by Rahimah Sultan

Advertising Disclosure: Marketing Success Review may be compensated in exchange for featured placement of certain sponsored products and services, or your clicking on links on this website. There is no expense to you.

What is AI SEO?

AI SEO refers to using artificial intelligence to enhance SEO strategies (from keyword research to content optimization) while also optimizing your content for AI-powered search engines and platforms.



Why is AI SEO important?


AI is changing how search engines work and altering how marketers implement SEO strategies.

Although AI is changing how SEO works, it will not replace it.

Search engines still need quality content to rank, and users need helpful information. Although AI handles repetitive tasks and data analysis, human creativity, expertise, and strategic thinking continue to be essential. The most successful approach combines AI efficiency with human experience and insight.
The search environment, the buyer journey, and the roadmap to digital success are not only shifting, but they’re being structurally reimagined.

Below is a series of insights into how search is being structurally reimagined.

1. Agentic commerce

We’re moving past the era of AI as an answer engine into the period of AI as an executive assistant.

“Agentic web” means AI won’t just tell you which walking shoes are best, but will actually find your size, apply a coupon, and complete the checkout.

For SEOs, this means optimizing for clicks is no longer the main concern. You have to optimize for machine readability and API compatibility.

There’s already a massive rise in agentic crawlers – AI that searches and acts on behalf of users. You need to prepare now with structured data, clear content hierarchy, and machine-readable data.

AI search will take the next steps to becoming a real marketplace. The LLMs (Large Language Models) will expand paid advertising and other paid partnership opportunities.

With that comes increased transparency and insights into how people are using LLMs within customer journeys. AI search is moving from something that will come to something that’s already here, and it’s having a major impact.

There is no longer a debate about whether AI search matters. What’s changing this year is that AI will stop recommending and start buying. The user never leaves the conversation.  OpenAI open-sourced their Agentic Commerce Protocol. Shopify merchants enable checkout with one line of code.

AI agents will skip you and favor competitors if your product, availability data, and pricing aren’t machine-readable in real time.


2. AI ads

As AI platforms mature, so does monetization through ads. The ad unit has become conversational, whether it’s a sponsored product recommendation within a ChatGPT shopping thread or a paid citation in a Google AI Overview.

AI responses are now everywhere in the Google SERP (Google Search Engine Results Page) – People Also Ask, Shopping, Maps, and more. YouTube, which is already a monetization dynamo, is a major example.

You can expect more intuitive ad integration within these AI experiences in the future, which reinforces the fact that brands need to optimize once and win everywhere.

Although AI ad targeting is limited, you need to establish organic dominance now before the market becomes widespread.

Ads are coming, but the window is now. Google runs ads in AI Overviews throughout 12 countries, and is testing in AI Mode. But brands can’t focus on these placements yet. Google picks who shows up. Perplexity launched sponsored questions, then paused. Today, ChatGPT shopping is organic and unsponsored. Their CFO says ads are coming. Same pattern as early Google. Organic visibility now means dominant position when things open up.

Paid visibility will shift from buying clicks to buying inclusion, and if you’re not already eligible and trusted you’ll pay more and gain less.


3. Tasks

There is no longer a barrier between having a marketing idea and building a marketing tool.

Now, the most successful SEO teams will look less like writers and more like product engineers, with efficiency becoming a competitive advantage.

Teams that automate repeatable digital marketing tasks will compound output and speed, while manual teams fall behind on both cost and time to impact.


4. Teams that automate repeatable digital marketing tasks will compound output and speed.

This year personalization will no longer be a feature and will become the operating system.  Search systems are no longer learning just from queries – they’re learning from you across multiple time vistas. Fast signals like session behavior and immediate intent sit on top of slower, more stable models of how you think, trust, decide, and revisit information over time.

The system is not adapting results but instead, is adapting itself to the user. The workable outcome is that two people asking the same question will get different answers, different sources, and different levels of explanation based on how the system has learned to serve them without friction or failure. This destroys the idea of a single ranking, a single best page, or a single SERP. If your content works only for a generic user, it really works for no one.

This shift is not limited to Google. As users seek more reliable, specialized answers, the search ecosystem continues to splinter across platforms and vertical-specific models.

