Prompt and answer research
The questions buyers actually ask, who gets named today, which sources the engines lean on, and the gap between that and you.
More of your customers are asking an AI instead of scrolling results. If it does not know you exist, or gets you wrong, that customer is gone before they ever saw your site.
Answer engine optimization (AEO), also called generative engine optimization (GEO) or AI search optimization, improves how a business is named, cited, and described in AI-generated answers from ChatGPT, Perplexity, Google AI Overviews, and similar systems. The work is clear service pages, consistent facts about the business everywhere it appears, direct answers to the questions buyers ask, evidence that supports the claims, and monitoring of what the engines actually say.
The questions buyers actually ask, who gets named today, which sources the engines lean on, and the gap between that and you.
Name, services, locations, people, and proof made identical across your site, structured data, profiles, and directories.
Direct answers to buyer questions, each tied to evidence, written so an engine can quote them without guessing.
A fixed set of prompts checked on a schedule: named, cited, absent, or wrong, and which sources were used.
The high-intent questions for your category, what the engines answer today, named competitors, and the sources behind each answer.
Structured data, crawler access, canonical pages, and one consistent set of facts about the business.
The direct answers, comparisons, and proof needed to close the gaps, plus the third-party sources worth earning.
Repeated measurement of naming, citation, accuracy, and any AI referral traffic, in plain language.
SEO earns visibility in search result lists. AEO and GEO are two names for the same thing: earning visibility inside the synthesized answers AI systems produce. They overlap heavily, because both depend on clear, crawlable, well-supported content.
No. Models and retrieval systems change and no agency controls them. We can improve the clarity and evidence available to those systems and measure whether what they say about you changes.
We fix a set of relevant buyer prompts and record, on a schedule, whether the business is named, cited, absent, or described inaccurately, along with the sources used and any measurable AI referral traffic.
Sometimes. First we find whether the problem is access, inconsistent facts, weak service pages, missing direct answers, or too little proof. Content follows the gap, not the other way around.
When the AI answer names you, the call arrives half-convinced. Something still has to pick up.
10DLC Under every text
If it is not you, or it gets you wrong, send us the answer. We will show you what it read and what it missed.
Tell us what’s breaking