Is Your Business Legit? Check What AI Says Before Your Customers Do

Somewhere right now, a customer is typing "is [your business] legit?" into ChatGPT. It's going to answer. The only question is whether you've seen the answer first.

Spoiler: the AI doesn't just look at your website. It goes digging. Like a nosy neighbor with a search bar.

Quick words (one line each):

• Query fan-out: the extra mini-searches an AI runs behind the scenes to answer one question.

• Branded search: any search that includes your business name.

How the digging works

Kasra Dash watched an AI answer "is [company] legit?" and saw it run searches for "[company] reviews", "[company] address" and "[company] scam reviews" (16:25-17:26, Oct 20, 2026). He calls these query fan-outs and puts them in his top tier.

He also says AI looks at what other websites say about you, and if lots of them call you a scam, it'll repeat that (3:01-4:03).

Surfer found the same pattern: for "is [brand] reliable", the results were Reddit, Trustpilot and review sites (18:29-20:00, Sept 30, 2026).

Translation: your website is not the only witness. Time to meet the others.

Step 1: Ask the AI yourself

Open ChatGPT, Perplexity and Google (check the AI Overview at the top). Ask each one:

1. "Is [your business] legit?"

2. "Is [your business] reliable?"

3. "[Your business] reviews"

Screenshot every answer and save the list of sources it cites.

Step 2: Run the fan-out searches by hand

Google these, one at a time:

1. [your business] reviews

2. [your business] scam

3. [your business] address

4. [your business] complaints

Write down the top 10 results for each. These are the same kinds of searches Kasra Dash watched the AI run. Yes, you're about to Google yourself. No, it isn't vanity. It's research.

Step 3: Sort what you find

Make three columns:

1. Good: positive reviews, accurate listings. Leave them alone.

2. Wrong: old address, wrong phone, wrong services. Fix these first.

3. Bad: complaints, scam threads, angry reviews. Respond to these.

Step 4: Fix the wrong stuff

Claim every listing you can and update it so the name, address, phone and services match your website exactly.

If AI mixes you up with a similar name, Nathan Gotch's fix works: publish content that spells out the difference (13:39-14:20, Oct 19, 2026).

Step 5: Answer the bad stuff, calmly

Neil Patel says reply to bad reviews (7:18-7:48, Oct 8, 2026). One calm, helpful reply per complaint. Say what you did to fix it. No arguing.

Future customers read your reply more than the complaint. Be the grown-up in the room.

Step 6: Bury bad news with good news

Gotch says AI wants a consensus about the brand, and reviews are how you build it (46:14-46:54). Ask happy customers for reviews on the same sites that showed up in Step 2. More real good reviews on those exact pages changes the consensus.

Never write fake reviews. It's dishonest.

Step 7: Check every month

Neil Patel says track mentions and review tone like you track rankings (7:18-7:48). Put a monthly reminder on your calendar and repeat Steps 1 and 2. Compare your screenshots to last month.

Do this today

1. Ask ChatGPT "Is [your business] legit?" and screenshot the answer.

2. Google "[your business] reviews" and "[your business] scam" and save the top 10 results.

3. Fix one wrong listing.

4. Reply to your oldest unanswered bad review.

Sources

• Kasra Dash ? I Ranked 32 AI Search Factors S to F (2026-10-20)

• Surfer Academy ? The 90-Day SEO Plan For A Brand New Website (Google + AI Search) (2026-09-30)

• Neil Patel ? The 5 Rules of AI SEO for 2027 (2026-10-08)

• Candour Agency ? AI search with Nathan Gotch - Citations vs rankings, GEO vs SEO demand and AI SEO for dummies (2026-10-19)

Don't worry if this seems like it's a pain in the ass for someone who doesn't build websites. That's because it is. The good news: just click the link below, pull the trigger, and we'll take care of the rest.