Digital Solutions Strategist & Account Manager | SMB Growth Partner | Google Certified | Digital Marketing Solutions for Local SMB Success (Residential & Commercial) | Digital Marketing for the Developing AI Era
June 13, 2026
Simple Remedy: "Give AI the information. Earn the recommendation!"
"AI is lying." AI is just WRONG!" I hear that a lot lately. I've experienced terrible answers myself from the new chatbox in Google Gemini.
Devastating!
But after hundreds of AI searches on behalf of businesses, I'm coming to a different conclusion: AI usually isn't lying.
It's often just not properly informed.
Or, it's taking misinformation out there to create its own recommendation.
Either way, you need to take control of the AI narrative about your company as best you can.
If your business isn't being cited, mentioned, recommended, or even considered in AI-generated answers, it is not likely to be because AI dislikes your business or prefers a competitor.
It may simply be because AI cannot find enough clear, authoritative, citable information about you. Or, maybe there's a lot of questionable inaccurate reviews and/or competitors blogging nonsense about you.
AI can only work with what it can find.
Have you given AI enough information about your company to make an informed recommendation? Does AI really understand who you are?
AI doesn't optimize for just for "content". It optimizes for understanding. And understanding is built from evidence.
So the question becomes: "What body of evidence do I need to create so AI understands my business the way I want it to be understood?"
What you probably need to provide as "good evidence" for good visibility and AI understanding:
- An AI-readable website for LLMs (Large Language Models)
- LLM-friendly website structure and technical SEO as the base
- Synchronization and consistency everywhere you appear
- More FAQs
- More case studies
- Better service pages
- More positive reviews
- More project examples
- Clearer explanations of what makes your business different
Here's an example:
Claim: "We are the leading roofing company."
AI can't really do much with that. But if you instead provide:
25 years in business
4,800 completed roofs
GAF Master Elite certification
2,100 Google reviews averaging 4.9 stars
340 documented hail claims
Service across 22 ZIP codes
10-year workmanship warranty
Now AI has concrete facts it can cite. Even if it doesn't repeat every number verbatim, those details strengthen the confidence of its summary because they're verifiable signals rather than marketing slogans.
Note, too, that providing case studies helps demonstrate expertise. Actual company experience and results help establish authority in your field. Case studies provide specific examples of experience and real-world results in a way that service and technical descriptions alone cannot.
Both detailing your company experience and publishing projects are important, but factual case studies often provide the evidence that helps search engines, AI systems, and potential customers understand why they should choose your company.
Don't forget your goal is to be the "best answer to a customer query". Some questions are not about products and services, but about reputation, "are you a good fit, why should I use you? or, is it true that... "
AI is trying to answer the customer's question, not promote the company's preferred message.
The shift from traditional marketing is that the best AI-optimized companies won't be the ones with the most content. They'll be the ones that answer the most important customer questions honestly and completely. Those questions can be about your products and services, but also can ask about a lot more.
It pays to understand what your customers' hard questions are. If your website doesn't answer your customers' hardest questions, AI will find someone else who does.
Every unanswered customer question creates an "evidence gap". AI fills evidence gaps with the best information it can find, and it's not necessarily information from you.
So in summary: Inform AI, give evidence to AI, and enable AI to understand you as you wish to be understood.
Example of indexing and citation speed by Google and its AI search engine, Gemini:
Google cited my blog "Is AI Hurting the Bottom Line for Many Businesses?" in five days. This was the AI summary indexed, below, found and cited five days later. It was posted June 11, 2026 and this is a citation generated by Google on June 16, 2026.
What this tells us is that AI takes no time at all in "learning" from content added to a business brand. Get started on updating your content to properly inform AI Search Engines today!
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