Performance will vary by audience segment rather than a single SERP position.  Brands can be invisible to high-value buyers even while overall rankings appear stable, creating a hidden pipeline risk.


5. Seo splits

Human vs. agents

SEO and AI search will continue to fragment.

Traditionally, SEO had one goal: to get the click. Websites were optimized so that a human would discover a brand and land on a page.

The industry is splitting into two distinct strategic problems:

Traditional SEO, focused on humans who want to browse, compare, and buy.

AI search optimization, focused on supplying information so AI agents can find, trust, and use it without a user ever visiting the site.

Most people think AI search is just SEO evolving. There will be real tactical overlap for a while. That isn’t the issue. The mistake is treating it like the same strategic problem. SEO is built around earning visibility that converts into clicks, whereas AI search is built around supplying information that can be separated, trusted, and reused without a click ever happening. They keep optimizing for rankings and traffic while the system is optimizing for reliability, composability, and downstream usefulness.

The work still matters, but the reason it does has basically changed, and most people have not caught up to that shift yet. We now live in a world where people form relationships with systems that listen, remember, adapt, and respond with context and continuity. That is not a search problem, but a worldview shift.

The largest risk to the industry now isn’t AI. It’s that we’re ‘trying to fit a baseball bat through a keyhole by applying SEO ranking logic to probabilistic systems.’

You can’t optimize an AI citation like a 2010 keyword. There has to be a pivot in the conversation to what we can actually influence, showing up in the historical training data and winning the real-time RAG (Retrieval-Augmented Generation) layer through basic SEO and brand mentions at scale.

Measuring success only by rankings and sessions risks missing where income is actually influenced.


6. Your trench

Proprietary data becomes your trench. Unique, proprietary, and human-driven content prevails. 

As the value of human experience and owned data continues to rise, the web becomes flooded with AI-generated material.

However, when brands own the data itself, attribution becomes unavoidable.

Commodity content becomes a cost center, while proprietary data and real experience become defensible assets that get citations, trust, and inbound demand.


7. Hiring filter

AI literacy will become a hiring filter.

Since the era of AI novelty is over, adoption and training are critical. Simply using ChatGPT is no longer a differentiator.

Moving forward, winning visibility will be less about pursuing rankings and more about becoming the most usable and trustworthy input for humans, AI answers, and autonomous agents alike. If you invest now in machine-readable data, proprietary trenches (moats), and AI-literate teams, you’ll be among the ones thriving in the future.

This article covers 7 facts about AI SEO and why it is important.


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by Rahimah Sultan

Advertising Disclosure: Marketing Success Review may be compensated in exchange for featured placement of certain sponsored products and services, or your clicking on links on this website. There is no expense to you.

To turn your website visitors into leads, you can offer appealing lead magnets like e-books and checklists in exchange for their contact information via clear call-to-action (CTAs) and optimized landing pages. Use live chat/chatbots for immediate engagement, build trust with social proof (testimonials), and ensure a seamless, mobile-friendly user experience with strategic pop-ups and A/B testing to polish your approach.

When we blog or create any kind of content, the end goal is to create loyal paying customers.


Here are three proven blogging strategies that convert website visitors into customers:

1. Create engaging, long-form, relevant content that adds value. Hone in on the specific problems your audience faces and provide valuable, detailed solutions that show your authority to solve their problem and help them take actionable steps themselves.

2. Solve problems.


3. Be authentic.

Authenticity builds trust. Show the human side of your business, but don’t go into personal details unless a personal anecdote helps to demonstrate your point. Don’t overdo it.



What is lead generation?


A lead is someone who may be interested in the product or service you offer; a potential customer.

Lead generation or “lead gen” is the means of finding potential customers and inviting them to engage with you so they enter your sales funnel.

You’ll need a strategy to find potential customers, get their attention, and capture their contact information.


There are three main components in a lead generation strategy:

1. Target audience

Determine which specific viewer persona you will focus on for each lead generation strategy.

If you have more than one kind of customer, start with your best type and later on add lead gen strategies for other kinds of customers.


2. Platform

For lead generation to be effective, you should go where there’s a high volume of new people who fit your target audience.

You may have a high volume of traffic to your website, but it’s a landing page, not a platform.

Even if you do have a high volume of traffic to your website, you need a lot of new people who aren’t already in your database.

