By Elizabeta Kuzevska, Co-Founder, Revenue Experts AI
Every company I work with has the same moment. The CEO walks into a marketing meeting and asks: "Do we show up when people ask ChatGPT about solutions like ours?" The room goes quiet. Someone eventually admits they've never checked. Then comes the harder question: "We're spending $200,000 a year on SEO. What's happening with AI?"
The silence that follows isn't embarrassment. Its realization. Most B2B companies have built their entire demand generation strategy around a distribution channel that's being replaced—and they have no visibility into what's replacing it.
The Data: This Shift Is Already Here
Let me be direct about what the research shows.
G2 surveyed over 1,000 B2B software buyers in August 2025. 87% said AI chatbots are changing how they research vendors. Half now start their buying journey in ChatGPT instead of Google—a 71% jump in just four months. ChatGPT is the preferred tool for 47% of buyers, nearly 3x any other LLM.
The 6sense Buyer Experience Report surveyed nearly 4,000 B2B buyers globally. 94% are using LLMs in their buying process. 95% of the time, the winning vendor is already on the buyer's Day One shortlist. The vendor buyers contact first wins 80% of deals.
Magenta Associates surveyed 300 UK senior decision-makers with B2B purchasing responsibility. 66% now use AI tools like ChatGPT, Copilot, and Perplexity to research and evaluate potential suppliers. 90% of these buyers trust the recommendations these systems provide. 85% have discovered a new supplier through an AI-generated response.
Gartner predicts traditional search volume will drop 25% by 2026 as users shift to AI chatbots for answers. This isn't a trend to watch—it's a structural change already reshaping how your prospects find solutions.
The Visibility Gap
Here's what makes this dangerous: most companies are invisible in AI conversations about their category, and they don't know it.
SEO optimized your content for Google's algorithm. AI engines work differently. They synthesize information from multiple sources, evaluate authority signals, parse structured data, and generate recommendations based on how well they understand your offering. A page-one Google ranking doesn't automatically translate to an AI citation.
The Magenta research found something striking: just five brands capture 80% of top AI-generated responses for any given B2B category. This creates winner-take-most dynamics far more extreme than traditional SEO ever produced.
The Technical Problem Many Companies Created
Originality.AI analyzed the robots.txt files of the top 1,000 global websites. 35.7% now block OpenAI's GPTBot—up from just 5% when it launched in August 2023. That's a seven-fold increase in one year.
Many companies implemented these blocks to protect their content from AI training, not realizing they were also blocking themselves from AI-powered search and recommendation systems. The irony: companies that blocked AI crawlers to protect their SEO investment may have made themselves invisible to the channel that's replacing traditional search.
A Simple Way to Find Out Where You Stand
I've audited hundreds of B2B companies' AI visibility. What I've learned is that the difference between companies AI recommends and companies AI ignores comes down to a handful of specific, fixable things. Let me walk you through exactly how to check—and what to do about it.
Step 1: Check If You've Locked the Door
Think of AI crawlers like delivery drivers. They come to your website, pick up information about your company, and deliver it back to ChatGPT, Claude, and Perplexity so those systems can recommend you to buyers. But here's the thing—many companies have accidentally put up a "No Entry" sign without realizing it.
There's a file on every website called robots.txt. It's basically a set of instructions that tells search engines and AI systems which parts of your site they can and can't access. The problem is that when AI tools started becoming popular, many IT teams and SEO agencies blocked them as a precaution—often without telling anyone in marketing.
Here's how to check in 30 seconds: Open a browser and type your website address followed by /robots.txt (for example: yourcompany.com/robots.txt). You'll see a text file. Look for lines that say "User-agent: GPTBot" followed by "Disallow: /" on the next line. If you see that, you've blocked ChatGPT from reading your site. Do the same search for "ClaudeBot" and "Google-Extended."
