Deep Research
Compare brands, categories, and markets in one workflow. Every claim stays linked to its sources so stakeholders can verify without chasing files.
Product
The research your team couldn’t do before
Asking the right question is often as hard as finding the answer. Merciv helps with both — across every source you connect, with every finding cited.
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Connect the sources your team already uses
Merciv connects the platforms where you source, store, and manage data — plus social, review sites, and the open web.
Built to operate at a scale general AI tools can’t reach
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Files an agent can reason across in a single context
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More sources analyzed at runtime than a single-model build
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Connectors to internal, syndicated, and external systems
Research
Ask anything. Get answers you can defend.
Ask in plain language. Merciv retrieves across the sources you connect, weighs evidence across data types and time ranges, and returns structured answers with source links and confidence scores.
Web & Social Search
Query Reddit, TikTok, Instagram, X, Google Trends, Amazon reviews, and the open web in a single pass instead of tab-hopping and reconciling notes by hand.
Internal Document Search
Ingest PDFs, presentations, reports, and datasets. They live in the same index as external signals, so search, synthesis, and citations stay in one place.
Personas
Load segmentation into interactive personas. Ask plain-language questions grounded in real behavior instead of re-running the same slice in a static deck.
Track
You decide what matters. Merciv keeps track of it for you
Define brands, SKUs, categories, and competitors once. Merciv runs on the cadence you set and surfaces changes with enough context to brief someone who never opened the platform.
Product Hub
One portfolio view for every SKU: performance, sentiment, and competitive context, without reconciling exports from five different systems.
Stories
Automate recurring briefings on the schedule you set. Same structure each cycle, owned topics, and less time assembling slides from scratch.
Alerts & Signals
Get flagged on sentiment moves, competitor launches, and emerging behaviors with enough context and suggested next steps to brief someone quickly.
Deliver
Deliverables from the same cited research layer
Generate PowerPoint, Word, and Excel from runs you have already validated in Merciv. Citations, charts, and recommendations carry through so stakeholder review doesn’t mean rebuilding the appendix.
Executive Presentations
PowerPoint built for leadership review: charts, competitive framing, and recommendations traced back to the underlying research runs.
Research Reports & Briefs
Word and PDF for wider distribution, with citation trails, confidence scores on material claims, and explicit recommendations your team can defend.
Data Exports
Structured Excel outputs for analysts who model in-house or hand results to an existing BI stack without re-keying tables.
What makes Merciv different
Broader context. Sharper answers
Broader context increases accuracy, not noise. Merciv processes across document types, data sources, and websites at a granularity general-purpose tools aren’t built for.
Provenance by design
Attribution is built into the processing pipeline, not reverse-engineered after the fact. Every finding traces to its source with confidence scoring at each stage.
Intelligence that compounds
Each new signal is interpreted against everything the system has already processed. Pattern recognition sharpens over time, not just with each query.
Frequently asked questions
Several layers, queried together: the open web (news, trade publications, analyst coverage, company sites); social platforms (TikTok, Instagram, YouTube, X, LinkedIn, Reddit, Facebook); ad intelligence libraries and Google Trends search data; cross-retailer price and review data; leading syndicated research providers; and anything you upload, like PDFs, decks, syndicated reports, and internal briefs.
Most AI tools retrieve from your files using vector search, which starts losing accuracy and hallucinating once you get past a few dozen documents. That’s the same ceiling you hit with most enterprise AI tools on SharePoint. Merciv works differently. When a file is uploaded, an agent reads it, understands what it covers, and maps how it relates to everything else in your library, then keeps that structure current on its own. That’s what lets Merciv reason across an enterprise-scale library instead of a handful of files, and it works on anything, from spreadsheets and CSVs to a deck that’s nothing but images.
Down to the page and paragraph. For a finding pulled from a report that runs hundreds of pages, Merciv points you to the exact passage it came from rather than the document it lives in, so you can verify it in seconds instead of scrolling.
Two ways. Answers aren’t generated by a single model. Merciv runs a set of LLMs that check each other’s work, and every output is grounded in your connected sources with confidence scoring and a full reasoning trail. The result is meaningfully more reliable than a single-model tool built in-house on one provider.
Yes. Load an old segmentation study, raw response data, or research transcripts, and Merciv turns them into living, chatable personas you can keep interrogating, including pressure-testing messaging or campaign ideas against each segment before you invest in qual. Static research becomes something your team keeps using.