Research-backed content at production speed. The evidence base journalists, YouTubers, newsletter writers, and podcasters need to publish with authority — without spending weeks lost in the literature.
You want to be the creator people trust. But producing genuinely research-backed content means navigating a world built for academics, not publishers.
Hours of searching with no structure. You find 10 papers, skim 3, cite 1, and hope it's representative. There's no way to know what you missed or whether the paper you picked is the outlier.
Your audience fact-checks you. One wrong claim, one cherry-picked study, one retracted paper — and the credibility you spent years building is gone. The comments section doesn't forgive.
Linking to a paper you half-read isn't evidence synthesis. It's decoration. Your audience can tell the difference between someone who understands the research and someone who Googled a supporting quote.
A full evidence synthesis pipeline — the same methodology used in academic systematic reviews — delivers results in a format ready to turn into content.
Everything you need to turn research into content — without reading a single paper yourself.
Key findings, numbered and ranked by evidence strength. Written to be narrated, not decoded. Use it as the backbone of a video script, article outline, or podcast segment.
Verified quotes you can use verbatim. Every quote is programmatically checked against the original paper — no paraphrasing, no hallucination risk. Attribute with confidence.
Structured data for every paper: methodology, sample size, key findings, confidence scores. Perfect for building charts, infographics, comparison tables, and data visualisations.
Complete BibTeX and RIS files for all included papers. Link every claim in your content to its source. Your audience can verify — and they'll find you were right.
Send me follow-up questions any time and get cited answers back quickly. Like having a research assistant on retainer for every new angle.
Ask me to test your claims before you publish — I'll filter by year, method, or study quality and tell you if the finding still holds.
I provide visual network diagrams showing how studies connect, agree, and disagree. Great for explaining complex topics to your audience.
Every engagement includes follow-up support. New content angle or a challenged claim? Send the question — the answer comes back against the same verified corpus.
Send me any angle — "What's the strongest counter-argument?", "Which study has the biggest sample size?", "What did the 2024 papers find?" — and I'll send back a cited answer quickly. No waiting for a full new report.
Ask me to stress-test your thesis before you publish. I'll remove weak studies, filter by methodology, restrict to the last 5 years — and tell you if your claim still holds. If it does, say so with confidence. If it doesn't, I just saved your credibility.
I'll provide a visual map of the research landscape. Which studies agree, which disagree, and why. Papers are nodes, shared findings are connections, and disagreements are visible fault lines. Perfect for explaining "here's where the science stands" to your audience.
The same evidence synthesis powers articles, videos, podcasts, threads, courses, and books. Here's how the research translates to what you actually produce.
Use the research brief as your outline. Drop in verified quotes. Link every claim to its source. Your Substack or blog post becomes the most well-sourced piece your readers have ever seen.
Key findings become your narrative beats. The evidence table gives you on-screen data for B-roll. The evidence map is a visual you can screen-share or animate. "According to a meta-analysis of 47 studies..."
Walk into interviews knowing the full evidence landscape. The source pack gives you specific quotes to reference. The What-If explorer lets you prep for guest pushback.
Each key finding is a tweet. Each verified quote is a screenshot-worthy source. The numbers from your evidence table are built for engagement. One research brief = 10+ threads.
Build curriculum on a foundation of structured evidence. The reference library lets students go deeper. The evidence table becomes a teaching resource. Requery for each module.
Build an evidence base per chapter. Ask the Corpus lets you explore angles as you write. Every claim in your manuscript has a traceable source before it reaches an editor.
Once the evidence base is built, follow-up questions are answered in minutes. Each new angle produces a fresh brief — same verified corpus, new framing.
| Dimension | You Researching | AI Summary (ChatGPT etc.) | Evidensity Research |
|---|---|---|---|
| Time spent | 6–20 hours per topic | 5 minutes | Zero (I do it for you) |
| Sources checked | 5–15 papers (if you're thorough) | Unknown / unverifiable | 300–2,000 papers |
| Fact-checkable claims | Partially — you know your own sources | ✗ Hallucination risk | ✓ Every claim traceable |
| Audience trust | Depends on your diligence | Erodes when caught | ✓ Fully verifiable |
| Follow-up angles | Start over each time | New prompt, no memory | Unlimited, same corpus |
| Visual assets | Make your own | ✗ None | ✓ Evidence map, data tables, charts |
| Verified source quotes | If you copy-paste carefully | ✗ Often fabricated | ✓ Programmatically verified |
| Disagreement awareness | Depends on what you found | ✗ Usually omitted | ✓ Structured with attribution |
Every claim traces back to a specific paper, a verified quote, and a credibility score. Evidence synthesis your audience can audit.
Every claim linked to a specific paper with verified quote. Your audience can check.
Methods, results, confidence, credibility — structured for charts and infographics
One evidence base powers articles, videos, podcasts, threads, courses, and books
Send the question your next piece of content is built around to evidensity.research@gmail.com. Evidensity will scope the evidence landscape for free — no cost, no commitment.
Free landscape scan on your topic. See the evidence before you decide.
Full evidence package. Research brief, source pack, evidence table, and ongoing support.
Regular content research. New topics, follow-up angles, and priority turnaround.