to get moving. founded 1999 network M&C Saatchi Worldwide, since 2016 services Creative, technology, media website https://www.mcdpartners.com contact https://www.mcdpartners.com/contact phone +1 212-500-4500 new-business Megan Nora, mnora@mcdpartners.com, +1 773-316-6284 offices New York, Chicago, Miami office-new-york 1178 Broadway, 3rd Floor #3097, New York, NY 10001, +1 212-500-4500 office-chicago 200 South Wacker Drive, Suite 3100, Chicago, IL 60606, +1 312-279-9100 office-miami 218 NW 24th Street, Suite 327, Miami, FL 33127, +1 571-385-1686 linkedin http://www.linkedin.com/company/magnani-caruso-dutton instagram http://instagram.com/mcdpartners # current-page path /marketing/geo title AI Search Visibility & GEO description When customers ask AI, does your brand make the shortlist? MCD's AI Visibility Snapshot shows whether your brand appears, how it is represented, and who gets recommended instead. reviewed 2026-09-24 human-view https://www.mcdpartners.com/marketing/geo # offer service Generative Engine Optimization (GEO): helping a brand appear, be represented accurately and be recommended in AI answers entry-point AI Visibility Snapshot: a focused first look at the buyer questions that matter, across the AI platforms the brand's audience uses snapshot-includes A baseline across selected buyer questions and AI platforms; presence, accuracy, citations and competitive share of voice; examples of how the brand is represented; the priority gaps to investigate next deeper-assessment AI Visibility Audit (paid): expands the Snapshot into a comprehensive baseline and prioritized action plan pricing Custom-scoped to the site and category; most engagements start with the Snapshot team Strategy, copy, UX and development, as one integrated team request https://www.mcdpartners.com/marketing/geo#snapshot-request (name, work email, website, and optionally a question customers ask) # snapshot-measures presence Is the brand included in the answer? accuracy Is the brand represented correctly? citation Which sources support the answer? share-of-voice How often is the brand recommended? # method questions A defined set of real buyer questions, asked across multiple AI engines scoring Each response scored on presence, accuracy, positioning, depth and citation baseline Fixed and dated, so progress can be measured against it example-baseline One anonymized client, August 2026, before optimization, 49 questions: the brand led the answer on 96% of branded, 48% of competitive and 4% of problem-led questions # beyond-the-audit copy Creates and refines product information, comparison content, category guidance and answers to the questions customers ask ux Reorganizes pages, creates question-led experiences and redesigns information architecture so content is easier for people and AI systems to find development Works with the client's team or implements changes directly in the CMS, from structured data and content models to new templates and full digital experiences # outline ## When customers ask AI, does your brand make the shortlist? AI is becoming the front door to discovery. MCD's AI Visibility Snapshot shows whether a brand appears, how it is represented, and who gets recommended instead. MCD can then help strengthen the content, site experience and technology shaping what AI finds. ## Your SEO can be working while your brand disappears from the answer AI systems do not simply repeat the first Google result. They assemble answers from information they can understand, trust and cite, so clear content, consistent facts, useful site structure and credible sources all shape whether a brand is recommended. The snapshot reads four signals: - Presence: are you included in the answer? - Accuracy: are you represented correctly? - Citation: which sources support the answer? - Share of voice: how often are you recommended? ## Being known is not the same as being recommended In one recent anonymized client baseline (August 2026, before optimization, 49 selected questions), the brand dominated questions containing its name but nearly disappeared when buyers asked open-ended questions about their needs. Percentages describe captured AI responses, not customer behavior or market share. - Branded questions, from people who already know the brand: led the answer 96% of the time. - Competitive questions, from people comparing their options: 48%. - Problem-led questions, from new customers describing a problem: 4%. ## Beyond the audit. Into the content, experience, and code. Many GEO firms stop at analysis and a schema backlog. MCD's copy, UX and development teams can reshape the source material AI systems rely on, then work alongside the client's team or implement the changes directly. - We write what is missing: product information, comparison content, category guidance and answers to real customer questions. - We rethink how it fits together: reorganized pages, question-led experiences and redesigned information architecture. - We build it with you, or for you: from structured data and content models to new templates and complete digital experiences. ## Start with a snapshot. See where you stand. A focused first look at the buyer questions that matter across the AI platforms your audience uses. When a deeper assessment is needed, the paid AI Visibility Audit expands the Snapshot into a comprehensive baseline and prioritized action plan. Request an AI Visibility Snapshot: https://www.mcdpartners.com/marketing/geo#snapshot-request ## Straight answers - Is my brand showing up when customers ask AI about my category? Probably less than you think on unbranded questions, where the AI builds a shortlist. The snapshot measures whether you show up, how you're described and who is recommended instead. - Isn't this just SEO with a new name? No. SEO earns a ranking; GEO decides whether the AI names you in the answer above those rankings, which depends on whether a machine can read your content, resolve who you are and trust your facts. - What if the AI is getting my facts wrong? MCD builds canonical, consistent facts across your site and the sources engines read, so the AI has a correct version to draw from. - How fast will we see results? Content structure, schema and crawlability changes can show up as soon as engines re-read the site; what a model remembers from training moves on the engines' retraining cycle. MCD gives a dated baseline and honest timelines. - Do we have to rebuild our whole site? Usually not: the fastest wins often come from restructuring content you already own. When the architecture is holding you back, MCD can rebuild it. - How do you measure something inside ChatGPT? By asking the engines the real questions customers ask and scoring every answer against a fixed, dated baseline, with the receipts shown. - What does it cost? It's custom-scoped, and most engagements start with an AI Visibility Snapshot. A short call is the best way to get a real number. - Why MCD and not an SEO agency or an AI-visibility tool? A tool monitors visibility and an SEO agency advises on it; MCD brings UX, content and engineering under one roof to change the pages the AI answer is built from. ## See how we can help Email mnora@mcdpartners.com or chat with Megan Nora at +1 773-316-6284.