How to Automate Your Marketing with AI Tools

By Gil Katz

 Marketing is currently going through monumental changes as AI enables enhancing, optimizing and automating many steps in the process. Following is a summary of the types of marketing activities that AI tools can help with.

• Each one has many providers with subtle feature variations. Looking for the best tools for your needs can become overwhelming and so a useful approach can be to:
• Register for free trial accounts to try multiple providers per feature
• Look for “Lifetime Deals” from upcoming providers to avoid monthly fees

 

1. Brainstorming Tools

• Topics – based on market trends, AI suggests ideas for specific audiences
• Creative Concepts – recommends themes and slogans based on campaign goals
• Headlines – title variation ideas using engagement and click data2. Content Creation

  2.1. Text Writing

Using prompts, keywords and data feeds, AI can write draft content for:

• Website pages
  
• Blog posts
• Article research
• Advertising copy and calls to action
• Social media posts – promotional, seasonal or other theme-based content
• Email newsletters – using data from your website or other sources
• Product descriptions – for eCommerce sites
• Summarize long-form text into shorter segments

2.2. Text Optimization

• Branding – align text with a specific brand style guide, voice and tone
• Translation – generate a draft version in any language for a human translator to review
• Localization – align text with unique local cultures and demographics
• Multi-platform – adapt text for each platform’s format (for example, short text on X)
• Re-phrase – re-write the same message in different words

 

2.3. Image Creation

• Image Generation – from text prompts to any mix of photos, illustrations and styles
• Image Enhancement – from low to high-res quality, or detect / add / remove / edit elements in an image (for example, remove a background or part of an image and generate realistic replacement fill-in instead)
• Brand Identity – generate logo design ideas, typography options, colour schemes
• Social Media Images – with specific dimensions as required for each platform

2.4. Video Content

• Video Generation – from a mix of settings, content elements, scripts and prompts
• Product Videos – turn product photos into videos (for example, jacket photos generating a video of a model wearing it)
• Edit Videos – tools for enhancing footage, adding transitions, captions and more
• Video Scripts – optimized for each platform’s algorithm to maximize views

2.5. Audio Content

• Voiceovers – narration audio in any language, voice and matching talking avatars
• Singing – beyond narration, actual singing in multiple voices for making music
• Background Music – generic music from any musical style
• Featured Music – create full songs to accommodate AI singers
• Intro/Outro – script and audio for podcasts, adjusted for specific audiences

2.6. Interactive Content

• Surveys – generate form questions as a quiz or poll for social engagement
• Chatbots – generate leading questions to manage chat conversations
• AR/VR – include face recognition, augmented reality filters and virtual reality content

 

3. Content Optimization

3.1. Content Conversion & Extraction

• Extract text from an image – even if the text is stylized within the image
• Turn a few photos into a video – to create a product demo or walk-through
• Generate text captions for a video – save dictation effort and time
• Compress image and video file sizes – by extrapolating with minimal visually identifiable differences
• Personalize Images – auto-adjust images in promos for each user based on data (for example, if the user likes the colour blue show them that image in blue)

3.2. Text Optimization

• Grammer – fix errors and improve writing style
• Readability – optimize the text for specific audiences
• Plagiarism – check that the text is not copied from anywhere available online

3.3. Content Personalization

• Personalized Messages – unique text based on user preferences and behaviour
• Segmented Messages – unique text based on general user personas
• Real-Time Messaging – change content based on user interaction

3.4. Content Analysis for Optimization

• Pre-Publishing Analysis – estimate potential views and clicks on specific heading or text
• Post-Publishing Analysis – compare content views with competing content and generate insights on how to improve it for better results
• A/B Testing – generate several versions of content to find out which works best

4. Lead Generation

• Smart Chatbot – that knows the website content, can answer questions and direct chats to capture lead details for next steps
• Identify Prospects – list web visitors and use data to identify anonymous visitors
• Visitor Intent – once a visitor is identified, study their web searches, page visits, time spent and more to tailor direct outreach to them via automated chat messages, emails or other methods
• Lead Scores – compares visitors to the optimal target market and shortlist leads
• Automate Prospecting – auto-send messages across multiple channels including emails, Linkedin connection requests, SMS, phone calls, WhatsApp and more
• Targeted Videos – generate personalized video messages per lead
• Lead Magnets – generate eBooks and other content to attract engagement
• Social Media Promos – generate social promos that lead to engagement
• Sales Forecasts – use past data to predict campaign lead conversion
• Influencer Outreach – auto-identify influencers and contact them

5. SEO Optimization

• Keywords – identify and analyze high ranking content and improve based on it
• Content Scores – analyze your content and suggest updates to improve SEO
• Meta-Data Updates – auto-improve image alt tags, descriptions and more
• Schema Generation – for web pages to tell Google about them
• Voice Search Results – analyze Google voice searches and optimize for that
• Auto-Refresh Content – identify old content and auto-update it for SEO optimization

6. Analysis and Insights

• Optimal Timing – recommend the best times for social posts or email campaigns
• Optimize Email Delivery – avoid emails going to spam with advanced tools (checking for spam words, rotate email servers and more)
  Competitor Analysis – identify keyword opportunities and auto-update content
• Find Influencers – for your target market and product or service
• Public Sentiment – find out what people think about brands and topics
• Optimize Prices – compare competitor pricing to identify opportunities
• Detect Ad Fraud – to minimize paying for fake clicks
• Customer Insights – analyze and segment your and competitor’s data
  Estimate Ad Results – analysis for ad result prediction based on input
• Listen to Social Media – analyzes competitor social content to find trends
• Analyze Images – ability to identify brands, people, locations and more in an image

There are incredible opportunities and challenges in this new AI-based marketing environment and as the proverb says “the early bird gets the worm” – the sooner your organization embraces AI tools, the more competitive it will be. Good luck!

Gil Katz is Director of Operations at Giant Step and MentorEase mentoring software.