Why AI makes infrastructure decisions more important

Has anyone told you that AI changes everything? Is it true that fewer visitors to your website reduces the importance of your site’s infrastructure and turns your hosting from a strategic asset into a commodity?

Well, the reality is very different. The drop in organic traffic is only what you see at first glance. The truth is that AI is changing things beneath the surface. What is really changing is the nature of the traffic that reaches your server every day.

While Imperva’s 2025 Bad Bot Report reveals that bot traffic has officially surpassed human-generated traffic, our own internal research across more than 10 million requests shows that AI bot traffic on Kinsta-hosted sites has surged by 300% in a single year.

This means your website is being crawled continuously. Think about Google’s AI Overviews and conversational search features, which are increasingly used to deliver answers directly to users. But also consider AI agents, which autonomously execute automated tasks on your site.

For online business owners, it is vital to be aware of these new actors interacting with your site around the clock, understand their impact on your business, and learn how to leverage the growing presence of AI on the web instead of just letting it happen to you.

And guess what? The infrastructure powering your website still makes a difference in the age of AI.

What is really changing for your website with AI

The idea that websites are losing their central role in online business may look supported by research such as Gartner’s 2024 report and Semrush’s 2025 Zero-Clicks Study. These studies suggest that some sites are seeing less organic traffic because users increasingly stop at chatbot answers rather than clicking through to destination pages.

As mentioned, however, that is only part of the story. Traditional human-to-machine interaction is increasingly being supplemented by mediated human-to-machine-to-machine interaction. In addition, AI agents can perform actions on a site without human intervention (machine-to-machine). This should prove that, for agencies and website owners, the operational picture is much more complex than traditional metrics suggest.

But what is really changing with the increasing adoption of AI technologies?

First, AI changes the type of interaction. Instead of the static, linear model typical of human browsing, websites increasingly have to handle dynamic requests driven by non-human agents. In many cases, these systems read rendered pages, API endpoints, feeds, or structured data rather than simply loading a cached HTML page. That can increase the load on backend systems when content is generated dynamically or cannot be cached, consuming CPU and RAM resources, and triggering more database queries.

AI also changes the speed of interactions. Machines can send multiple HTTP requests in a very short lapse of time, which can saturate PHP threads, server processes, and database connections.

AI changes the nature of operational risk. If your e-commerce website times out while a crawler or agent is scanning it, you can lose visibility and potential sales without the issue being obvious in standard analytics, because traditional metrics such as clicks, impressions, and rankings do not fully capture these interactions.

Finally, machine-mediated interactions can broaden the attack surface. To interact with AI agents, LLM-powered tools, or automation tools, API endpoints need proper authentication, validation, and rate limiting. Otherwise, malicious bots can interfere with your site automations or consume server resources.

An overview of modern bot traffic

Every modern website is hit by far more types of bots and agents than ever before. While traditional bots, such as search engine crawlers, remain the most prominent, we are witnessing an ever-growing presence of AI bots that retrieve content from your site as needed to generate answers for user chats.

AI-powered services like Perplexity, Gemini, and ChatGPT—each with its own specific mechanics—rely on various types of crawlers, retrieval systems, or autonomous agents to access public content on the fly whenever a user interaction demands it.

Not all of these bots, crawlers, and AI services behave the same way. Background crawlers harvest data asynchronously, meaning they can easily tolerate a sluggish server. But it’s a completely different story for live retrieval agents like Google AI Overviews or Windows Copilot, and price trackers like Prisync that operate within razor-thin, real-time windows. In these scenarios, running a fast, well-structured site powered by cutting-edge infrastructure is vital.

If your website is sluggish, serves fragmented or incomplete data, or enforces overly aggressive rate-limiting on these bots and agents, your products will end up displayed with outdated information—or completely dropped from AI recommendations altogether. This hands a massive competitive advantage to high-performance websites that deliver clean, well-structured data ready to be parsed and processed in milliseconds.

