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market-intelligence

Free

Deep, cited market research and competitor analysis for a bank OR online retailer: market and segment sizing, competitor product / pricing / campaign moves, trend scans, and where-to-play / SWOT briefs, synthesised fr...

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Overview

Market Intelligence is a generic marketing intelligence system for cited market briefs and competitor analysis. It draws on grounded deep research and an internal research corpus, and is built ports-and-adapters on the Gemini Enterprise Agent Platform. It supports banking and online retail as configurable verticals, and Japan, Australia and Singapore as configurable markets.

Outputs include a MarketBrief with a cited summary, deduplicated claims, scored trends, competitor analysis, and source list for a topic, market, and vertical. A CompetitorAnalysis provides a deterministic competitor-move diff, SWOT, and ranked where-to-play options. Both outputs always set requires_human_review=True.

The system separates deterministic engines from LLM narration. Source/claim dedup with provenance, competitor-move diff, trend scoring, and SWOT / where-to-play synthesis are computed first; the LLM only narrates and drafts over the already-computed result. Every claim carries a citation, and consequential outputs require human review.

Architecture uses a pure-stdlib domain core and typed Protocol ports with interchangeable adapters. Adding a market or vertical is a config + seed change, not a code change. The local profile runs offline with a synthetic corpus, while other profiles use GCP, platform, or on-prem adapters.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

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Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Teams use Market Intelligence to generate cited market briefs for a given topic, market, and vertical.
  • Teams use it to produce competitor analysis with deterministic move diffs, SWOT, and ranked where-to-play options.
  • Teams use it to deduplicate claims and sources while preserving provenance.
  • Teams use it to score trends with recency-weighted momentum and RISING/STEADY/FADING states.
  • Teams use it to run offline development and CI with a local profile.
  • Teams use it to switch backend adapters through a one-line profile change.
  • Teams use it to enforce human review on consequential outputs.

Features

AI assistant

Natural language interface

Workflow automation

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