Understanding Web Crawlers: Strategies for Traditional and AI Search Bots

Understanding Web Crawlers: Strategies for Traditional and AI Search Bots

October 24, 2024

Morgan McMurray
Content Writer

Web crawlers have always played a key role in determining the visibility of your site on traditional search engines. But a new wave of AI crawlers is changing how web content is ingested and applied by large language models (LLMs).

Understanding the differences between both types of crawlers — and strategizing accordingly — will soon be essential for remaining competitive in this new era of search.

Web crawlers for search: indexing bots vs AI bots

Web crawlers for indexing

Crawlers like our old friends Googlebot and Bingbot are how search engines discover and catalog web content. These crawlers navigate website links and store information in their indexes, ultimately determining what appears in traditional search results. The efficiency and accuracy with which your site is crawled and indexed play a significant role in your visibility on search engine results pages (SERPs).

The most well-known and most active search engine and indexation crawlers include familiar names:

  1. GoogleBot
  2. BingBot
  3. YandexBot
  4. Google Images
  5. Applebot

Web crawlers for training AI models

As AI-driven platforms like ChatGPT, Bing Copilot, and Perplexity gain prominence, a new type of web crawler has emerged: “AI crawlers,” or bots focused on gathering data to train these LLMs.

Unlike traditional indexing crawlers, these bots don’t index content for search engines, but rather use the content they crawl to train LLMs and improve each model’s ability to generate human-like responses.

Some of the most active and verified (transparent) AI crawlers right now include:

  1. Amazonbot
  2. GoogleOther
  3. GPTBot (OpenAI)
  4. PetalBot (Huawei)

For brands that want to optimize for answer engines, content can’t simply be searchable, but must also be suitable contextually for training AI models, which in turn may generate summaries or answers based on your material.

Do you want AI crawlers accessing your site?

While optimizing for indexation crawlers is table stakes for all organic visibility, AI training crawlers can help your content appear in both answer engines as well as the next wave of generative search results. Having your content referenced in AI-generated answers has the potential to enhance your brand’s visibility beyond traditional search rankings, allowing users to engage with your material through AI-driven tools. However, these AI tools also present new challenges:

At the end of the day, your website has to be crawlable to be indexed and rendered successfully across all platforms, including Google, Bing, and Bing API-powered AI services like ChatGPT and Perplexity. Whether or not you choose to strategize for, or to allow, AI crawlers will be determined by your specific brand goals.

Monitoring, measuring, and controlling crawler activity

Understanding how bots interact with your site can clue you in to technical issues and inform your optimization strategies by showing you what content bots are accessing (or not reaching), and how often.

A couple methods for this analysis include:

Use LogAnalyzer within Botify Analytics

Botify's LogAnalyzer automates log collection and segmentation, and offers detailed insights into how different crawlers interact with your site. This data allows you to detect issues early, make the most of crawl budgets, and make informed decisions about how to manage both indexing and AI crawlers like GPTBot effectively.

Optimizing for each crawler

Once you know which parts of your site crawlers are accessing, you can adjust your strategies to meet your visibility goals. Regardless of crawler type, you’ll want to consider:

Optimizing for indexing crawlers

For search indexation bots, continue to focus on the tried-and-true technical elements that ensure your site can be fully indexed:

Google reps have recently expressed that the tech giant is looking for ways for Googlebot to crawl less. Knowing this, your website should be as streamlined and easy to understand for bots as possible to make sure they reach your most valuable pages.

Using tools like Botify Activation to test and implement technical optimizations, and SpeedWorkers to clean up and cache the content you want crawled, can help streamline these processes, making your site more efficient and appealing to indexing crawlers.

Optimizing for AI training crawlers

The goal of crawlers that feed LLMs is to provide those models with high-quality, contextually rich content. To optimize your site for these tools:

Optimizing for AI answer engines should complement your optimization for indexation, rather than override it. After all, new AI-supported search results and search engines will still need to find your content in order to use it. As we’ve learned from search engines like Google, which have been using natural language processing (NLP) and other machine learning techniques for years, high content quality remains paramount.

Make sure bots find your content

As search engines like Google and Bing shift their focus toward optimizing crawl efficiency, it’s more important than ever to streamline your site to ensure that crawlers prioritize your most valuable content. At the same time, AI training crawlers are increasingly shaping the way users engage with information across the web. By making sure that your content is accessible to both types of crawlers, you should not only increase your visibility in traditional search, but also position your brand to be referenced in generative AI interactions.

To guarantee success, you need a strategy that embraces both traditional and AI-based web crawlers — ensuring your content reaches its full potential across search engines and AI platforms alike.