The 3 Biggest AI Visibility Mistakes

AI visibility mistakes are costing brands real revenue right now. A Bain & Company study found that 80% of B2B buyers now use AI tools during their purchase research, yet most brands have no strategy for how AI represents them. Getting this wrong is expensive. Here are the same three mistakes we see again and again.

Here's what they are — and how to fix them.

Mistake 1: Ignoring AI Search Entirely

This is the biggest one. 47% of brands have zero GEO strategy. They're treating AI search like a future problem while their customers are using ChatGPT and Perplexity right now.

Why this costs you

When a potential customer asks ChatGPT "what's the best [your category] tool?" and you don't appear, that customer finds your competitor instead. They never visit your site. They never see your pricing page. They make a decision based entirely on what AI told them — and AI didn't mention you.

Gartner predicts traditional search volume will drop 25% by 2026. LLM-driven traffic is up 800% year-over-year. The audience shift is already here.

How to fix it

1. Run an audit of what AI platforms say about your brand today. Ask ChatGPT, Perplexity, and Google AI the questions your customers ask.
2. Benchmark your visibility. Are you mentioned? Is the information accurate? Are competitors appearing instead?
3. Start with the five signs of AI invisibility to diagnose your specific gaps.

Mistake 2: Optimizing for Google Only

Even brands that do content marketing often optimize exclusively for Google's traditional search algorithm. They chase keywords, build backlinks, and track rankings — but never check whether their content actually gets cited in AI answers.

Why this costs you

Each AI platform behaves differently. ChatGPT uses parametric knowledge from training data. Perplexity uses real-time retrieval with citations. Google AI uses its search index plus LLM generation. Claude relies solely on training data. Content optimized only for Google's traditional algorithm misses three out of four major AI platforms.

How to fix it

1. Add schema markup. FAQ, Product, and Organization schema help all AI platforms parse your data correctly.
2. Write quotable content. Concise, definitive statements that AI can extract and cite directly.
3. Build citation-friendly content for Perplexity. Include statistics with sources, numbered lists, and clear headings.
4. Strengthen your brand entity for ChatGPT and Claude. Consistent naming, Knowledge Graph presence, and authoritative mentions.

Mistake 3: Not Monitoring AI Responses

Some brands run one check, see that AI mentions them, and assume the job is done. AI responses aren't static. Models get retrained. Knowledge cutoffs change. New competitors enter the training data. What was accurate last month might be wrong today.

Why this costs you

AI hallucinations are real. We've seen AI platforms state wrong pricing, confuse brands with competitors, cite outdated product features, and fabricate claims entirely. If you're not monitoring, you don't know what AI is telling your potential customers right now.

How to fix it

1. Set up regular monitoring — at minimum monthly, ideally weekly.
2. Track not just mentions but accuracy. Is AI saying the right things?
3. Act immediately on critical inaccuracies: wrong pricing, incorrect features, or competitor confusion.
4. Use a tool that automates monitoring across multiple platforms rather than checking each one manually.

The Cost of Inaction

HubSpot's 2026 marketing report shows brands with active GEO strategies see 40% more qualified inbound leads from AI channels. Deloitte projects AI-influenced purchase decisions will exceed $1.2 trillion globally by 2029. The brands that fix these three mistakes now will capture the audience that's already shifted. The brands that don't will wonder why their traffic keeps declining.

See our pricing plans for automated monitoring that catches these mistakes before they cost you customers.

Fix These Mistakes Today

Don't wait until the damage is done. Sign up for 99Visibility and get your first AI visibility audit. See what AI actually says about your brand, catch inaccuracies, and get specific recommendations to fix every gap.