Advertising Research: Studying Competitor PPC Keywords and Ads

Semrush’s Advertising Research reports show a competitor’s paid-search footprint: which keywords they bid on, what their ad copy says and how it’s changed, and whether they appear in product listing ads. Even if you never run paid campaigns, this data is gold for organic strategy — keywords competitors keep paying for have proven commercial intent.

HowToSemrush is an independent guide and is not affiliated with or endorsed by Semrush.

Key takeaways

Advertising Research shows paid keywords, ad copy history, and PLA presence for any domain — the visible part of a competitor’s PPC strategy.
Paid keywords signal commercial intent. If competitors keep paying for a keyword month after month, it converts — that’s the strongest intent signal in SEO.
Use paid data to inform organic priorities, not to copy campaigns: target organically the commercial terms competitors must buy.
Ad copy history reveals positioning — how competitors describe themselves, which benefits they lead with, which offers they test.
No spend advice here. This tutorial covers reading competitor advertising as research; budget and bidding decisions are yours to make with proper PPC guidance.

What Advertising Research covers

While most Semrush competitive tools study organic search, Advertising Research studies the paid side: the keywords a domain bids on, the ad copy it runs, and its product listing ad presence (the image-and-price units on shopping queries). Enter a competitor’s domain and see how they spend their search-advertising effort.

It’s the complement to the Competitors & Backlinks cluster: the competitor analysis tutorial showed what rivals rank for organically; this report shows what they pay for. Together they reveal the full search strategy — which keywords they win for free, which they must buy, and most interestingly, which they do both for.

Three views do most of the work: paid keywords, ad copy with history, and PLA presence. One standing note: Semrush updates its interface — if a label moved, search Semrush’s help center for the current name. And a scope note: this guide teaches reading competitor advertising as research. No budget recommendations, bid advice, or campaign setup — those are PPC-management decisions beyond this tutorial.

Reading a competitor’s paid keywords

Longevity is the signal. A keyword bid on for years is a keyword that pays for itself — businesses don’t fund losers indefinitely. Months of consistent bidding on a commercial term means proven buyer intent: stronger than any “commercial intent” label in a keyword tool, because it’s revealed by actual spending.

New paid keywords reveal new bets — often new products, landing pages, or market pushes. Cross-reference with organic rankings: a keyword they’re newly bidding on but not ranking for is one where the organic lane may still be open, and they’ve just told you the demand is real.

Branded vs. non-branded splits matter. Most advertisers bid on their own brand terms (defensive, cheap). The interesting rows are non-branded: generic category and problem keywords they pay to appear for. Those carry a price tag that tells you exactly how valuable ranking there would be.

Volume patterns hint at seasonality. Paid lists swelling at certain times of year reveal when a niche’s money moves — which informs your content timing too.

What to do with the list: export the non-branded paid keywords, remove anything irrelevant to your offering, and check each survivor’s organic difficulty. Proven paid demand plus beatable organic competition is among the highest-expected-value targets in SEO — demand confirmed by someone else’s wallet.

Ad copy history: what the words reveal

The ad copy view shows the actual text ads a competitor runs — headlines, descriptions, and how they’ve changed. Most SEOs skip this view. Don’t; it’s a masterclass in how your niche talks to buyers.

Positioning in their own words. Ad copy is the most distilled statement of how a company wants to be perceived: the benefit they lead with, the audience they name, the differentiator they claim. If every rival ad leads with “fastest setup,” speed is the niche’s battleground — and your content should address it (honestly, with your own evidence).

Test history is visible. Copy that survives a year beat the variants that disappeared in a month — you’re watching A/B testing from the outside. The surviving angles are market-tested messaging: which benefits resonate, which guarantees the niche trusts, which calls to action get used.

Offer patterns. Discounts, free trials, guarantees — the offers attached to ads tell you what it takes to convert here. That’s conversion intelligence too: it informs your landing pages and content angles (“X with free trial” vs. “X pricing explained”).

Gaps in the messaging. Sometimes the most useful finding is what’s missing. If no rival ad mentions a benefit you genuinely have — a privacy angle in a features-obsessed niche — that’s an uncontested lane. Paid data shows the conversation; the silence shows where to start a new one.

A caution on copying: study ad copy the way you’d study a rival’s storefront window — learn the strategy, write your own words. Lifting copy verbatim is unethical and ineffective, since copy tuned to their funnel won’t fit yours.

Product listing ads (PLA) presence

For niches with physical or listed products, Advertising Research also shows product listing ad presence — whether a competitor appears in the image-and-price units on shopping queries, and for which products. Even for organic marketers, this view earns its place:

PLA presence marks the money keywords. Queries triggering PLAs are queries where Google believes buyers are shopping. Heavy PLA presence plus competitor bidding means squarely purchase intent — prioritize these in commercial content (comparisons, reviews, “best X” guides).

