From Keywords to Citations: Why AI SEO Demands a New Playbook in 2025

The landscape of search engine optimization is undergoing a seismic shift, driven by the rapid evolution of AI technology. For years, SEO professionals meticulously optimized for keywords, carefully crafting content to rank for specific search queries. However, as we step into 2025, the rules of engagement have fundamentally changed. The era of pure keyword optimization is giving way to a new paradigm where citations, authority, and direct answers powered by large language models (LLMs) like ChatGPT are paramount. This transformation demands a completely new playbook for AI SEO, moving beyond traditional keyword focus to embrace a holistic strategy centered on AI-augmented content, robust citations, and a deep understanding of user intent.

This comprehensive guide will explore the critical shifts in AI SEO, from the emergence of AI Overviews to the strategic imperatives of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). We will delve into the market data, core strategies, and practical applications of AI technology trends, providing actionable insights and case studies to help you navigate this complex yet exciting new frontier. Prepare to redefine your SEO strategy, because in 2025, success hinges on adapting to the AI-driven search ecosystem.

AI Overviews and the Citation Economy: The New Ranking Factor

The most significant change in the search landscape is the proliferation of AI Overviews. These AI-generated summaries, often appearing at the top of search results, directly answer user queries without requiring a click-through to a website. This fundamental shift has profound implications for how content gains visibility and authority. The focus is no longer just on ranking for a keyword, but on being cited as a trustworthy source within these AI-generated summaries.

What are AI Overviews and Why Do They Matter?

AI Overviews are concise, AI-generated answers that appear prominently in search results, often above traditional organic listings. They synthesize information from various sources to provide a direct answer to a user's query. According to Typeface.ai, AI overviews appeared in 9.46% of keywords searched, marking a significant 116% increase since March 2024. This rapid adoption signifies a new era where direct answers are prioritized, fundamentally altering user behavior and the value of traditional organic clicks.

The Shift from Keywords to Citations

In the past, ranking high for a keyword meant visibility. Now, being cited by an AI Overview means authority. This is a critical distinction. While keywords still play a role in helping AI understand your content's relevance, the ultimate goal is to be recognized as a reliable source that AI algorithms will reference. This "citation economy" means that content quality, factual accuracy, and topical authority are more important than ever. Only about 25% of the websites holding the top Google search spot are featured as sources in AI Overviews, highlighting a new gatekeeping role of AI algorithms for citations and rankings, as reported by Typeface.ai.

Impact on Click-Through Rates (CTR)

The rise of AI Overviews has a direct impact on traditional organic click-through rates. When users receive direct answers from AI, their need to click on individual search results diminishes. Typeface.ai reports that click-through rates on Google have dropped by nearly 30%, as users increasingly rely on AI-driven summaries and direct answers rather than clicking through multiple results. This necessitates a strategic pivot for SEO professionals, focusing not just on traffic volume, but on the quality and authority of the content that gets cited.

The Rise of LLM SEO and Answer Engine Optimization (AEO)

The underlying technology powering AI Overviews and conversational search is Large Language Models (LLMs). These sophisticated AI models understand and generate human-like text, enabling them to comprehend complex queries and provide nuanced answers. This shift necessitates a new approach to optimization, moving from traditional SEO to LLM SEO and Answer Engine Optimization (AEO).

Understanding LLM SEO

LLM SEO is about optimizing content so that it is easily understood and processed by large language models. This goes beyond simple keyword matching. It involves creating content that is:

• Contextually Rich: Providing comprehensive answers that cover all facets of a topic, anticipating follow-up questions.
• Semantically Clear: Using clear, unambiguous language that LLMs can easily interpret, avoiding jargon where possible.
• Factually Accurate: Ensuring all information is verifiable and supported by credible sources, as LLMs prioritize accuracy.
• Structured for Comprehension: Using headings, bullet points, and clear paragraphs to make content scannable and digestible for AI.

What is Answer Engine Optimization (AEO)?

Answer Engine Optimization (AEO) is the strategic process of optimizing content specifically for answer engines and AI-powered search interfaces. While SEO focuses on ranking for keywords, AEO focuses on providing the best, most direct answer to a user's query. This means:

1. Direct Answers: Structuring content to provide immediate, concise answers to common questions.
2. Question-Based Content: Creating content that directly addresses specific questions users might ask, often in FAQ formats or dedicated sections.
3. Schema Markup: Utilizing structured data (schema markup) to explicitly tell search engines and LLMs what your content is about and how it answers specific questions.
4. Topical Authority: Building deep expertise and comprehensive coverage around a specific topic, signaling to LLMs that your site is an authoritative source.

