Traditional Search
e.g. Google, Bing
Good for: Quick, top-level searches on any topic.
Delivers noise, not signal. You spend hours filtering irrelevant results.
Forces you to piece together a story from fragmented blog posts and news articles.
Lacks the synthesised insights needed for confident decision-making.
No ability to structure or export data, forcing manual copy-pasting.
High Effort, Low Context
Wastes your time on manual, low-value work.
LLM Web Search
e.g. Perplexity, ChatGPT, Gemini
Good for: Generalised search and research queries.
Not fine-tuned for business intelligence; treats business data like any other general query.
Prone to hallucination on niche, specialised business context.
Cannot access private or proprietary data sources, giving you an incomplete picture.
Gives you a generalised picture, not structured, actionable business insights.
General, Not Specialised
Lacks the deep context your startup needs.
Generalised, not business-focused
Data Platforms
e.g. Crunchbase, Beauhurst, Pitchbook
Good for: In-depth, granular data for dedicated insights.
Priced for enterprises, making it inaccessible for most startups and SMEs.
Provides static data points, leaving you to build the market narrative yourself.
Overkill for the daily, rapid context checks that startups and sme teams need.
Designed for comprehensive diligence, not rapid research-to-insight workflows.
Powerful, but Heavy & Costly
Too much for the rapid insights you need.
Expensive enterprise tools
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