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How Artificial Intelligence Is Shaping the Future of SEO. The Age of AI-Driven SEO. Acquire Daily - Muhammad Owais

How Artificial Intelligence Is Shaping the Future of SEO: Dawn of AI-Driven SEO.

How SEO is Shifting with Artificial Intelligence? The Age of AI-Driven SEO.

Search engine optimization (SEO) has come a long way over the past few decades. From keyword stuffing tactics in the 1990s to the rise of content and technical SEO in the 2000s, the practice of optimizing web pages for search engines has evolved significantly. Let’s dive into the world of AI-driven SEO.

Now, in the 2020s, artificial intelligence (AI) is poised to be the next major development to shake up the world of AI-driven SEO.

AI and machine learning have already started demonstrating their capabilities when it comes to automating and enhancing various aspects of SEO.

As these technologies continue to advance, they will likely reshape how SEO professionals research keywords, create content, analyze performance, fix technical issues, and more.

While AI cannot fully replace the strategic thinking and creativity of human SEO experts just yet, it can make many optimization tasks more efficient and effective.

The growing role of AI is causing SEO practitioners to shift their skill sets and approaches to accommodate these new automated capabilities.

In this blog, we’ll explore 6 ways artificial intelligence is impacting search engine optimization along with tips for adapting to this AI-driven SEO landscape.

Let’s explore the 6 ways of artificial intelligence impacting SEO and how to adopt this AI-driven SEO landscape:

1. Automated Keyword Research

Keyword research has long been a foundational and labor-intensive part of any SEO strategy.

It involves digging into search engine data and trends to identify relevant keyword opportunities that align with business goals.

In the past, this required extensive manual analysis using keyword planner tools.

Now, AI and machine learning can automate much of this process to surface keyword suggestions and uncover hidden opportunities. For example, tools like Semrush, Ahrefs, and UberSuggest leverage AI to quickly analyze millions of keywords and their search statistics.

Beyond just generating ideas, these platforms can filter and refine keyword lists using parameters like search volume, competitiveness, relevance, and more.

Some AI-powered keyword tools take automation even further by clustering related keywords, analyzing historical trends, and predicting future search volumes.

With these sophisticated capabilities, SEO professionals can build comprehensive keyword lists in a fraction of the time.

However human oversight is still key to assessing which suggestions are worth pursuing based on knowledge of the business and high-value targets.

In terms of process, AI keyword research involves:

  • Using AI tools to generate a large pool of relevant keyword ideas.
  • Filtering and refining the list based on key parameters and search data.
  • Reviewing the suggestions to determine viable focus keywords.
  • Supplementing the AI results with human creativity and strategic thinking.

So rather than replacing human strategists, AI amplifies the keyword research process through top-notch automation.

SEO practitioners need to learn how to apply these new AI tools to streamline discovery while also lending their business perspective.

2. AI-Assisted Content Creation

Producing optimized content at scale remains one of the biggest challenges in executing SEO strategies.

From researching topics to drafting outlines to writing and editing posts, content creation requires immense time and effort.

This is especially true when publishing blog articles, guides, and other materials on a frequent basis.

Advances in natural language generation technology are now easing this content burden for SEO professionals thanks to AI. Also known as NLG, these AI systems can automatically generate any type of text based on data inputs and parameters.

The most advanced NLG solutions like go far beyond the capabilities of generic autocomplete tools to craft full-length, human-like content tailored to SEO.

For instance, marketers can feed the AI an outline, key messaging, target keywords, and tone preferences. The NLG platform will then produce an optimized draft post that hits all the requirements.

SEO professionals simply review the AI-written content, make edits as needed, and have a polished piece ready to publish. This allows them to scale content operations and focus their energy on high-value strategy rather than laborious writing.

When integrating NLG into content workflows, it’s critical to:

  • Carefully configure the content parameters and guidelines.
  • Start with lower-stakes content or simple drafts to test quality.
  • Heavily edit initial AI drafts before finalizing publishable assets.
  • Utilize NLG to supplement (not replace) expert human writing.

NLG has already shown the ability to draft blog posts, landing pages, product descriptions, and more with proper oversight.

As the technology improves further, expect to see enterprises automate more of their content assembly line using AI while still relying on in-house experts for strategic messaging and review.

3. SEO Performance Tracking & Analysis

Monitoring and analyzing key SEO metrics is the only way to gauge progress, identify issues, and inform future optimizations. But synthesizing all this data can get overwhelming.

Search analytics platforms produce incredibly intricate reports on site performance covering everything from rankings and traffic to conversions and user behavior.

Processing these complex SEO analytics dashboards and deriving insights has historically required quite a bit of manual effort from technical SEO experts. Thankfully, AI tools are now stepping in to automate data analysis and surface optimization recommendations.

For example, Botify’s Activate platform applies machine learning algorithms to crawl audit logs, rank tracking reports, and other data sources.

The AI scours this sea of numbers and activity to automatically detect significant changes, trends, or anomalies.

After processing the latest performance details, the system alerts SEO professionals about any datasets needing attention such as:

  • Sudden changes in keyword rankings
  • Pages with declining traffic
  • New crawl errors and accessibility flaws
  • Increases in site abandonment
  • Reduced clicks from organic search

Rather than aimlessly combing through analytics, the AI points SEO teams to subsets of data that deserve a closer look or may require action.

The bots act like additional team members constantly monitoring site performance.

This allows SEO experts to focus their analytical skills on interpretation, diagnostics, and strategic planning.

With AI handling the heavy lifting of surface-level analysis, practitioners can better investigate issues, understand causal relationships in the data, and formulate solutions.