The bots and services crawling websites today serve a wide variety of purposes: from traditional keyword-based search, to conversations between humans and digital assistants, to AI agent automations. Consequently, these bots and services use several different gateways to read and ingest your website’s content.

Understanding the diverse ways bots interact with your website and the strategic role of the infrastructure beneath it is vital to staying ahead of the competition. So, let’s dive in.

Who is crawling your site?

As previously mentioned, traditional metrics don’t tell the whole story of who (or what) is querying your website. In today’s overcomplex markets, looking beyond standard metrics that only track human visitors is essential. You need to understand whether a human or an artificial agent is querying your site, what they are looking for, and what your business risks are if your server responds slowly or delivers fragmented data.

AI platforms don’t query only your website, though. They continuously draw on all types of pre-existing web data to deliver real-time answers. Consequently, the growing adoption of AI also dramatically intensifies the activity of traditional bots and connected data services, including search engine indexers and price-monitoring crawlers. When Perplexity uses information from your website to generate a response, you might not see the PerplexityBot in your server logs at all—simply because that data is already available through traditional search indexes.

To better understand how bots interact with your site and why recognizing them is critical to your business, we have divided them into the following groups:

1. General search engine crawlers

This category includes traditional bots used by search engines to discover, analyze, and index web content. Googlebot and Bingbot are among the most common agents you will see in your server logs.

These bots analyze HTML pages, internal links, text content, structured data, and quality signals to evaluate your site architecture and rank your content in search results.

While it might initially seem that traditional crawlers have nothing to do with AI, the reality is quite different. Large language models and conversational assistants rely on traditional search engine indexes as their primary knowledge base.

In technical terms, this is called grounding—the process through which AI assistants retrieve fresh, real-time information to answer user queries.

This leads to a golden rule: the first step to optimizing your website for AI is optimizing it for traditional SEO. Without proper indexing in search engines, AI won’t pull fresh data from your site; it will pull it from your competitors.

Furthermore, while SEO optimization forms the foundation, it is equally essential to optimize your site for generative models through Generative Engine Optimization (GEO). You can achieve this by answering direct questions, using structured data (Schema.org/JSON-LD) to help AI understand relationships and facts without ambiguity, building domain authority, and using clear, consistent language.

Infrastructure also plays a key role in staying competitive, as page speed is a critical ranking factor. On top of that, rendering issues, high latency, and server downtime can severely compromise indexing. If your site loads slowly or fails to respond, crawlers may reduce their crawl frequency, leaving your latest content and product updates out of the index.

2. Shopping and data verification crawlers

This category includes crawlers specifically designed to scan and verify product pages, checkout flows, and payment pages on an e-commerce site. The most prominent example is Google StoreBot, Google’s dedicated commercial bot.

The official Google Merchant Center documentation clearly explains how Google utilizes the information it finds on your website:

The information Google StoreBot gathers is used to enhance the user experience and increase the number of relevant customers who visit your page from Google. It allows Google to verify information you share through Merchant Center, and helps you keep your data more accurate and up to date.

Google StoreBot is not exactly an AI bot. It is a traditional crawler, but it serves as the primary data source for Google’s commercial AI.

StoreBot often operates in real time to retrieve information about your products and verify that the price, stock availability, variants, and other feed data match what is displayed on your pages. Google uses this collected information to power commercial responses in Google AI Overviews, shopping chats within Gemini, and the entire Google Shopping ecosystem.

By allowing users to make informed decisions without having to deep-dive into each vendor’s website, Google StoreBot enables a much smoother shopping experience.

Merchants have their own benefits, too, as they can target a highly qualified audience at the exact moment of peak purchase intent, boosting sales and conversion rates. Being visible on Google Shopping and within AI assistant chats also enhances brand visibility and trust.

However, if your site fails to deliver data to the crawler—by serving incomplete or outdated information, or by running slowly and timing out while the bot attempts to simulate adding a product to the cart—Google will log a verification failure or a data mismatch.

