Is Your Website Ready For AI Agents?

QueryBurst's AI Site Discovery tool simulates how an AI agent autonomously explores your website when trying to answer questions about your business. It runs 10–15 turns of exploration — searching, retrieving pages, extracting content, and synthesising understanding — then reports exactly which pages surfaced, which didn't, what it understood, and where it got stuck. This is the machine-eye view of your website that no other tool provides.

Why This Matters Now

• AI agents don't browse like humans. They don't click through menus or scan page layouts. They search your indexed content, retrieve the highest-scoring snippets, read them, form an understanding, then search again with a refined query. If your content doesn't surface in that loop, it doesn't exist.
• Agentic browsing is the future of discovery. AI shopping agents, research agents, and comparison tools will explore your site autonomously on behalf of users. They'll decide what your business does, what you offer, and whether to recommend you — all without a human ever visiting your site.
• Content exists but doesn't surface. The most common finding is that information is on your site but doesn't get retrieved. Buried in the wrong page, using different vocabulary than users search for, or drowned out by navigation boilerplate. Our tool distinguishes true content gaps from discoverability issues.
• Vocabulary mismatches cost you visibility. If your site says "bespoke solutions" but users search for "custom software," AI will struggle to connect the two. High query expansion rates in our reports reveal exactly where your terminology doesn't match how people actually search.

What Makes This Unique

• Autonomous multi-turn exploration. Not a single query. The AI agent runs 10–15 autonomous turns, refining its searches as it goes — exactly like a real AI agent would when browsing your site to answer a user's question.
• Two discovery modes. General Discovery explores your site broadly (what do you do, what do you offer, who's it for). Goal-Focused Discovery tests a specific question against your content ("Which of your products is best for enterprise?").
• Gap validation. After identifying gaps, the system runs a secondary deep search to check if the content actually exists but wasn't surfaced. This separates true content gaps from retrieval/discoverability problems — a critical distinction.
• Live exploration view. Watch the agent explore in real time: every search query, every page found, relevance scores, chunks retrieved, confidence levels, and gaps identified — turn by turn.

How AI Site Discovery Works

1. Crawl & Index

Index Your Website

Connect your site and QueryBurst crawls and indexes your content — pages, headings, entities, chunks. This is the corpus the AI agent will explore, and it's the same corpus that powers all other tools in the platform.

2. AI Site Discovery — General

Broad Exploration

Run a General Discovery to see how an AI agent understands your business from scratch. Over 10–15 autonomous turns, it searches your content, retrieves pages, reads snippets, and builds a picture of what you do, what you offer, who it's for, and what differentiates you. You see every turn live: the search query, pages found with relevance scores, chunks extracted, the AI's summary, and its confidence level.

3. AI Site Discovery — Goal-Focused

Test Specific Questions

Enter a question a real user would ask — "What's your pricing for enterprise?", "Do you offer a free trial?", "Which product is best for small teams?" — and watch the AI agent try to answer it using only your site content. If it can't find the answer, or finds conflicting information, you've identified a content gap or discoverability issue that's costing you conversions from AI-driven discovery.

4. Report & Fix

Act On The Findings

The final report breaks your content into three categories: Clearly Understood (your wins), Partially Understood (thin or buried content), and Could Not Find (true gaps). Gap Validation then runs a deep search to distinguish between content that genuinely doesn't exist and content that exists but wasn't surfaced — so you know whether to create new content or restructure what you already have. Use Content Lab and the Retrieval Optimizer to address the gaps.

Frequently Asked Questions

What is agentic browsing?

Agentic browsing is when an AI system autonomously explores a website to answer a question or complete a task on behalf of a user. Unlike traditional web browsing, the agent doesn't see your page layouts, images, or navigation menus. It searches your content, retrieves the most relevant snippets, reads them, builds an understanding, then searches again with a refined query. This cycle repeats until the agent has enough information to answer the user's question. AI Site Discovery simulates this exact process against your indexed content.

What's the difference between General and Goal-Focused Discovery?

General Discovery explores your site broadly — what your company does, what you offer, who it's for, key differentiators, pricing, and trust signals. It's the equivalent of an AI agent trying to understand your business from scratch. Goal-Focused Discovery tests a specific question (e.g., "Which product is best for small teams?") and shows whether your content can answer it. Use General first for the big picture, then Goal-Focused to test specific user scenarios.

What does "gap validation" mean?

When the AI agent can't find information during exploration, Gap Validation runs a secondary deep search to determine why. There are two possible outcomes: either the content genuinely doesn't exist on your site (a true content gap — you need to create it), or the content exists but wasn't surfaced during normal exploration (a discoverability issue — you need to restructure, re-word, or move it). This distinction is critical because the fix is completely different in each case.