A startup has released a new way to make websites smarter, smarter search engines and smarter blog posts.
Search engine optimization company Ahoy Labs says its new AI is built to help users find and share the content they’re looking for.
The AI uses machine learning algorithms to find more relevant content for users, and to improve the quality of those results, it says.
Ahoy has been testing the AI at sites like Reddit, BuzzFeed and Medium, which it says is helping to drive more engagement for its sites.
The company says it has plans to release the new AI at other publishers, as well.
Ahorlabs founder and CEO, Daniel H. Lydon, told The Verge that he hopes to launch the AI technology at major publishers within the next year.
That’s because it’s difficult to scale the AI from one company to another, Lydons company says.
In the past, when the company had to work with companies like Google and Facebook to scale up its AI for a website, it had to use existing technology like Google’s Search Console, a tool that allows users to manually create custom search queries.
Google and the other companies used to build AI solutions for these search queries, but that wasn’t a very efficient way to use these search engines.
Now, it’s easier for companies like Ahoy to use AI for search queries because they have the same infrastructure to scale and test their solutions.
Lythons company is hoping to use the same AI infrastructure to build a better search engine that uses machine-learning to help search engines rank content.
The problem with using machine learning to rank content is that it’s expensive, and sometimes, when companies want to rank a site more efficiently, they have to pay extra for the machine learning.
That could cause a user to leave a site, which could cause the site to become a less-relevant one, said Lythos.
AhoLabs says the AI can help with that.
It can be trained to detect keywords and content in a given search result, then provide a recommendation that is based on that keyword and content.
It’s based on its prior knowledge of the site, but it can also learn about new topics that might be relevant to that topic, Lythnos company said.
Aholabs says its AI can also use machine learning in the content it ranks, like a blog post.
For example, if a search for “cheap car seats” finds articles on the subject, the AI might suggest buying car seats at a discount.
But if a searcher goes to a site that says “cheaper car seats,” the AI will recommend the cheaper options instead.
The search engine could even recommend specific products or services that might make you more comfortable using a particular product, Lothons company said in a blogpost.
The goal is to make it easier for users to find content they care about, rather than to rank search results that are less relevant or not relevant to the search queries they’re searching for, Lytons company explained.
The new search engine also has more sophisticated analytics capabilities, like how much time people spend on a site.
It learns when people are on a website for a longer period of time and when people return to the site after that time, which can be used to help improve the search engine.
“We think it’s a very good way to enhance your site’s relevance and your engagement with content,” said Lydo, who has a Ph.
D. in computer science from Harvard University.