The Role of LLMs in Content Generation and Optimization

LLMs are not just consumers of content; they are also powerful tools for content creation and optimization. AI-generated content now accounts for about 74.2% of new webpages, dramatically reshaping content creation strategies, according to Typeface.ai. This means leveraging LLMs to:

• Generate Drafts: Quickly create initial content drafts, outlines, or even full articles.
• Optimize for Clarity: Refine existing content for better readability and semantic clarity.
• Identify Gaps: Analyze content for missing information or areas where more detail is needed to provide comprehensive answers.
• Suggest Citations: Identify potential sources for factual claims, enhancing the credibility of your content.

Generative Engine Optimization (GEO) Strategies for 2025

Generative Engine Optimization (GEO) is the overarching strategy that encompasses AEO and LLM SEO, focusing on optimizing content for generative AI systems. It's about ensuring your content is not only found but also leveraged by AI to create new, valuable outputs, whether it's an AI Overview, a conversational answer, or even new content generation. This requires a proactive approach to content creation and distribution.

Creating Content for Generative AI

To succeed in GEO, your content must be designed with generative AI in mind. This means:

• Comprehensive Topical Coverage: Go deep on subjects, covering all related sub-topics and answering common questions. Long-form content (3,000+ words) optimized by AI wins 3x more traffic, 4x more shares, and 3.5x more backlinks, suggesting AI helps fine-tune content for both SEO and user engagement, as noted by AIOSEO.
• Factual Authority: Every claim should be backed by data, research, or expert opinion, with clear attribution.
• Structured Data Implementation: Use schema markup (e.g., Q&A schema, Article schema) to explicitly define the nature of your content for AI.
• Clear, Concise Language: Avoid ambiguity and use straightforward language that AI can easily process and reproduce.

Building a Strong Citation Profile

In the citation economy, your site's authority is measured by how often and how credibly it is cited. This goes beyond traditional link building. It involves:

1. E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness): Continuously building and demonstrating these qualities through your content, author profiles, and site reputation.
2. Strategic Internal Linking: Creating a robust internal link structure that highlights your most authoritative content and helps AI understand topical relationships.
3. External Citations: Earning mentions and links from other reputable sources, signaling to AI that your content is valued and trusted across the web.
4. Brand Mentions: Encouraging brand mentions, even without direct links, as AI can recognize and value these signals of authority.

Optimizing for Conversational Search

As voice search and conversational AI interfaces become more prevalent, optimizing for how users speak is crucial. This means:

• Natural Language Processing (NLP) Optimization: Using natural language in your content that mirrors how people speak and ask questions.
• Long-Tail and Conversational Keywords: Targeting longer, more specific phrases that reflect conversational queries.
• Direct Answers to Questions: Structuring content to provide immediate, concise answers to common questions, often in Q&A format.
• Contextual Relevance: Ensuring your content provides comprehensive context around a topic, anticipating follow-up questions in a conversational flow.

Implementing AI Technology for Scalable Content Creation

The sheer volume of content required to achieve comprehensive topical authority and secure citations in the AI era necessitates leveraging AI technology solutions for content creation. Manual processes simply cannot keep pace with the demands of Generative Engine Optimization. This is where AI-powered content generation and optimization tools become indispensable.

Automated Content Systems and Workflows

Integrating AI into your content workflow allows for unprecedented scalability. This involves:

• AI-Powered Content Generation: Using LLMs to generate outlines, drafts, or even full articles on specific topics. This can significantly reduce the time and resources required for content production. For example, the AI SEO Genius case study demonstrated how combining Google Sheets, ChatGPT, and Make.com automated content creation and metadata generation, leading to substantial revenue growth.
• Content Brief Automation: AI tools can analyze search intent, competitor content, and topical gaps to generate detailed content briefs, guiding human writers or further AI generation.
• Content Refresh and Expansion: AI can identify outdated content or areas where more depth is needed, then assist in refreshing or expanding existing articles to maintain relevance and authority.
• Multilingual Content Generation: AI can facilitate the rapid creation of content in multiple languages, expanding your reach and citation potential globally.

