AI Overviews changed keyword research in a way that feels subtle until you notice a decline in your organic traffic. A search can look easy on paper and still send almost no clicks to your website.
That means low-competition keywords are no longer the same thing as low-volume keywords. You need to target terms where Google still has a clear reason to send a visitor somewhere else instead of providing the answer directly in the search results.
The good news is that the easy wins are still there. They just hide in a different part of the SERP.
Key Takeaways for Low-Competition Keywords After AI Overviews
The old habit was simple, find a term with decent search volume and weak competition, then write a page around it. That still matters, but it is not enough when an AI Overview can answer the query before your result gets a chance.
Now the better question is, “Does this search still need a click?” If the answer is yes, you have got a real shot.
Look for queries with narrow search intent, messy context, fresh details, or a comparison the AI cannot flatten into two lines. Those are usually the places where smaller sites can still win.
Why AI Overviews Changed the Meaning of “Easy”
AI Overviews now occupy the prime real estate where many organic clicks used to land. On informational searches, this shift can transform what was once a decent ranking into a thin trickle of traffic within the search engine results.
Semrush’s AI Overviews study found that these boxes appear most frequently on low-volume queries, and nearly 60% of the keywords in that sample had 100 or fewer monthly searches. That is the nuance many marketers miss. Small search volume does not necessarily mean easy traffic anymore.
The other shift is even more challenging. Ranking first does not guarantee that your page will be cited as a source. Search Engine Land’s reporting on AI Overviews and rank positions showed that the overlap between top organic results and cited sources is weaker than it used to be.
So yes, volume still matters. However, the SERP now does more of the filtering for you. A keyword might look soft when you analyze its keyword difficulty, but it can still be a bad bet if the AI Overview consumes the entire answer.
Search Queries That Still Need a Click
The easiest low-competition keywords after AI Overviews tend to share one thing, they need context. Rather than simple informational intent that can be satisfied with a generic summary, these queries require nuance.
Comparison searches are a good example. Queries like “X vs Y,” “best X for Y,” and “X alternatives” usually need more than a quick explanation because the searcher wants judgment, not just facts. Pricing terms behave the same way. People want current numbers, packaging, or a real breakdown.
Local and service-based searches still have openings too. A search like “SEO consultant for dentists in Austin” or “best bookkeeping software for freelancers in the UK” uses long-tail keywords that are narrow enough to dodge giant head terms, but specific enough to matter.
If the answer fits in two neat sentences, the SERP may eat the click.
You also want terms that depend on freshness. Anything tied to a new update, a new tool, a changed policy, or a recent platform feature can stay open longer than a broad evergreen query. AI Overviews are good at recycling common knowledge. They are weaker when the answer needs current details.
How to Read the SERP Before You Pick a Keyword
The SERP is the part most people skip, which is why they keep chasing the wrong terms. While standard keyword research tools can tell you there is search demand, they cannot tell you whether the results are thin, stale, or clogged with giants.
Start with the page one layout. Is there an AI Overview? Are the top results from huge brands with high domain authority, or do you see weaker pages with obvious gaps? Check if the titles are repetitive or generic, as this often indicates room for a fresh perspective.
If the first page is full of listicles with no real point of view, that is a signal. If the search engine results include forums, videos, or outdated posts, that is another indicator. Those queries often leave the door open for a better page with cleaner structure and stronger proof.
The other thing to watch is what the AI Overview cites. If it keeps pulling from the same obvious sources, that keyword may be harder than it looks. If the citations are scattered or thin, you may have a path in. The competition is not always about rank. Sometimes it is about being one of the few pages the model trusts enough to quote.
Why Narrow Intent Usually Wins
Broad keywords look attractive because they have bigger numbers. However, narrow keywords win because they are less crowded, more precise, and directly align with user search intent. While high-volume keywords often lure creators into massive competition, these targeted terms offer a much clearer path to ranking.
A search with tight intent usually contains a clue in the modifier. Words like “for beginners,” “for Shopify,” “under $100,” “in 2026,” “without code,” or “near me” all shrink the field. They also tell you what the reader actually wants, which is half the battle.
That is where a lot of bloggers and small businesses leave money on the table. They start with broad seed keywords and stop there, never looking at the specific versions underneath. “Email marketing” is a grind. “Email marketing for local gyms” is a page you can probably make useful.
You want the searches where the user has a specific problem, but the SERP still feels generic. That mismatch is gold. It usually means Google has demand data, but not a perfect answer.
