How to use AI & ChatGPT for Article writing & blogging? 16 Effective Strategies

AI tools like ChatGPT are a must-have for bloggers and content creators. 63% of marketers now use AI for content writing and search rankings. AI-driven content strategies have also seen 70% increase in efficiency, making it a game changer for digital marketing.

AI simplifies content creation by brainstorming blog topics, analysing user intent, and researching key facts or different parts of the blog topic. AI-based large language models such as ChatGPT create structured content plans that cover all subtopics, so articles are topically rich and match with the site’s reputation. 

AI also improves readability by simplifying complex ideas, summarising key takeaways and using a conversational tone to boost engagement.

Beyond writing, ChatGPT, Perplexity, Gemini, and Copilot can proofread, fact check, optimise keywords and identify content gaps. 

ChatGPT generates FAQs, creates social media posts, drafts video scripts and writes persuasive call-to-actions to boost conversions. AI can even help with designing interactive tools like tax calculators for accounting websites.

But AI needs human input. Over-reliance on automation can lead to search penalties as Google prioritises unique, high-quality content. AI-generated images also need to be post-processed with branding to avoid deindexing.

How to Use ChatGPT for Topic Brainstorming and User Intent?

ChatGPT can refine topic ideas by analysing a broad topic from multiple angles. The refining and analysis process helps find new keyword intents. 

To bring topical depth to your article, you can uncover different user intents by modifying the main topic with who, what, when, where, why and how questions. For example, instead of just writing about “Car Insurance”, AI can help generate variations like “Who needs temporary car insurance?”, “How does mileage impact insurance premiums?” or “When is the best time to switch car insurers?”

ChatGPT can also identify real-world scenarios that trigger user searches. A person might search for “tax planning tips” because of an upcoming financial year-end or “how to fix a misfiring engine” after a warning light appears.

Understanding search motivations ensures your content directly addresses user needs, increasing relevance and engagement. 

AI-assisted brainstorming also improves content depth, covering subtopics that competitors may miss and helping you gain topical authority and ranking benefits.

GPT Prompt for topic brainstorming

Use the following ChatGPT prompt to perform topic brainstorming. analysing a topic from a wider perspective will ensure higher information coverage and better topical relevance.

I’m working on creating content around a broad topic. I want to refine this topic, uncover different user intents, and brainstorm content ideas that provide deeper coverage and higher relevance.

Please do the following:

1. Break down the broad topic from multiple angles.
   
2. Suggest user intent variations using question formats like who, what, when, where, why, and how.
   
3. Generate real-world search scenarios that might lead someone to search this topic.
   
4. Recommend subtopics or content sections that would increase topical depth and authority.
   
5. Make sure the suggestions cover both common and overlooked aspects of the topic.
   

The main topic is: [Insert Your Topic Here]

How to Use AI for Research and Fact Checking?

AI tools like ChatGPT, Copilot and Wiseone simplify research by gathering key facts, statistics and expert opinions from multiple sources. Instead of manually skimming through dozens of pages AI can extract relevant insights, saving time and ensuring content accuracy.

Here’s how you can use artificial intelligence for informative research

• Deep Research with AI: AI can summarise articles, studies and industry reports, so writers can extract the most valuable information.
• SERP Analysis & Takeaways: Chrome extensions like Wiseone scan Google’s top search results, highlighting key insights, data points and patterns.
• Comparing Multiple Sources: AI tools detect conflicting information, so fact checking can be done from authoritative sources.
• Identifying Missing Insights: AI can analyse existing content and suggest knowledge gaps, so content is comprehensive.
• Citing Authoritative Sources: AI can suggest references from government websites, academic papers and industry leaders to strengthen credibility.

How can AI help develop a semantic content plan for better rankings?

AI tools like ChatGPT can create structured content plans by mapping out all user intents, subtopics and semantically relevant entities. A semantically developed content plan ensures depth, relevance and keyword coverage so that content ranks higher and gains Google’s trust.