Successful lead gen hinges on using other people’s platforms to find and engage with fresh  potential customers to whom you’re not already exposed.

Newbies commonly make the mistake of focusing on building things on the business’s (blog, podcast, lead magnets, etc.)… which then don’t produce results because the business doesn’t have enough new traffic to their own site.

Even the best content can’t convert if not enough people see it! You need to get people to come to your site from other places.


3. Content and capture

Go to other people’s platforms to get in front of new people and then bring them to your website and get them on your email list so that going forward, you have control over communications with them.

Give away, free, something of value like a webinar, an infographic, a white paper, or a free trial to showcase your expertise, get your lead’s contact information, and continue building a relationship with them.

Then, you’ll need a plan for converting leads to sales, which is a topic for a separate post.


Since there are many other ways to generate leads, explore your options and remember the main principles of lead generation:


1. Go where your target audience is

2. Give them something for free before asking them to buy

3. Capture their information in your own client management software

4. Give them more for free and build the relationship

5. When the time is right, make a sales offer


Success depends on reaching the right people, at the right time, at the right place, at sufficient volume. With some experimentation, you can determine what works well for your business to dial in all those variables.

Once you’ve chosen a lead generation strategy to test, you’ll need software to manage everything for you so you can quickly and easily manage new leads, convert them into clients, and give them such great service that they keep coming back for more.

This article is an overview of a few ways to turn your website visitors into leads for your business.


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by Rahimah Sultan

Advertising Disclosure: Marketing Success Review may be compensated in exchange for featured placement of certain sponsored products and services, or your clicking on links on this website. There is no expense to you.

In marketing, you’re probably used to hearing about the next best thing, and then watching it disappear a few months later.

Although sometimes what is trending becomes the standard; blogging, email marketing, or social media. Each of these was once thought to be a passing fad. Now, they’re the foundation of how you connect with buyers.

So, that’s why you should pay attention.

Digital marketing strategy is rapidly developing due to higher expectations, new tools, and smarter buyers. The strategies that worked a few years ago are beginning lose their advantage.

To remain competitive, you need to understand the direction things are headed, and it’s essential to know how to adjust your approach.

Across the industry, real shifts are being seen, and they’re backed by what forward-thinking companies are already doing and by what today’s buyers truly want.

So, if you’re creating a strategy that’s designed to last, the following are some key digital marketing trends to pay attention to:


1.  The Buyer’s First Touchpoint

In the future, buyers will no longer begin their journey on your website or even on Google. More and more, discovery starts inside AI-powered settings like ChatGPT, Google AI Overviews, and other generative platforms where users compare, research, and validate decisions before ever clicking a link.

This shift changes how digital marketing works. Instead of optimizing only for traffic or rankings, you must now optimize for AI summarization, interpretation, and citation. If your content isn’t authoritative, clear, and structured for machine understanding, it might never surface at the minute a purchaser forms intent.


2.  Content Ecosystems

A significant shift, trending in digital marketing, is highlighting AI-driven content ecosystems. This marketing trend shows interconnected content (pillar pages) outperforming single pieces, which builds topical authority for better AI visibility.

A pillar page is a comprehensive, long-form webpage that serves as a central hub for a broad topic, linking out to more specific, in-depth articles (topic clusters) on related subtopics, creating an authoritative resource for users and search engines, establishing topical authority, and improving site navigation. Think of it as a detailed overview (the “pillar”) with links to specialized chapters (the “clusters”), organized to provide a complete user journey through a subject, like a “Complete Guide to Digital Marketing” linking to posts on SEO, social media, etc. ~ Google search


3.  AI Search Optimization

AI platforms redesign user discovery. A new discipline—Generative Engine Optimization (GEO), also referred to as AI Engine Optimization (AEO)—has become a key focus in digital marketing trends. Unlike traditional search engine optimization (SEO), GEO prioritizes how AI models read, interpret, and cite information as opposed to how algorithms rank pages.


4.  Full Funnel Social Platforms

While analyzing digital marketing trends, social commerce becomes a game-changing influence. This progression in digital marketing trends shows how shopping behaviors are basically shifting. Social commerce is set to transform the way consumers find and buy products, converting social media platforms into new storefronts. This digital marketing trend shows no signs of slowing down. The integration of social media and e-commerce is transforming shopping, making it effortless and more engaging for consumers.