This immediately penalizes the product on Google Shopping and other AI-assisted sales environments. In the worst-case scenarios, Google might even suspend your Merchant Center account. Your website loses visibility, and you lose sales without the issue ever showing up in traditional analytics systems.

In this new landscape of AI-driven shopping, the performance of your product pages and checkout flows is vital to aligning your website with the specific demands of Google StoreBot.

Choosing a hosting provider that offers strategic features and performance optimizations prevents bot traffic spikes from degrading the experience for both human users and artificial agents. For businesses looking to compete effectively in AI-dominated marketplaces, the availability of server-side caching, an enterprise-level CDN, Edge Caching, and performance optimization tools is non-negotiable.

3. Price monitoring and dynamic repricing services

This category includes bots used by market intelligence platforms to monitor prices, variants, promotions, availability, and stock levels to streamline product pricing, comparison, and dynamic repricing in highly competitive industries.

Prisync, an AI-powered platform that helps e-commerce businesses implement dynamic pricing, is an example of this kind of service.

The following image shows an e-commerce site using Prisync to update list prices dynamically without human intervention:

While AI assistants or agents do not directly deploy these bots, AI shopping assistants continuously draw on this data to present users with the best prices in real-time. If you sell products on comparison platforms or rely on dynamic repricing services to offer your customers the most advantageous rates, your catalog must be continuously accessible and presented with pinpoint accuracy.

If your e-commerce site is slow or serves incomplete or outdated data, the service will harvest unreliable data, crippling your products’ competitiveness across marketplaces and AI shopping chats. As a result, your products could be dropped from AI conversations, and customers may see mismatched prices across platforms—losing trust in your brand and eventually abandoning shopping carts.

Once again, your website’s infrastructure plays a crucial role in the fight for competitiveness. Price-tracking bots scan your entire product catalog with large volumes of requests within razor-thin timeframes. If your site’s architecture can cope with this spiked load, repricing bots can do their job effectively—securing your visibility across both product comparison platforms and AI assistant chats.

4. Agentic shopping assistants and AI commerce agents

Finally, we come to the bots specifically tied to AI assistants and agents. This category consists of agent bots designed to help users search for, compare, and select products based on specific needs expressed in natural language.

Examples include conversational shopping assistants like Amazon’s Alexa for Shopping or the new shopping experience from Perplexity Shopping (currently available only in the United States).

These solutions dynamically crawl and read the retailer’s product catalog on the fly, instantly matching user constraints with available inventory. They don’t just provide links and descriptions; they simulate the process leading to a purchasing decision. In some cases, like Perplexity Shopping, they guide the user through the buyer’s journey all the way down to the final purchase.

Perplexity clearly describes the benefits for retailers:

What elevates the experience for retailers is the customer they’re meeting. Traditional search casts a wide net and optimizes for clicks. A shopper who’s gone through Perplexity’s conversational, personalized shopping flow has significantly higher intention to purchase. And with instant checkout, retailers benefit from consumers being less likely to abandon their cart in the time it takes to move from decision to purchase.

The main point is that shopping assistants and commercial agents crawl sites that offer the type of products requested by the user on the fly and expect immediate responses.

If your site responds quickly and your product catalog is easily accessible and well-structured, the AI agent will be able to retrieve your product information and potentially recommend it to the end user.

The purchasing decision may not happen on your site at all, yet your site’s performance is crucial in driving that purchasing decision.

5. LLM scraping bots

These bots scan the web to collect vast amounts of text (articles, reviews, opinions, and documentation) to train Large Language Models (LLMs) or index the web for Retrieval-Augmented Generation (RAG), creating a massive repository of general knowledge. Examples of these bots include GPTBot (OpenAI), ClaudeBot (Anthropic), and Bytespider (ByteDance).

