AEO and GEO: Use Your Own Data to Get Cited in AI Answers

How to use your own data to get cited in AI answers (AEO and GEO): start with the emails, reviews and service records your business already has. Most of that information has never been written up as a clear answer to a local question, and that is the gap I want to help you close.

How to use your own data to get cited in AI answers (AEO and GEO) starts with what answer engines can quote

Answer engines quote sources that state something specific and checkable that other pages do not already say. A small business's own information, like how it scopes jobs or which questions customers keep asking, is exactly that kind of material, and competitors cannot copy it.

ChatGPT, Google AI Overviews, Perplexity and Gemini build their answers from pages they can trust. A page that repeats what a hundred other sites say gives them nothing new to cite. A page that says how a Mascouche renovation contractor scopes a basement job, in plain sentences with a date and a named source, does.

AEO and GEO in plain terms

AEO and GEO both mean getting an AI tool to quote your business instead of someone else's. Answer engine optimization is shaping your content so a tool can pull a clear fact from your page and use it as an answer. Generative engine optimization is the broader label for the same work, aimed at any AI system that writes responses instead of listing links.

I tell business owners in Mascouche and Montréal not to get hung up on which term they hear. Either way, the job is writing clear, specific, factual content about your business so an AI has something simple and trustworthy to quote.

First-party data a Québec small business already has

First-party data is information you collect directly from your own customers and operations, and most small businesses already have plenty of it. You do not need a research budget. Start with what is sitting in your inbox and your files:

1. Customer questions from emails, calls and DMs
2. Reviews on Google and Meta platforms
3. Sales and service records showing what people actually buy
4. FAQ pages or receipts that reveal the recurring problems you solve

Put these together and patterns show up in the words people use and the needs they bring. That becomes the raw material for content AI tools can draw on when they answer local questions. Your process steps, the areas you serve and the real limits of what you do belong on the list too.

Documenting your data so it can be trusted and checked

Documenting your data means writing down how you collected it, when, and from how many customers or jobs. Raw numbers in a spreadsheet don't help anyone, but a documented finding gives both AI tools and people a reason to believe it.

Keep the note short. State the date range, the method and the scope next to the finding on your page. Only publish counts you can document yourself, and skip any claim you can't back up. Borrowed or vague statistics are a liability: if a tool or a reader can't trace a number to its source, it weakens everything else on the page.

When you can, link the finding to a page you control that shows where it came from. That gives AI systems and human readers a trail to follow.

Structured pages and schema that make a claim quotable

Structured pages make a claim quotable when the claim is stated in one or two plain sentences, with a named source, a date, and structured data that matches the visible text. A simple table helps too, since tools and readers both scan tables quickly.

Before adding any schema markup, I check that your hours, address, phone number and services say exactly the same thing everywhere. AI tools cross-check sources. If your website says you close at 5 p.m. and your listing says 6 p.m., the mismatch makes the whole citation look unreliable. I go through each field line by line, fix the conflicts first, and only then build the markup on information that already matches. This is a big part of how we approach SEO content writing at Social Influence.

Matching Google Business Profile, website and FAQ details

Google Business Profile, your website and your FAQ need to show the same facts, because answer engines usually look for agreement across more than one place. If the details conflict, the system has no reason to trust any one source, including yours. Four things need to line up:

1. Business name, exactly as registered, everywhere
2. Address format, including suite numbers and postal codes
3. Phone number, in the same format on your site, your profile and directories
4. Hours and FAQ answers that mirror your schema markup

Once these match, AI tools can confirm your facts instead of guessing. We cover the full setup in our Found on Google, cited by AI system.

Loi 25, Loi 96 and publishing data in French and English

Loi 25 and Loi 96 shape how a Québec business publishes its own data. Loi 25 governs personal information, and Loi 96 reinforces French as the language of business, so original-data pages need privacy care and a proper French version.

Under Loi 25, your published findings should never expose a customer. Report patterns and counts, not names, addresses or details that could identify someone, and keep a clear privacy policy that explains what you collect.

For Loi 96, I publish full French and English versions of key pages rather than a translated snippet, with the hreflang pair linking the two. Matching details in both languages means a tool finds the same facts whichever version it reads. An outdated or missing French page creates compliance headaches and gives AI tools conflicting information.

Testing whether ChatGPT, Google AI Overviews, Perplexity and Gemini cite you

Testing whether ChatGPT, Google AI Overviews, Perplexity and Gemini cite you means asking them the real questions your customers ask and recording what comes back. I do it on a regular schedule, much like checking an ad campaign.

My routine is simple:

1. Ask ChatGPT a question about the service or product.
2. Search the same question on Google to see whether an AI Overview appears.
3. Try Perplexity, since it shows its sources directly.
4. Run the same query in Gemini.

I note which tools mention the business, which ignore it, and whether the answers are accurate. Then I check referral traffic from these tools in GA4 to see whether people are clicking through. If you want a starting point, our AI visibility check runs through the same idea. None of this guarantees a citation, but it shows you whether your changes are being picked up.

Checklist: publishing your first original-data page

A first original-data page needs one clear question, a documented answer and a page you control. Run through this list before you publish:

1. Pick one clear question your data answers, nothing vague.
2. Show how you collected it: dates, location and method.
3. Put the main finding in the opening paragraph, in one or two plain sentences.
4. Add a simple table if it helps readers scan.
5. Name your business as the source, with the same name, address and category used on your Google Business Profile.
6. Publish it on your own website, not only on social media, in both French and English.
7. Make sure the FAQ and structured data match the visible text.

Start with one page, not ten.