5.  AI-Enhanced Creative

AI will be embedded directly into the content system, which is a major shift in creative production. Modern AI tools help you shape concepts, refine messaging, and adapt visuals across platforms with greater speed and consistency instead of simply producing variations. This development reflects broader trends in digital marketing, as audiences expect higher-quality content, and platforms reward skillful storytelling that fits each format.

With AI increasing the speed of production and improving decision-making, creative teams can focus on strategy and storytelling, as digital marketing trends refocus toward video-first engagement. Campaigns become more cohesive, more adaptable, and considerably faster to implement, which is an advantage as digital marketing trends move toward video-first engagement.

For example: “Side-by-side comparison of “traditional creative workflow” vs. “AI-accelerated creative workflow.”


6.  Omnichannel Marketing

Modernized Omnichannel channel marketing and multi-surface visibility will be prominent trends in digital marketing.

As digital activities splinter across platforms, you can no longer count on single-channel attribution or isolated analytics.

Users will shift seamlessly between search, video, email, social, AI assistants, and offline touchpoints, often interacting with a brand over and over again before converting.

Those using AI for creative adaptation will get better multi-surface presence, thus blending platforms for seamless user experiences.


7.  Brand Authenticity

The drive for authenticity will accelerate because of shifting user expectations, rising skepticism toward overly polished or generic content, and algorithm updates. People don’t want automated campaigns or AI-generated fluff but brands that feel human, credible, and based in real knowledge. So, building a strong brand based on genuine values will be the main differentiator for your business. With competition intensifying and elements becoming easier to duplicate, your brand will be the only true defense to protecting market share. You must focus on developing a unique identity, rather than quality alone, that resonates with your target audience.


8. AI-Driven Hyper-Personalization

Personalization continues to be a priority, but there are now stricter privacy expectations and new federal conditions. Consumers want tailored experiences but are increasingly cautious about how their data is collected and used. The FCC has updated consent rules (effective January 2025) that require clear, written permission before you can send automated marketing messages. This forces marketers to rethink how they build compliant, trust-based communication flows.

Instead of relying on third-party data or aggressive retargeting, marketers are moving toward privacy-first methods built on transparent value exchanges, clear consent, and cleaner first-party data. People are more willing to share information when they understand how it makes things better for them, and those who communicate this clearly keep stronger engagement.


9.  Search Everywhere Optimization

Content discovery is continually and quickly evolving, and search behavior is expanding far beyond Google. Although Google is still the main player, users are now beginning their research across a mix of AI assistants, video search engines, social platforms, and emerging multi-surface ecosystems. This shift requires you to take a broader view of where search happens and how customers find information, because modern discovery is no longer limited to a single platform or algorithm.

AI assistants play a major role at the beginning of research journeys. ChatGPT Search, Perplexity, Google’s AI Overview and others deliver multi-source answers in seconds, sometimes replacing the traditional “scroll through results” behavior. Video-heavy platforms such as YouTube and TikTok will still operate as primary search engines for younger users. In the future, nearly half of Gen Z will prefer platform-native search before turning to Google, and TikTok’s internal search indexes captions, spoken audio, on-screen text, and comments, transforming every video into a searchable asset.

Search everywhere optimization is about meeting customers where they naturally look first.

We’ve covered nine future digital marketing trends in this article. If you choose to use them, AI implementation and search optimization are a good starting point, as these digital marketing trends form the foundation for other advanced strategies.


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by Rahimah Sultan

Advertising Disclosure: Marketing Success Review may be compensated in exchange for featured placement of certain sponsored products and services, or your clicking on links on this website. There is no expense to you.

What is marketing automation?


Marketing automation is using software to systematize recurring marketing tasks and to manage multiple channels.

It uses technology to simplify workflows, improve effectiveness, and to deliver personalized content to customers at the proper time. Marketing automation handles tasks like social media posting, email marketing, and lead nurturing. This allows you to focus more on strategy and creative work instead of manual, time-consuming processes.