Product-level insight. Which products a competitor pushes in PLAs reveals hero products and margin priorities — the items worth advertising are the items worth selling, and the ones your comparison content should cover first.

The organic counterpart. Many PLA-heavy queries also reward thorough commercial content organically. Where Google shows shopping units, it also ranks good comparisons. Your “best widgets of the year” guide belongs exactly there.

No physical products in your niche? This view will be quiet — the keyword and ad-copy views carry the tutorial for service and content businesses.

Turning paid insights into organic priorities

Pull 2–3 competitors’ paid keyword lists, focusing on non-branded terms with longevity (present for many months).
Score each for organic opportunity. Check organic difficulty and current ranking quality for every relevant paid keyword. The sweet spot: proven commercial intent (they pay for it) + beatable organic results (thin pages, outdated guides, forums ranking).
Map keywords to content types. “Best X” wants comparisons, “X vs Y” wants versus pages, problem keywords want troubleshooting guides, feature keywords want product-led content. Let the keyword’s shape dictate the format.
Steal the angles, not the ads. Extract the 3–4 messaging angles that survived longest in your niche’s ad copy, and build them into your content honestly — if “easiest setup” is the winning claim and yours genuinely is easy, prove it; if it isn’t, don’t claim it.
Feed winners into keyword planning — the Keyword Gap tutorial (which ones do competitors rank for that you don’t) and the Keyword Magic Tool guide (expand each winner into variants and questions).
Calendar it. Paid data showing seasonal surges means publishing 2–3 months early — organic rankings need lead time that paid campaigns don’t. For a concrete seasonal application, our Q4 competitor PPC research walkthrough shows what to read in competitor ad data before the high-competition season.

The principle: let competitors’ ad spend do your market research. They’ve run the expensive experiment of finding which keywords convert. Win those keywords the free way.

What this data can’t tell you

You can’t see spend, bids, or ROI. The report shows which keywords and what copy — not budgets, bids, or profitability. A competitor bidding on a keyword might be winning or quietly losing money; longevity suggests the former, but it’s inference, not data.
You can’t see landing-page conversion rates. Great ads can point at terrible pages. Don’t assume a visible advertiser is a successful one.
Coverage varies. Smaller advertisers, smaller markets, and newer campaigns get thinner data. Absence from the report isn’t proof of absence from paid search.
It’s recent history, not a live feed. There’s lag between a campaign launching and appearing in the data. Treat the report as recent history, not breaking news.
Paid success doesn’t guarantee organic opportunity. Some paid keywords are brutally competitive organically precisely because they’re valuable. Always check organic difficulty separately.

Frequently asked questions

What is Semrush Advertising Research?
It’s a set of competitive reports showing a domain’s paid-search footprint: the keywords it bids on, its ad copy and how that copy has changed over time, and its presence in product listing ads. It’s research into competitors’ advertising — useful both for PPC practitioners studying the competitive landscape and for organic marketers mining paid data for commercial-intent signals before planning content.

Can I use competitor PPC data for SEO?
Yes — that’s this tutorial’s core thesis. Keywords competitors consistently pay for have proven commercial intent (businesses don’t fund losing keywords indefinitely), which makes them excellent organic targets once you verify the organic competition is beatable. Use the paid keyword list as a validated starting point, check organic difficulty separately, and map each keyword to the content format its shape demands.

Does Advertising Research show how much competitors spend?
No. It shows which keywords they bid on, ad positions, estimated traffic from those keywords, ad copy, and PLA presence — but not budgets, bids, or ROI. You can infer confidence from longevity (keywords bid on for years are presumably profitable), but that’s inference, not data. Never build a business case on assumed spend figures; the report simply doesn’t provide them.

What are product listing ads (PLAs)?
Product listing ads are the image-and-price ad units Google shows for shopping-oriented queries — product photo, title, price, and merchant name. In Advertising Research, PLA presence data shows which competitors appear in these units and for which products. Queries triggering PLAs carry strong purchase intent, so they’re valuable markers for prioritizing commercial content like comparisons and detailed buying guides ahead of purely informational posts.

Should I copy a competitor’s ad copy for my content?
Study it, don’t copy it. Ad copy history is excellent for learning which messaging angles survive market testing in your niche — the benefits, offers, and positioning that resonate with buyers. But lift the insights (which angles work) and write your own words for your own funnel and audience. Verbatim copying is unethical, often ineffective out of context, and unnecessary when the strategic lesson is free.

Your concrete next step

Open Advertising Research on your closest competitor and export their paid keywords. Highlight every non-branded term they’ve bid on for six months or more, then check the top three for organic difficulty. If even one shows proven paid demand with thin organic competition, you’ve found your next content target — write the brief this week.

Educational note: HowToSemrush publishes independent educational content about using Semrush. This is educational only — not affiliated with or endorsed by Semrush. Semrush updates its features and interface over time, so verify current details on semrush.com.