When incorporating AI tracking and analytics tools, be sure to:

  • Integrate with multiple data sources to allow holistic analysis
  • Configure parameters like baseline metrics and threshold values
  • Verify any AI-generated insights with further human analysis
  • Avoid over-relying on AI notifications and still schedule regular performance reviews

The automation of basic analysis provides a starting point, but human discernment is still essential for making the most of SEO data.

4. AI-Driven Technical SEO Audits

Driving organic growth also depends on continuously improving technical SEO factors like site speed, mobile optimization, infrastructure, Structured Data markup, and more.

But comprehensively auditing these elements across large websites with thousands of pages presents difficulties.

Crawling every URL and checking for errors and modifications simply requires too much tedious manual work.

New AI capabilities are stepping in to automate the technical SEO auditing process through machine learning.

Tools like Botify, DeepCrawl, and OnCrawl utilize AI bots to programmatically crawl sites, detect issues, recognize patterns, and evaluate page quality.

For instance, bots can identify broken links, duplicate content, invalid Structured Data, accessibility problems, page speed deficiencies, and other technical flaws.

The AI compares the audit findings against previous crawls to surface new problems and track fixes.

SEO professionals then review the machine learning-generated audit report to prioritize the most pressing issues and delegate optimizations.

Bots even suggest specific actions to resolve each technical problem like implementing 301 redirects or improving image compression.

Since the AI handles the grunt work of technically auditing and documenting all pages, SEO teams can direct their energy towards higher-impact engineering and development projects.

When leveraging AI site auditing, be sure to:

  • Crawl all site pages regularly to allow the AI to analyze at scale
  • Continuously feed new audit data into the machine-learning model
  • Review auto-generated reports instead of inspecting thousands of pages manually
  • Have developers implement the technical fixes flagged by the AI

With intelligent bots tirelessly checking for technical SEO issues, practitioners can focus on supervising critical fixes and enhancements.

5. Intelligent Ranking Analysis

Monitoring current keyword rankings is indispensable for gauging SEO progress.

But simply tracking ranking positions over time reveals little about why sites move up or down in search results.

Solving ranking declines requires analyzing the myriad algorithmic and competitive factors at play.

New AI technologies help uncover these complex drivers of ranking changes by applying sophisticated statistical analysis and natural language processing.

For example, tools like RankSense and RankScience ingest huge datasets encompassing rankings, search results, page content, backlinks, and more.

Machine learning algorithms then process these signals to detect patterns, identify predictive ranking factors, and determine causality.

The AI-generated reports spotlight elements that likely contributed to ranking shifts like:

  • Sudden changes in linking domains
  • New competitors overtaking rankings
  • Pages with thinner content lose positions
  • Sites with faster mobile speed gaining ground

Rather than just observing rankings fluctuate, the AI reveals actionable reasons why. SEO experts can then tailor their optimization strategy to improve those key areas.

The automated intelligence also monitors competitor actions and benchmarks performance against industry averages.

When adding AI ranking analysis, it’s important to:

  • Feed in diverse and extensive data for the most accurate insights
  • Align factors analyzed with current optimization goals and priorities
  • Verify AI-detected patterns through supplemental human investigation
  • Isolate the one or two most influential factors to focus optimizations

With AI illuminating the ranking algorithm black box, SEO practitioners can move beyond guesswork to enhance visibility with greater precision.

6. The Future of AI-Driven SEO

As artificial intelligence extends its reach across search engine optimization, SEO professionals will need to adapt to utilize these new capabilities.

Here are a few key ways to prepare for the AI-driven future of SEO:

  • Get proficient with AI tools – Start exploring leading AI-powered platforms for keyword research, content creation, analysis, audits, etc. Hands-on experience will build familiarity.
  • Let AI amplify human intelligence – Position AI to handle rote SEO tasks in order to free up strategy and creativity.
  • Combine strengths – Use automation for scale while applying human discernment to key decisions and optimizations.
  • Keep developing analytical skills – Sharpen abilities to derive insights from data, identify issues, and improve performance.
  • Stay atop the latest advances – Monitor new AI solutions and machine learning innovations that may further enhance SEO.
  • Recalibrate workflows – Reimagine processes to seamlessly integrate AI for greater efficiency.

While SEO will continue relying on human ingenuity, creativity, and strategic thinking, AI automation can significantly amplify results.

As search engines themselves get increasingly sophisticated, SEO practitioners that effectively harness AI capabilities will have a major competitive advantage going forward.

The integration of artificial intelligence into areas like keyword research, content production, data analysis, audits, and more is rapidly changing the search optimization landscape.

SEO experts willing to embrace AI and recalibrate their approach will be best positioned to thrive in this fast-evolving industry.

Here are some additional relevant points that you should know:

Personalized SEO with AI

  • AI can help customize SEO strategies and content for individual user intents and contexts based on search history, location, device, etc.
  • Tools like Optimize and Frase leverage machine learning to suggest hyper-personalized keywords and guide geo-targeted content.
  • Tailored SEO powered by AI leads to higher engagement and conversions.

Enhanced Link Building with AI

  • Link building is critical for rankings but manually discovering and vetting opportunities is tough.
  • AI streamlines prospecting by automatically identifying relevant high-authority pages that are likely to accept outreach requests and links based on past patterns.
  • AI also informs outreach messaging by analyzing sentiment, topics, and wording of prospects to enable more effective pitches.

AI for Voice Search Optimization

  • Voice search growth is rising exponentially, requiring SEO to expand beyond text results.
  • Tools like Soundai use AI to optimize on-page elements like word choice, syntax, and topical authority to rank for voice queries on smart assistants.
  • AI also analyzes voice search question types and intents to uncover related keywords and guide content.

Automated Social Media SEO

  • AI manages cross-channel social media optimization at scale for visibility lifts.
  • Automates posting schedule, message creation, engagement, and analytics.
  • Surfaces viral opportunities and maximizes reach.

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