20 Practical Ways to Use AI in SEO

Based on hands-on SEO work, these examples show exactly where AI fits into content, technical tasks, and reporting. AI has changed how I work after nearly two decades in digital marketing. The changes have been meaningful: time has been freed up, routine work has been reduced, and some genuinely complex tasks are now faster to complete.

That doesn’t mean AI does the work for you, transforms everything overnight, or saves you 40 hours a week. In real-world SEO, with real clients and real deadlines, it’s a tool that makes parts of the job easier—not something that replaces it entirely.

Here are 20 ways I actually use it. Some are SEO-specific. Others are broader but relevant to anyone working in this industry. All of them are practical, tested, and honest about their limitations.

Content Creation & Copywriting

Writing first drafts

The best way to use AI for content is to stop expecting it to produce something ready for publication and start treating it as a very fast first-draft machine.

Give it your brief, target keyword, audience description, and angle. Get a structure. Then rewrite it in your own voice. Add expertise that only you have—not a “vanilla” version of what already exists online.

Out-of-the-box AI content is mediocre. Your job is to make it good. Reference real stories, case studies, statistics, and demonstrate your own perspective and experience. The time savings come from not starting with a blank page.

Generating meta titles and descriptions

Provide Claude or ChatGPT with your target keyword, page topic, and character limits. Ask for 10 variations of meta titles and descriptions. You’ll use one, maybe combine two—but the process takes two minutes instead of twenty.

For large sites with hundreds of pages, this alone is worth the subscription.

Many tools allow you to upload CSV files, add AI-generated suggestions, and upload them back for validation. Don’t skip that step. Human review is where the real value lies.

Updating underperforming content

Paste in the text of an existing page or blog post that has dropped in rankings. Ask AI to identify what’s missing, what can be expanded, and what feels outdated.

It won’t always be right, but it gives you a starting point instead of rereading everything yourself with “fresh eyes”—which you may not have at 4 PM on a Thursday.

Always provide context. Detailed prompts with more information produce significantly better results than simply pasting text without explanation.

Generating FAQ sections

Ask AI to generate 10 common questions around your target keyword. Cross-check them with the “People Also Ask” section in Google and your own research.

Answer them, and you now have an FAQ section, opportunities for featured snippets, and a quick content gap analysis—all in about 10 minutes.

Writing alt text at scale

No one enjoys writing alt text for 200 product images.

Describe the image, add context about the page it appears on, and include the target keyword. Then ask AI to generate alt text that is descriptive and naturally includes the keyword where appropriate.

It’s not glamorous work, but it’s necessary—and now it’s faster.

You can also crawl your site with Screaming Frog, export the data into a CSV, upload it to your AI tool, and ask it to generate alt text. This works best when file names are descriptive.

And again, human review is essential. This is about speeding things up—not handing everything over to AI.

Technical SEO

Understanding error messages and log files

Not everyone working in SEO has a developer background. AI is useful for:

• Translating technical error messages into plain language
• Explaining what server logs are actually telling you
• Helping you understand why a page has been excluded from indexing

Paste in the data, ask for a simple explanation in English (or Ukrainian), and then ask what the solution should be. Verify the answer, but know that it can take you most of the way toward resolving the issue.

Writing Schema markup

Schema is one of those things everyone knows they should be doing more often, but no one finds particularly exciting.

Describe your page content to your chosen AI tool, specify the relevant schema type (FAQ, Article, LocalBusiness, Product, etc.), and ask it to generate JSON-LD code. Always validate it using Google’s Rich Results Test before implementation.

What used to take me 20 minutes per page type now takes five.

Creating regex for Google Search Console

If you use regex in GSC filters but aren’t a developer, AI is your new best friend.

Describe what you’re trying to filter (e.g., all URLs containing a specific subfolder, or all queries that include a certain term), and ask for a regex string.

AI gets it right more often than not, and you can also ask it to explain the logic so you actually understand what you’re implementing.

Analyzing crawl data with prompts

If you export crawl data from Screaming Frog or Sitebulb and aren’t sure what to prioritize, paste the summary data into your AI tool.

Ask it to help identify the most critical issues based on your website’s goals.

It won’t replace your expertise, but it becomes a useful “thinking partner” when you’re staring at a spreadsheet with 47 issues and only an hour left before a client call.

