Prompt
what should I use for search with autocomplete and filters?
Latest observation
If you want search with autocomplete + filters, the best choice depends on your scale and needs:
Good default options
- Algolia — best out-of-the-box for fast autocomplete, typo tolerance, faceting, and great developer experience.
- Meilisearch — simpler and cheaper alternative, very good for autocomplete and filters, easier to self-host.
- Elasticsearch / OpenSearch — best if you need maximum flexibility, complex filtering, analytics, or already use the Elastic stack.
Quick recommendation
- Small to medium app: Meilisearch
- Need polished UX and don’t mind cost: Algolia
- Large/complex search needs: Elasticsearch/OpenSearch
What matters for autocomplete + filters
Look for:
- Fast prefix search
- Facet/filter support
- Typo tolerance
- Ranking control
- Instant response time
- Good SDKs/UI components
If you’re building this yourself
A common architecture is:
- Search engine for autocomplete and filtering
- Frontend UI with debounced requests
- Facets for filters like category, price, brand, etc.
If you tell me:
- your stack,
- data size,
- whether you want hosted or self-hosted,
- and your budget,
I can recommend the best specific tool.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations 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.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.