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Prompt

What should I use if I want one search box for everything?

Technology / Search & Discovery Tools1 observationLast seen Oct 7, 2026

Latest observation

Oct 7, 2026OpenAI APIWeb search: off

If you want one search box for everything, the simplest and most common choice is:

A universal search / global search box

It lets users search across:

  • products
  • pages
  • documents
  • contacts
  • help articles
  • anything else in your app

If you mean implementation options:

  • Single search bar with filtering behind the scenes
  • Full-text search using a search engine like:
    • Elasticsearch
    • OpenSearch
    • Meilisearch
    • Algolia
  • For smaller apps:
    • your database’s built-in search
    • e.g. PostgreSQL full-text search

If you mean UI pattern:

Use a global search box in the header, often with:

  • autocomplete
  • recent searches
  • category suggestions
  • keyboard shortcut like Ctrl+K or Cmd+K

If you want, I can recommend the best option based on your app size and tech stack.

Brands

ElasticsearchOpensearchMeilisearchAlgolia

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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