AI-Driven Metadata and Structured Data Automation

Optimizing metadata and implementing structured data at scale is a tedious but crucial task. AI can automate this process, ensuring consistency and accuracy across thousands of pages:

1. Automated Meta Descriptions and Titles: AI can generate compelling and keyword-rich meta descriptions and page titles that encourage clicks and accurately reflect content, without manual bottlenecks, as seen in the AI SEO Genius case study.
2. Schema Markup Generation: AI tools can analyze your content and automatically suggest or generate appropriate schema markup (e.g., FAQPage, Article, Product schema), making your content more understandable for AI algorithms.
3. H1 and Subheading Optimization: AI can suggest optimal H1 tags and subheadings that improve content structure and readability for both users and AI.
4. Image Alt Text Generation: AI can analyze images and generate descriptive alt text, improving accessibility and providing additional context for search engines.

AI-Powered Link Building and Authority Building

Link building remains a vital component of SEO, and AI can significantly enhance its efficiency and effectiveness. While traditional link building is about acquiring backlinks, AI-powered link building focuses on acquiring high-quality, relevant citations:

• Prospect Identification: AI can analyze vast amounts of data to identify authoritative websites and publications that are relevant to your niche and likely to link to or cite your content.
• Content Gap Analysis for Link Earning: AI can pinpoint content gaps on your site that, if filled with high-quality, citable information, would naturally attract links and mentions.
• Outreach Personalization: AI can assist in personalizing outreach emails, increasing response rates and the likelihood of securing valuable citations.
• Broken Link Building Opportunities: AI can identify broken links on authoritative sites, presenting opportunities to offer your relevant content as a replacement.

Data-Driven AI SEO Performance and Analytics

In the new AI SEO landscape, traditional metrics like keyword rankings and organic traffic, while still important, tell only part of the story. A truly effective AI SEO strategy relies on advanced data analytics to measure performance, identify opportunities, and adapt to the ever-changing algorithms. This requires a shift towards more sophisticated AI technology strategies and tools.

New Metrics for AI SEO Success

To accurately gauge your AI SEO performance, you need to track metrics that reflect the impact of AI Overviews and citation economy:

• AI Overview Inclusion Rate: The percentage of your target queries for which your content is cited in an AI Overview.
• Citation Volume and Quality: Tracking how often your content is cited by AI, and the authority of the AI-generated responses that include your citations.
• Answer Box/Featured Snippet Dominance: While AI Overviews are new, optimizing for traditional featured snippets still provides a strong foundation for AI citation.
• Topical Authority Score: A qualitative or quantitative measure of your site's perceived expertise and comprehensiveness on specific topics, as assessed by AI.
• Engagement Metrics (Time on Page, Bounce Rate): Even with direct answers, users may still click through. High engagement signals quality and relevance to AI.

Leveraging AI for Performance Monitoring and Optimization

AI tools are invaluable for monitoring your SEO performance and identifying areas for improvement. They can process vast amounts of data and uncover insights that would be impossible for humans to find manually:

1. Anomaly Detection: AI platforms like Millimetric.ai analyze Google Search Console data to detect unusual drops or spikes in traffic, helping SEO teams quickly identify and address issues like broken links or algorithm changes.
2. Content Performance Analysis: AI can analyze which pieces of content are performing best in AI Overviews and traditional search, informing future content strategy.
3. Competitor AI Analysis: AI tools can monitor competitor content and their presence in AI Overviews, identifying gaps and opportunities for your own strategy.
4. Predictive Analytics: Some advanced AI models can predict future search trends or algorithm changes, allowing you to proactively adjust your SEO strategy.

Continuous Monitoring and Quality Checks

While AI can automate many processes, human oversight and continuous quality checks remain critical. This involves:

• Human Review of AI-Generated Content: Ensuring accuracy, tone, and brand voice are maintained in AI-generated content.
• Manual Verification of AI Citations: Regularly checking AI Overviews to see if your content is cited and if the citation accurately reflects your information.
• Algorithm Change Monitoring: Staying abreast of updates to search engine algorithms and AI models, and adapting your strategy accordingly.
• User Feedback Integration: Analyzing user behavior and feedback to refine content and improve the overall user experience, which indirectly influences AI perception of quality.