Reporting and Analysis

Writing the narrative behind the numbers

This is one of the most underrated uses of AI in SEO. You have the data. You have the charts. But the time-consuming part is writing the commentary that explains what happened, why it happened, and what comes next.

Provide AI with your key metrics and context about what happened during the month (algorithm updates, campaign launches, seasonality), and ask it to draft the narrative section of your report. Edit it, add your own insights—but stop writing it from scratch every month.

You can even upload reports from different data sources and ask AI to merge and summarize them. This alone saves me hours every month during reporting.

Summarizing long reports for clients

Not every client wants to read a 12-page report. Ask AI to condense your report into a five-point executive summary and place it at the top of the document.

Those who want detail will keep reading. Those who don’t will still feel informed—without you having to walk them through every chart on the next call.

Ask AI to write the summary for someone with no SEO knowledge, and it will produce something simple and easy to understand.

Detecting anomalies in data

Paste a table with your keyword rankings or traffic data and ask AI to flag anything unusual: sharp drops, unexpected spikes, or patterns that don’t match previous periods.

It won’t replace full analysis, but it works well as a “first filter” when you’re dealing with large datasets and can’t give every data set your full attention.

Research and Competitor Analysis

Running content gap analysis

List your three main competitors and your own site. Ask AI to help brainstorm content topics they are likely covering that you are not, based on their positioning and audience.

Then validate these hypotheses using actual keyword research tools. AI doesn’t have direct access to competitor data, but it’s useful for generating hypotheses before you start manual work.

Getting up to speed in a new niche

When you take on a client in an industry you don’t know well, you need to ramp up quickly. Ask AI to provide a basic overview of the industry:

• Key terminology
• Major market players
• Buying cycle
• How people typically search for solutions
• Common customer pain points

This saves a huge amount of time during discovery calls.

Identifying search intent mismatches

Paste your list of target keywords and ask AI to classify them by intent: informational, navigational, commercial, or transactional. Then compare this with the type of page you’re trying to rank for those queries.

You will almost certainly find mismatches. It’s a task that’s easy to describe but extremely tedious to do manually for hundreds of keywords.

Client Communication and Account Management

Drafting difficult client emails

Everyone has had to write tough emails—whether it’s explaining a drop in rankings, addressing a missed deadline, or justifying changes the client may not like.

These emails take a disproportionate amount of emotional energy. Describe the situation, context, and what the client needs to understand or do. Ask AI to draft a response that is clear, professional, and honest. Edit it, send it, and move on.

Writing SOPs and process documentation

If you’ve been meaning to document your workflows but never found the time—AI removes that excuse.

Describe the process out loud (or jot down rough notes), paste it into AI, and ask it to create a structured SOP with numbered steps, decision points, and notes.

The first version will need editing, but having a solid draft is the difference between getting it done and letting it sit on your to-do list for another quarter.

Preparing for client calls

Before a call, paste in your latest report data, any issues from the past month, and what you plan to discuss. Ask AI to help structure an agenda and anticipate questions the client might ask based on that data.

You’ll go into the call more prepared and less likely to be caught off guard.

Productivity and Admin

Structuring your thinking

This one sounds abstract, but it’s one of my favorite uses of AI.

When I have a problem I can’t clearly articulate or I’m unsure about a strategic decision, I talk it through with Claude (my preferred AI assistant) to clarify my thinking.

It asks questions, reflects my ideas back to me, and helps me reach a clearer point of view faster than staring at a blank screen.

Ask AI to be “brutally honest” with you—otherwise, it will just agree with everything and reinforce your “genius.”

Creating reusable prompts

The biggest productivity gains from AI don’t come from a single task—they come from building a library of prompts that work for your workflow.

Every time you get a good result, save the prompt. Over time, you’ll build a system instead of starting from scratch each time. Most people overlook this, but it’s what creates compounding efficiency.

Tip: Many paid AI tools allow you to create “projects” with specific instructions. This is incredibly valuable for saving time, as you won’t need to repeat context in every prompt.

What these use cases do NOT replace

None of these tips replace the experience, judgment, and client relationships that make you a strong SEO professional.

AI doesn’t know the business the way you do.

It doesn’t understand industry nuances, account history, or the personality of the person you’re regularly communicating with.

AI reduces the time spent on tasks that don’t require deep expertise—so you can focus more on the work that does.

Use AI as a tool. Stay skeptical of the hype. And for the sake of good search performance—always edit everything before it reaches the client.

This article is available in Ukrainian.