Built to be understood, and discovered, by AI search (AEO)
Search moved into AI answers, and most local businesses are invisible there.
We structure your content so assistants can read and trust it.
Then your business is easier to understand and reference in your market.
A growing share of searches now end in an answer, not a list of links. Being the source that answer is built from is a different job than ranking.
What it is
When someone asks ChatGPT, Gemini, Perplexity or Google's AI Overviews for a recommendation, the model assembles an answer from sources it can parse and trust.
Making your business machine-readable: clean structured data (LocalBusiness, Service, FAQ, Breadcrumb), an llms.
Making your business consistent: identical name, address and phone across your site, your Google Business Profile, directories, and social.
Making your business citable: question-shaped content, clear entity definitions, and third-party mentions and reviews that corroborate what your own site claims.
AI answer preview
AI answer preview
How it works
01, Visibility baseline
We prompt the major assistants with the questions your customers ask and record what they return today, who gets named, what sources they lean on, and where you are absent.
02, Entity and schema work
Structured data across every page, consistent entity signals, llms.
03, Answer-shaped content
Pages and FAQs written to answer one question completely, in plain language, with the specifics, service, city, constraint, models need to match intent.
04, Corroboration and re-check
Reviews, directory presence and external mentions that back up your claims, then we re-run the same prompts monthly to track direction.
What you get out of it
In plain terms: AEO and AI search visibility, structured data and answer-shaped content so ChatGPT, Google AI Overviews, Gemini and Perplexity can find, understand and cite your business.
- A measured baseline, You know what the major assistants currently say about your category and your business.
- A machine-readable site, Schema, structure and consistency that both AI systems and traditional search benefit from.
- Content that answers, Pages built around real questions, which tends to help conventional rankings at the same time.
- Tracked direction, Monthly re-checks on the same prompt set, so change is observed rather than claimed.
Real example
Local intent, AI answers
Queries like "best plumber in McAllen" or "who can install a fence in Mission TX" increasingly return an assembled answer.
Common questions
How can my business appear in AI search results?
By being legible, consistent and corroborated. Assistants build answers from structured data, a crawlable site, matching business information everywhere you are listed, real reviews, and pages that answer the question directly. We work on those inputs and report what the assistants actually return each month. No one controls the output.
Can you guarantee ChatGPT recommends me?
No. Nobody can, and anyone who says otherwise is selling something. We control legibility, consistency and corroboration, the inputs, and we report honestly on the outputs.
Is AEO different from SEO?
It overlaps heavily. The difference is that AEO optimizes for being extracted and cited, not for holding a position in a list.
Is this worth doing yet?
The work is the same work that improves conventional search, so it pays for itself either way. The upside is the part that is uncertain.
How do you measure it?
A fixed prompt set run monthly across the major assistants, plus referral traffic from AI sources where it is reported.
Scale Systems Growth Audit
We'll review how customers currently find you, contact you and what happens after they become a lead.