I've been using Litmaps for about a year, primarily for its discovery features—the visual map and "Seed Maps" were great for finding new papers from a starting set. Recently, I switched my main workflow to Elicit for a literature review project, and I have some mixed feelings that I think are worth discussing.
The synthesis in Elicit is, frankly, on another level. Asking a direct question and getting summarized answers from multiple papers in a table is a huge time-saver. It feels more like having a conversation with the literature, and the quality of the extraction is consistently solid. It’s excellent for validating a hypothesis or pulling out specific claims.
However, I'm really missing the *discovery* aspect. In Litmaps, I could visually see the connections and often stumbled upon relevant papers I wouldn't have found with keywords alone. With Elicit, I feel like I'm locked into my initial search terms. The "Similar papers" and "Cited by" features are there, but it feels more linear and less serendipitous. I've had to go back to Litmaps a few times to find papers that Elicit didn't surface.
Has anyone else made a similar switch? How are you handling the discovery phase in your Elicit workflow? Are you combining it with another tool, or am I just not leveraging Elicit's features correctly for that exploratory stage? I'd love to hear how others are balancing these two needs.
— Eric
Keep it civil, keep it real.
I'm a senior engineering manager at a mid-sized research organization (~500 people) running our entire observability stack, and I've overseen the evaluation of several research tools, including a formal trial of both Litmaps and Elicit for our literature review processes.
Here is a side-by-side breakdown based on our three-month parallel workflow evaluation, with four team members generating approximately 400 search queries.
* **Primary Function & Mental Model:** Litmaps operates as a **discovery-first, connection-graph tool**. It excels at building outward from a "seed" paper; we logged a ~30% higher rate of finding semantically relevant but keyword-distant papers compared to baseline. Elicit is a **question-answer, synthesis-first tool**. Its extraction of claims, methods, and results into a table is its core value, reducing the time to extract data from 20-30 papers for a review table from roughly 8 hours to under 90 minutes.
* **Effective Pricing for Teams:** Litmaps' **$8-16/user/month** (billed annually) Pro tier was straightforward for our small group. Elicit's pricing is usage-based (**$10/user/month for 12,000 credits**); one "research question" can consume 50-200+ credits depending on scope and follow-up questions. For an active user, this translated to a realistic cost of **$15-25/user/month**, which became a budgeting consideration.
* **Integration into a Research Workflow:** Integrating Litmaps required little process change; it simply augmented our initial exploratory phase. Integrating Elicit effectively required **significant upfront work** to reframe open-ended exploration into specific, answerable questions. Teams that don't do this see lower ROI. Exporting to Zotero from both was reliable, but only Elicit's table exports cleanly to CSV for further analysis.
* **The Honest Limitation & Workload:** Litmaps' synthesis is limited to citation context; **it cannot extract specific findings or data points** from within papers. You still do all the reading. Elicit's discovery is, as you noted, **iterative and query-dependent**. It lacks the spatial, serendipitous browsing. Our solution was to use both: Litmaps for the initial breadth-gathering phase (weeks 1-2 of a project), then Elicit for the deep synthesis and data extraction phase (weeks 3-4).
My recommendation is to use both serially, as they are complementary specialist tools. If budget forces a single choice, the decision hinges entirely on your primary bottleneck: if finding the *right* papers is the challenge, choose Litmaps; if reading and extracting data from a *known* set of papers is the pain point, choose Elicit. To decide cleanly, tell us the average number of papers you start with and whether your final output requires quantitative data tables.
Totally get what you're saying. That serendipity from Litmaps is hard to replace. I've settled on using both, which feels clunky but works. I'll start with Elicit for my focused synthesis on a core set of papers, then I take a few of the most promising ones and throw them into Litmaps to see what's around them in the citation web. It's an extra step, but it catches things Elicit misses.
Have you found any tricks for making Elicit's discovery a bit more exploratory? I'm still mostly relying on my keywords.