AEO Services in New York

Generative engine optimization is the work of influencing how a large language model describes your business when someone asks about your category.

The difference from answer engine optimization is scope. AEO asks whether your page gets cited. GEO asks what the model says about you whether or not it cites you, which includes the sentence it writes describing your company, the competitors it names alongside you, and whether it recommends you at all.

That distinction matters commercially. A buyer asking ChatGPT for the best web development company in New York gets a short list. Appearing on that list is worth more than ranking fourth in Google, because the list has three names on it rather than ten blue links.

What generative engine optimization work involves:

• Building topical depth so a model has enough substance about you to generate a meaningful description
• Establishing consistent entity information across your site and third-party sources, so the model is not reconciling contradictory facts
• Earning citations and mentions on sources the model already trusts
• Making sure your own site states plainly what you do, who you serve and where, in language a model can lift
• Monitoring what models currently say about you, which is the baseline nobody measures before starting

The last point is the one most businesses skip. You cannot tell whether generative engine optimization worked if nobody recorded what the models said about you beforehand.

AEO is not a rewrite. It is a set of structural changes applied to content that already exists, plus new content built to answer questions the existing content does not.

The work, in the order we do it:

• Baseline measurement. Record what AI systems currently say about the business, which queries in the category trigger AI answers, and who is being cited in them today.
• Answer-first restructuring. Rewrite key sections so each one opens with a direct, complete, standalone answer. A sentence that only makes sense in the context of the paragraph above it cannot be quoted.
• Schema implementation. FAQPage, Article, Organization and Service markup so machines can identify what each page is and what it asserts.
• Question coverage. Build content for the questions buyers actually ask, sourced from People Also Ask, sales calls and support tickets rather than guessed.
• Entity consistency. Make the same facts about the business true and identical everywhere they appear, on the site and off it.
• Evidence and citation. Attach sources, figures and dates to claims. Models favour content whose claims can be verified.
• Crawlability for AI agents. Confirm the AI crawlers can reach the content, including llms.txt where appropriate.
• Ongoing monitoring. Track citations and mentions over time, because the answer changes as models update.

The technical steps usually need developer time. Where that is the case we handle it alongside our web development in New York work rather than handing you a specification and leaving you to find someone.

KONE is a global elevator and escalator manufacturer. In the UAE the brand was strong offline and weak in search, with high-value B2B keywords underperforming and competitors capturing commercial enquiries.

GO-Globe ran a combined SEO and AEO audit. The AEO baseline came back at 34 out of 100, classified as underperforming. The specific gaps were missing service landing pages, weak page structure and metadata, slow mobile performance, limited authority at 612 referring domains, and no AEO structure at all for ChatGPT and Gemini visibility.

What was delivered:

• 90 to 110 hours of technical SEO recovery work
• 30 to 40 AI-ready FAQ blocks, built so each answer stands alone and can be quoted
• One UAE master blueprint, structured for reuse across five regional markets

The AI-ready FAQ block is the core AEO deliverable and it is worth explaining. Each block pairs a question a buyer actually asks with an answer written to be complete on its own, marked up in FAQPage schema. That combination is what allows an answer engine to lift it directly.

The category is new enough that capability varies enormously and nothing external distinguishes a specialist from an SEO agency that added a page last quarter.

Six questions that separate them:

• What did the models say about my business before you started? An agency that cannot show you a baseline cannot prove anything later. This is the single most useful question to ask.
• How will you measure success, specifically? If the answer is organic traffic, they are selling SEO with a new label. AEO measurement is citations, mentions and share of voice.
• Which engines are you optimising for? AI Overviews, ChatGPT, Perplexity, Gemini and Copilot behave differently. "AI search" as a single undifferentiated target is not an answer.
• Show me a page you have made citable. Ask them to point at the specific sentences built to be quoted, and explain why those and not others.
• What happens when the models change? They will. Ask what the monitoring and revision cycle looks like and what it costs.
• Is any of this guaranteed? Nobody can guarantee a citation in an AI answer, and anyone who does is either misunderstanding the systems or misrepresenting them.

We are not the only competent choice, and for some businesses AEO is not yet the right priority. If your category rarely triggers AI answers we will say so, because selling you a programme that cannot demonstrate value is a short relationship.