Here’s how you can develop a semantically rich content plan using ChatGPT

• Identify Core & Subtopics: AI can break a main topic into logical sections, covering all angles users may search for.
• Analyse User Intent: By modifying queries with Who, What, When, Where, Why and How AI identifies different reader motivations.
• Expand Semantic Coverage: AI suggests related LSI keywords, NLP terms and missing entities, to strengthen topical relevance.
• Target Featured Snippets & PAA: Covering low-volume and zero volume queries helps secure Google’s People Also Ask (PAA) positions and featured snippets.
• Ensure Contextual Flow: AI structures topics logically and maintains content hierarchy and semantic relationships for better indexing.

Important Note: Do not use any tools to develop your topical map. Creating a topical map would require a deep understanding of the business, competitors, service placement, and customers’ expectations. AI tools cannot create a semantic topical map that helps Google’s knowledge brain.

How can AI improve article writing by handling different sections?

AI can simplify content creation by generating different parts of an article. You may generate writing for the different parts following the SEO structure. AI tools like ChatGPT, Copilot and Gemini allow you to draft any portion of your content with topicale depth writing, and you can later rewrite that portion of your article to fit into your article.

Instructing AI to write entire content is always a bad decision, especially if you’re aiming to bring LSI keywords and semantically relevant topics into the article for better relevance.

Best practices to use ChatGPT for article writing:

• Break Down Sections: Assign AI to write headings, intros, conclusions, FAQs and summaries, so each part serves its purpose.
• Optimise for User Intent: Direct AI to answer queries immediately at the start of each paragraph, improving readability and relevance.* Avoid Generic AI Patterns: Experiment with different AI models to keep sentence structures varied, tone and engagement levels different.
• Add Value with AI Research: Ask AI to include data, statistics and references from credible sources and reduce fluff. Use ChatGPT deep research or CoPilot deep research to collect data to be used in the article.
• Refine and Humanise: Use AI for editing, paraphrasing, and formatting and manually add insights for authenticity and originality.

How can AI improve readability by paraphrasing and formatting content?

AI large language model tools like ChatGPT, Copilot and Gemini can improve content readability by paraphrasing complex sentences and structuring information into bite sized formats. These refinements improve user engagement and help capture Google’s featured snippets.

According to Google’s Quality Raters guideline 2025, AI-written content is considered bad when the writings do not address user intents, offer organised information, and produce irrelevant words.

You can still produce genuine humanlike articles using ChatGPT by following simple steps.

• Convert Dense Text into Bullet Points: AI can break up long paragraphs into concise, scannable lists, so readers can absorb key takeaways.
• Paraphrase for Clarity: AI can reword complex sentences while preserving meaning, improve readability without losing depth.
• Summarise Information Efficiently: ChatGPT can extract key insights from long sections and turn them into quick summaries.
• Keep Natural Flow: AI can reformat text while keeping it conversational and engaging, in line with NLP best practices.
• Boost Reader Retention: Well structured, easy to read content reduces bounce rates and improves on-page SEO metrics.
• Avoid commonly used ChatGPT words such as – Nevigate, As a language model, Overall etc.

Here’s the evidence. We used AI (with human intervention) to rank a website last year.

How to use ChatGPT to maintain a consistent writing style?

AI tools like ChatGPT, Copilot and Gemini can analyse writing patterns and replicate a consistent tone and structure across content. This ensures readability, engagement and NLP optimisation.

• Apply Conversational Tone: AI can mimic natural speech patterns, make content more relatable and engaging.
• Use Real-World Examples and References: AI can suggest contextually relevant examples, add clarity and depth.
• Maintain Structural Consistency: AI can format content with uniform sentence structures, paragraph lengths and transitions, improve flow.
• Adapt Writing Styles Based on Audience: AI can fine tune language to formal, semi-formal or casual tone depending on the target readers.
• Enhance NLP Processing: Google’s algorithms favour human-like writing and AI driven pattern adoption improves search rankings.

So, before instructing ChtGPT to write about a topic, research. Train your GPT to adopt any good-quality writing pattern and then instruct to write.

Can ChatGPT proofread and fact-check your content?

