None of these mistakes have anything to do with the quality of the underlying business. A great contractor, a great clinic, a great local shop can make every one of these mistakes and still do excellent work, while remaining functionally invisible to the AI systems increasingly making the recommendation for them. Here's what to check.
1. Blocking AI Crawlers Without Realizing It
The single most damaging mistake, because it's invisible until someone checks. A robots.txt file with an old "block all bots except Google" rule, or a security plugin set to block unrecognized user agents by default, can silently exclude GPTBot, PerplexityBot, and the rest. See the AEO technical checklist for the full list of crawlers to check for.
2. Inconsistent Business Information Across the Web
A business name, address, or phone number that's slightly different on the website versus Google Business Profile versus a directory listing (a suite number here, a different phone extension there) makes it harder for an AI system to confirm these all represent the same entity. See NAP Consistency in the AI Search Glossary for why this specific issue causes disproportionate damage relative to how small it usually looks.
3. No Schema Markup at All
A site with clean, human-readable content but zero structured data is asking an AI system to infer facts it could simply have been told directly. Organization schema, in particular, is a fast fix with an outsized impact.
4. Content That Only Describes Services, Never Answers Questions
A page that says "we offer roof repair, roof replacement, and roof inspections" tells an AI system what a business sells. It doesn't tell it anything about storm damage assessment, insurance claim navigation, or material comparisons, the actual questions customers ask before they ever search for a company. Low topical depth is one of the most common reasons a genuinely good business loses out to a more thoroughly documented competitor.
5. Treating AEO as a One-Time Project
Publishing a burst of AI-optimized content once, then stopping, misunderstands how these systems build trust. Authority compounds through sustained signals over time, not a single content sprint. AI platforms also change how they evaluate trust on their own schedule, which means a "set it and forget it" approach degrades even if nothing on the business's own site changes.
6. Letting Review Volume Stagnate
A page full of five-year-old reviews signals something different to an AI system than a steady, recent stream of detailed feedback. Review recency and volume are trust signals AI systems weigh directly, not just a display element for human visitors.
7. No FAQ-Formatted Content Anywhere
FAQ-structured content, marked up with FAQPage schema, is some of the easiest material for an AI system to extract and quote directly, because the question and answer are already paired and unambiguous. A site with none of this is making an AI system do extra inferential work it may simply skip in favor of a competitor that made it easy.
8. Burying Key Facts in Images, PDFs, or JavaScript-Only Content
A pricing table that only exists as an image, or a service description that only renders after a client-side script executes, may be invisible to a crawler even though it's perfectly visible to a human. If a fact matters, it needs to exist as plain, crawlable text somewhere on the site.
9. Neglecting the Google Business Profile While Chasing AEO Elsewhere
Google Business Profile data feeds both traditional local search and, increasingly, Google's AI-driven answers. A neglected, unclaimed, or inaccurate profile undercuts AEO work happening everywhere else, because it's frequently one of the first sources an AI system checks for a local business.
The Pattern Underneath All Nine
Every one of these mistakes comes down to the same root cause: making an AI system work harder than it needs to, or trust less than it could, to figure out who a business is and whether it's worth recommending. Fixing them is mostly about removing friction, not adding cleverness.
Want to know which of these apply to your business specifically? Get in touch and we'll check all nine, along with the rest of the technical checklist, against your actual site.