Some key functions of marketing automation include:


~ Automating repetitive tasks

Marketing automation software performs several key functions designed to streamline processes, enhance personalization, and improve efficiency across the customer journey. These functions allow marketers to focus on strategy rather than repetitive tasks.


~ Personalizing customer experiences

You can use customer data (browsing and purchase history) to tailor content, suggestions, and offers for a distinct customer experience.


~ Nurturing leads

You can capture leads automatically, mark them based on engagement, and send them personalized content to guide them through your sales funnel until they’re ready to convert.


~ Segmenting audiences

Automatically sort contacts by demographics, purchase history, or behavior to send them very targeted messages.


~ Leads Management

Automatically capture, mark, and nurture leads.


~ Providing analytics and reporting

Use automation to track campaign performance, measure ROI (return on investment), and to gain insights into customer behavior to use for planning future strategies.



Benefits of Marketing Automation


Increases efficiency

Marketing automation increases efficiency and saves time by automating repetitive tasks, such as email, data entry, and social media posting, thereby freeing you up to focus on strategy.

Improves ROI

Marketing automation helps save time by simplifying repetitive processes. It also scales up processes like personalizing messaging for each customer. This would be impossible to do manually. And automation creates added value by freeing up your time to complete higher-value activities like building relationships and strategizing.

These benefits add up to a greater return on investment (ROI)—maybe more than any other marketing investment.

Enhances customer experience

Automation provides a consistent and timely experience throughout the entire customer journey.

Improves email marketing performance

In the late 1990s and early 2000s, when the earliest digital marketing automation platforms were released, they focused on automating email communication.

Even though automation has expanded into social media, ads, SMS, and more, email is still the most popular instance for marketing automation.

You can boost the relevance of your messaging by segmenting your audience, then later, sending them through personalized automated journeys based on their behavior and interests.

These automated journeys are created with a little help from technology to make them as flawless as possible. It’s all about creating a smooth journey for the buyer.

A marketing funnel is equivalent to a travel plan that you create.

A marketing funnel represents the user’s journey from becoming aware of your service or product to taking a desired action, which is usually a purchase.


Why is this representation called a funnel?

It’s because the process of turning users into buyers resembles a funnel. Many users become prospects at the top. Some turn into leads as they go down the path, and others drop out. The farther you proceed down the path, the fewer and fewer users become buyers.



If the funnel is the journey plan, the different stages are the important stops along the way to the final destination. Some depictions may give a different number of stops, but they all come down to four:

1. Awareness: The prospects learn about your brand and its offerings for the first time via SEO content, ads, third-party reviews, social media posts, and related channels.


2. Interest: They show interest in what you’re offering, typically by researching your brand online and seeking more information on your service/products.

3. Decision: They start evaluating what you offer by visiting your website and social media accounts more often, and comparing your products to others in the same category.

4. Action: He makes a purchase or fulfills another requested action.


You probably don’t want everything to end at that point. Long-lasting relationships and repeat customers are basically what enable businesses to last for years and prosper. So, that’s why you want to keep your customers and prospects interested through dependable quality and by making them feel unique and valued.

You need the right digital assets to create a marketing funnel that runs well on its own – a mix of strategies and tools.



What is marketing funnel automation?


Automating your marketing funnel is like having a team of hyper-efficient workers who never sleep, get distracted, or miss a task. But it comes with its challenges.

You’ll have to watch out for the following, which are some of the challenges, while maintaining momentum:


Neglecting personalization

Don’t treat all leads the same. Buyers expect hyper-relevant experiences. So, use purchase history, behavioral data, and engagement signs for personalization, timing, content, and offers.

For deeper personalization and development over time, use progressive profiling (asking for new details with each interaction or visit) instead of using overwhelming long forms upfront.

Ignoring data analysis

Don’t depend on gut feeling instead of metrics

Over-automating interactions

Automation shouldn’t replace authentic engagement, but should amplify it. Use automation for regular follow-ups and nurturing while inserting manual check-ins for high-value leads or late-stage prospects. You should blend live chat with chatbots for seamless escalation from automation to a human.


Making the funnel too complex

Don’t put too many steps or decision branches in your funnel. Use journey analytics to picture paths and identify where leads get stuck or drop out.


Aligning sales and marketing

Be sure to integrate your sales and marketing platforms for a 360-degree view of the customer.