Yes, AI tools like ChatGPT, Grammarly, and Copilot can proofread and fact-check content for you, ensuring accuracy and readability.*

 AI detects and corrects typos, punctuation errors and awkward phrasing, improving clarity. Use AI in the following ways for better productivity.

• Fact Verification: AI can cross check key facts, statistics and claims if provided with a source list, ensure reliability.
• Readability Improvement: AI simplifies sentence flow, removes redundancy and complex sentences for better user experience.
• Tone and Consistency Check: AI checks tone and writing style, makes content engaging and coherent.
• SEO Compliance: AI optimises keyword placement and checks for plagiarism risks, helps maintain originality.

How can ChatGPT distribute keywords and LSI naturally?

ChatGPT can optimise content by distributing keywords and Latent Semantic Indexing (LSI) terms. For instance, the GPT will add related topic while explaining one topic. It always depends on the instructions you are giving.

To implement LSI keywords, follow the steps below:

• Identify Primary and LSI Keywords: AI analyses high-ranking content to suggest contextually relevant terms that add topical depth.
• Contextual Keyword Placement: AI integrates target keywords into headings, subheadings and body text to align with search intent.
• Synonym and Variation Use: AI suggests alternative phrases, synonyms and related terms, prevents repetition and improves NLP optimisation.
• Balance Keyword Density: ChatGPT spreads keywords naturally without triggering Google’s spam filters.
• Improve Readability and Engagement: AI keeps sentence structures fluid, makes content reader friendly while still ranking well.

It’s better if you can spend spend time with your own research understanding the LSI keyword variations. You may expand your research with ChatGPT and make a list of targeted LSI for writing content.

How can AI find information gaps and overlaps for SEO?

AI tools like ChatGPT, Frase and SurferSEO can analyse multiple articles to detect missing information and content redundancies. Comparing your content with high-ranking competitor pages helps refine your article for better topical coverage and SEO performance.

You may start simply copying top 3 articles and ask the AI to compare your article with the top three. Based on the instruction, AI will find the topical gaps and overlapping.

For instance, explain what is the Core force of the content (or, main context). Then provide your intention (adding semantically relevant information).

• Find missing subtopics: AI scans competitor articles and highlights areas that can be added to your content to increase depth and value.
• Eliminate redundancy: AI compares existing content across multiple sources, ensures your content avoids duplication and provides fresh insights.
• Improve keyword relevance: AI suggests new keywords and NLP optimised terms based on competitor analysis, makes content more contextually rich.
• Enhance Google’s topical authority signals: By filling content gaps AI helps secure Featured Snippets and improves ranking for People Also Ask (PAA) queries.

Make a Key Takeaways section for easy readability

AI based LLMs can summarise key points from an article, making content more scannable and reader-friendly. Adding a Key Takeaways section after the intro helps capture attention and improve user experience and SEO performance.

True SEO’s research found that adding a key takeaway section increases the impression of the article. Key takeaways provide a summarised version of the content to the readers that help to meet user intents quickly.

• Extracts main points: AI identifies the key takeaways from long form content, makes summaries concise and informative.
• Improves Readability: Bullet-pointed takeaways make articles easy to scan, reduces bounce rates and increases user engagement.
• Boosts SEO & Featured Snippets: Google loves structured content and AI generated summaries increase the chance of ranking for zero click searches.
• Enhances Mobile Experience: Concise takeaways cater for mobile users, helps them find information quickly.

How can AI generate blog topics for silo structure and topical authority?

AI can analyse existing content and suggest new blog topics to expand your website’s topical coverage. This helps in building a strong content silo structure, internal linking and SEO rankings.

For example, use ChatGPT to expand your topical relevance and identify blog topics. It may find 50 different blog topics relevant to the main content.

Your job is to research on identifying high search volume queries and match those AI-generated blog topics.

We do not suggest following AI-generated blog topics for SEO boost. However, those AI brainstoring will offer you a starting point.