Here is how an AI bot entry might look in your server’s access log:

Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; GPTBot/1.4; +https://openai.com/gptbot)

Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36; compatible; OAI-SearchBot/1.4; robots.txt; +https://openai.com/searchbot

Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; [email protected])

Mozilla/5.0 (Linux; Android 5.0) AppleWebKit/537.36 (KHTML, like Gecko) Mobile Safari/537.36 (compatible; Bytespider; [email protected])

Not all LLM bots have the same impact on your site. Some, such as GPTBot, OAI-SearchBot, and ClaudeBot, are beneficial to your business as they allow AI models to learn from your content and cite your site as an authoritative source—helping you boost visibility and enhance brand reputation within generative responses. Others, like Bytespider, can be more harmful because they crawl servers aggressively, consuming compute resources without offering a return in brand visibility or qualified traffic.

Without proper architecture and protection against unwanted traffic, the flood of requests generated by LLM bots can overwhelm server resources, increase Time to First Byte (TTFB), and slow down navigation for both human users and AI bots.

The role of architecture for AI visibility

Site architecture and hosting infrastructure are two distinct elements of your online business strategy; both play a crucial role in your success in markets that AI assistants and agents increasingly dominate.

Architecture provides the information that feeds bots when they crawl your site, and the accuracy, accessibility, and consistency of that information defines it. An AI-ready architecture is optimized across several key areas.

HTML5 and semantic markup

First and foremost, you need to optimize your HTML code structure and use semantic markup. Your site’s pages should follow HTML5 best practices, enclosing content within tags like <section>, <article>, <header>, <nav>, and <aside>, rather than relying on generic <div> tags. This allows AI to understand the semantic value of the information contained on your pages.

Here is an example of a semantic HTML structure:

<header>
	<h1>My Brand</h1>
	<nav><a href="/helmets">Helmets</a></nav>
</header>

<main>
	<article itemscope itemtype="https://schema.org/Product">
		<h2 itemprop="name">Adventure Helmet</h2>
		
		<div itemprop="offers" itemscope itemtype="https://schema.org/Offer">
			<span itemprop="priceCurrency" content="USD">$</span><span itemprop="price">549.99</span>
			<link itemprop="availability" href="https://schema.org/InStock">
		</div>

		<p itemprop="description">ECE 22.06 certified carbon fiber adventure helmet.</p>
	</article>

	<aside>
		<h3>Compatible Accessories</h3>
		<a href="/pinlock">Pinlock 120 Lens</a>
	</aside>
</main>

<footer>
	<p>© 2026 My Brand</p>
</footer>

Structured data (Schema.org and JSON-LD)

The second pillar of your site’s architecture is structured data formatted in JSON-LD according to Schema.org standards. This data provides an explicit and unambiguous representation of key information on your site’s pages, allowing crawlers to instantly read prices, availability, and other product attributes without having to parse through the page content.

Here is an example of structured data encoded as JSON-LD:

<script type="application/ld+json">
{
	"@context": "https://schema.org/",
	"@type": "Product",
	"name": "Adventure Helmet",
	"image": "https://example.com/images/adventure-helmet.jpg",
	"description": "ECE 22.06 certified carbon fiber adventure helmet.",
	"sku": "ADV-HELMET-2026",
	"brand": {
		"@type": "Brand",
		"name": "My Brand"
	},
	"offers": {
		"@type": "Offer",
		"url": "https://example.com/helmets/adventure-helmet",
		"priceCurrency": "USD",
		"price": "549.99",
		"availability": "https://schema.org/InStock",
		"itemCondition": "https://schema.org/NewCondition"
	}
}
</script>

Structuring content for Generative Engine Optimization (GEO)

Another pillar of an AI-ready architecture is optimizing your page content. To be visible in AI assistant conversations today, you must answer the actual questions users ask AI in chat interfaces.

This falls under Generative Engine Optimization (GEO)—a set of techniques designed to optimize content to match the semantic intent and natural language typical of conversational and voice assistants.

AI agents answer user queries. For this reason, FAQ and Q&A formats should be preferred as they provide ready-to-use questions and answers that AI assistants can pull during user interactions. Placing a direct answer right after the question makes your content instantly accessible to AI, leaving technical details for the second part of the section.

