A superior autocomplete search technology

With Algolia’s autocomplete functionality, users generate new, relevant autocomplete predictions with every keystroke. Our autocomplete feature lets them stop typing in the search field, and from the dropdown, select what they’re seeking, with the result being a better, more interactive search process and user experience.

Precise auto-suggest recommendations

Autocomplete suggestions help searchers by offering longer queries below the text box based on what they start typing as a partial query. People who use autocomplete get suggestions that are more precise. That precision, in turn, produces more-accurate results so the searcher can more efficiently select the web page, content, or products they’re seeking.

Increase user satisfaction with mobile autocomplete

With autocomplete search, you reduce the number of keystrokes needed for on-the-go users to enter in their iOS or Android mobile devices. Less time typing and trying to avoid typos in a user interface on a mini screen means more time finding the right results. As an online retailer or informational site, you can increase engagement and optimize your user experience with stellar, fast mobile search.

Personalized autocomplete functionality

You can always show your users popular searches. One step better: leverage search history. With Algolia Personalization, you can provide an individual level of relevance on the autocomplete list of suggestions shown to each user based on their expressed interests, gleaned from their previous search terms and enrichment data.

Mine all your data sources

Query Suggestions works with multiple autocomplete data sources in order to always provide the best auto-suggest queries to your users.

Tailor autocomplete suggestions to what’s in your catalog

To help users access the information, content, or products they need fast, Query Suggestions analyzes your indices, including the attributes for filtering and faceting, so you can provide search suggestions for the right content category (and never point to a no-results page).

Learn from users’ search queries

Suggested queries are generated and ranked based on what your users search for and how they use the autocomplete function to refine their searches. This data is updated daily. And when you combine use of auto-suggest with our Personalization product, suggestions are further refined based on each user’s affinities and profile.

Tap your trove of data

You can pull in Google Analytics or use your other external analytics tool of choice to further refine your auto-suggest feature to meet user needs, giving them the quality of autofill results they’d get from doing an Amazon or Google search.

Configure to your needs

You can fine-tune Query Suggestions for your key use-case scenarios.

Upgrade your merchandise suggestions

You can use rules to boost specific suggestions in your autocomplete search feature, such as for trending items on your e-commerce sites. Another option: displaying banners in rich autocomplete for specific keywords or contexts. Plus, you can create synonyms to give users the best autocomplete options with related keywords, even if they enter search terms that aren’t in your catalog in the search box.

Eliminate problematic keywords

You can ban any keywords that you don’t want appearing in suggested user queries. Query Suggestions also takes this a step further and ignores multiple repeated similar queries from the same IP address.

Control advanced functionality

Take charge of your granular query-suggestion settings, including which attributes to show in users’ text search suggestions, the minimum number of characters required in the text field for a suggestion to be surfaced, and more.

 

The most advanced companies experiment everyday with relevance rules

Recommended content

Huckberry improves conversions and revenue with Algolia AI Personalization

Learn how adopting a host of rich Algolia features has helped Huckberry grow revenue and improve conversions.

B2C ecommerce personalization trends

The majority of business leaders list personalization as an integral part of their ecommerce strategy to meet rising customer expectations for tailored online experiences.

How Kiabi accelerated their omnichannel strategy with Algolia

Hear how Kiabi transformed their omnichannel strategy to achieve a 15% increase in click-through rates, while effortlessly halving their “no result” rates...

Algolia Autocomplete FAQs

Probieren Sie die KI-Suche aus, die versteht