{"id":23651,"date":"2024-06-24T12:02:28","date_gmt":"2024-06-24T11:02:28","guid":{"rendered":"https:\/\/www.polarisagency.com\/marketing-insights\/automation-through-ai\/"},"modified":"2024-11-11T12:54:57","modified_gmt":"2024-11-11T12:54:57","slug":"automation-through-ai","status":"publish","type":"post","link":"https:\/\/www.polarisagency.com\/us\/marketing-insights\/automation-through-ai\/","title":{"rendered":"Automation through AI"},"content":{"rendered":"

Automation through AI: A New Era in Marketing<\/h2>\n

Marketing automation is not new, however AI is now part of the marketing <\/strong>vocabulary, with many content creators and brands using AI to create short-cuts to scale out content quickly. <\/strong>This evolution has revolutionised how businesses approach digital marketing strategies.<\/p>\n

 <\/p>\n

The Role of AI in Modern Marketing Strategies<\/h3>\n

Tools like ChatGPT and similar AI technologies are increasingly important to optimising content creation processes. For insights into leveraging AI for marketing efficiency, explore how an SEO Agency<\/a> can integrate these innovations into your strategy.<\/p>\n

 <\/p>\n

Optimising Content Creation with AI Tools<\/h3>\n

AI gets a bad rap; it is simply a technological development that people abuse because everyone wants to \u201cincrease productivity\u201d without having to think. Marketers have become lazy.<\/p>\n

AI content systems such as ChatGPT have been around for some time with many existing in the SEO sector \u2013 scraping websites feeding this data into an ML language model so the tool can learn how to better optimise the page. This is something that used to cost around \u00a3100 per month but after ChatGPT this tool does it better and far cheaper.<\/p>\n

 <\/p>\n

Google’s Response to AI-Generate Content<\/h3>\n

The recent algorithm update as part of the web spam team aims to eliminate \u201clow quality\u201d scale out content such as ChatGPT outputs. Like I say, marketers have become lazy \u2013 most just copy and paste the output from ChatGPT and spend ages being clever building complicated prompts.<\/p>\n

 <\/p>\n

Understanding Google’s Deep Learning and Algorithm Updates<\/h4>\n

 <\/p>\n

Google is not dull. In 2014, Google acquired DeepMind a UK based AI research laboratory to further develop their deep learning capabilities. In 2015, they created AlphaGo an algorithm to beat an 18-times world champion in the game Go a simple game in concept but generally regarded as more difficult than chess due to the size of the board and the possible configurations a player can make. It has been stated that there are more possible board configurations in Go than there are atoms in the universe. Since then, there have been further developments in the AlphaGo model.<\/p>\n

Challenges of Relying on AI for Content Creation<\/h4>\n

 <\/p>\n

Google have gone on record stating that they use deep-learning models from around 2015 within their search algorithms to aid information retrieval and provide most times the top 20 pages in the SERPs.<\/strong><\/p>\n

Therefore, it would be na\u00efve to believe (as many SEO\u2019s do on social media) that Google wouldn\u2019t be able to spot AI content without even trying that hard. In fact, although these tools are basic a free AI pattern detector can with relative ease spot AI content.<\/p>\n

 <\/p>\n

Detecting AI Content: Google’s Approach<\/h4>\n

 <\/p>\n

In fact, forget that an SEO practitioner can easily spot AI content as there are certain words, phrase structures and NLP factors that are so plain to see that it wouldn\u2019t take Google long to build a script into their algorithm to find these.<\/p>\n

Also don\u2019t forget ChatGPT is trained on the same basic language model as Google was many years ago. Google is smart, has its own data and has approx. 10 years gain on OpenAI.<\/p>\n

 <\/p>\n

Common Patterns of Penalised Sites<\/h3>\n

There is a general statement used within data science \u201cif a human expert can spot the pattern it is generally not worth the effort or time for data science to \u201cdiscover\u201d.<\/strong><\/p>\n

Machine learning algorithms exist to assess large data-sets to discover complex patterns undetectable by the human eye. All Google would have to do is a) feed in human rater signals checking suspected AI content or b) create thousands of prompts into OpenAI to pull the outputs into a ML dataset for it to run through multiple programmes to define a common sentence structure and common words not used that commonly within its corpus of billions of sites.<\/p>\n

For example, if a word \u201ccraft\u201d is not used that frequently outside its parent topic sector \u201ccrafting, making something\u201d and used on B2B sites in a less frequency than the baseline then Google could easily test the assumption that this term is more AI than natural.<\/p>\n

Recent sites penalised by the web spam team as below had the following patterns:<\/strong><\/p>\n

\/100% published AI content<\/strong>
\n\/90% use of AI generated articles within copy<\/strong>
\n\/Sites promoted through social showing AI content being used<\/strong>
\n\/Use of ad content<\/strong>
\n\/Multiple low quality programmatic pages (non-AI but pattern based)<\/strong>
\n\/New sites, low DA having thousands of pages in a short-time frame<\/strong>
\n\/Sites created using expired domains for ranking purpose onl<\/strong><\/p>\n

So best to stay away from unnatural site scale out and unhelpful content.<\/p>\n

 <\/p>\n

Leveraging AI for Marketing Success in 2024\/25<\/h3>\n

How can AI help marketers in 2024\/25:<\/strong><\/p>\n

\/ChatGPT, Claude, etc. <\/strong>can be used for research and feeding datasets into the engine to prompt specific results
\n\/Perplexity <\/strong>\u2013 citations and higher quality source data
\n\/Content AI tools <\/strong>\u2013 checking coverage of terms based on sector\/topic
\n\/Image AI <\/strong>\u2013 no more use of stock imagery
\n\/Video editing <\/strong>\u2013 ideal for social, content marketing and podcasts
\n\/Python scripts <\/strong>\u2013 automation of SEO tasks (plus build your own tools so you know \u201cexactly what is in there\u201d
\n\/Sora <\/strong>\u2013 create videos from text new product from OpenAI
\n\/Zapier <\/strong>\u2013 automate data inputs into your email\/internal messaging channels (Teams\/Slack) or build datasets based on filtered records to integrate into project management\/ CRM\/marketing reports<\/p>\n

<\/h3>\n

Best Practices for Using AI in Marketing<\/h3>\n

Looking ahead, AI continues to redefine marketing strategies, from content creation to data analysis and automation. Embracing AI tools like ChatGPT and others can enhance productivity and innovation in your marketing efforts. However, marketers must balance efficiency with maintaining content quality to avoid penalties from search engines like Google\u2019s recent algorithm updates.<\/p>\n

For assistance integrating AI into your digital strategy, consider consulting with an Ecommerce SEO Agency<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Automation through AI: A New Era in Marketing Marketing automation is not new, however AI is now part of the marketing vocabulary, with many content creators and brands using AI to create short-cuts to scale out content quickly. This evolution has revolutionised how businesses approach digital marketing strategies.   The Role of AI in Modern…<\/p>\n","protected":false},"author":3,"featured_media":23652,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[273,274,276,277],"tags":[],"class_list":["post-23651","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-ecommerce","category-seo","category-the-digital-world"],"acf":[],"yoast_head":"\nAutomation through AI - POLARIS<\/title>\n<meta name=\"description\" content=\"Discover the impact of AI in marketing automation and SEO strategies for 2024. 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