Marketing funnel automation requires patience, time, and learning from data and customer feedback. It isn’t a magic button that makes everything run flawlessly overnight.

When done correctly, automation frees you from repetitive tasks and helps build meaningful connections. The best funnels develop over time.


The primary objective of marketing automation is to create consistent customer experiences, improve engagement, and turn marketing processes into growth drivers.

With the proper marketing automation plan in place, you can eliminate repetitive marketing tasks and focus on business goals that matter, like lead generation, customer retention, and long-term revenue growth.

After reading this article, you might want to consider Using Marketing Automation in Your Business.


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by Rahimah Sultan

Advertising Disclosure: Marketing Success Review may be compensated in exchange for featured placement of certain sponsored products and services, or your clicking on links on this website. There is no expense to you.

At the present time, most areas don’t explicitly prohibit AI-generated content, but there are legal considerations around copyright, disclosure requirements, and intellectual property rights.

How you implement the use of AI writing tools is the key to legality—avoiding copyright infringement, ensuring proper oversight, and following industry guidelines for disclosure.



Is it legal to use AI to write articles?

Using AI to write articles usually isn’t illegal, although the legal landscape is still changing.

As a business owner, you can safely incorporate AI content creation when you follow best practices that prioritize human review and editorial control.

For digital marketers, the main thing to understand is that using AI content generation itself isn’t usually prohibited, but how you use it matters enormously.

The tool is legal, but the application might raise legal questions.

For example, taking photos with a camera is legal, but where and how you take them determines whether you’re breaking privacy laws.


Is AI-generated content protected by copyright law?

Currently, AI-generated content occupies a complicated place within copyright law. In many jurisdictions, copyright protection requires human authorship and creativity, thus presenting a fundamental challenge for content created solely by AI with no human input.

In the UK and the EU, copyright law generally requires a human author for content to be protected.

The US Copyright Office has a similar position and has stated that it will not register works produced solely by AI without the creative input of a human. However, if the content is created with AI assistance that contains ample human direction, editing, or refinement might still qualify for copyright protection as a human-authored piece.

When you’re using AI writing tools to outline content that you then significantly edit, refine, or complete, you’ll probably have stronger copyright claims than if you’re publishing raw AI content.

The essential thing is to demonstrate meaningful human input in the creative process.

Thus creating an interesting dynamic where, legally speaking, having a human-in-the-loop approach not only improves the quality of your content but it possibly strengthens your copyright position.


Do you need to disclose when content is AI-generated?

Both platforms and audiences are increasingly beginning to expect transparency.

Although there is no universal legal requirement mandating disclosure of AI-generated content, Google’s helpful content guidelines emphasize creating content mainly for people rather than for search engines, whether AI is involved or not. The question of disclosure is about legality, trust, and ethics.

Numerous marketing professionals embrace a middle-ground approach. They don’t necessarily label every AI-assisted paragraph, but are open about their content creation procedures in general terms.


Since search engines are continually improving their algorithms, in order to better detect and potentially classify AI content, having a disclosure statement in place future-proofs your content strategy and demonstrates your dedication to transparency.

You don’t have to be apologetic—just simple and factual about your content development method.


Key points for responsible AI content creation

For responsible use of AI content creation, you must balance innovation with ethical and legal issues. As you incorporate AI writing tools into your digital marketing strategy, use these necessary guidelines to remain on the right side of the law and best practices.

The most important thing is to maintain human oversight.

AI should be used as a collaborative process rather than a replacement for human judgment.

This approach will probably strengthen your copyright position and also ensure relevance to your audience.

Use transparency to build trust with your audience.

Although you may not need to label each piece of your content as AI-assisted, a clear policy about your content creation process shows integrity.

Think about including information about your method of developing content on the about page of your website or editorial guidelines.


As a final point, remain adaptable.


The legal environment surrounding AI content is quickly evolving. As new regulations, industry standards, and platform policies continue to change, what’s considered best practice today may be modified. If you have flexible processes and stay informed about changes in this area, you’ll be well-positioned to adapt your method as needed.


Try this viral mailer that pays

by Rahimah Sultan

Advertising Disclosure: Marketing Success Review may be compensated in exchange for featured placement of certain sponsored products and services, or your clicking on links on this website. There is no expense to you.

