How to find which keywords your competitors are bidding on in Google Ads

You cannot see a competitor's exact keyword list in Google Ads. Auction Insights shows which domains you met in an auction and how much impression share they hold, the Transparency Center shows every ad they run, and third-party tools estimate the rest by modelling auction and clickstream data. Only your own account is exact.

Most Google Ads accounts share a common blind spot. You see your own impression share, your own click costs, and your own conversion rates. But you rarely see the full picture: which keywords your competitors are actually bidding on, how much they are spending, and where their ad strategy overlaps with yours.

That blind spot costs money. A 2025 WordStream analysis of over 16,000 campaigns found that 65% of industries improved conversion rates despite higher CPCs. The takeaway: smart targeting beats cheap clicks. And smart targeting starts with knowing what your competitors are doing.

This guide walks through every method to find competitor keywords in Google Ads, from free built-in tools to third-party platforms. Each method answers a different question: who is bidding against you, on which terms, and with what messaging.

Start with Google Ads Auction Insights

Auction Insights is the most direct signal you have. It is free, it lives inside Google Ads, and it tells you exactly who else is bidding in the same auctions as you.

Navigate to Campaigns and select Auction Insights. The report shows six metrics for every competitor: impression share, overlap rate, outranking share, position above rate, top of page rate, and absolute top of page rate. Together, these tell you not just who appears beside you, but who is winning.

Run this report on your highest-intent non-brand campaigns first. If the same three domains appear across multiple ad groups, those are your real SERP competitors. They may not match your sales team's list of competitors. Trust the auction data.

Pay attention to overlap rate. A high overlap rate on a specific ad group means you and a competitor are both bidding aggressively on the same terms. A low overlap rate but high position-above rate means they show up on different searches but win when they do show. Both are useful signals.

Search your own keywords in incognito mode

Sometimes the simplest method is the most underused. Open an incognito browser window and search your core commercial keywords. Note every advertiser that appears in the top positions. Repeat this weekly, ideally from different locations using Google's Ad Preview and Diagnosis Tool.

Manual search reveals two things tools often miss. First, you see actual ad copy and landing pages in context. Second, you notice when a new competitor starts testing a keyword before they commit enough budget to appear in third-party tool databases.

While searching, capture screenshots or notes on the ad headlines, descriptions, and landing page URLs. These tell you what messaging each competitor thinks converts for that specific search. A keyword list without ad copy context is only half the intelligence.

Use the Google Ads Transparency Center

Google's Ads Transparency Center is a free, public database of every ad running on Google's platform. Search for any competitor by name and you will see their full ad catalog: every active ad, every variation, and the historical record of what they have run.

This is useful for pattern detection. If a competitor runs five ad variations all targeting the same benefit claim, that claim is central to their positioning. If they rotate ads seasonally or around product launches, you can anticipate their next move and prepare counter-messaging.

The Transparency Center will not tell you which keywords triggered each ad. But when combined with Auction Insights and manual search, you can reverse-engineer the keyword-to-ad mapping. If you see an ad about pricing on the Transparency Center and you spot that same ad on a comparison search, you now know which keyword triggered it.

Third-party tools: SpyFu, SEMrush, and Ahrefs

Google's built-in tools tell you who competes with you. Third-party tools tell you what they compete on. Each platform has a different strength.

SpyFu is built for keyword discovery. Search any competitor domain and download their entire paid keyword list: every term they bid on, estimated monthly clicks, and ad history going back years. It is the fastest way to build a broad competitor keyword file when you are starting from scratch.

SEMrush excels at ad copy and landing page analysis. Its Advertising Research tool shows you which paid keywords trigger ads, the landing pages attached to them, and the messaging patterns that keep repeating. Use it to map competitor positioning, not just keyword lists. For more on AI-powered competitive research, see our guide on Google Ads competitor research with AI agents

Ahrefs is strongest for gap discovery. Its paid keyword gap analysis compares your domain against competitors and surfaces terms where they have coverage and you do not. This is where you find the long-tail keywords competitors are quietly converting on while you fight over expensive head terms.

