Get named, quoted, and cited inside ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude when your buyers ask an AI assistant for a recommendation. Roughly one in five buyer research sessions now starts inside an AI, not a search bar.
Answer Engine Optimization is the practice of getting your business named as the answer inside AI assistants. It matters now because buyer behavior is shifting faster than most Greensboro firms have adjusted for.
Buyer research sessions in the Triad now start inside ChatGPT, Perplexity, or Google AI Overviews.
Of Google searches for local service queries now return an AI Overview above the blue links.
Blue link clicks earned when an AI answers the buyer directly and never sends them to a website.
If a Greensboro buyer asks ChatGPT for the best commercial roofer, best estate planning attorney, or best HVAC company and your firm is not one of the three names returned, the lead is lost before it ever reaches your website. As a Greensboro performance marketing agency, we built AEO as a standalone service because that gap is now big enough to demand its own program. If you want the full method first, read our answer engine optimization breakdown of how models pick who to cite.
Nine interlocking workstreams that make your firm the answer AI assistants give when buyers ask.
A 50-prompt library run across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude. We measure mention rate, citation rate, position in the answer, sentiment, and benchmark against your three closest Greensboro competitors.
Wikipedia and Wikidata presence work, Knowledge Graph cleanup, Organization and Person schema, sameAs links to LinkedIn, Crunchbase, and Google Business Profile. LLMs cite entities they can identify with confidence.
LocalBusiness, Service, FAQPage, HowTo, Article, and Organization JSON-LD deployed sitewide. Every page becomes machine-readable, which is how models decide what to quote.
Definitional first sentences under every H2, TL;DR blocks, FAQ modules, comparison and versus pages, honest pricing ranges, and quotable stat blocks. Content built to be lifted verbatim into an AI answer.
We publish and maintain both files at your domain root so AI crawlers get an authoritative summary of who you are, what you sell, and which pages matter most.
Google Business Profile review cadence, local news pitches, industry association directory placements, roundup inclusions, and podcast outreach. LLMs weight what other trusted sites say about you more than what you say about yourself.
Explicit allowlisting of GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Applebot-Extended, and CCBot in robots.txt. Blocking AI crawlers guarantees you will never be cited. Most firms are accidentally blocking at least one.
A 30-minute weekly operator cadence runs your prompt library, logs mention and citation deltas, flags competitor movement, and ships one high-leverage fix per week. Trends beat one-time audits.
Mention rate delta, new citations won, competitor benchmark movement, GA4 AI-referral sessions, Search Console question-query patterns, and the next 30-day plan. Tied to pipeline, not vanity metrics.
Transparent Pricing
Month-to-month, no long-term contracts. Every tier includes reporting tied to real AI citations, not vanity metrics.
Owner-operated firms, one city focus
Most popular for growing service firms
Buyers are asking ChatGPT, Perplexity, and Google AI Overviews for a recommendation right now. Let's make sure your Greensboro firm is the one they name. Pair AEO with our organic SEO service for compounding results.
A growing share of research now happens inside an answer rather than on a results page. Someone asks an assistant what to look for in a fiduciary advisor, or which questions to ask a contractor before signing, and gets a synthesized response naming a few sources. If your firm is not in the material those systems draw from, you are absent from the shortlist stage entirely, and no amount of ranking on page one recovers a buyer who never reached a results page.
This suits businesses whose buyers ask comparison and qualification questions before they ever contact anyone. Professional services, healthcare, financial advice and considered home projects all show that pattern. The work is not tricking a model; it is publishing genuinely clear, verifiable, well structured answers to the questions your buyers ask, in a format that a retrieval system can lift cleanly.
It also rewards firms with real credentials and real specifics. Assistants weight material that is attributable, internally consistent and corroborated elsewhere. A named practitioner explaining a process with concrete numbers gets cited; an anonymous page of adjectives does not.
The work splits into finding out what is currently said about your category, making your material retrievable, and then monitoring citation behavior over time.
We assemble the realistic set of questions your buyers ask assistants, run them across the major systems, and record what comes back: which sources are cited, which competitors are named, what claims are being made about your category, and where the answers are simply wrong.
Consistent naming, credentials, service definitions and location data across your site and the third party sources that describe you. Retrieval systems reconcile entities across sources, so contradictory descriptions of who you are dilute every mention you have.
We publish material structured to be quoted: a direct answer in the opening sentences, then the reasoning, then the qualifications and edge cases. Statements carry sources, numbers carry context, and every claim is one you would defend in a meeting.
We re-run the prompt set on a schedule, track whether you appear and how you are characterized, and correct the underlying source material when a system describes your services inaccurately.
This discipline is young and the measurement is imperfect. We report what is real and label what is directional.
How often you appear as a named or linked source across the questions we track, compared with the competitors that appear alongside you. This is the closest available equivalent to rank tracking, and it is the primary number.
Whether assistants describe your services, coverage and specialties correctly. Being cited inaccurately can cost more than not being cited, and it is fixable once identified.
Direct visits attributed to AI interfaces. The figure understates reality, since many assistant conversations end without a click, so we treat growth in trend as the signal rather than the absolute number.
A simple question on your intake form. Crude, but it is currently the only way to catch the buyer who arrived because an assistant recommended you and then typed your name into a browser.
Retrieval draws from crawled content, so classic technical and quality work is the precondition for citation.
Original data, worked examples and named expertise are what get quoted rather than paraphrased.
Third party corroboration strengthens how confidently a system describes and recommends you.
No, and no honest provider can. What we can do is make your material the clearest, best sourced answer available on the questions your buyers ask, then track whether citation share improves.
There is overlap in the foundations, but the outputs differ. Search rewards a page that satisfies a query; retrieval rewards a passage that can be lifted and trusted. That changes structure, specificity and sourcing.
Corrections to how you are described can appear within weeks once the source material changes. Building genuine citation share across a prompt set is a two to three quarter effort.
It helps machines parse you correctly, and we implement it thoroughly, but it does not substitute for substance. Marked up thin content stays thin.
We identify the source material feeding the error, which is usually an outdated directory, an old page of yours or a third party description, and correct it. Most inaccuracies trace back to something fixable.