CiteLLM Check
Verify claims and trace answers to source passages directly in ChatGPT or Claude, or in a standalone web app we set up for your team.
Plugin for ChatGPT & Claude · Web app on request
Evidence for every AI answer
AI answers you can check in one click.
Check claims, ask questions and extract data. Every result links to the exact passage, highlighted in your original PDF.
apple-10k-2025.pdfPage 27
Which product category grew fastest in 2025?
Services, up 14% to $109,158 million .
Products and Services Performance
| 2025 | Change | 2024 | |
| iPhone | $ 209,586 | 4% | $ 201,183 |
| Mac | 33,708 | 12% | 29,984 |
| iPad | 28,023 | 5% | 26,694 |
| Wearables, Home and Accessories | 35,686 | (4)% | 37,005 |
| Services | 109,158 | 14% | 96,169 |
| Total net sales | $ 416,161 | 6% | $ 391,035 |
Click 1 or 2 to see where each number comes from
The model answers. CiteLLM proves where it came from.
01
Bring your documents
Check a PDF in your AI chat, search a document collection, or pull fields into a table.
02
Get answers with sources
Every answer, claim or extracted value links to the exact passage in your PDF.
03
Review and sign off
Approve or flag each result, then export an evidence report for your records.
Human in the loop, by design. A highlight shows where an answer came from, not that it's right. Your reviewer decides and the report records who approved what.
From documents to answers you can verify.
CiteLLM Ask
Search across your document collection and get grounded answers with passage-level citations.
Document search & question answering
CiteLLM Extract
Extract defined fields from documents into structured data, with a source for every value.
Structured extraction · API available
CiteLLM Check · ChatGPT / Claude plugin · Web app
Your AI workflow. With verifiable evidence.
- Review claims against the sourceSee what is supported, contradicted or missing from the document.
- Inspect the original passageOpen the exact PDF page with the supporting text highlighted.
- Keep a review recordExport highlighted PDFs or an evidence report with your sign-off.
Not using ChatGPT or Claude? Ask us about the web app →
Not sure what to ask? See example requests →
CiteLLM app · ChatGPT
PDFNorthwind_MSA_2026.pdf · 42 pages
Check these against the contract:
- The initial term is 36 months
- Either party can terminate on 30 days' notice
- Liability is capped at 12 months of fees
Evidence review
Supported
Initial term is 36 months
"…shall continue for an initial term of thirty-six (36) months…"
p. 4
Contradicted
Termination on 30 days' notice
"…upon ninety (90) days' prior written notice to the other party."
p. 11
Supported
Liability capped at 12 months of fees
"…shall not exceed the fees paid in the twelve (12) months preceding…"
p. 14
Open reviewEvidence report
Example · Contract review inside ChatGPT or Claude.
CiteLLM Ask · Document search
Your document collection. Answers with citations.
- Search across your collectionFind relevant clauses and facts across thousands of documents.
- Follow every citationOpen the source page and review the highlighted passage beside the answer.
- Take the evidence with youReview confidence scores and export the question, answer and sources.
CiteLLM Ask5 credit agreements
Credit agreements
What's the maximum leverage ratio in the Harbor Point facility, and does it ever step up?
The Consolidated Leverage Ratio may not exceed 4.50 to 1.00, stepping down to 4.00 to 1.00 from the fourth full fiscal quarter after closing .
Yes: after a Qualified Acquisition the limit rises to 5.00 to 1.00 for four consecutive quarters .
High confidenceExport audit report
Sources · 2
1Harbor Point Credit Agreement§7.11(a) · p. 87 — "…shall not permit the Consolidated Leverage Ratio… to be greater than 4.50 to 1.00…"
2Harbor Point Credit Agreement§7.11(b) · p. 88 — "…shall be increased to 5.00 to 1.00 for the four consecutive fiscal quarters…"
Interactive example · Select citation 1 or 2 to inspect the evidence.
Every answer sourced, across finance, legal, insurance and real estate.
Security
Your documents stay yours.
Built for regulated teams that need to show an auditor where every number came from, and who can see the files.
No training on your documentsYour files are never used to train models.
Temporary by defaultFiles are deleted after processing unless you choose to keep them.
Self-host for full controlDeploy with Docker in your own environment.
Stop asking "where did that come from?"
Evaluating CiteLLM for your team? We'll run it on your documents so you can judge the results yourself.