Use all three tools together, not as substitutes. SpyFu for breadth, SEMrush for depth, Ahrefs for gaps. Export into one master sheet and categorize immediately: core non-brand, competitor brand, comparison, feature-led, long-tail, and defensive.

Categorize keywords by intent before you bid

A raw keyword export is noise. The value comes from sorting terms by the intent behind the search.

Comparison intent terms like "[competitor] alternatives," "[competitor] vs," and "[competitor] pricing" are your highest-priority bucket. These searchers have already narrowed the category and are evaluating options. They often justify dedicated ad groups, custom copy, and specific landing pages.

Broad competitor brand terms are trickier. A search for a competitor's name alone could be a current customer looking for a login page, a job seeker, or an investor. These terms need tighter match types and aggressive negative keywords to filter out traffic that will never convert.

Feature-led terms, where your product has a real edge, often outperform broad conquest campaigns. If a competitor lacks a specific integration or reporting capability that you offer, bid on searches that include those feature names. Your ad copy can speak directly to that gap. For more on detecting competitor budget changes that signal strategy shifts, read our guide on how to detect competitor Google Ads budget changes

Match types and negatives make or break competitor campaigns

Competitor campaigns punish sloppy match types more than any other campaign type. Data from One Base Media shows that mixing exact and phrase match can lift CTR by 15 to 25% and ROAS by 1.5 to 3x in enterprise accounts, while broad match can cut conversions by 30 to 50% due to irrelevant queries.

Start with exact match for direct comparison terms like "[competitor] alternatives" or "[competitor] pricing." Expand to phrase match for controlled discovery around review and alternative searches. Use broad match only after you have built a strong negative keyword list and understand the search-term behavior.

Negative keywords are not optional. Add negatives for jobs, careers, login, support, documentation, and free downloads if you do not offer them. Review negatives weekly. Old negative lists can block good terms as your strategy evolves, so audit them alongside your search term reports.

Build a repeatable competitor keyword workflow

Competitor keyword research is not a one-time task. Competitors change bids, copy, offers, and landing pages. Google's match types drift. New advertisers enter your auctions. A weekly or biweekly routine keeps your intelligence current.

A practical weekly routine:

First, review Auction Insights for overlap changes. If a domain's overlap rate jumped from 15% to 40% in a week, they increased bids or expanded match types on your shared keywords.

Second, export paid keyword sets from SpyFu or SEMrush. Tag new keywords by intent before they enter any campaign. Third, capture ad copy themes and landing page angles from any competitor with new or changed ads. Fourth, mark weak spots where competitors overpromise, underspecify, or send traffic to thin pages.

Fifth, check AI search visibility as an additional layer. AI Overviews now influence 30 to 40% of queries in major markets. A competitor may dominate paid search but be absent from AI citations, which is a content gap you can exploit. Or they may appear in AI results for comparison queries, which means your landing pages need to address the framing users already saw before clicking.

The brands that win are not the ones collecting the most competitor data. They are the ones turning that data into faster decisions: which keywords to bid on, which gaps to exploit, and which competitor weaknesses to target with sharper messaging.

What keyword gap analysis actually uncovers

Keyword gap analysis answers three questions that generic competitor research does not. First: which high-intent search terms send traffic to your competitors but not to you. Second: how much budget your competitors allocate to specific keyword clusters based on impression share and bid patterns. Third: where your competitors are vulnerable because they dominate a keyword but neglect its long-tail variations.

The distinction matters. Standard keyword research tells you what people search for. Competitor keyword research tells you what competitors bid on. Gap analysis tells you what competitors bid on that you do not, the actionable delta. Without the delta, you are just collecting data.

One SaaS company running $40,000 per month in Google Ads discovered through gap analysis that three competitors were bidding on 47 comparison and alternative keywords they had never considered. Adding those keywords added 22 percent to their monthly trial signups within six weeks. The gap was hiding in plain sight.

Build your competitor keyword baseline

Before you can find gaps, you need to know what you already cover. Export your active keywords from Google Ads, including paused campaigns. Tag each keyword by intent: branded, competitor, category, and long-tail. This tagging step is the part most marketers skip, and it is why their gap analysis produces noise instead of signal.

