CiteTrue vs CiteSure
CiteSure is the citation-verification product from Jenni AI, an established academic writing tool, and it does the core job properly: paste a bibliography, get each reference checked, and see AI-suggested replacements for the ones that fail. The difference shows up in what you get per pound, and in whether you can finish a paper in one go.
Why our verdicts hold up
Most citation checkers hand the whole judgement to a language model and show you what it says. Models hallucinate — that is the very problem this category exists to solve — so we put the model last, not first.
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1. Parse, don’t guess
Every reference is split into its parts — authors, title, year, journal, DOI — by a parser built for citation formats, not by asking a model what it thinks the title is.
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2. Look it up in the authorities
The parsed reference is queried against Crossref and OpenAlex, and against the open web when a reference has no DOI. What comes back are real records with real identifiers.
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3. Score the match deterministically
Candidate records are scored with a Sørensen-Dice similarity over title tokens. A record counts as a match only if the title score clears 0.7 and the author list agrees — a year mismatch is reported as a notice, never quietly accepted. The same reference always produces the same score.
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4. Only then, ask a model
A language model is called only when the deterministic pass finds no authentic match — to read the candidates and the source text and decide whether anything fits. It is the fallback, not the judge. That ordering is why a hallucinated verdict has nowhere to enter: by the time a model is involved, the evidence is already on the table.
The practical consequence: a reference marked authentic here matched a real record on title and authors, and you can open that record. It is not a model's impression of whether the citation looks plausible.
How fast it gets through a bibliography
Checking one reference means several lookups across different sources. Doing that one reference at a time is what makes a tool feel slow on a long bibliography, so we run them in parallel and stream the results back.
- References checked in parallel
- 20 at a time in the app, 100 through the API
- A 50-reference bibliography
- Goes out as three waves of parallel lookups, not fifty queued ones
- Results as they land
- Streamed per reference — you read the first verdicts while the rest are still running
- Bulk work
- A supervisor’s stack of theses runs through the API at five times the app’s concurrency
What the money buys
CiteTrue
- Free
- $0
- Plus
- $9.99/mo, or $5.99/mo billed yearly
- Pro
- $19.99/mo, or $11.99/mo billed yearly
- Max
- $79.99/mo, or $47.99/mo billed yearly
- Credit packs
- From $9.99, one-off
30 references per day — about 900 a month
1,000 references per month
3,000 references per month
20,000 references per month
500 to 50,000 references, valid for six months — no subscription needed
CiteSure
- Free
- £0/mo
- Pro
- £29.99/mo (about $38)
- Expert
- £79.99/mo (about $101)
5 verifications a month, up to 3 references per batch — 15 references a month
500 verifications a month, up to 50 references per batch
1,000 verifications a month, up to 100 references per batch
CiteSure figures taken from their public pricing page on 2026-08-15. Prices change — check theirs before deciding.
What it actually costs you
Headline prices are hard to compare when the two products count usage differently. Here is the same work priced on both sides — including the case where they come out cheaper.
| What you are doing | CiteTrue | CiteSure |
|---|---|---|
| One paper a month (~40 references) | Free — it fits in a single day’s allowance | The free tier covers 15 a month, so this needs Pro: £29.99 |
| A dissertation plus revisions (~800 a month) | Still free — 900 a month on the free tier | Pro, £29.99/mo |
| A supervisor screening 30 theses a month (~1,500) | Plus at $9.99, or Pro at $19.99 with room to spare | Pro, £29.99/mo (about $38) |
| Heavy bulk work, batches always full (10,000+ a month) | Max at $79.99 for 20,000 references | Pro at £29.99 covers it — if you always fill each batch to 50, their per-reference cost is lower here |
Side by side
| What you are comparing | CiteTrue | CiteSure |
|---|---|---|
| Free allowance | 30 references every day, about 900 a month | 15 references a month (5 batches of 3) |
| Can the free tier finish one paper? | Yes — a typical 20–50 reference paper fits in a single day’s allowance | No — 3 references per batch means a 40-reference paper takes 14 batches, nearly three months of free quota |
| Entry paid plan | $9.99/mo for 1,000 references | £29.99/mo (about $38) for 500 batches |
| References per submission | No batch limit — paste the whole bibliography | Capped per plan: 3 free, 50 on Pro, 100 on Expert |
| How you are charged | 1 credit = 1 reference, so a short list costs less | Per verification run, whether the batch holds 1 reference or 50 |
| Pay without subscribing | Credit packs from $9.99, valid six months | Subscription only |
| Where you can use it | Web, Chrome extension, macOS app, API and MCP server | Web |
| Interface languages | 11 languages | English |
| Replacement suggestions when a citation fails | Yes | Yes |
| How a verdict is reached | Deterministic matching against Crossref and OpenAlex first — a model is only asked when that finds nothing | Described publicly as AI-powered analysis |
| Same reference, checked twice | Same score, same verdict — the matching step is not probabilistic | Not stated |
| Parallel processing | 20 references at a time, 100 through the API, streamed as they finish | Not stated |
So which should you use?
If you already pay for Jenni AI and only check a handful of references a month, CiteSure sits conveniently inside a tool you use. If you are checking whole bibliographies — your own thesis, a stack of student papers, a journal submission — CiteTrue is both cheaper and free of the batch limit that makes a 40-reference paper into a chore.
Check your references now
30 references a day, free, no card. Paste a bibliography and see for yourself.