Your GenAI is Only as Effective as Your Enterprise Search...
GenAI solutions live or die on search, and brittle retrieval quickly shows up as hallucinations, partial answers, and broken trust.
To win, you’ll need strong, intelligent search foundations that let GenAI reliably find, rank, and reason over the best possible data.
The Challenge
Most organizations have years of investment in search and data platforms, but those foundations weren’t built for GenAI and raise tough questions like:
- Where is our GenAI search experience strongest today, and where is it failing users in real workflows?
- Which data sources, indexes, and tools matter most for GenAI quality, safety, and consistency?
- How should we evolve from traditional keyword search to semantic, vector, and agentic patterns?
If your search and retrieval foundations aren’t GenAI ready, you'll struggle to deliver reliable, high-quality answers at scale.
Our Solution
The Searching Your GenAI Data Assessment is a structured, lightweight digital diagnostic that:
- Maps how your current keyword, semantic, and vector search capabilities support high-value GenAI use cases.
- Surfaces misalignment and gaps in how teams index, connect, and retrieve data for GenAI.
- Provides targeted recommendations to optimize search quality, coverage, and architecture for more reliable, intelligent GenAI solutions.
In a single hour, you move from “we know search is important” to “we have a clear roadmap to enable intelligent search across the full scope of our company's data".
Areas of Focus
- Foundational Keyword & Semantic Search – Assess how well lexical, semantic, and hybrid search handle real user queries..
- Tool Integration & Agentic Search – Understand how your search layer orchestrates tools, APIs, and agents.
- Multi-Step Approaches – Evaluate your ability to chain queries, refine results, and support multi-step reasoning.
- Fusion Search – Gauge how effectively you combine results from multiple indexes, engines, and modalities.
- Embedding & Metadata Search Techniques – Review the quality of your embedding strategy, metadata design, and filters.
- Structured & Graph-Based Data Search – See how easily GenAI can access and navigate structured records, relationships, and knowledge graphs.
- Distributed Search – Examine how scalable, resilient, and consistent your search experience is.
Targeted Acceleration Guides
> 800 actionable resources to accelerate your GenAI journey, including:
- A brief description of each capability or practice
- Why it’s important and why it’s challenging at scale
- The typical complexity to solve
- Three actions to take based on your specific level of readiness
- Key watch‑outs and common pitfalls to avoid
- The benefits you can expect when you close this gap
How it Works
- Take the assessment – Purchase and complete the Searching Your GenAI Data diagnostic for your organization or team.
- Review your results – See your scores across each area of focus and compare your search and data foundations with data-driven benchmarks.
- Unlock your Acceleration Guides and action plan – Access targeted recommendations with concrete actions, watch-outs, and next steps to strengthen your GenAI search stack.
Outcomes You Can Expect
- A clear GenAI search capability profile, with strengths and gaps across search quality, coverage, and architecture.
- Visibility into your highest-risk retrieval gaps, where missing data, weak relevance, or poor metadata drive hallucinations or inconsistent answers.
- Prioritized data and search investments so teams focus on the use cases that unlock the biggest GenAI impact first.
- A practical action plan with concrete steps to improve retrieval and design better GenAI-powered experiences.
- A way to track progress over time as your search foundations, customer experience, and GenAI outcomes improve.
This is the Solution for You, if:
- You’re responsible for data platforms, search, or GenAI product experiences.
- Your GenAI solutions are returning partial answers, “I don’t know,” or hallucinations.
- You need a clear, evidence-based case for investing in search and data infrastructure, not just adding more GenAI features.