How do you boost conversion rates by increasing your AI visibility?

Information is now the new commodity. Click-through-rates are decreasing across informational-only websites. Answers are being served to users even before they get to the website where AI pulled the information from.

This creates a new question for business owners:

How do I make sure AI systems understand my business, represent it correctly, cite the right pages, and send qualified people to my website when they are ready to act?

Even more important, is my website even relevant and useful in this AI-driven era? Is conversion possible and is SEO even relevant at this point? These are all fair questions, and I'll try to be as clear as possible on what to expect for now.

Let's start with the concept of AI visibility. AI visibility is not only about being mentioned inside a chatbot. A mention alone does not pay the bills. AI visibility becomes valuable when it helps a real person trust you, understand your offer, and take the next step. That next step may be booking a call, requesting a quote, buying a product, reserving a hotel room, downloading a guide, or contacting your team.

This is why the conversation around SEO needs to become more practical. The goal is not to chase every AI trend. The goal is to build a website and content system that AI can understand, humans can trust, and customers can act on.

Search is becoming answer-first

Traditional SEO was built around traffic. You created content, ranked for keywords, received clicks, and tried to convert those visitors.

The new search environment is different. AI systems often answer the question directly. They summarize products, offers, competitors and more using advanced LLM models. These models compare options. They explain pros and cons. They cite sources when they want to. Sometimes they do not cite sources at all. Sometimes they cite the wrong source. Sometimes they answer confidently with outdated or incorrect information.

This matters because websites are no longer only competing for rankings. They are competing to become part of the answer.

Generative Engine Optimization, or GEO, is the name often used for this new discipline. GEO means improving your content so that generative AI systems can understand it, trust it, and include it in generated answers. Traditional SEO asks, “Can I rank?” GEO asks, “Can I be used as a source?”

The original academic paper on GEO described this shift as a new search paradigm where generative engines synthesize answers from multiple sources, instead of only showing users a ranked list of links. The paper also found that specific content changes, such as adding citations, statistics, and authoritative language, could improve visibility in generated answers.

Source: GEO: Generative Engine Optimization

A search result page gives the user many options. A chatbot answer compresses the options. It may mention three brands, five products, or one recommendation. It will depend on the prompt sent by the user. And this is where it gets messy. If the user is doing product discovery through AI, the chatbot will surface different products to different people by reading all the variables in context. These variables include past conversations, instructions given, location, plug-ins enabled and so forth. A single "AI visibility score" is really meaningless without context. We need to deeply understand how it is measured. Are you testing AI answers from all possible angles, locations and across time as in time-series analyses? This is where it gets interesting. Chatbots have the tendency to keep the user inside the app, and informational-only websites such as news or academic repositories might struggle to receive as much traffic as they had in the past. Therefore, as a business owner, it is critical to understand on which queries are users coming from, and in which customer-facing contexts are people arriving to your site for your product. Also, AI responses such as ChatGPT are generated using a mix of trained information (which might be outdated), web search crawlers and live search requests. This is why it's super important to review AI answers in accuracy and precision. If your business is included but described wrongly, the damage can be worse. You may appear, but in the wrong way.

AI visibility needs to be connected to conversion rates by linking it to truthfulness, accuracy of the information generated, and the amount of mentions. While we cannot control what AI will say exactly and the moment where AI crawlers trained the LLM models, we can control that everything that is being mentioned about your brand, product and pricing is now accurate and updated. When you work with me, I make sure your business goes through a rigorous auditing process on how AI mentions your brand and trust even before the user lands on your website.

Clicks are becoming harder, but more valuable

One of the biggest mistakes businesses can make is assuming that fewer clicks means websites are less important.

The opposite may be true.

Research from Pew found that Google users who saw an AI summary were less likely to click on traditional search results than users who did not see an AI summary. In Pew’s analysis, users clicked a traditional search result in 8% of visits where an AI summary appeared, compared with 15% of visits where no AI summary appeared.

Source: Pew Research Center on Google AI summaries and clicks

This is bad news for websites that depend on broad informational traffic. But it does not mean websites are dead. It means the role of the website is changing. In fact, websites are more important than ever because that's where AI crawlers pull all the information from.

Many pages are experiencing lower traffic because their value was also relatively low. Your website must be constantly optimized, improved and provide a higher-value proposition to your users such that they prefer to be there instead of AI. It must give something that AI simply cannot do.

For example, well-researched articles, clear product documentation, custom website recommendations and grounded information is more valuable than AI generic answers. People that stay in your website and even discover it using AI might be already informed about your service and product, just to build more trust and a more human connection through your own authentic content. With a proper AI strategy, visitors who do arrive may be more informed. They may have already compared options. They may have asked AI for recommendations. They may have seen your brand cited. They may arrive with a clearer question and stronger intent.