A practical way to build this baseline: export your keyword list as a CSV. Add a column for intent. For each keyword, ask whether a user typing it wants to buy, compare, or learn. Branded terms like your company name go in one bucket. Comparison queries like "hubspot vs salesforce" go in another. This exercise alone often surfaces clusters you are underinvesting in.

If you have not done a structured competitor analysis before, start with our PPC competitor analysis framework to map your competitive landscape before diving into keyword-level gaps.

Pick the right tools for gap analysis

Three tools do the heavy lifting for keyword gap analysis, each with a different strength.

Google Ads Auction Insights is free and pulls data directly from auctions you participated in. It shows which competitors appear alongside your ads, their impression share, and overlap rate. If a competitor has a high overlap rate but low impression share, they may be bidding on a subset of keywords you are missing entirely. Auction Insights tells you who to analyze; it does not tell you which keywords.

Google Keyword Planner accepts competitor URLs as input. Enter a competitor's homepage and Keyword Planner returns 100 to 300 keywords Google associates with their domain. Cross-reference these against your exported keyword list. Anything in their list that is missing from yours is a gap candidate. The tool is free but the data is directional, treat it as a starting point, not a final answer.

SEMrush and SpyFu fill the precision gap. SEMrush's Advertising Research tool estimates competitor keyword portfolios, ad spend, and ad copy. Its Keywords Gap feature directly compares your domain against up to five competitors and flags terms only they rank for. SpyFu's Kombat tool does the same with 13 years of historical PPC data, which is useful for spotting seasonal bidding patterns. Both tools start at $39 to $139 per month. If you spend $5,000 or more monthly on ads, the ROI is typically there within the first month of gap-filling.

A practical stack: start with Auction Insights to identify your real competitors, then run Keyword Planner on their domains to surface gap candidates, then validate the highest-potential gaps through SEMrush or SpyFu before committing budget. Free tools alone miss 30 to 50 percent of long-tail gaps, according to PPC practitioners. But paying for tools without the free-layer groundwork means paying to analyze the wrong competitors.

Run the gap analysis in 5 steps

Step one: pick three to five competitors. Do not pick everyone. Focus on competitors whose customers match your ideal profile and who consistently appear in your Auction Insights. Picking fifteen competitors dilutes the analysis into noise.

Step two: export your keyword portfolio with intent tags. Include paused and low-volume keywords , gaps often hide in keywords you tested once and abandoned without enough data.

Step three: pull competitor keyword data. Run Keyword Planner on each competitor domain. If you have SEMrush or SpyFu, run their gap tools. Export everything to a single spreadsheet with columns for keyword, competitor, search volume, and estimated CPC.

Step four: identify gaps with a VLOOKUP or conditional formatting. Flag any keyword that appears in competitor data but not in your exported portfolio. Group gaps by intent category. You will typically find three clusters: competitor brand terms you did not bid on, comparison and alternative queries, and category-level terms you never considered.

Step five: prioritize by commercial intent, not search volume. A gap keyword with 200 monthly searches and clear buying intent beats one with 2,000 searches and vague information-seeking intent. Score each gap on three axes: intent strength, CPC feasibility, and landing page fit. Only green-light keywords that score on at least two of the three.

A common failure pattern: finding 200 gap keywords, dumping them all into a new campaign with a single ad, and burning budget. Gap keywords need the same segmentation, ad copy specificity, and landing page alignment as your core campaigns. Treat them as net-new opportunities, not a batch upload.

Turn gap keywords into campaign structure

Gap keywords fall into three operational buckets, and each needs a different campaign treatment.

Bucket one: competitor brand terms. These are searches for a competitor's name or product. Bid on them, but know they convert at 15 to 30 percent lower rates than your own branded terms. Start bids 20 to 30 percent below your brand campaign bids and adjust after 30 days of conversion data. Create separate ad groups per competitor so you can write specific ad copy that addresses why someone searching for Competitor X should consider you instead.

Bucket two: comparison and alternative queries. These are searches like "brand a vs brand b" or "brand x alternatives." They convert two to three times better than pure branded terms because the searcher has already entered evaluation mode. These keywords deserve dedicated landing pages that directly compare features, pricing, and use cases. Sending this traffic to a generic homepage cuts conversion rates by half or more.

