An AI market research tool is only as good as its sources. AI for Research answers market, technology and policy questions from research papers and the open web, cites every claim, and shows how a field has grown over time. It is for R&D, strategy, consulting and policy teams who need the evidence behind a market, not just the headlines.
Three jobs you can do here
1. A cited report on a market or technology question
Ask a question such as "How mature is solid-state battery manufacturing, and what limits scale-up?" Choose All papers and Web, and Deep depth (15 credits). You get a 2,500 to 4,000-word report with figures, built from about 250 papers screened and 12 read in full, plus web sources in their own tab. Detailed (45 credits, paid plans) runs 5,000 to 8,000 words with a study table from 90+ papers; you review its plan of sub-questions before it starts.
2. Map the research landscape
Landscape (free) shows a topic's works per year, top topics, journals, authors, institutions, open-access share and most-cited works, all from OpenAlex. Compare two topics side by side, for example "perovskite solar cells" and "tandem solar cells", to see which is growing faster and which institutions lead.
3. Turn the report into a deck and share it
From the result, Make slides under Build on this opens Slides (10 credits): a deck with speaker notes and a references slide, downloaded as PowerPoint on paid plans. Move the report and deck into a project and invite colleagues as Can edit, Can comment or Can view.
How it works, step by step
- Set your role to Industry or policy so reports are pitched for a professional reader.
- Ask at Deep depth with All papers and Web. Add Preprints for fast-moving fields. Use filters for years (for example the last five) and peer-reviewed only.
- Read the tabs. Cited lists the sources used, All read lists everything screened, Web lists the web pages. Ask follow-up questions (1 credit each).
- Run Landscape on the same topic to check the report's picture of the field against publication counts.
- Build the deck. Choose Make slides under Build on this, review the deck on screen, and download the .pptx.
- Share. Move the work into a project and invite your team by email.
Example (invented): a strategy analyst asks "What is the evidence that plant-based meat reduces greenhouse gas emissions compared with beef?" at Deep depth with All papers and Web. The report summarizes the life-cycle assessments, notes where the studies' system boundaries differ, and lists the industry reports from the Web tab separately from the peer-reviewed studies. Landscape shows publications on the topic by year, and a 12-slide deck goes to the team for a Monday meeting.
The workspaces you will use
| Workspace | What you do with it | Credits |
|---|---|---|
| Deep Research | Cited reports from papers and the web | Summary 1, Deep 15, Detailed 45 (paid), High quality ×3 (Pro) |
| Research landscape | A field's output, leaders and growth; compare two topics | 0 |
| Find Papers | Search with filters; save to the Library | 0 |
| Research slides | A deck from a report, PowerPoint download | 10 |
| Projects | Shared folders for a team | 0 |
| Citation Map | Who builds on a key paper | 0 |
Which plan fits, and a month worked out
An analyst running a few reports a week fits Pro: 1,500 credits a month, 40 Deep or Detailed reports a day with 3 at once, High quality mode (×3 credits) and unlimited projects with 10 people each, for $29 a month or $228 a year. Plus ($12, 750 credits, one report at a time) suits lighter use. Teams of three or more can use Team: 2,000 credits a seat pooled, shared projects and Library, set up through sales.
Example month (invented, on Pro): a technology scouting analyst.
| Job | How many | Credits |
|---|---|---|
| Detailed report, High quality | 1 | 135 |
| Detailed report | 1 | 45 |
| Deep reports with Web | 8 | 120 |
| Summary answers | 30 | 30 |
| Follow-up questions | 20 | 20 |
| Slide decks | 4 | 40 |
| Landscape, paper search, Citation Map, projects | any | 0 |
| Total | 390 of 1,500 |
AI-use rules that matter to you
- Confidential material. Follow your company's policy on external AI tools. Do not upload documents under NDA, unreleased financials or customer data without approval. AI for Research does not use your documents to train AI.
- Check before you quote. Every claim cites a source, but AI text can overstate a finding. Open the source before a number goes into a board deck.
- Say where it came from. If a client or regulator asks how a report was made, state that AI drafted it from cited sources and a person checked it.
- Patents and legal questions need a professional; this is not a patent or legal search tool.
What it does not do
- No market sizing data, survey panels or paid databases such as Gartner or Statista. Public economic series, SEC filings and US patents are in Official Sources; patent results are not a freedom-to-operate opinion.
- The Web source reads open pages; it cannot read paywalled reports or sites behind a login.
- Paywalled papers are read from the abstract.
- It does not forecast. Reports summarize published evidence.
Who else it is for
Academic teams, see AI for professors. Health and life sciences, see AI for medical research.
Economists and analysts, see AI for economics research for FRED, OECD, US Treasury and SEC data. R&D and IP teams, see the patent search tool page for USPTO PatentsView. Chemistry and life sciences teams, see AI for chemistry research and AI for biology research.
Learn more
- What is deep research AI?
- The best AI for deep research
- How to check a claim against the research
- Patent search for researchers
Last updated 2026-11-13