Anti-Hallucination Tools

Reduce the conditions that make AI invent, distort, or contradict information about your business.

QueryBurst helps you find missing information, conflicting facts, weak evidence, and retrieval failures — then fix them before they become bad answers.

Why AI hallucinates

AI models don’t like empty spaces.

If the information they need is missing, buried, or never makes it into retrieval, they’ll often fill the gap with the most plausible answer they can generate.

And when your site gives them conflicting versions of the truth, they have another problem: which one should they believe?

That’s why fixing hallucinations isn’t just about “making the model more accurate”. You need to make the underlying information clear, consistent, retrievable, and supported.

Recommended QueryBurst tools for reducing AI hallucinations

Test
RAG Chat

Ask your site what AI would say

Start with your own content. RAG Chat lets you ask questions about your website using only your indexed pages as the knowledge base.

If the answer is wrong here, it’s usually because the source material is missing, contradictory, or hard to retrieve.

RAG Chat — ask your website anything
Your own content told you the truth. Now see what happens when the wider web gets involved.
Trace
Answer Engine

Run it through the real retrieval pipeline

Now test the same question through Answer Engine. See what gets searched, what evidence is retrieved, what survives selection, and what finally gets grounded into the answer.

If your content drops out before grounding, rewriting the final answer won’t fix the problem.

Answer Engine — full pipeline trace
If the answer is still wrong, don’t guess. Check what your site is actually saying.
Audit
Facts & Claims

Find every claim your site makes

Site Intelligence extracts factual claims, opinions and statements from across your website, then groups them by topic and entity.

Find conflicting dates, pricing, product details, credentials, locations, or anything else that gives AI multiple versions of the truth.

Facts and Claims — contradiction detection
You’ve found the contradictions. Now compare them against what AI actually understands.
Compare
Verify

Verify what AI actually sees

Verify compares what your site says with what models extract and understand from it.

See whether the facts you intended to communicate are surviving the crawl, parsing and retrieval process — and where meaning gets lost or distorted.

Verify — compare intent vs. extraction
The facts are consistent. But can you actually prove the claims you’re making?
Evidence
Claims / Evidence

Back up the claims that matter

Claims identifies important factual and commercial statements and checks whether there’s evidence to support them.

Because fixing hallucinations isn’t just about saying the same thing everywhere. It’s about giving AI enough evidence to believe it.

Explore Site Intelligence

Clear facts. Consistent claims. Retrievable evidence.
Fewer reasons for AI to make things up.

Hallucinations aren’t always a model problem

Sometimes the problem is the information you gave the model.

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