How to use AI for Better SEO

Search Engine Optimisation (SEO) is the cornerstone of online visibility, while Artificial Intelligence (AI) is reshaping the way we analyse and leverage data. By combining these two powerful disciplines, businesses can unlock meaningful insights that improve rankings, enhance user experiences, and streamline content creation. Find out how AI can be integrated into core SEO tasks—ranging from keyword research all the way to measuring performance.

Key Takeaways:

• AI tools reduce manual SEO work by 70% through automated analysis.
• Combines machine learning for data processing with human creativity.
• Enables automated keyword research, content optimisation, and personalisation.

Understanding Today’s SEO Challenges

Modern SEO is more complex than ever, largely due to how users search for information and how search engines interpret queries. Here are some of the biggest challenges:

• Organic results are now below AI overview: Featured snippets and ppc results come above organic. Not all bad news though, so called “zero click searches” answered by snippets, ai overview etc, tend not to be traffic that would have converted to a customer anyway – IE “tomorrow’s weather in london”  is a quick question, who wouldn’t have bought your product or service.
• Multifaceted search algorithms:Search engines, led by Google, use constantly evolving algorithms that learn from user behaviour. This ongoing change demands continual adaptation.
• High data volume: SEO now involves diverse data sets—keyword queries, traffic metrics, user behaviour patterns, and more—making it difficult to keep up with manual analysis.
• User intent: Effective SEO must interpret searcher intent, which goes beyond simple keywords. Semantic search and natural language processing algorithms focus on delivering contextually relevant results.
• Core Web Vitals: Technical performance metrics like site speed, responsiveness, and visual stability are essential, requiring robust site audits and optimisation strategies.

​​Based on recent research, while search behavior is evolving with new platforms, traditional search engines remain dominant. Data shows that 99% of people using generative AI platforms for answers are still using search engines which maintain significantly higher engagement rates (163.5 events per user monthly) compared to AI tools like ChatGPT (12.2) and Perplexity (15). Though Gen Z increasingly turns to platforms like TikTok for information discovery, and AI platform adoption grew from 14.6% to 16.4% between May 2023 and 2024, these represent complementary search behaviors rather than replacements for traditional search . This evolution suggests businesses need a multi-platform approach that combines conventional SEO with optimisation for emerging search channels, while maintaining focus on delivering valuable content across all platforms.

Source: Datos (https://www.marketingprofs.com/charts/2024/51744/are-ai-tools-disrupting-google-search-dominance)

The Role of (Human Supervised) AI in SEO

AI can streamline SEO by offering automated and intelligent approaches to research, analysis, and optimisation, ultimately freeing up marketers to focus on creativity and strategy. Some of the primary roles of AI in SEO are:

• Data analysis and pattern recognition:AI can handle massive volumes of data, identifying valuable patterns and trends that a human analyst might miss.
• Predictive analytics: By observing historical data and real-time trends, AI can forecast changes in search behaviour and surface emerging opportunities.
• Personalisation: Customised user experiences—such as personalised product recommendations—are possible through AI, leading to higher conversion rates.

Using AI to Enhance SEO Strategy

Content planning: AI-driven insights can reveal trending topics and user questions, ensuring your content is timely and aligned with user interests. This helps you craft a content calendar that resonates with both readers and search engines.

Competitor analysis:Machine-learning-based platforms monitor shifts in competitor rankings, backlink growth, and content updates. Armed with these insights, you can adjust your strategies proactively rather than reactively.

Dynamic personalisation: AI algorithms segment users based on behaviour, interests, and demographics, tailoring on-site messages and recommendations for optimised engagement and conversions.

Key AI Tools and Techniques for SEO

Keyword Research and Topic Generation

AI-powered SEO platforms help identify not just high-volume keywords, but also long-tail phrases uncovered via Natural Language Processing (NLP). These tools conduct deeper analysis—synonyms, search intent, related topics—allowing you to capture more nuanced opportunities that align with real user queries.

Content Optimisation and Creation

AI transforms content creation by offering powerful tools for topic research, content structuring, and optimisation, while maintaining the need for human oversight. Start by feeding AI your brand voice, niche, and goals to generate relevant outlines and first drafts. Use it to refine awkward phrasing, create clear heading structures, and generate relevant FAQs that can be enhanced with schema markup.

