Why trusted data is the foundation of deep research

LSEG’s own Deep Research in Workspace brings this capability to life, delivering structured, finance-grade research natively within a professional environment designed for market participants.

Deep research is advancing fast. From OpenAI’s GPT-5.2 now powering deep research in ChatGPT to LSEG’s Workspace Deep Research, users  can run more structured enquiries, connect to approved apps, focus on specific sources, steer the work in real time, and review outputs in a full-screen report format.

But in financial services, better’ research isn’t the same as meaningful trusted research.

Trusted and meaningful research produces actionable insights, deep information finance professionals can take into an investment committee, a risk meeting, or a client conversation, and defend with confidence. That requires three things: proven trusted data sources, governed access, and clear provenance  — transparency around what data was used, when, and under what permissions.

That’s exactly why LSEG is making its licensed, AI-ready data accessible inside ChatGPT through its MCP connector. From LSEG Financial Analytics e.g., Yield Book to Reuters News summaries, company fundamentals, estimates, macroeconomic data  — with more to be announced — LSEG brings trusted content into the deep research workflow.

LSEG’s Workspace Deep Research delivers structured, finance-grade research natively within a professional environment designed for market participants. Bringing the highest standards of financial governance together with the deepest analysis. 

For analysts and portfolio teams, it means building research packs faster without sacrificing rigour. Powered by LSEG’s MCP, deep research can pull together an earnings preview or post-results recap that combines the narrative (what matters and why) with the underlying numbers and context, including peer comparisons, in a format that’s ready to reuse in an investment committee, a client discussion, or internal notes. The key difference is that the “so what” is anchored in licensed, permissioned data, not stitched together from fragmented sources.

For M&A and Industry coverage bankers, deep trusted and meaningful research uncovers emerging trends and generates new ideas that underpin new mandates while helping senior and junior bankers deepen their analyses, improve their valuation advice and suggest better deal structures to create value and de-risk critical transactions for their C-level clients. 

For Debt Capital Markets, Equity Capital Markets and Leveraged Finance bankers, it enables an unprecedented insight into the pricing dynamics of comparable instruments to help bankers introduce better structures, more refined pricing targets and better timing while targeting more relevant demand pockets to ensure more successful, optimized and smoother capital formation across a wider spectrum of instruments, currencies and geographies.

For risk teams, trading desks, and market-facing roles, it makes the “what changed?” question far more efficient. When markets move quickly, teams need an explanation that’s attributable and reviewable. Deep research can consolidate the relevant market context and licensed news signals into a single report that separates noise from drivers, highlights what is confirmed versus speculative, and frames clear watchpoints for the next 24–72 hours.

And for macro, treasury, and multi-asset decision-makers, it turns geopolitical and macro-economic events into scenarios you can pressure-test. Instead of producing generic commentary, deep research can structure a scenario set, map potential cross-asset implications, and keep the logic transparent, so teams can act with confidence.

A key advantage of doing this inside deep research is that outputs aren’t static. The report format supports “interactive artefacts” tables you can extend (add a peer, swap a metric, rerun a scenario) and charts you can regenerate as assumptions change without leaving the workspace. That makes research easier to update, easier to review, and easier to hand off.

And we’re only at the start. The ambition is clear – LSEG Everywhere. Meeting our customers where they work, while keeping entitlements, governance and auditability front-and-centre.

Deep research becomes exponentially more valuable when it can operate using trusted, governed data, and not just rely on whatever happens to be available on the open web. That’s the shift we’re excited about: moving from unreliable answers to verifiable analysis, delivered in a workflow LSEG’s customer’s already use, and anchored in the depth, breadth and quality of LSEG’s financial data, analytics and news.