2 min read · Updated
What’s true and what’s a myth about AI search, reviews and photos?
The short answer
Owners hear a lot of scary or shiny claims. Most of what helps is plain: matching facts, real photos, honest reviews and clear service pages. Here are six common myths, answered in plain English.
Will an llms.txt file get AI to pick me?
No. llms.txt is a small text file for AI tools. Google’s 2026 guide says you don’t need it, and ChatGPT and others rarely read it. It does no harm, so we add one for free. What actually helps is matching business details everywhere and clear service pages.
I heard structured data isn’t needed. Is that true?
It’s true that it isn’t magic — adding it won’t make AI pick you. But Google still recommends it as normal SEO. It’s a basic way to state your hours, address and services clearly so machines don’t get them wrong. It comes standard, at no extra cost.
Will stock photos hurt my ranking?
There’s no solid proof that they do. But customers trust real photos more, and real photos lead to more calls. Photos of your shop, sign, truck, crew and real jobs work best. A photo of a famous spot in town proves nothing.
Is a discount for a five-star review, or asking only happy customers, OK?
No. The FTC rule bans fake reviews and rewards tied to a positive (or negative) review, with penalties up to $53,088 per violation. Asking only happy customers isn’t written in that rule, but it can be a problem under the FTC’s Endorsement Guides, and Google clearly bans it — along with any reward for a review. That’s why every customer should get the same ask, with nothing in return.
Isn’t a monthly ranking report enough?
No. You can rank well and still get left out of the AI answer, and then the phone stays quiet. Count calls, booking taps, direction requests and how AI mentions you over months. AI answers change each time you ask, so one result is never a promise.
Do I need to learn tech or AI?
No. Take a breath. Snap real photos and send them in, let every customer get the same review ask (it’s automatic), note the questions customers ask, and approve things before they go live. That’s enough. We handle the tech.
Do it yourself
- If someone sells you llms.txt as the main fix, ask what else they’ll change.
- Swap one stock photo on your site for a real photo this week.
- Stop any discount or gift tied to reviews.
- Ask every customer for a review, the same way.
- Start counting calls each week, not rankings.
Want us to do it?
Growth plan: we report calls, not rankings
We run your text-backs and review requests and check how AI search describes you each month — then show you the calls, not just rankings.
$99/month · optional · cancel anytime
Not sure what you need? The free check looks at how your business shows up online.
Sources
- Google Search Central (2026): AI optimization guide. Published May 15, 2026. Optimizing for AI search is ordinary SEO; llms.txt, chunking, AI rewrites and manufactured mentions aren’t needed; structured data isn’t magic.
- eCFR · Federal Trade Commission (2024): Trade Regulation Rule on the Use of Consumer Reviews and Testimonials (16 CFR Part 465)
- Federal Register · Federal Trade Commission (2026): Civil penalty inflation adjustments. The 2026 adjustment: up to $53,088 per violation.
- Federal Trade Commission: Consumer Reviews and Testimonials Rule: questions and answers
- Google: Maps user-contributed content policy
Last checked . This guide is general information, not legal advice.