If any of these AI crawlers are blocked, that's your first problem—and often the biggest one. Your competitors who haven't blocked these crawlers are getting recommended while you remain invisible. The good news is this takes about five minutes to fix. Your web team simply needs to remove those blocking lines or change "Disallow" to "Allow."
Step 2: Check If AI Can Read Your Name Tag
Even if AI crawlers can access your site, they might not understand what they're looking at. Imagine walking into a trade show where some booths have clear signage explaining who they are and what they sell, while others just have product photos with no context. AI systems face the same challenge when they visit websites.
There's a behind-the-scenes language called Schema markup that helps AI understand your content. It's like adding subtitles to a foreign film—the content is already there, but Schema makes it understandable. Without it, AI has to guess what your company does, and it often guesses wrong or gives up entirely.
Here's the simple test: Go to Google and search for "Google Rich Results Test." Paste your homepage URL into the tool and run the test. You should see something called "Organization" in the results. Then test your main product page—you should see "Product" or "SoftwareApplication." If these don't appear, AI systems are trying to understand your company without a translator.
Adding Schema markup is a technical task, but it's not complicated. Any web developer can implement it in a few hours using standard templates. The investment is minimal, but the impact on AI visibility can be dramatic.
Step 3: Run the Reality Test
Now comes the part that matters most: finding out what AI actually says about you. This is where most executives get uncomfortable, because the gap between how they think they're perceived and how AI describes them can be substantial.
Open ChatGPT, Claude, Perplexity, and Gemini. Ask each one the same questions your buyers would ask. Start simple: "What is [Your Company Name] and what do they do?" If the AI doesn't recognize you or gives vague information, you have a visibility problem.
Then get more specific. Ask: "What are the best [your category] solutions for [your target customer]?" This is the question that matters for your pipeline. Do you appear in the top recommendations? Are you positioned accurately? Is the information current?
Finally, ask the comparison question: "Compare [Your Company] to [Main Competitor]." This reveals whether AI understands your differentiation. If the response is generic or inaccurate, buyers are getting a distorted picture of how you stack up.
What a Good Response Looks Like
When I audit companies with strong AI visibility, here's what I typically see. Ask ChatGPT for recommendations in their category, and they appear in the top five suggestions. The AI mentions specific features, approximate pricing, and the type of customer they serve best. When asked to compare them to competitors, the AI explains clear differences—not just generic marketing language, but actual positioning that helps buyers understand the tradeoffs.
One company I worked with, a mid-market CRM vendor, consistently appeared in AI recommendations with details like: "Best for B2B companies with 50-500 employees who need strong integration with marketing automation tools. Pricing starts around $50 per user per month. Known for implementation speed—most customers are live within 30 days."
That level of specificity doesn't happen by accident. It happens because the company made it easy for AI to understand them—through clear website content, proper technical markup, and consistent positioning across third-party sources like review sites and industry publications.
What Failure Looks Like
Contrast that with a competitor I audited in the same space. They had similar market share and actually ranked higher on Google for key terms. But when I asked AI about them, the response was: "I don't have detailed current information about their specific features or pricing. For an accurate comparison, I'd recommend checking their website directly."
That's the AI equivalent of being invisible. A buyer asking ChatGPT for help just got steered away from this company—not because the product is bad, but because the AI couldn't find reliable information to share.
When I investigated, the causes were predictable. Their website blocked AI crawlers. Their product pages were heavy on marketing language but light on specific, structured information. They had no Schema markup to help AI parse their content. And third-party sources rarely mentioned them with the kind of specificity AI needs to make confident recommendations.
The Pattern I See Over and Over
After hundreds of audits, the pattern is clear. Companies that appear in AI recommendations share five characteristics:
First, they let AI crawlers access their site. This sounds basic, but a third of major companies have accidentally blocked them.
Second, they use Schema markup to help AI understand their content—who they are, what they sell, who it's for, and what it costs.