However, human editing remains crucial. AI can generate “hallucinations”—plausible but incorrect information—so fact-checking is essential. The most effective approach combines AI’s efficiency with human creativity: use AI for initial drafts, research, and structure, then apply your expertise, personal insights, and brand voice to create compelling, accurate content that serves both search engines and readers.

Key Best Practices:

• Review AI content for accuracy and brand alignment
• Verify all facts independently
• Add unique insights and examples
• Use AI as a collaborative tool, not a replacement
• Maintain your authentic voice throughout
• This partnership approach ensures content that’s both SEO-optimised and genuinely valuable to your audience.

A tool we recommend for content optimisation is ‘Frase’. Driven by AI, Frase finds the top 10 ranking pieces of content for the particular keyword you wish to rank for and find which keywords you should use and how many times you should use them depending on the length of your text. Check out Frase.

Technical SEO and Site Audits

Site errors like broken links, slow page speeds, or unindexed pages can drag down your search rankings. AI-driven crawlers efficiently identify issues and suggest remedial actions. Additionally, advanced AI mechanisms can propose the most relevant schema markup, ensuring your site’s structured data is rich and accurate for search engines.

Link-Building Strategies

AI can help identify authoritative sites for backlink outreach, analysing their domain authority, niche relevance, and past linking behaviours. Advanced monitoring tools track brand mentions across the web, allowing you to convert unlinked mentions into quality backlinks by reaching out to the publishers.

Measurement and Refinement with AI

Real-time analytics: AI-powered analytics dashboards aggregate data from multiple sources (search engine results, social media metrics, web traffic) in real time, providing a granular view of what’s working—and what isn’t.

Advanced attribution models: By understanding the interplay between different channels (organic search, social media, email), AI can refine attribution models for a clearer, more accurate representation of how each channel contributes to conversions.

Continuous optimisation cycle: Because AI tools update their analyses in real time, you can quickly refine target keywords, optimise on-page content, and intensify or reduce link-building efforts as needed.

Best Practices and Ethical Considerations

Follow search engine guidelines: Resist shortcuts or “black-hat” methods that use AI to manipulate rankings. Tactics like automated link building and keyword stuffing can quickly lead to penalties.

Respect user privacy: AI often relies on large data sets, so be sure you’re collecting and processing user data responsibly. Stay compliant with data privacy regulations such as GDPR or CCPA.

Maintain authenticity: While AI can streamline content creation, it’s crucial to infuse a genuine brand voice. Users can spot generic content, so inject creativity and authenticity for better engagement and loyalty.

Limitations of LLMs – they’re out of date quickly, knowledge cut off around 6-12 months for most of them.

Future Trends in AI and SEO

Voice and visual search
As voice assistants and image recognition tools gain popularity, AI will evolve SEO practices to match these new forms of queries.

Enhanced personalisation
Future algorithms will likely provide even more context-based search results. Users expect results that reflect personal tastes, browsing history, and location.

Human oversight remains crucial
Automation will continue to expand, particularly for data-heavy tasks. However, human creativity and strategic thinking will remain vital for brand storytelling, empathy, and nuanced decision-making.

Final Thoughts

Pairing AI with SEO unlocks efficiency, creativity, and a deeper understanding of user intent. By adopting AI tools for keyword research, content generation, technical analysis, and performance measurement, businesses can stay at the forefront of search engine rankings. As you integrate AI into your strategy, keep an eye on user experience, data privacy, and authenticity to ensure lasting, positive results. Finally, the SEO landscape will continue to evolve, and leaning into AI is one of the surest ways to remain competitive in an ever-intensifying digital space.

Actionable Next Steps: 

1. Explore AI-driven SEO tools: Identify platforms that align with your marketing goals.
   Check out Hubspot’s top 24 AI-powered SEO research tools – https://blog.hubspot.com/marketing/ai-seo
2. Review current SEO performance: Use AI-assisted site audits to pinpoint technical and content gaps.
3. Continuously refine: Monitor real-time data to understand which optimisations deliver the best results, and pivot quickly when needed.

By blending human ingenuity with AI, you can create a dynamic, future-ready SEO strategy that consistently delivers value, both for your audience and your brand’s bottom line.