Benefits of using AI for blog topic generation:

• Identifies content gaps: AI scans your published articles and finds missing subtopics to cover, ensures content strategy.
• Strengthens topical authority: Creating related blogs under a parent topic improves Google’s understanding of your niche and improves your ranking.
• Enhances internal linking: AI helps map related articles, creates a logical site structure that boosts SEO.
• Optimises for search intent: AI clusters related queries, ensures your blog answers multiple user intents, increases PAA (People Also Ask) rankings.

How can you humanise AI generated content for SEO and readability?

AI generated content lacks depth, originality and personality making it easy for Google to detect as automated. To humanise AI-written content, you need manual refinement, real world insights and a natural tone to align with Google’s E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) principles.

1. Train AI to match your writing style

Tools like SurferSEO allow AI to adapt to your tone and sentence structure, makes content less robotic and more conversational.

2. Inject first hand experience and expertise

AI lacks real world knowledge, so adding case studies, industry insights and personal experiences makes the content credible and unique.

3. Improve readability and engagement

• Rewrite repetitive AI phrasing to add variation and fluency.* Use questions, transitions and natural storytelling to keep readers engaged.

4. Improve SEO with Semantic Keywords and Internal Linking

• AI overuses keywords; redistribute them naturally for better SEO.
• Manually add internal links to strengthen topical authority.

5. Fact-Check and Format for Clarity

• Verify AI generated claims with trusted sources.
• Use bullet points, headings and concise paragraphs.

How can AI create high converting calls to action?

AI can analyse content, find user pain points and generate calls to action (CTAs) that convert. By understanding user intent and emotional triggers AI can craft persuasive, action driven CTAs for your audience.

1. Contextual CTA Generation

AI tools like ChatGPT and Jasper can scan your content and suggest CTAs that match user pain points. For example if an article is about SEO challenges AI can generate:
“Struggling to rank higher? Get a free SEO audit today!”

2. Personalised and Dynamic CTAs

AI can tailor CTAs based on user behaviour such as:

• Urgency-Based: “Sign up now – offer ends soon!”
• Problem-Solution-Based: “Fix slow website speed with our expert guide.”

3. A/B Testing and Optimisation

AI can analyse conversion rates and suggest data backed CTA improvements to enhance user experience and engagement, maximise impact.

Use ChatGPT to design HTML tools for any content

AI can generate interactive HTML tools that improve user experience and engagement. These tools provide real value, keeps visitors on your page longer and boosts SEO.

• Add Content with Interactive Tools
  • Accounting firms can create AI generated tax calculators for articles on self assessment or VAT.
  • Real estate businesses can add mortgage calculators for homebuyers.
  • Marketing agencies can create SEO audit tools for quick website checks.
• Boost SEO and User Engagement
  • Google loves content that provides interactive value, reduces bounce rates.
  • Tools improves dwell time, a ranking factor in search results.
  • They establish topical authority, increases credibility and trust.
• How to
  • Use ChatGPT to generate HTML, CSS and JavaScript for calculators and tools.
  • Customise the tool’s design and functionality to fit your business needs. * Add the tool to blog posts or landing pages to attract and retain visitors.

Here’s an example. A website specialised in personal finance utilised ChatGPT to create personalised HTML tools to enhance the engagement of the website visitors.

Generate FAQs with AI to increase Keyword Indexing, Website Impressions and Search Visibility

AI FAQs can increase website impressions and ranking potential by getting more queries indexed in Google.

• Expand Search Presence with More Indexed Queries
  • AI finds long tail keywords and related queries relevant to your content.
  • FAQs makes your website show up for multiple search variations, increases impressions.
• Increase chances of ranking in Google’s PAA (People Also Ask) Section
  • AI analyses Google’s Featured Snippets and PAA to find common patterns in top ranking questions.
  • Well structured answers increases your content’s chances of being picked up by Google’s algorithm.
• Improve Google’s NLP Processing for better search ranking
  • Google’s RankBrain and NLP models prioritize content that answers diverse user intents.
  • Adding AI generated FAQs ensures semantic relevance, improves indexing and topical authority.
• Boost CTR and Organic Traffic
  • More indexed FAQs means higher visibility in search results, more organic clicks.
  • Structured FAQs increases dwell time and reduces bounce rates, reinforces quality signals to Google.
• Best Practices for AI generated FAQs
  • Use ChatGPT, Gemini or SurferSEO to extract highly searched queries from your niche.
  • Keep answers concise and structured for voice search.
  • Update FAQs based on search trends and evolving queries.