The questions you target are equally critical. Put yourself in the shoes of a user searching for a motorcycle helmet. They won’t just ask the AI, “I’m looking for a motorcycle helmet.” Instead, they will specify the bike model, use cases, technical requirements, and other product attributes. It could be something like “I’m looking for a lightweight helmet for my dual-sport motorcycle for off-road riding.”

Finally, you should make sure your data is objective and verifiable. Certifications, technical specifications, exact materials, and measurements increase your brand’s authority.

Bot accessibility, APIs, and catalog feeds

An AI-ready architecture must prevent technical barriers that could block bots from accessing your site. Make sure your robots.txt file is configured correctly to avoid unintentionally blocking crawlers from major LLMs, and consider providing a standardized summary file like llms.txt.

Having structured APIs and product catalog feeds is decisive for exposing your site’s data so crawlers can ingest it easily and without ambiguity. A JSON payload returned in response to an API call is exponentially more efficient than scraping a web page.

Response times are minimal, and server resource consumption is a fraction of what is required to render a full web page. Furthermore, public REST or GraphQL APIs bypass the indexing hurdles caused by complex JavaScript execution.

The same applies to catalog feeds. An up-to-date XML, JSON, or CSV feed enables bots to retrieve product IDs, prices, image links, stock availability, and other structured data by ingesting your entire catalog in fractions of a second, guaranteeing that AI-generated responses remain accurately aligned with your real-time inventory.

A well-designed architecture provides AI with the exact data and information it needs to deliver accurate and complete answers to user queries.

At the foundation of it all, however, is the hosting infrastructure powering your site. Let’s look at why it is so critical for your brand.

How hosting infrastructure boosts your business in the AI era

If site architecture determines how easily bots can access your site’s information, infrastructure determines how fast your site responds to those requests.

When a crawler queries your site in real time, it doesn’t wait around for seconds. If your site is slow to respond, the crawler moves on to other sources or penalizes your visibility. Having a catalog feed, using structured data, and building a semantically flawless HTML structure isn’t enough on its own; to avoid losing visibility and sales opportunities, your site must be fast.

In the AI era, choosing the right hosting partner is more strategic than ever. Here is what you should look for in a hosting service.

1. Type of hosting

On shared hosting, your site shares server resources with a potentially large number of other websites. This means a surge in traffic on one site hosted on the same machine can directly impact your site’s performance.

Furthermore, budget hosting providers often lack the essential tools and services a modern e-commerce business relies on—including, but not limited to, performance monitoring tools (APM), dedicated SSH and WP-CLI access, server-level caching, and an integrated CDN.

You also cannot expect premium, instant-response support from cheap hosting. Your development team knows how vital it is to have access to knowledgeable, fast, and decisive support when your site runs into issues in the middle of a promotional campaign or seasonal sales peak.

These hosting capabilities are even more critical today as AI agents increasingly access your site. It’s no longer just about being fast for human users—which is fundamental to business success in its own right. To stay competitive today, you must also be fast for machines, which account for a growing share of your site traffic. And it bears repeating: automated requests from machines can place a far heavier load on your server than human visitors.

A premium managed hosting partner like Kinsta ensures your site has the processing power and dedicated resources required to compete in AI-driven environments.

Every site hosted on Kinsta lives in an isolated container environment. Server resources (CPU, RAM, PHP workers) are allocated to your site based on your plan and are never shared with any other site—even within your own account. This guarantees your site always has the resources it needs. If you ever need an upgrade, you can do it seamlessly from the MyKinsta dashboard in just a few clicks or by reaching out to our support team.

This is why Kinsta’s container technology is the right choice in the AI era.

2. Server caching, CDN, and Edge Caching

A bot can send dozens or even hundreds of requests to your site within a very short timeframe. If every single request triggered a PHP execution and a database query, your response times would surge, and resource consumption would skyrocket.

When your site leverages an advanced caching system, your pages are served directly from cache, significantly reducing the workload on your server.

