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Search Engine Optimization, Technology

3 Ways AI Could Be An Aide To SEO

by Emily AdamsJanuary 20, 2023
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There are constant conversations online about which industries are going to be impacted the most by new technology like Open AI and ChatGPT. Marketers are worried about how their jobs will change with the expansion of artificial intelligence, but they should be looking at it as an opportunity to have more of an impact rather than a threat to their job. Here are three ways AI is changing search engine optimization and the marketing landscape.

Automated Keyword Research

Knowing what keywords your target market is using to find solutions to their problems is a crucial step into setting up a successful organic search strategy. Without understanding the customer needs, it becomes a bling uphill battle to convincing your company can be the solution. This requires a little research and machine learning can help accelerate this process with a wide variety of SEO AI tools on the market. These tools go a step beyond your initial keyword list, to give you semantic keywords and ideas for what people might be searching for.

Content Creation and Optimization

Once you have your keyword list, you need to create content for those keywords. Tools like Copy.ai can create blog content around your keywords and can also write meta descriptions and meta titles for you. Though you can create a high volume of content with these tools, this should be your content creation starting point. Though use with caution, and be aware the content will require a round of copywriting and tweaking to optimize it for your website.

Insights from Analytics

There are a number of SEO analytics tools that utilize AI to help with optimization. SEMrush has AI features that help with competitive research and content optimization. MOZ Pro has an AI tool to help with link building, as well as providing insights on how to improve website performance. Learning to leverage these tools will help improve your organic search rankings.

 

Marketers should keep in mind that AI can’t replace human creativity, strategy and analysis, but it can be a powerful tool to help with optimization and decision-making. As technology evolves Bluetext is ready and eager to test out the top technologies within our toolset. If your company needs assistance putting together a foolproof SEO strategy, an agency partner is the best first step in creating a realistic action plan and analytics tracking. Contact us to learn more about our search engine optimization and content marketing services.

Frequently Asked Questions (FAQ)

How can AI speed up keyword research without sacrificing relevance?

AI tools mine large datasets to surface semantically related terms, question variants, and intent clusters faster than manual work. Use them to expand seed lists and uncover adjacent topics your audience actually searches. Then validate with search volume, SERP intent, and your differentiation. Human judgment decides which opportunities fit your strategy.

Is AI-generated content good enough to publish as is?

Treat AI text as a draft, not a destination. It accelerates ideation and first passes, but you need editors to fact-check, inject expertise, and align with brand voice. Search engines prioritize helpful, original content, so add proprietary data, examples, or POV. A blended workflow yields quality at speed.

Where can AI help with on-page optimization specifically?

Models can propose meta titles and descriptions, outline structures that match search intent, and suggest internal links based on topic graphs. They can flag thin sections or readability issues at scale. Pair these suggestions with performance data to prioritize the pages most likely to move the needle.

Which analytics insights benefit most from AI in SEO?

Anomaly detection, pattern discovery, and multi-touch attribution modeling are prime candidates. AI can spot sudden ranking shifts, content cannibalization, or link decay across thousands of URLs. It can also cluster queries by intent to guide content roadmaps. Use these insights to move from reactive fixes to proactive growth.

What are the limits of AI in SEO I should watch for?

Models can hallucinate facts, overfit to noisy data, or optimize for proxies that don’t reflect business goals. They lack context about brand strategy, product nuance, and risk tolerance. Keep humans accountable for decisions, and evaluate AI outputs against real KPIs, not just SEO vanity metrics. Governance matters as much as tooling.

How do I introduce AI into my SEO stack responsibly?

Start with well-scoped tasks-keyword expansion, meta suggestions, or content briefs-and set quality thresholds. Document prompts, review checklists, and rollback plans. Measure time saved and performance lift to justify expansion. And always disclose AI assistance internally to maintain transparency and standards.