Can AI replace Scite?
The AI classification of a citation as supporting, contrasting or mentioning is a solvable NLP task, but the product's real value is the licensed full-text corpus across 40+ publishers plus preprint servers, kept current and cross-referenced at scale. No individual or small team can replicate that data-access moat; a DIY build only works on open-access papers, which is a small fraction of the literature that matters for a lot of fields.
01What it costs
Checked Aug 10, 2026 · source: scite.ai. Free account allows searching the citation database plus one report and one visualization per month, but reports can't be exported.
02Could AI build it for you?
The core job: Pull open-access full text (arXiv, PubMed Central, bioRxiv) for a paper's cited works, then use an LLM to classify each citing sentence as supporting, contrasting or neutral.
What a working version needs:
- OpenAI/Anthropic API key
- access to open-access full-text sources (arXiv, PMC, bioRxiv)
Closest honest consolation build only covers open-access literature; paywalled-publisher coverage is the part that can't be cloned.
03What you'd give up
- coverage of paywalled publishers (Wiley, Cambridge, Wolters Kluwer, etc.)
- pre-built citation database spanning hundreds of millions of citation statements
- retraction/correction flags sourced from Crossref and PubMed
- browser extension overlay on Google Scholar and journal pages
- reference-check tool for uploaded manuscripts
Researchers pay for reliable, broad coverage of paywalled literature and for a maintained, cross-checked citation graph rather than re-scraping and re-classifying papers themselves every time.
04Free and cheaper alternatives
Free academic search engine with citation graphs and TLDR summaries, though without support/contrast classification.
semanticscholar.org →Free aggregator of over 200 million open-access research papers with full-text search.
core.ac.uk →05The build prompt
Read the verdict first: this one is hard to get right.
The complete build prompt, plus 11 step-by-step prompts from research to launch, a design system file, a page-by-page spec, the data model and a launch checklist.
Get the Build Kit · $9 →One-time payment. Delivered on screen and by email.
06Free open-source starting points
- Semantic Scholar API: free API with citation graphs and some citation-intent classification for open-access papers
Prices change; confirm on the vendor's site before you decide.
Get new verdicts in your inbox.
One short email when new verdicts land: what AI can now do for you, and what it still gets wrong. No spam. Unsubscribe anytime.