Bucket three: category-level gaps. These are broad terms like "employee scheduling software" or "inventory management tool" that your competitors bid on but you never did. They require the most testing budget and the strongest negative keyword lists because they attract mixed-intent traffic. Start with exact match only, build a negative keyword list from the first two weeks of search term reports, and only expand to phrase match after you have clean data.

For a deeper look at structuring competitor keyword campaigns, see our guide on building a competitor keyword bidding strategy which covers bid frameworks, ad copy rules, and negative keyword management.

Common mistakes that waste your gap analysis

Mistake one: analyzing too many competitors at once. Gap analysis works best when you focus on three to five direct competitors. Adding indirect competitors, category alternatives, and aspirational competitors creates a spreadsheet with 800 keywords and no clear action plan. Narrow the field before you open the tool.

Mistake two: treating all gap keywords as equal. A competitor's branded term, a comparison query, and a broad category term are three entirely different things. They need different bids, different ad copy, and different landing pages. One campaign for all gap keywords is a fast way to watch your budget disappear.

Mistake three: skipping intent tagging in your own portfolio. If you do not know what intent categories your existing keywords cover, you cannot know which gaps actually matter. A gap in branded terms is a minor oversight. A gap in comparison queries is a revenue leak. Tag first, analyze second.

Mistake four: running gap analysis once and calling it done. Competitors change bids, add keywords, and launch new campaigns every week. A gap analysis from January is stale by March. Build it into a monthly or quarterly cadence tied to your campaign review cycle. For help finding competitor keywords in the first place, read our guide on how to find which keywords your competitors are bidding on.

Mistake five: ignoring Quality Score when filling gaps. A competitor dominates a keyword not just because they bid on it, but because their ad relevance, expected CTR, and landing page experience earned them a higher Quality Score. If you add a gap keyword without optimizing the ad and landing page for it, you will pay more per click than your competitor and still lose the auction. Gap analysis gets you the keyword list; execution gets you the traffic.

Automating your gap analysis workflow

Manual gap analysis works when you have time. When you do not, automation fills the gap. The adextract MCP server connects your ad intelligence data to any AI workspace, letting you run competitor keyword reports programmatically. Instead of exporting CSVs from three tools and running VLOOKUPs, you query competitor keyword data directly and feed it into your campaign planning workflow.

A practical automation stack: schedule a weekly pull of your top five competitors' keyword data through the adextract MCP server, diff it against your active keyword list, and flag new gaps to a Slack channel or spreadsheet. The first time you set this up takes an afternoon. Every week after that, it takes zero minutes. For teams spending $10,000 or more monthly on ads, the time saved compounds quickly.

The goal is not to replace human judgment. The goal is to remove the repetitive part, the data collection, the exports, the cross-referencing, so the marketer spends their time on what only they can do: deciding which gaps are worth filling and how to fill them.

A keyword gap analysis that sits in a spreadsheet is a missed opportunity. Run it once a month, feed the gaps into structured campaigns, and build the automation that makes the next run faster than the last. The competitors who show up in your Auction Insights are already doing some version of this. The gap is not in the data. The gap is in the action.

2026 update: AI Overviews and new keyword signals

Google's AI Overviews changed how competitor keyword data behaves. On many commercial queries, the AI-generated answer now sits above the top organic result, which compresses click-through rates for position one to three and shifts which keywords are worth bidding on. A competitor brand term that used to produce a clean paid auction now competes with a summary box that may answer the query without any click.

That does not make competitor keyword research useless. It makes the signal selection more important. Watch which competitor queries trigger AI Overviews, because those are the queries where a well-built ad with a clear offer can still win the click that organic results lose. Brand terms with AI answers need tighter ad copy and a stronger differentiator in the first line.

The second new signal is AI-generated product comparisons. When Google's overview directly compares your product with a competitor, that competitor keyword becomes a high-intent battleground. Track these queries in your gap analysis and prioritize them over plain competitor brand terms.

To automate this discovery, our guide on the Google Ads API MCP server shows how to pull auction and keyword data into an AI workspace on a schedule instead of running manual exports.

Once you have the keyword set, run the full competitor keyword gap analysis to turn raw terms into a prioritized campaign plan.