Case Studies: AI SEO in Action

The theoretical benefits of AI SEO are compelling, but real-world examples demonstrate the tangible impact of adopting a new playbook. These case studies highlight how businesses are leveraging AI technology solutions to achieve remarkable growth in organic traffic, revenue, and overall digital presence.

The Search Initiative: Building an AI SEO Genius

One of the most compelling examples comes from The Search Initiative, an agency that built an "AI SEO Genius" system. This innovative system combined Google Sheets, ChatGPT, and Make.com to automate content creation, metadata generation, and AI-driven link building. The results were astounding:

• Revenue Boost: Increased a client’s monthly revenue from $166K to $491K.
• Organic Traffic Growth: Tripled organic traffic by 255% (from 21.6K to 76.9K sessions/month).
• Scalable Content: Enabled scalable high-quality content production, supporting primary pages with relevant sub-pages for topical authority.

Rocky Brand: 74% YoY Revenue Growth with BrightEdge AI

Footwear retailer Rocky Brand successfully leveraged BrightEdge’s AI-powered SEO tools to optimize their online presence. Their strategy focused on AI-driven keyword targeting, page title, and meta tag optimization. The outcomes underscore the effectiveness of AI in refining traditional SEO elements:

• Organic Search Revenue: A 30% increase in organic search revenue.
• Visitor Uplift: A 13% uplift in visitor counts.
• Overall Revenue Growth: A remarkable 74% year-over-year revenue growth.

STACK Media: 61% Web Traffic Increase and Bounce Rate Reduction

STACK Media utilized BrightEdge AI tools to identify high-volume, fitness-relevant keywords, analyze SERP visibility, and perform competitive content research. They then redesigned web pages with comprehensive content, including videos and tips, optimized for these AI-identified keywords. The results were significant:

• Website Visits: A 61% increase in website visits.
• Bounce Rate: A 73% reduction in average bounce rate.
• Enhanced Engagement: Improved user engagement through richer multimedia content and deeper user intent coverage, as noted by ResultFirst and AIMultiple.

Search Logistics: LLM-based Content and Structured Data Optimization

Search Logistics implemented strategies leveraging large language models (LLMs) to generate genuinely helpful content, coupled with structured data and sophisticated link-building. Their clients experienced substantial growth:

• Organic Traffic: Up to ~59% increase in monthly organic traffic.
• New Leads: ~50% increase in new leads.
• Organic Revenue: In some cases, organic revenue growth nearing 493%, according to Search Logistics.

Overcoming Challenges in AI SEO Adoption

While the benefits of adopting AI technology for SEO are clear, the transition isn't without its hurdles. Many organizations face significant challenges in fully integrating AI into their SEO strategies. Understanding these obstacles and developing strategies to overcome them is crucial for successful AI SEO adoption in 2025.

Common Challenges in AI SEO Implementation

Despite the growing recognition of AI's importance, several factors hinder its widespread and effective adoption:

• Skill Gap: A lack of in-house expertise in AI, data science, and advanced analytics can make it difficult to implement and manage AI SEO tools effectively.
• Data Quality and Integration: AI models are only as good as the data they're fed. Poor data quality or fragmented data sources can lead to inaccurate insights and suboptimal performance.
• Cost and ROI Justification: Investing in advanced AI tools and training can be expensive, and demonstrating a clear return on investment (ROI) can be challenging, especially in the early stages.
• Resistance to Change: Traditional SEO teams may be resistant to adopting new AI-driven workflows, preferring familiar manual processes.
• Over-reliance on AI: A significant concern is the potential for over-reliance on AI, leading to generic content or a lack of human oversight, which can negatively impact quality and authenticity.

Strategies for Successful AI SEO Adoption

Overcoming these challenges requires a strategic and phased approach:

1. Invest in Training and Upskilling: Provide comprehensive training for your SEO team on AI principles, AI tools, and data analytics. Consider hiring specialists with AI expertise.
2. Start Small and Scale: Begin with pilot projects to test AI tools and strategies on a smaller scale, demonstrating success before rolling out across the entire organization.
3. Focus on Data Infrastructure: Prioritize cleaning, organizing, and integrating your SEO data to ensure AI models have access to high-quality, actionable information.
4. Foster a Culture of Experimentation: Encourage your team to experiment with new AI tools and approaches, embracing continuous learning and adaptation.
5. Maintain Human Oversight: Emphasize that AI is a tool to augment human capabilities, not replace them. Human creativity, critical thinking, and quality control remain paramount.