How to use AI to create social media posts around an article?

AI can help you create social media content by breaking down long form articles into multiple posts.

• Repurpose blog content into multiple formats
  • Convert in-depth blog into 10+ social media posts, including key insights, statistics and quotes.
  • Use AI to generate carousel posts, infographics, short form videos or LinkedIn articles.
• Enhance engagement with auto generated visuals & captions
  • AI tools can suggest catchy headlines, engaging captions and relevant hashtags.
  • Tools like Canva AI can create custom banners, branded visuals and PDF guides for LinkedIn and Facebook.
• Use social post autopilot for scheduling & consistency
  • AI driven tools like Buffer, Hootsuite and SocialBee can automate posting schedules.
  • AI analyses engagement metrics to suggest optimal posting times.

Generate AI for Video Script around a topic or blog

AI can create video scripts from written content.

• Convert blog posts into engaging scripts
  • AI tools like ChatGPT, Synthesia and Runway ML can summarise blog articles into concise video scripts.
  • AI structures content into introduction, key points, examples and a strong call to action.
• Enhance scripts with AI generated voiceovers & visuals
  • AI can suggest dialogues, scene transitions and animations for storytelling.
  • Text-to-speech tools like Murf AI and Descript generate natural sounding voiceovers.
• Optimise for video SEO & engagement
  • AI suggests keywords, captions and timestamps to improve discoverability.
  • Generate YouTube descriptions, hashtags and video titles to boost ranking.

Never fully rely on AI content. Add manual effort.

AI can generate content fast but lacks human expertise, creativity and contextual awareness. Fully AI-written content often misses depth, unique insights and emotional connection, making it less engaging for readers. 

Manual editing adds accuracy, credibility and originality and ensures the content aligns with brand voice and audience needs. Google prioritises helpful, experience-driven content so adding real-world examples, expert opinions and first-hand insights improves E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). 

AI should be a tool not a replacement – human intervention refines quality, enhances readability and makes content rank-worthy. Always review, personalise and fact-check AI-generated text before publishing.

Never follow a pattern (otherwise, Google will think you are automating your content)

Google’s algorithm detects patterns in content structures to identify automation. If all your articles follow the same formula – same headings, word counts and sentence structures – Google may flag them as mass produced AI content. 

Instead vary the format by using different sentence lengths, heading styles, content depth and multimedia elements. 

Break predictable patterns by changing the introduction approach, experimenting with bullet points and adding unique insights. 

Manually refine each article to ensure originality. Google’s Helpful Content Update rewards content created for users not search engines. By making each piece unique you increase engagement, dwell time and ranking potential. Google prioritises authenticity and depth so structured but varied content signals quality not automation. 

A diverse writing approach maintains trust, prevents algorithmic suppression and improves SEO. Always review AI assisted content manually to add unique perspectives, industry insights and a conversational tone for a natural flow

Should You Use AI-Generated Images?

Google has started deindexing AI-generated images, particularly those lacking human edits, originality, or relevance. According to Google SPam Policy Revision 2025, mass production of any form of content will be treated as spam.

AI-created visuals often contain distortions, lack metadata, and fail to meet Google’s content quality standards. Instead of relying entirely on AI-generated graphics, post-process images using Canva, Photoshop, or professional design tools.

Adding your logo, article-related text, branding elements, and unique filters makes AI images more recognisable and valuable. Google prioritises original images that enhance user experience—photos, custom infographics, and screenshots improve engagement. AI-generated images alone lack real-world authenticity, making them less effective for SEO and content marketing. 

Instead, blend AI-generated visuals with human edits and context-specific elements to align with Google’s E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) standards. When used strategically, AI-assisted images can supplement but not replace original visuals, ensuring your content remains valuable, indexable, and optimised for long-term rankings.