Search is changing quickly. People are no longer using Google only to type a few words and open the first result. AI-powered search experiences can now answer questions, compare information, summarize topics, and provide links to sources.
For marketers and SEO professionals, this changes how competitor research should be done.
The basic goal remains the same: understand what your audience wants, study the competition, and create useful content. But the research process needs to look beyond simple keyword rankings.
Google says its AI search features, including AI Overviews and AI Mode, still rely on core Search systems and existing SEO fundamentals. Google also recommends creating useful, original, people-first content rather than trying to create content specifically to manipulate AI results.
That makes competitor intelligence even more useful. Instead of only asking, “Which website ranks first?”, marketers need to ask what makes competing content useful and where there are opportunities to provide something better.
What Is Competitor Intelligence in SEO?
Competitor intelligence is the process of studying other websites in your market to understand their content, keywords, backlinks, pages, and overall search strategy.
For example, if you run a website about digital marketing, you might study competing websites to find:
- Keywords they target
- Pages that attract organic traffic
- Topics they cover frequently
- Questions they answer
- Websites linking to them
- Content formats they use
- Pages that perform well in search
The purpose is not to copy competitors.
Instead, this research gives you information that can help you make better decisions about your own website.
AI Search Changes the Way Competitors Should Be Studied
Traditional SEO research often focuses heavily on rankings.
A marketer may check a keyword, see which websites rank in the top 10, and then try to create a page that is longer or more optimized.
That approach is becoming less useful on its own.
AI search can understand related questions and combine information from different searches. Google describes a process called “query fan-out,” where related searches can be used to explore different aspects of a user’s question before generating a response.
This means a single topic can have many connected search needs.
For example, someone searching for “email marketing software” might also want to know:
- Which software is suitable for a small business?
- How much does it cost?
- What features should I look for?
- Which tools offer automation?
- How difficult is the setup?
- What are the alternatives?
Competitor research should therefore cover the whole topic rather than one keyword.
Look Beyond the Main Keyword
One of the easiest ways to improve competitor research is to stop looking at only the main keyword.
Suppose your target keyword is “SEO tools.”
Instead of only checking who ranks for that phrase, examine related topics such as:
- SEO tools for beginners
- Keyword research tools
- Competitor analysis tools
- Backlink analysis tools
- Website audit tools
- SEO tools for small businesses
- Free SEO tools
- SEO tools for agencies
This gives you a better understanding of the topic and the content users may expect to find.
It can also help you build supporting pages around a main topic.
Study the Actual Content
SEO tools can tell you which pages are ranking, but marketers still need to read those pages.
Look at the structure of competing articles.
Ask yourself:
- Does the article answer the main question quickly?
- Is the information current?
- Does it provide examples?
- Are important questions missing?
- Does the page contain original research or experience?
- Is the content easy to understand?
- Does the article simply repeat information available elsewhere?
This last point matters more as AI-generated content becomes easier to produce.
Google’s current guidance specifically recommends creating unique, useful content that adds something beyond common information already available online.
Find Content Gaps
A content gap is an area where existing search results do not fully answer what users need.
For example, suppose several competing articles explain how to use a particular SEO tool, but none of them explain how a small business can use the tool with a limited budget.
That can be an opportunity.
Another competitor may have detailed technical information but poor examples. Another may have good examples but outdated information.
These differences can help you decide what your own article should include.
The goal should be to fill a genuine information gap rather than simply adding more words to an existing article.
Use SEO Tools to Make Research Faster
Manual research is useful, but SEO platforms can make competitor analysis much faster.
Depending on the tool, marketers can research areas such as:
- Organic keywords
- Competitor domains
- Ranking pages
- Backlinks
- Keyword difficulty
- Search volume
- Traffic estimates
- Keyword changes
- Content opportunities
For freelancers and small marketing teams, tool costs can sometimes become a concern. Some marketers therefore search for options such as cheap Semrush access when they need SEO research features without taking on the cost of a full subscription.
Before using any third-party access service, it is sensible to check its terms, account setup, privacy conditions, feature availability, and whether the method of access is suitable for your work.
Track Competitor Changes Over Time
Competitor research should not be a one-time activity.
A website that ranks well today may publish new content next month, update an existing page, gain new backlinks, or change its site structure.
Regular monitoring can help you notice these changes.
You could track:
- New pages
- Important ranking changes
- New content topics
- Backlink growth
- Changes to title tags
- Major content updates
- New products or services
- Changes in search intent
You do not need to monitor everything. Focus on a small group of competitors that directly compete for the same audience.
Pay Attention to Search Intent
AI search makes search intent even more important.
A keyword can look simple but represent several different needs.
Consider the search “best laptop for graphic design.”
A user could be looking for:
- Recommended specifications
- Laptop comparisons
- Budget options
- Software compatibility
- Display quality
- Battery life
- Buying advice
If competitors only provide a list of laptops, there may be room for a more useful resource that explains how to make the decision.
This is where competitor intelligence becomes more than keyword research.
You are trying to understand the question behind the search.
Keep Technical SEO in Place
AI search does not remove the need for technical SEO.
Google says pages need to meet the normal technical requirements for Search and be eligible to appear in Search in order to be considered as supporting links in AI features. Google also continues to recommend basics such as crawlability, internal linking, good page experience, and making important content available in text form.
So marketers should continue checking:
- Indexing
- Robots.txt
- XML sitemaps
- Internal links
- Page speed
- Mobile usability
- Canonical URLs
- Structured data where appropriate
- HTTPS
- Broken links
There is no need to create a completely separate technical SEO system just for AI search.
Use Search Console to Measure Changes
Google Search Console remains useful for measuring organic search performance.
Google has also introduced dedicated reporting for visibility from generative AI features in Search. The reports provide additional insight into impressions from experiences such as AI Overviews and AI Mode.
This gives marketers another reason to monitor their data instead of relying only on third-party ranking tools.
Look for changes in:
- Search impressions
- Clicks
- Queries
- Pages receiving traffic
- Search visibility
- Conversions
If a page loses traffic, investigate what changed before making major edits.
Don’t Try to Write Only for AI
One of the biggest mistakes marketers can make is creating content specifically for an imagined AI algorithm.
There is no special writing formula that guarantees inclusion in AI search.
Google’s guidance says existing SEO fundamentals remain relevant. It also advises against tactics such as creating unnecessary pages for every possible query variation or trying to manufacture mentions simply to influence AI results.
A better approach is simple:
Write for the person who needs the information.
Use clear headings. Answer questions directly. Add useful examples. Keep information accurate and updated. Include original experience or research when possible.
These practices can help both traditional search and newer AI search experiences.
Build a Competitor Research Routine
A simple monthly process can keep competitor intelligence manageable.
Start by checking a few important competitors. Review their new pages, major ranking changes, important backlinks, and content updates.
Then compare their work with your own website.
Ask:
What are they covering that we are not?
What are we explaining better?
Where are users still missing useful information?
Which pages should be updated?
Are there new topics worth covering?
This turns competitor research into an ongoing part of SEO rather than a task performed only when traffic drops.
Final Thoughts
AI search is changing how people discover information, but it does not make traditional SEO irrelevant. Google continues to connect its AI search features with its core Search systems and recommends the same basic principles: useful content, clear technical structure, and information created for people.
For marketers, the practical change is in how competitor intelligence is used.
Instead of focusing only on rankings, study topics, search intent, content quality, gaps, technical structure, and changes over time. Use SEO tools to collect data, but combine that data with actual reading and analysis.
The strongest competitor research is not about finding a page to copy. It is about understanding what users need and finding ways to answer those needs more clearly and completely.