Addressing Concerns About AI's Impact on Traffic

A notable concern among business owners is the potential negative impact of AI on website traffic. SEO.com reports that 25% of business owners are concerned that AI could negatively affect their website traffic. This concern often stems from the fear of AI Overviews reducing click-through rates. To mitigate this:

• Shift Focus to Authority: Reframe success metrics from pure traffic volume to citation volume and authority.
• Optimize for Direct Answers: Ensure your content is structured to provide the best possible direct answers, increasing your chances of being cited.
• Enhance User Experience: Even if users get a direct answer, a compelling, user-friendly website encourages further exploration and engagement.
• Diversify Traffic Sources: Don't rely solely on organic search. Explore other channels like social media, email marketing, and paid advertising.

The Future of AI SEO and Your Playbook

The trajectory of AI technology in SEO is clear: it will continue to evolve rapidly, becoming even more integrated into every aspect of search. For businesses and SEO professionals, this means the "new playbook" we've discussed isn't a static document but a living strategy that requires continuous adaptation and innovation. Embracing this future means understanding the ongoing trends and positioning your organization to thrive.

Key Trends Shaping AI SEO in the Coming Years

Several trends will continue to define the AI SEO landscape:

• Hyper-Personalization: AI will enable search results and content recommendations to become even more tailored to individual user intent and history.
• Multimodal Search: The integration of image, video, and voice search with text-based queries will become seamless, requiring optimization across all content formats.
• Proactive Information Delivery: AI may anticipate user needs and deliver information before a query is even explicitly made, further reducing the need for traditional search.
• Ethical AI and Transparency: Growing emphasis on ethical AI practices, data privacy, and transparency in how AI models generate and cite information.
• AI-Powered Content Audits: AI will become even more sophisticated in identifying content decay, topical gaps, and opportunities for content refresh and expansion.

Building Your AI SEO Playbook for Sustainable Growth

Your AI SEO playbook should be dynamic and comprehensive, incorporating the following core principles:

1. Prioritize Citability and Authority: Shift your content strategy from keyword density to becoming the most authoritative, factually accurate source on your topics.
2. Embrace LLM SEO and AEO: Optimize your content for direct answers and conversational queries, ensuring it's easily digestible by large language models.
3. Implement GEO Strategies: Design your content to be leveraged by generative AI systems, focusing on comprehensive topical coverage and structured data.
4. Automate with AI Technology: Leverage AI tools for content generation, metadata optimization, and link building to achieve scalability and efficiency.
5. Adopt Data-Driven Decision Making: Utilize advanced analytics and new metrics to measure AI SEO performance and identify areas for continuous improvement.

The Role of AI in Boosting Productivity and Revenue

Beyond SEO, AI is a powerful driver of overall business efficiency and revenue growth. SEO.com highlights that AI is expected to boost employee productivity by up to 40%. Furthermore, companies using AI for customer experience improvements can achieve up to 25% more revenue over five years compared to those using AI solely for productivity. This broader impact underscores the importance of integrating AI not just into SEO, but across all facets of your digital strategy. By making daily AI-optimized publishing effortless, platforms like outwrite.ai empower teams to focus on strategy and creativity, driving both SEO success and broader business value.

Frequently Asked Questions (FAQ)

What is the primary difference between traditional SEO and AI SEO?

Traditional SEO primarily focuses on ranking for specific keywords to drive organic traffic. AI SEO, in 2025, shifts this focus towards being cited as an authoritative source by AI Overviews and large language models (LLMs), emphasizing factual accuracy, comprehensive answers, and a strong citation profile over just keyword density.

How do AI Overviews impact website traffic?

AI Overviews provide direct answers to user queries, which can lead to a decrease in traditional organic click-through rates (CTR). Typeface.ai reports a nearly 30% drop in Google CTR due to AI summaries. The strategy shifts from driving clicks to being the authoritative source cited by AI.

What is LLM SEO?

