Context engineering teams invest hours crafting detailed prompts, layering brand voice, constraints, and specific instructions to ensure AI-generated content aligns perfectly with brand values and business objectives. Yet, when it comes to target-account search, many revert to overly simplistic formulas:

𝐼𝑛𝑑𝑢𝑠𝑡𝑟𝑦 + 𝐾𝑒𝑦𝑤𝑜𝑟𝑑𝑠 → 𝑞𝑢𝑖𝑐𝑘 𝑙𝑖𝑠𝑡 𝑖𝑛 𝑡𝑜𝑜𝑙𝑠 𝑙𝑖𝑘𝑒 𝐴𝑝𝑜𝑙𝑙𝑜 → 𝑜𝑝𝑡𝑖𝑜𝑛𝑎𝑙 𝑣𝑎𝑙𝑖𝑑𝑎𝑡𝑖𝑜𝑛 𝑤𝑖𝑡ℎ 𝑎 2–3 𝑠𝑒𝑛𝑡𝑒𝑛𝑐𝑒 𝑝𝑟𝑜𝑚𝑝𝑡 𝑖𝑛 𝐶𝑙𝑎𝑦 𝑜𝑟 𝑛8𝑛.

That's shallow compared to the rigor we apply in content engineering.
To fully harness the potential of Gen AI for precise account targeting, you need prompts infused with 𝑑𝑒𝑒𝑝, 𝑑𝑒𝑛𝑠𝑒, 𝑎𝑛𝑑 𝑑𝑖𝑟𝑒𝑐𝑡𝑖𝑣𝑒 vectors, essentially, the ICP equivalent of a carefully structured content brief.

🔍 Step into discover-like account search

With DiscoLike, you can search using long-form, detailed ICP descriptions, not just keywords:

➡️ Use NL-match: Feed in a multi-paragraph ICP, including firmographics, technographics, recent triggers, and growth signals, and identify look-alike domains based on deep embeddings, not superficial keyword matches.

➡️ These embedding vectors, derived from comprehensive web content, SSL metadata, and growth patterns, are 𝑑𝑒𝑛𝑠𝑒, 𝑠𝑒𝑚𝑎𝑛𝑡𝑖𝑐𝑎𝑙𝑙𝑦 𝑟𝑖𝑐ℎ, 𝑎𝑛𝑑 𝑑𝑖𝑟𝑒𝑐𝑡𝑖𝑣𝑒, mirroring content-engineering practices.

➡️ The deeper and more precise your ICP description, the better the results, just like detailed prompts improve AI-generated content.

✅ Why this matters:

👉 Precision over noise: Instead of broad industry hits, you precisely match the DNA of your ideal customers.

👉 Content-engineered coherence: Your ICP prompts carry the same strategic depth as your content briefs.

👉 Scalable repeatability: Define once, refine continuously, reuse widely, extending the structured rigor of content engineering into account discovery.

✅ 𝑩𝒐𝒕𝒕𝒐𝒎 𝑳𝒊𝒏𝒆:

Stop treating account search as an afterthought. Apply the meticulousness of content engineering to build deep ICP vectors. With DiscoLike, you transform fuzzy targeting into engineered precision, connecting you directly with your ideal accounts.

💡 Curious how to craft ICP-for-LLM prompts or streamline this pipeline? Let’s chat, drop a comment or DM.