{"id":17286,"date":"2023-01-06T09:20:25","date_gmt":"2023-01-06T09:20:25","guid":{"rendered":"https:\/\/www.searchenginejournal.com\/ai-for-seo\/474165\/"},"modified":"2023-01-06T09:20:25","modified_gmt":"2023-01-06T09:20:25","slug":"ai-for-seo-can-you-work-faster-smarter-via-sejournal-martinibuster","status":"publish","type":"post","link":"https:\/\/marketingnewsbox.com\/?p=17286","title":{"rendered":"AI For SEO: Can You Work Faster & Smarter? via @sejournal, @martinibuster"},"content":{"rendered":"
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AI for SEO<\/a> is at a tipping point where the technology used by big corporations is increasingly within reach for smaller businesses.<\/p>\n

The increasing use of this new technology is permanently changing the practice of SEO today.<\/p>\n

But is it right for your business? These are the surprising facts.<\/p>\n

What Is AI For SEO<\/h2>\n

AI, or artificial intelligence, is already a part of our daily lives. Anyone who uses Alexa or Google Maps is using AI software to make their lives better in some way.<\/p>\n

Popular writing assistant Grammarly is an AI software that illustrates the power of AI to improve performance.<\/p>\n

It takes a so-so piece of content and makes it better by fixing grammar and spelling mistakes and catching repetitive use of words.<\/p>\n

AI for SEO<\/a> works similarly to improve performance and, to a certain degree, democratize SEO by making scale and sophisticated data analyses within reach for everybody.<\/p>\n

How Can AI Be Used In SEO<\/h2>\n

Mainstream AI SEO platforms automate data analysis, providing high-level views that identify patterns and trends that are not otherwise visible.<\/p>\n

Mark Traphagen<\/a> of seoClarity describes why AI SEO automation is essential:<\/p>\n

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\u201cA decade ago, the best SEOs were great excel jockeys, downloading and correlating data from different sources and parts of the SEO lifecycle, all by hand.<\/p>\n

If SEOs were doing that today, they\u2019d be left in the dust.<\/p>\n

By the time humans can process \u2013 results have changed, algorithms updated, SERPs shifted, etc.<\/p>\n

And that\u2019s not to mention the access and depth of data available in this decade, fast-paced changes in search engine algorithms, varying ranking factors that are different for every query, intent-based results that change seasonally, and the immense complexity of modern enterprise websites.<\/p>\n

These realities have made utilizing AI now essential at the enterprise level.\u201d<\/p>\n<\/blockquote>\n

AI In Onsite Optimization<\/h2>\n

AI SEO automation platform WordLift helps publishers automate structured data, internal linking, and other on-page-related factors.<\/p>\n

Andrea Volpini<\/a>, CEO of WordLift, comments:<\/p>\n

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\u201cWordLift automatically ingests the latest version of the schema vocabulary to support all possible entity types.<\/p>\n

We can reuse this data to build internal links, render context cards on web pages, and recommend similar content.<\/p>\n

Much like Google, a publisher can use this network of entities to let the readers discover related content.<\/p>\n

WordLift enables many SEO workflows as the knowledge graph of the website gets built.<\/p>\n

Some use WordLift\u2019s NLP to manage internal links to their important pages; others use the data in the knowledge graph to instruct the internal search engine or to fine-tune a language model for content generation.<\/p>\n

By automating structured data, publishing entities, and adding internal links, it\u2019s not uncommon to see substantial growth in organic traffic for content creators.\u201d<\/p>\n<\/blockquote>\n

AI For SEO At Scale<\/h2>\n

AI for SEO can be applied to a wide range of activities that minimize engaging in repetitive tasks and improves productivity.<\/p>\n

A partial list includes:<\/p>\n