LLM SEO (Large Language Model SEO) is the practice of optimizing content to be easily understood, processed, and utilized by AI models like ChatGPT. It involves creating contextually rich, semantically clear, factually accurate, and well-structured content that LLMs can confidently draw upon for their responses.

What is Answer Engine Optimization (AEO)?

AEO is a strategic approach to optimize content specifically for answer engines and AI-powered search interfaces. It focuses on providing direct, concise answers to user questions, utilizing question-based content, and implementing schema markup to explicitly define content for AI.

What is Generative Engine Optimization (GEO)?

GEO is an overarching strategy that encompasses AEO and LLM SEO. It focuses on optimizing content so it can be effectively leveraged by generative AI systems to create new outputs, such as AI Overviews or conversational answers. It involves comprehensive topical coverage, factual authority, and robust structured data.

How can AI technology help with content creation for SEO?

AI technology can automate various aspects of content creation, including generating content drafts, outlines, meta descriptions, titles, and even image alt text. It can also assist in content refresh, expansion, and multilingual content generation, significantly boosting scalability and efficiency, as demonstrated by the AI SEO Genius case study.

What new metrics should I track for AI SEO?

Beyond traditional metrics, you should track AI Overview inclusion rate, citation volume and quality, answer box/featured snippet dominance, topical authority score, and enhanced engagement metrics (time on page, bounce rate) to gauge your content's performance in an AI-driven search environment.

Is AI SEO only for large businesses?

No, AI SEO is relevant for businesses of all sizes. While large enterprises might have more resources, 67% of small businesses already use AI for content marketing and SEO, according to Semrush. AI tools are becoming increasingly accessible, allowing even small teams to leverage AI for competitive advantage.

How important are citations in the new AI SEO landscape?

Citations are paramount. In the AI era, being cited by an AI Overview or LLM as a trusted source is a new form of ranking. It signifies authority and trustworthiness. Building a strong citation profile through E-E-A-T, strategic internal linking, and external mentions is crucial.

What are the main challenges in adopting AI SEO?

Key challenges include a skill gap in AI and data analytics, ensuring high data quality, justifying the cost and ROI of AI tools, resistance to change within teams, and the risk of over-reliance on AI without human oversight.

How can I ensure my AI-generated content is high quality?

Always apply human oversight and quality control to AI-generated content. Fact-check information, ensure it aligns with your brand voice, and refine it for clarity, accuracy, and originality. AI should augment, not replace, human creativity and expertise.

Will keywords still matter in 2025?

Yes, keywords will still matter, but their role evolves. They help AI understand the topic and relevance of your content. However, the ultimate goal shifts from simply ranking for keywords to providing comprehensive, authoritative answers that AI can cite, moving from a keyword-centric to a citation-centric approach.

How does outwrite.ai help with AI SEO?

Outwrite.ai is designed to make daily AI-optimized publishing effortless. It helps teams create content that is tailored for AI citations and direct answers, streamlining the process of generating high-quality, authoritative content that ranks in the new AI-driven search environment.

What is the future outlook for AI in SEO?

The future of AI in SEO involves hyper-personalization, multimodal search, proactive information delivery, and a greater emphasis on ethical AI. AI will become even more integrated into every aspect of search, requiring continuous adaptation and innovation from SEO professionals.

How can I get started with AI SEO today?

Start by auditing your existing content for citation potential, begin experimenting with AI content generation tools, focus on building topical authority, and invest in training your team on AI SEO principles. Consider testing platforms like outwrite.ai to streamline your AI-optimized publishing efforts.

Conclusion

The transition from a keyword-centric SEO world to one dominated by AI Overviews and citations represents a monumental shift for digital marketers. In 2025, success in search is no longer just about ranking; it's about being the authoritative source that AI chooses to cite. This demands a new playbook, one that prioritizes AI technology for scalable content creation, embraces Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), and leverages data analytics to navigate the evolving landscape.

By understanding the nuances of LLM SEO, building robust citation profiles, and strategically implementing AI tools, businesses can not only adapt but thrive in this new era. The future of search is here, and it's powered by AI. Don't just chase keywords; own the citations. Make daily AI-optimized publishing effortless with platforms like outwrite.ai. Test outwrite.ai with your team today and take control of your AI citations.

Authored by Aidan Buckley, Subject matter expert at outwrite.ai.