In this context, an enterprise CDN with advanced Edge Caching ensures that most bot requests never even reach your origin server—optimizing response times and keeping resource consumption to an absolute minimum.

Kinsta delivers the perfect infrastructure for e-commerce sites and online businesses aiming to maximize the market opportunities unlocked by shopping crawlers and AI bots. Our Cloudflare integration allows us to provide all our clients with an enterprise CDN featuring built-in DDoS protection and Edge Caching, which serves pages from the location nearest to the end user—whether human or artificial.

This translates into lightning-fast response speeds, uninterrupted service continuity, and substantial savings in server resources.

3. Advanced monitoring tools and premium support

Speed alone isn’t enough. Sooner or later, issues will arise—whether it’s a plugin slowing down your site, an integration glitch, or a conflict between WordPress and a custom script. That’s why having a robust monitoring system to quickly troubleshoot problems, alongside a proactive, technically expert support team, is vital.

Kinsta users have an integrated performance monitoring tool (APM) available directly inside their MyKinsta dashboard that allows them to pinpoint performance bottlenecks with absolute precision. Kinsta APM lists scripts, PHP processes, database queries, and plugins by execution time, enabling you to identify what is causing slowdowns swiftly.

In addition, the MyKinsta dashboard provides a powerful set of analytics tools that give you continuous observability over your site. In the Analytics section, you’ll find detailed performance data, including top request lists and their respective response times.

Inside MyKinsta, you’ll also find a dedicated server log viewer where you can examine access details and quickly identify requests coming from artificial agents.

And when issues become obscure, our premium support team is just a click away, ready to assist you in less than two minutes.

4. Developer tools

The more control you have over your site, the higher you can raise the bar for your business. That is why having essential developer tools is non-negotiable for your technical team. Dedicated SSH/SFTP access, WP-CLI, PHP version control, staging environments, and IP blocking are just a few of the capabilities required to maintain total control over your site’s lifecycle.

Kinsta provides a comprehensive suite of WordPress developer tools that lets you execute complex administrative tasks with just a few clicks from your hosting dashboard. Staging environments, PHP restarts, WordPress debugging, Search and Replace, geolocation, SSH, WP-CLI, and PHP version switching come standard on all plans.

For high-demand businesses, Kinsta also offers specialized add-ons: premium staging environments, PHP performance optimization, and Redis Cache give you even deeper control over how your site processes and responds to bot requests.

5. Controlling bot traffic with Kinsta

Bot traffic is an inescapable reality for e-commerce and online business owners today. It is also notoriously difficult to measure accurately, as only a portion of AI-generated activity is visible in your server logs.

If the information an AI requires is already present within the chat context or the agent’s memory, no HTTP request will reach your site. Similarly, an AI can retrieve details about your brand or products from third-party sources—such as search indexes, marketplaces, or review platforms.

Even so, most modern websites are seeing a steady increase in visits from AI bots—and not all of them add value to your business.

Kinsta gives you granular control over the bots accessing your site. You can configure the bot protection level, monitor detailed breakdown patterns of incoming site traffic, block AI crawlers entirely, allow or restrict typical WordPress automation requests, and define custom exceptions.

Is AI an opportunity or a threat for your business?

AI undoubtedly presents new challenges, but it also creates fresh business opportunities. Your website remains your most important digital asset, but its role is evolving rapidly. As innovation moves at a breakneck pace, the competitive battleground is shifting toward AI assistant chats and third-party platforms.

In this new landscape, site architecture and hosting infrastructure are decisive factors—enabling you to deliver precise information to AI agents at maximum speed.

Maintaining granular control over bot traffic is equally strategic. It allows you to filter out harmful scrapers while granting access to bots that drive real business value, preserving server resources, and protecting site performance.

Kinsta continues to solidify its role as the premier managed host for growth-oriented companies competing in an AI-driven market. Check out our hosting plans or start a chat with our sales team today to discuss your business needs.

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