Adobe Analytics data reported by Reuters in June 2026 showed that U.S. shoppers referred by large language models generated more revenue per visit, converted at a higher rate, and spent more time on retail websites than non-AI-referred shoppers.

Source: Reuters on AI-referred shoppers and conversion

That changes the role of the website.

The website is no longer just the place where awareness begins. Awareness may now begin inside an AI answer, a LinkedIn post, a YouTube video, a Reddit thread, a podcast, or a comparison generated by a chatbot.

The website becomes the place where interest turns into action.

What are crawlers, and why do they matter?

To understand AI visibility, we need to understand crawlers.

A crawler is an automated bot that visits web pages. Search engines have used crawlers for decades. Googlebot visits pages so Google can index them and show them in search results. Bingbot does the same for Bing.

AI crawlers are similar in appearance, but their purpose can be different.

Some AI crawlers collect public web content that may be used to train future language models. These are training crawlers. Examples include GPTBot from OpenAI and ClaudeBot from Anthropic.

Other bots help power live AI search or user-triggered browsing. These are not exactly the same thing as training crawlers. OpenAI, for example, lists different crawlers and user agents, including GPTBot, OAI-SearchBot, and ChatGPT-User.

Source: OpenAI crawler documentation

This distinction matters a lot.

A business may want to block training crawlers from using its content for future model training, but still allow search-related AI systems to cite its current pages. Another business may want maximum discoverability and allow both. Another may want old content blocked, but current commercial pages accessible.

There is no single correct answer. The correct answer depends on the business model.

A publisher may think differently from a hotel. A SaaS company may think differently from a university. A legal firm may think differently from an e-commerce store. A documentation website may think differently from a local service business.

But every business should at least know what is happening.

• Which bots are visiting the site?
• Which pages are they crawling?
• Are they crawling old prices, old products, or old events?
• Are they receiving current content or outdated content?
• Are they sending referral traffic back to the website?

This is where AI crawler traffic becomes a business risk.

The hidden risk: AI may learn the wrong version of your business

AI visibility is not only about being found. It is also about being represented accurately.

Imagine a hotel that still has a 2024 pricing page online. The page is old, but it still returns a normal 200 OK status code. Humans may not easily find it from the main menu, but the page is still alive.

An AI crawler may access that page. A search system may pick it up. A chatbot may later mention outdated prices to a potential guest.

The guest then visits the website and sees a higher price.

What happens?

Trust drops.

The user feels misled, even if the business did not intentionally mislead anyone. The problem is not only technical. It is commercial. Wrong information creates friction, and friction kills conversion.

I've seen this with new clients trying to improve their customer satisfaction. This can happen with many types of content:

• Old pricing pages,
• Old product pages,
• Old event pages,
• Old job listings,
• Old documentation,
• Old business locations,
• Old legal terms,

In traditional SEO, we often used canonical tags, noindex tags, deprecation banners, and internal linking to guide search engines. Those signals still matter, but AI systems do not always behave like traditional search engines.

A warning that says “this page is deprecated” may be clear to a human. It may not be enough for an AI crawler. A canonical tag may say “this is not the preferred page,” but the crawler may still receive and process the old content. A noindex tag may influence search indexing, but it does not necessarily stop a training crawler from reading the page.

This is why server-side behavior matters.

If the old page should no longer represent the business, the strongest solution is often a real redirect. A 301 permanent redirect tells the crawler: “This page has moved. Go to the current version.”

Cloudflare’s Redirects for AI Training feature is a good example of this logic. It enforces existing canonical tags as 301 redirects for verified AI training crawlers, while browsers, search engines, and AI assistants continue to receive the original page unchanged.

Sources: Cloudflare AI Redirects announcement and Cloudflare AI Crawl Control documentation

That is exactly why the AI redirect conversation is so interesting. SEO in 2026 is not about writing more content, creating more blog posts or generating landing pages. Google knows this well. It is about capturing real demand questions and answering them in a strategic, clear and value-generating manner.

Robots.txt helps, but it is not enough

The robots.txt file tells crawlers which parts of a website they should or should not crawl.

For example, a business can tell GPTBot not to crawl the site. It can tell ClaudeBot not to crawl old archive pages. It can allow search-related bots while blocking training bots.

This is useful. But it is not security.

Google explains that robots.txt is mainly used to manage crawler access and avoid overloading a site with requests. It is not a mechanism for keeping a page out of Google. The same practical warning applies more broadly: robots rules depend on crawler behavior.

Source: Google Search Central on robots.txt

Robots.txt should be part of the AI visibility toolkit, but not the whole strategy.

A good AI visibility audit should look at robots.txt, canonical tags, status codes, redirects, sitemaps, server logs, AI crawler traffic, and the actual content of old pages.