Third, their website content is specific rather than generic. Instead of "industry-leading solution," they say "designed for manufacturing companies with 100-1,000 employees who need to reduce inventory costs." AI can work with specifics. It struggles with marketing speak.
Fourth, they publish comparison content that explains their positioning factually. Not "why we're better," but "here's how we differ." AI picks up on this and uses it to distinguish between options.
Fifth, they're mentioned consistently across authoritative third-party sources—review sites, analyst reports, industry publications. AI trusts recommendations more when multiple sources agree.
Companies that are invisible typically have the opposite profile. Blocked crawlers. No Schema markup. Vague product descriptions. Comparison content that's all about being "better" without explaining how. And sparse third-party coverage.
The Competitive Reality
Most companies discover something uncomfortable during their first AI visibility audit: their competitors are already appearing in AI recommendations, and they're positioned favorably. This isn't accidental. Some companies have figured this out, even if they don't call it AI optimization.
Remember what the 6sense data showed: 95% of the time, the winning vendor is already on the buyer's Day One shortlist. The vendor contacted first wins 80% of deals. If AI is shaping those initial shortlists—and the evidence says it increasingly is—then AI visibility isn't just another marketing channel. It's a matter of whether you make the consideration set at all.
The companies that will dominate the next decade of B2B marketing are the ones building for both Google and AI. The good news is that the fixes are straightforward. The bad news is that every week you wait, your competitors who have already made these changes are capturing the AI recommendations you should be getting.
What To Do Monday Morning
You don't need a six-month initiative to start. Here's what you can accomplish this week:
Day 1: Check your robots.txt file for AI crawler blocks. If GPTBot, ClaudeBot, or Google-Extended are blocked, ask your web team to unblock them. This takes five minutes to fix and has immediate impact.
Day 2: Run your homepage and key product pages through Google's Rich Results Test. Forward the results to your web team with a simple request: "We need Organization Schema on our homepage and Product Schema on our product pages."
Day 3: Run the reality test. Ask ChatGPT, Claude, and Perplexity the questions your buyers ask. Document what you find. This becomes your baseline.
Day 4: Run the same queries for your top three competitors. How do they appear compared to you? This competitive comparison often reveals who's already optimizing for AI visibility.
Day 5: Share the findings with your leadership team. The gap between how you appear and how you should appear makes the case for action better than any strategy deck.
The fifteen minutes you spend discovering your AI visibility gaps today could be worth millions in pipeline you're currently losing to competitors who show up when you don't.
Get Your Free AI Visibility Audit
Find out how your company appears (or doesn't) in ChatGPT, Claude, and Perplexity—and see how you compare to your competitors.
Sources
1. G2 Research (October 2025): "How AI Chat is Rewriting B2B Software Buying." Survey of 1,000+ B2B software buyers. learn.g2.com/ai-search-surging-for-b2b-buyers
2. 6sense (2025): "B2B Buyer Experience Report 2025." Survey of nearly 4,000 B2B buyers globally. 6sense.com/science-of-b2b/buyer-experience-report-2025
3. Magenta Associates (November 2025): "Search Forward: How AI is reshaping the B2B buyer journey." Survey of 300 UK senior decision-makers. fmj.co.uk/two-thirds-of-uk-buyers-now-use-ai-to-choose-suppliers
4. Gartner (February 2024): "Predicts 2024: How GenAI Will Reshape Tech Marketing." gartner.com/en/newsroom/press-releases/2024-02-19
5. Originality.AI (August 2024): "Websites That Have Blocked OpenAI's GPTBot – 1000 Website Study." originality.ai/ai-bot-blocking
Elizabeta Kuzevska is Co-Founder of Revenue Experts AI, specializing in AI Engine Optimization (AEO) for B2B companies. Revenue Experts AI has built over 1,000 AI automation systems and helps companies become visible when prospects search AI platforms. Courses about AI topics are available at onlinemarketingacademy.ai.