Your team can use ChatGPT for the machine half of AEO, but not the human half. It can draft schema, first-pass FAQs, an llms.txt file and question lists. It cannot know your buyers, earn proof across the web, verify what AI says about you or close the sale. Decide who owns each half before you start.
What parts of AEO can ChatGPT do for you?
ChatGPT can speed up the repeatable, text-heavy parts of AEO, as long as a person checks the output.
- Drafting JSON-LD schema from a clear list of your business facts.
- Writing a first pass of your llms.txt file.
- Brainstorming buyer questions for query fan-out analysis.
- Turning your real answers into clean FAQ drafts.
- Reformatting pages into bottom-line-up-front structure.
Each of these saves hours. Each also needs a human to confirm that facts are correct, because a model will write a confident sentence even when it is wrong.
What parts of AEO need a human?
The parts that depend on judgment, relationships and proof need a human.
A human knows what buyers say on the phone, which objections come up and which questions never appear in a keyword tool. A human publishes proprietary statistics and frameworks, which must come from your real work. A model cannot invent them, and you should never fabricate them. A human earns press, reviews and directory listings. A human also checks what AI says about your business and corrects the record when it is wrong.
These are the heart of Citation & Corroboration and Algorithmic Alignment in Match Protocol™. They decide the Recommended stage, which carries 35% of the Match Protocol Score™.
Why can't ChatGPT measure how ChatGPT recommends you?
Because a chat where you name your business is not a buyer conversation.
Ask ChatGPT about your company and it tells you what it says when asked about you. That is not the same as whether it names you when a buyer asks about the problem. The test that matters is blind: questions that never mention your business, run across ChatGPT, Google AI Overviews, Perplexity and Gemini.
That is what the score does, with up to 32 blind buyer conversations per business. Many businesses are never recommended at all, and their owners likely have no idea.
What happens after AI sends the buyer?
After the referral, speed and skill in the sales conversation decide the outcome.
Ahrefs reported in June 2025 that AI search visitors were 0.5% of its traffic but 12.1% of its sign-ups, converting 23 times better than organic. That buyer is warm. If the site is slow to answer and the follow-up is weak, you waste the best traffic you will get.
This is the Human Handoff layer: AI referral tracking, human-led sales copy and conversion rate optimization. It is the layer most AEO work skips, and the one that decides whether a recommendation turns into revenue.
What risks come with leaning on ChatGPT alone?
The main risk is publishing confident text that no one checked.
Models can state wrong prices, services or credentials in a calm voice. If that text goes into your schema or FAQs, you have taught the machine something false about your own business. Generic copy has a second cost: it sounds like every competitor, so an engine has no reason to prefer you.
Use the model to draft and a person to decide. That one rule removes most of the risk.
There is also a measurement cost. If your team publishes changes but never tests the engines with blind buyer questions, you cannot tell which change helped. Teams that skip testing tend to repeat the same fixes and wonder why nothing moves.
When should you do it in-house and when should you hire it out?
Do it in-house if you have a technical owner with time and a way to measure results. Hire it out if you do not.
The in-house version works when one person can edit your website and another knows your customers' questions. It stalls when no one owns it, when the work stops at the machine half, or when no one is testing what the engines actually say.
The done-for-you version is a six-month Match Protocol™ engagement covering all five layers. It carries the guarantee "Top Recommended or You Don't Pay" and is built for businesses with $500K+ in annual revenue. The AI search optimization page lays out the scope.
Frequently asked questions
Can ChatGPT write my schema markup?
Yes, as a first draft. Give it accurate facts about your business and ask for JSON-LD. Then validate the markup and confirm every detail against your real services, hours and contact information before publishing.
Can I publish AI-written FAQ answers as they are?
Not without a human pass. Generic text gives engines nothing distinctive to quote and may state wrong facts. Start from your real answers, add specifics only you know, and review each one for accuracy.
Who on my team should own AEO?
Pick one owner who can edit the website, and pair that person with someone who knows what customers actually ask, such as a salesperson or the owner. Without a single owner, the work usually stalls after the first fixes.
Next step
Split the work the right way, starting with a clear baseline. Book Your Match Protocol™ Strategy Session or Get Your Match Protocol Score™.
Clint Rogers is the founder of Modern Asset Lab and the developer of Match Protocol™.