Revisit this workflow quarterly. The search landscape in 2026 moves faster than the old annual keyword refresh, and competitors who update monthly will see gaps in your campaigns that you have not caught yet.

One practical filter before you act: ignore competitor keywords with AI Overview answers that fully resolve the query. The impressions may look large, but the click-through ceiling is low. Focus your budget on the terms where the overview still sends users to a search result, because that is where your ad can actually win the visit.

August 2026 update: keyword sets drift faster now

Two changes in 2026 made competitor keyword research a faster-moving target. Google's shift to AI-driven bidding means competitors can enter and exit auctions on the same terms within days, not months. And the rise of MCP servers for ad platforms means the teams that automate their research see those shifts first.

The practical effect: a competitor keyword list you exported last quarter is already stale. The brands winning auctions in August 2026 run weekly overlap checks against Auction Insights and pull fresh keyword sets from ad intelligence APIs on a schedule, not when someone remembers to log in.

That changes which signals matter. Impression share and overlap rate still tell you who is bidding. But with AI bidding, you also want to watch the trend line, not the snapshot. A competitor whose overlap rate climbs for three straight weeks is testing new match types or new terms, which is a leading indicator of a campaign expansion.

Spend estimates add the budget dimension. When you combine auction overlap with estimated spend, you can separate competitors who are testing a keyword cheaply from competitors who are scaling it aggressively. Only the second group deserves a defensive bid or a counter-campaign.

For teams that want this on a schedule, the Google Ads API MCP server guide shows how to pull keyword and auction data into an AI workspace automatically, so your competitor keyword list updates itself.

Once you have a fresh keyword set, run the competitor keyword gap analysis to decide which new terms deserve budget.

One caution: AI Overviews still compress click-through on many commercial queries. Before you bid on any newly discovered competitor term, check whether the query triggers an AI answer that fully resolves it. If it does, the term may have high impressions but a low click ceiling.

The workflow that works in August 2026: export keyword sets weekly, cross-check overlap trends, tag every new term by intent, and bid defensively only where spend estimates show a competitor scaling. Speed wins more than volume.

What keywords are my competitors bidding on?

Google does not publish competitor keyword lists, and no tool can extract one from the auction. Auction Insights names the domains you competed with and reports impression share, overlap rate, position above rate, and outranking share. It names no search terms, and it never will.

The estimate is still worth having, because intent beats the raw list. The WordStream analysis of more than 16,000 campaigns cited above found that 65% of industries improved conversion rates after restructuring campaigns around intent categories rather than around a flat keyword export.

The closest thing to a competitor keyword list is three sources stitched together. Auction Insights tells you who is bidding. The Transparency Center tells you what offer they are pushing. A gap tool tells you which terms you have no coverage on. Pulling the auction half into an agent is what moves the cadence from quarterly to weekly.

How do you find competitor keywords without paying for a tool?

Three free moves cover most of it. Run Auction Insights on your highest-intent non-brand campaigns, search your commercial terms in incognito to capture the ad copy competitors are running, and put a competitor domain into Google Keyword Planner to get a seed set of terms they plausibly bid on.

Keyword Planner accepts a competitor URL and returns 100 to 300 keyword ideas for it. Those ideas are candidates, not confirmed bids. Treat each one as something to verify against ads you can actually see delivering in the Transparency Center before it earns budget.

The free stack has one gap that matters: it cannot tell you what changed since last week. That is where automation earns its place. Our guide to the Google Ads API MCP server shows how to schedule the auction and keyword pull, and the PPC competitor analysis framework takes those terms through to campaign structure once you have them. Free tools find the terms. The workflow above decides what you do with them.

Which competitor keywords are worth bidding on?

Sort every competitor term into three buckets before you spend anything, because the buckets behave differently in the auction. Comparison terms, category terms, and competitor brand terms each need their own match type, bid range, and landing page.

Comparison intent terms convert best and cost the most. Queries like "competitor alternatives" or "competitor pricing" attract buyers who already understand the category, so bid aggressively and send them to a page that names the competitor instead of a generic product page. Feature-led terms sit close behind and usually beat broad conquest campaigns when your product genuinely has the edge the searcher is comparing on.