The practical question is simple:

When an AI system reaches your website, does it receive the version of your business you want it to learn?

If the answer is no, you have a visibility problem.

Hallucinations make trust even more important

AI systems can hallucinate. A hallucination is when an AI system produces information that sounds confident but is wrong, unsupported, or fabricated.

In the context of search, hallucinations are especially dangerous because users often trust the tone of the answer. A chatbot can sound calm, precise, and authoritative even when it has cited the wrong article, misunderstood a page, or invented a URL.

The Tow Center for Digital Journalism tested eight generative search tools and found repeated problems with incorrect answers, fabricated links, misattributed sources, and weak citation behavior.

Source: Tow Center research on AI search citation problems

This is not only a problem for journalists or academics. It is a problem for businesses.

An AI system can misstate your price. It can describe a service you no longer offer. It can recommend a competitor based on outdated information. It can cite a copied version of your content instead of your original page. It can mention your brand in the wrong category. It can summarize your business in a way that removes the nuance that makes you different.

That is why the answer to AI hallucinations is not only “write more content.”

The answer is to create stronger ground truth.

Your website should make the truth about your business painfully clear. Your service pages should say exactly who you help, what you do, what you do not do, where you operate, what outcomes you support, and how people can take action.

Informational-only websites are struggling

The websites most exposed to this shift are informational-only websites.

For many years, a website could grow by answering simple questions:

• What is X?
• How does Y work?
• What are the benefits of Z?
• Best tools for A.
• Guide to B.

These articles worked because users had to click to read the answer. Now AI can summarize many of those answers directly. The user may get enough information without visiting the source.

This does not mean informational content is dead. It means generic informational content is weaker.

If your article only repeats what everyone else says, AI can summarize it without you. If your page has no original view, no experience, no framework, no examples, no data, no tool, no story, and no next step, then it becomes raw material for someone else’s answer.

That is the hard truth.

The opportunity is to move beyond information and start creating a genuine connection and loyalty with your customers.

A strong website now needs to help people decide and act. It needs to give reassurance and trust. That means comparison pages, decision guides, calculators, diagnostics, checklists, case studies, opinionated frameworks, practical examples, and tools.

You should also give your own creative voice to each piece of content and design. Because the more I work in SEO, the more I realize that authenticity is what the algorithms are looking for. This is valid for Google, LinkedIn, and many other platforms.

AI responses should drive clear conversion actions to users

A chatbot can inform. But a website can convert.

This is the line businesses need to remember.

AI may help a user discover your business. It may summarize your offer. It may compare you with competitors. It may cite your article. It may recommend your product. But eventually the user needs a place to act.

That place is your website.

As some people put it, "your website remains the only digital real estate you truly own", and I couldn't agree more. LinkedIn, Instagram, YouTube, TikTok, X, and every other platform are rented spaces. Their algorithms change. Their terms change. Their reach changes. Your account can be limited, buried, or made irrelevant by forces outside your control.

Your website is your own field, and you should invest in making it the best place for buying your product.

You own the domain. You control the structure. You control the message. You control the calls to action. You control the data. You control the user journey. You control how your expertise is presented.

In an internet flooded with AI-generated content, your website is one of the few places where your organization’s voice can remain direct and unmediated.

Remember: AI can say what your company does. It can list your services. It can compare your product with another product. It can explain your industry. Use AI to your advantage, let it inform your customers about your products.

But AI cannot fully show what it feels like to work with you. If AI gives great recommendations for your service, users will eventually land in your page.

The quality of the writing, the clarity of the structure, the confidence of the design, the specificity of the case studies, the honesty of the examples, the care in the details, the human tone of the message. These things matter because buyers are not only buying information. They are buying trust.

For enterprise companies, consultants, agencies, hotels, SaaS companies, local services, and professional businesses, the website is often where the user decides whether the brand feels credible.

My own observation: AI crawler traffic is now part of SEO

I recently wrote about a risk that many website owners do not see yet.

Business owners often ask how much traffic they get from Google, LinkedIn, or direct visits. But very few ask:

How much of my website traffic comes from AI crawlers, and what pages are they reading?

That question matters because AI systems may be crawling old information about your business. If an old hotel pricing page, old event page, old product page, or old service page is still alive with a 200 OK status code, AI systems may treat it as valid content.

The solution is not only to write more blog posts. The solution is to clean the technical signals around the business.

Add clear canonical tags where one page replaces another. Use real redirects when old pages should no longer represent the business. Keep robots.txt updated for AI bots. Review which AI crawlers are allowed, which ones are blocked, and which pages should stay accessible. Check server logs or Cloudflare analytics to understand whether AI bots are crawling current content or outdated content.