You can use a good lead magnet to help convert visitors into leads. A lead magnet is a marketing method where you offer resources such as a discount, an e-book, a tool, etc. in exchange for a prospect’s contact information. The primary goal of a lead magnet is to start and further a relationship with potential buyers.

This is an option you can use to turn your visitors into leads.

Read the article here

Try this viral mailer that pays

by Rahimah Sultan

Advertising Disclosure: Marketing Success Review may be compensated in exchange for featured placement of certain sponsored products and services, or your clicking on links on this website. There is no expense to you.

As marketers, we are responsible for generating massive amounts of content every day. But most of us don’t have the budget, staff, or time to publish enough great (or even good) content. So, we do what we can, but it’s frequently impossible to stay ahead of the demand.

Enter content curation

Are you using content curation for your articles?

Content curation is the process of gathering information that is relevant to a particular topic or area of interest, with the intention of adding value through selection, organization, and sharing relevant high-quality digital content with a target audience.


Is content curation a good idea?

Adding content curation to your content marketing mix provides the following advantages:

~ Improves SEO (Search Engine Optimization)

Curated content becomes added indexable pages that offer more entrances into your site through search engines.


~ Establishes Credibility as a Thought Leader

Curated content from high-quality third-party sources helps you create go-to web resources that improve your credibility and trustworthiness as an impartial authority on your subject.


~ Supports Lead Generation

Curated content powers incremental site visits that increase the potential for landing quality leads.


~ Simplifies Lead Nurturing

You can easily repurpose curated content via emails, newsletters, and other avenues to make lead nurturing easy and consistent.


~ Complements Blogging and Social Media

Curated content enhances your social media publishing schedule and helps ease social media conversations with prospects, customers, and also with peers.



What are some curation sources?


You can use a variety of online resources for content curation, social media profiles, trade publications, blogs, news outlets, scientific journals, and more.

Here are some sources for finding relevant and fresh content to curate.

1. Industry-specific email newsletters

For industry-specific newsletters, you can do a Google search using inurl:newsletter. For example, autoresponders inurl:newsletter or whatever niche you desire, and a list will pop up from which to choose.

2. To keep up with current trends and more, all in one place, try Feedly.com

3. Buzzsumo

4. Curata

5. Social media platforms like Pinterest and Digg

6. UGC (user-generated content)

7. For high-quality, relevant content, you can also research authoritative websites.


You can curate content from a wide variety of sources, including blogs, social media profiles, trade publications, news outlets, scientific journals, and more.

Once you’ve curated content, organize it using a well-developed system that’s far more detailed than just the basics. It should include detailed and interconnected information about ideas or things that are related and grouped accordingly.

Content curation isn’t aggregation or content farming – unethical plagiarizing of third-party content.

This article is by no means an in-depth look at content curation, but more of an overview or an introduction to aid in generating content for your target audience.


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By Rahimah Sultan

Advertising Disclosure: Marketing Success Review may be compensated in exchange for featured placement of certain sponsored products and services, or your clicking on links on this website. There is no expense to you.

An autoresponder is an automated system that sends a reply to a customer using certain rules. It can contain from one to a series of emails that go to subscribers’ inboxes after they sign up online for something of yours. The goal of the email is to engage people, as soon as they take an action, through a series of follow-up messages.

You can read this article for more information about using autoresponders in your marketing.

Try this viral mailer that pays

by Rahimah Sultan

Advertising Disclosure: Marketing Success Review may be compensated in exchange for featured placement of certain sponsored products and services, or your clicking on links on this website. There is no expense to you.

There are three things you should do before starting to write a blog article. They are vital steps to writing the kind of article/blog posts your readers want to read and engage with, and for them to start seeing you as an authority and love your content.


1. Choose the correct topic for your article


Figuring out what your audience wants is key. To do this, you can:

Draw on your own experience. What topics were challenging for you when you were new to online content blogging?

Check out what another blogger who is a bit ahead of you writes about, using platforms like SpyFu, Semrush, or UberSuggest and Google Keyword Planner.

Whatever topic you pick to write about must be something your audience will benefit from and one that you’ll also benefit from writing.


2. Research your article topic

Even though you may feel confident and already know a lot about the topic you choose, still, earnestly take this step. You might find a few tips that you can add to your blog article.