The trick is not to collect every tiny phrase you can find. It is to find the few that map cleanly to a real page on your site. If a keyword is narrow and useful, but it has no business value, skip it. Low competition still has to be worth the work.
Build Around One Page, Not One Phrase
The best pages usually don’t chase a single keyword. Instead, they cover comprehensive keyword clusters and topic clusters around one clear, focused subject.
Think about how people search in the real world. They don’t ask one clean question and stop. They bounce from the main query to follow-ups, comparisons, edge cases, and what if scenarios. A good page gives them room to do that without sending them back to Google. By using internal linking, you can connect these related ideas to support the structure of your content and guide the reader through a complete narrative.
That means you should group your target terms by intent before you write. One page can often cover the main query, a few comparison terms, and the obvious follow-up questions. That is a lot better than publishing five thin pages that all fight each other for traffic.
This is also where AI Overviews create an opening. If Google is summarizing the obvious answer, your page needs to carry the details the summary leaves out. Add examples, current screenshots, use cases, and a few direct answers near the top. Keep the structure clean. Make the page easy to quote, easy to scan, and easy to trust.
The sites that do this well usually look less like keyword farms and more like the best possible answer to a narrow problem. That is the whole point. You are not trying to out-yell everyone; you are trying to be the clearest page in the room. This approach builds the kind of topical authority that search engines reward, proving your site is the definitive resource for your specific niche.
Validate the Idea Before You Write
A keyword that looks good in a spreadsheet can still be a dud. The fastest way to avoid that is to test the search before you build the page.
Start with Google Search Console if you already have content live. Look for queries with steady impressions and weak clicks. You can also perform a keyword gap analysis to see where your competitors are outranking you for terms you have yet to target. If those terms trigger AI Overviews, check whether the page still has a reason to exist in its current form. Sometimes the answer is a refresh. Sometimes it is a new angle. Sometimes it is a skip.
Then search the term by hand. Do this in a real browser, not just a tool. See what kind of pages rank, what the AI Overview cites, and whether the results are packed with big brands or full of gaps. That one habit saves more time than any fancy dashboard.
If you want a shortlist of tools for this kind of work, this roundup of AI SEO tools for solo bloggers is a useful place to compare options. Whether you use Ahrefs to research volume or rely on a specific keyword difficulty score to gauge competition, remember that these tools support your judgment rather than replace it. They just make the messy parts a little less messy.
A solid validation pass should answer three questions. Is there real search traffic to justify the effort? Is the SERP weak enough to beat? And can your page add something the current results do not? If any of those answers is no, move on.
The Best Opportunities Are Hiding in Plain Sight
AI Overviews did not kill keyword research. Instead, they forced us to move beyond lazy practices toward a more rigorous approach to competitive analysis.
The best low-competition keywords now come from searches that still need a click, narrow intent that tools cannot flatten, and SERPs that leave obvious gaps. If the page one results look thin, dated, or generic, that is where the opportunity usually sits.
That means the game is a little less about raw volume and a lot more about fit. Find the searches where your page can say something useful that the AI Overview cannot fully replace. That is where the clicks still live.
FAQs About Low-Competition Keywords After AI Overviews
How do you know if a keyword is still worth targeting?
Check the live SERP first. If the result page has an AI Overview, weak organic results, and a clear mismatch between the query and the answers shown, the keyword may still be a valuable opportunity for finding low-competition keywords.
Are long-tail keywords still useful?
Yes, but only when they carry real intent. Long-tail terms with comparisons, pricing, local context, or fresh details still offer openings. Randomly obscure phrases with no business value do not.
Should you avoid keywords that trigger AI Overviews?
Not always. Some are bad targets because the overview answers everything. Others still send clicks because people want proof, examples, or a deeper take that AI often lacks. In these cases, users are more likely to trust content supported by quality backlinks and a solid profile of referring domains, as these signals help verify the authority and expertise behind your specific perspective.
What’s the fastest way to find these opportunities?
Use Google Search Console, then search the terms by hand. That combo shows you where impressions exist, where clicks are falling, and which queries still leave room for a stronger page.
Conclusion
The search engine results have changed, but the fundamental job remains the same. Focus your efforts on identifying queries where users still need a dedicated page to solve their problem rather than just a quick summary.
That usually means targeting narrower intent, looking for weaker SERPs, and ensuring there is a clear reason for your content to exist. If a keyword appears to have low search volume but the current results are thin, that is often the specific opportunity worth chasing.
AI Overviews have made the first screen noisier, but the best opportunities are the ones that still cut through the clutter.
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