Broad competitor brand terms are the most commonly wasted bucket. Someone typing a competitor's name may want support, a login, a job, or a refund, so exact match plus a negative keyword list handles most of the leakage before it costs anything.

The buckets also decide how you measure the result. Comparison and feature terms can be judged on cost per conversion. Competitor brand terms have to be judged on incremental lift, and most of them will never look profitable in a last-click report, which is why teams that kill them on that basis usually hand the auction back to the competitor.

How to find competitor keywords in AdWords today

AdWords is the old name for Google Ads, and the method for finding competitor keywords did not change with the rebrand. You still cannot read another advertiser's keyword list, because Google does not publish it. You infer the list from the ads a competitor runs, the terms where you meet them in Auction Insights, and the landing pages those ads point at.

Start in the Transparency Center and read the creative rather than the advertiser name. A headline that names a price, a category, or a comparison tells you the theme the advertiser is buying, and themes are what become candidate keywords. A dog food advertiser running free shipping over $40 is buying delivery and bulk terms, whatever its account structure says.

Then confirm overlap inside your own account. Auction Insights shows which domains share your auctions, and the keyword report shows which of your keywords they overlap on. That overlap is the only competitor keyword data you own outright, because it comes from your own auction participation rather than from a crawl.

Free tools cover the rest. Put a competitor domain into Google Keyword Planner to get a seed set, then treat every idea as a candidate that needs a visible ad behind it before it earns budget. Our guide to estimating a competitor ad budget shows how to size the themes you find, and the PPC competitor analysis framework takes them from a list into campaign structure.

What Google AI Max changed about competitor keyword research

AI Max for Search is the largest change to keyword research since close variants. Google's AI Max is a suite of targeting and creative features that runs as an optimization layer on a Search campaign, and it expands reach past exact keywords through broad match and keywordless matching.

That matters for competitor research in two ways. Keywordless matching means a competitor can serve on a query you hold no keyword for, so a gap in your list is no longer proof of a gap in their coverage. And the search terms report now separates AI Max matches, including keywordless ones, so you can see the incremental coverage instead of guessing at it.

The practical adjustment is to stop treating your keyword list as the ceiling. Export the search terms report with the source column visible, filter the match type to AI Max, and read the keywordless terms as demand you were not capturing. Those terms are the real competitor keyword set now, because they are where the auction is actually deciding winners.

Two habits keep this from becoming noise. Review the AI Max terms weekly rather than quarterly, and negative match the ones that never convert. Our guide to detecting competitor budget changes covers what to watch when a rival scales into those terms.

How do you find competitor keywords for free, step by step?

Five steps, about 40 minutes, no paid tool. First, list three to five direct competitors and confirm the exact advertiser name each one uses in the Transparency Center, because agencies and parent companies often advertise under a legal entity that differs from the brand.

Second, run Auction Insights at campaign level for your highest-intent non-brand campaigns over the last seven days, and note impression share, overlap rate, and outranking share for each tracked domain. Third, search your five highest-revenue keywords in a clean browser from your target region and screenshot the ads that appear, which is where you catch a competitor who started bidding this week.

Fourth, feed each competitor domain into Google Keyword Planner and keep only the ideas that match creative you have actually seen running. Fifth, and this is the step most teams skip, log every term with the date and the source you saw it on, because the value of this work is the change between two reviews rather than the snapshot.

What are the most common competitor keyword mistakes in 2026?

Three mistakes account for most wasted effort. Treating a tool estimate as a confirmed bid is the first, and it is the expensive one, because every keyword tool estimates from crawl and clickstream data rather than from Google's auction ledger.

Bidding on competitor brand terms without a negative list is the second. Someone searching a competitor's name may want support, a login, a job, or a refund, so exact match plus a maintained negative list is the entry price for conquesting at all.

Ignoring match type is the third. The same term behaves completely differently as broad, phrase, and exact, and a competitor keyword campaign built on broad match alone usually hands the auction to whoever wrote the better negative lists. If you take one thing from this guide, take the sequence: find the terms, verify them against a visible ad, then decide the match type before you decide the bid.

Frequently asked questions