This is SEO, but not the old version of SEO.

It is SEO for a world where the answer may be generated before the click.

What businesses should do now

The first step is to measure AI visibility.

I'll help you to measure it and get an initial sense on how your product is being surfaced from an AI perspective. I'll give more information on those prompts soon. However, some very basic questions where users might discover you might be when users write these prompts:

• "What's the best hotel in Lisbon for families?"
• "Which agencies do you recommend me for increasing my online sales?"
• "What's a reasonable price for hiking shoes?"
• "What are my other options if I don't have clean water for filters?"
• "Who is the best priced hairdresser near me?"
• "Is this food brand healthy?"

You can then test those prompts across ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and other relevant tools. Track whether your brand appears, whether competitors appear, whether you are cited, whether the cited URL is correct, and whether the answer describes your offer accurately.

The second step is to measure AI crawler access.

Look at server logs, CDN logs, Cloudflare analytics, or bot analytics. Identify GPTBot, ClaudeBot, OAI-SearchBot, ChatGPT-User, Claude-SearchBot, PerplexityBot, Googlebot, Google-Extended, and other relevant user agents. Check what they request and what status codes they receive.

The third step is to clean your content architecture.

Current pages should be clear, structured, updated, and easy to parse. Old pages should be redirected, removed, archived properly, or clearly canonicalized. Pages with commercial value should have strong calls to action. Content should not only answer questions. It should help users make decisions.

The fourth step is to strengthen trust.

Add author information. Add dates. Add examples. Add case studies. Add original opinions. Add data where possible. Explain who the content is for and who it is not for. Link internally to related pages. Use structured data where it makes sense. Make the website fast, accessible, and easy to navigate.

The fifth step is to convert the traffic that AI does send.

AI-referred visitors may arrive with stronger intent. They may already know the basics. Do not send them to a vague landing page. Send them to a page that answers the next question.

• What do you offer?
• Who is it for?
• Why should they trust you?
• What happens next?
• How do they contact you?
• What proof can they review?
• What decision can they make now?

This is where AI visibility creates revenue and brings real value to customers.

Generative Engine Optimization is not magic

GEO is not a trick.

You should not stuff pages with keywords for chatbots or use techniques to boost fake authority. It is also not about publishing generic AI-written articles at scale.

Real GEO is about making your business easier to understand, easier to cite, and easier to trust. Plain simple.

That means clear structure, strong content, technical accessibility, current information, external credibility, original ideas, and human proof.

Remember: AI is excellent at summarizing, you must be excellent at displaying the benefits of your offer.

Make sure you adopt your own voice, get your own branding colors, explain your reasoning, make comparisons and above all, connect real demand signals with your product. You can also list examples and publish useful tools. Say what you truly want to say and above all, review all AI generated content.

This is what AI cannot easily replace.

AI can repeat information. It can summarize consensus. It can compare public claims. But it cannot be your lived experience, your taste, your judgment, your relationship with clients, your field experience, your human trust, or your real-world execution.

That is where strong websites will win.

The new conversion model

The old model looked like this:

Search → click → website → conversion

The new model is more complex:

AI answer → citation → brand impression → direct search → website → trust → conversion

Or:

ChatGPT recommendation → product page → comparison → purchase

Or:

Perplexity answer → cited article → service page → consultation

Or:

Google AI Overview → brand recognition → later direct visit → quote request

This means businesses need to think beyond last-click attribution. AI may influence the buyer before analytics tools clearly show it. A user may see your brand in an AI answer and later come directly. They may search your name. They may ask another AI tool about you. They may compare you against competitors before ever filling out a form.

So AI visibility should be measured through several signals:

• How often are you mentioned?
• How often are you cited?
• Which URLs are cited?
• Are the answers accurate?
• Which competitors appear more often?
• Which prompts trigger your brand?
• Which prompts ignore your brand?
• Which pages receive AI referral traffic?
• Which AI crawlers access your site?
• Which old pages are still exposed?
• Which pages convert once users arrive?

That is the new SEO dashboard.

Conclusion

If you understand how AI sees your product and how AI impacts your field, you will be better positioned to create real value and differentiation.

Websites are more important than ever because they are one of the main places where AI systems, search engines, and crawlers learn what your business actually does.

Websites are the source of truth that AI systems read, summarize, cite, and sometimes misunderstand. It is also the place where serious buyers go when they need proof, trust, and action.

So the businesses that win will not be the ones that publish the most AI content.

They will be the ones that make their expertise clear, their technical signals clean, their old content controlled, their current pages easy to understand, and their conversion paths easy to follow.

AI visibility only matters if it helps the right people understand the right thing and take the right action.

Not more traffic.

Better trust.

Better representation.

Better conversion.