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LLM A/B Testing

LLM A/B Testing serves AI crawlers different structural variants of the same page — chosen from 10 available content transforms — using a sticky per-bot-per-page assignment, while Google, Bing, and human visitors always see the original, unmodified page.

What it does

CrawlPod can serve AI crawlers a structurally modified version of a page, drawn from 10 available content transforms — including stripping CSS, stripping JS, stripping images, removing navigation chrome, reordering content answer-first, enhancing heading structure, injecting FAQ schema, and simplifying sentence structure. A given AI crawler is assigned the same variant for a given page every time it visits, so results stay consistent for the duration of a test.

Google and Bing crawlers, along with regular human visitors, always receive the original page — the transforms only ever apply to recognized AI crawlers being tested.

Why it matters

Different AI bots parse and weight content differently, so testing which structural presentation gets cited or summarized best is a legitimate optimization, distinct from showing search engines and users different substantive content. A page stripped of navigation chrome and reordered answer-first might be summarized more accurately by one AI crawler, while another performs identically regardless — A/B testing surfaces which structural choices actually move the needle for a given bot, on a given page, instead of guessing.

This is not cloaking.Transparency HTTP headers and an HTML comment disclose the active transform on every response served to an AI crawler, and the underlying content and claims are identical across every variant — only presentation and structure change. Cloaking means showing different substantive content or claims to search engines than to users; this changes how the same content is structured, not what it says, which is why it isn't the deceptive practice search engines penalize.

How it works

  1. Choose the content transforms to include in a test.
  2. Select which pages the test should run on.
  3. CrawlPod assigns each recognized AI crawler a variant per page, sticky for the life of the test.
  4. Google, Bing, and human visitors continue to receive the original page throughout.
  5. Review results to see which variant performed best per bot.

Key concepts

  • Strip CSS
  • Strip JS
  • Strip images
  • Remove navigation chrome
  • Answer-first content reorder
  • Enhanced heading structure
  • Inject FAQ schema
  • Simplify sentence structure

Sticky assignment — a given crawler always gets the same variant for a given page, so a test compares consistently rather than randomizing on every request.

Limitations & fair usage

LLM A/B Testing is available on the Ultra plan. Transforms apply only to recognized AI crawlers, never to Google, Bing, or human visitors, and every served response discloses the active transform via transparency headers and an HTML comment. Tests run on a fair-use schedule to keep response times reasonable for all customers.

  • Pre-Flight AI Sandbox— test a draft before publishing, then A/B test structural variants once it's live.
  • AI Readiness Audit — establishes a baseline score before comparing transform variants against it.
  • See the Ultra plan for what else is included at this tier.