To ensure that you stand out from the crowd—which is the objective—you have to know what others are saying. This is one way to get readers who bookmark your blog, to sign up for your email list, follow you on social, and finally buy from you.

After you’re certain about the topic, open a browser, search for that topic, and extensively research it. Do a Google search.

The result page will show you the top-performing pages. Check out the first five or ten or so posts on the SERP (Search Engine Result Page).

Just check out the main points:

Post/page title or headline – Can you write a better one?
Main points – Can you increase the value?

Length – Can you make your article longer while adding something of value?


3. Decide what you want to accomplish with your article

You must define a goal for your article.

As you plan and write your article, continually ask yourself if what you’re writing is doing what it needs to persuade your audience of the objectives.

For example: The title of this post/article is How to Write Great Blog Articles.

My objective is in the title. The process will be laid out as I proceed. I will discuss eight main steps to use when writing an article/post.



What are the steps to writing an article?


1. Outline

Now that you’ve chosen and researched your topic, you need to make an outline. An outline is an overall view of things you want to include in your article, something like a checklist of all your talking points.

2. Title

The title of your article should be 6-12 words or between 50-60 characters to be fully visible in search engine results and not be cut off.

You can use starting phrases like:

How to _ _ _ (How to create, How to start, or How to Make, etc.)

11 ways to _ _ _ (11 Reasons to, 11 Reasons why, etc.)

These are arbitrary numbers.

This is _ _ _ (This is why you should, This is why you need to, etc.)

You can use modifiers in between like easily, simple, amazingly, etc.


3. Introduction

Write an introduction that hooks readers. A great one:

Introduces the article topic

Explains what the reader will be able to do/accomplish/learn from the article

Establishes the reason the reader should trust the author/blogger (establishes the author’s authority)


4. Body

Whether you’re writing a how-to guide or a list post, the body is where you’ll give the real value.

Depending on your topic, consider the following:

Break your content into sections using headers and sub-headers.

Try to touch on more points than your competitors, but only if they’re applicable. Don’t just use filler content. Readers will see through that.

Where applicable, use visuals as some people are visual learners.

Use definitions when you’re using a term that is not common knowledge. Write a short definition to introduce the term to your readers before you write about it.

Lists are great for search engines, so incorporate them when it makes sense and when it will be useful to your readers.

Use references and links. If you have another blog article/post that will help with the current blog post, link it (an internal link). And if you don’t have supporting material, but someone else does, link to that (also called an external link).

Use short paragraphs and also vary the length to avoid monotony.

Use minimal jargon and esoteric speech.

Minimize adverbs, qualifiers, and passive sentences as much as possible.

When using numbers, spell them out for numbers 0 – 9 (three, not 3). Spell out any number over 9 (17, not seventeen).
Italicize the names of books and websites.

Write as you would speak in conversation, using contractions (don’t instead of do not), and reduce grammar expletives.

Add visual breaks like headers and subheadings, and break up long stretches of text within a header or subheader into shorter paragraphs.

Be sure that the body follows a structure and form that helps readers understand and fully comprehend the content.

5. CTA

Conclude your article with a call to action (CTA), which is asking your readers to do something. You can ask them to leave a comment, sign up for your email list, or make a purchase.

6. Optimization

Optimize your article for search engines (SEO) by using seed keywords. These
are your article’s main topic or some variation of it.

Make sure a version of it is:

In your article title

In your blog’s URL slug (the extension to the blog post’s URL after the forward-slash, which you can edit on WordPress using a plugin

In variations throughout your article (about 1-2% of the total word count). This is known as “keyword density.”

7. Edit

You can use Grammarly to edit some of the common errors, such as spelling, punctuation, etc.

When editing your post, be sure that you’ve done everything I’ve stated above.


If you want to learn how to write a great blog article/post that engages your readers and that sets you apart from the competition, focus on providing value to your audience using visual elements to make your post more engaging, and including a clear call-to-action that encourages readers to take the next step.

Although writing an amazing blog article/post takes time and effort, it’s worth it in the end.
You can learn how to write great blog articles by following the tips and strategies outlined in this article, and you can create content that resonates with your readers.


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by Rahimah Sultan

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