Tag: Brand Protection

  • How I Defend Branded Traffic From Competitor Google Ads

    How I Defend Branded Traffic From Competitor Google Ads

    How competitors target your branded traffic with Google Ads

    I no longer think of branded search protection as simply bidding on my own brand name. Competitors can position themselves against my brand through landing pages, ad copy, modifier keywords, and Google Ads automation, often in ways that look completely legitimate.

    The real pressure often goes beyond keyword bids. Comparison pages that pass review, dynamic keyword insertion that pulls brand names into headlines, and policy gaps that allow competitors to appear beside my brand can quietly weaken performance without clearly breaking Google’s rules.

    By the time I notice the pattern, the damage may already be visible in branded CPCs, impression share, or conversion rate. That is why I pay close attention to how these tactics work, how to spot them early, and how to respond without overreacting.

    1. Dynamic keyword insertion

    Dynamic keyword insertion, or DKI, is designed to make ads feel more relevant by automatically inserting a user’s search query into the headline. In competitive brand auctions, I see it as a tactic that can create a meaningful loophole.

    If a competitor bids on my branded terms and uses DKI, Google can dynamically place my brand name in the ad headline in real time, even if the competitor never typed my trademark into the ad copy.

    That distinction matters. The competitor is not explicitly writing my trademark into the ad. Google is inserting the searcher’s query. To the user, the ad may look like it directly references my brand. Inside Google’s system, it is treated as standard query matching.

    The result is frustrating: an ad can appear to reference my brand, capture high-intent traffic, and send that user to a competing offer without obviously violating policy.

    I have seen this happen from both sides. Sometimes competitors use it intentionally. Sometimes brands trigger it in their own accounts without realizing what is happening. In one case, a competitor’s name started appearing in a brand’s ad headlines because of DKI. No one had written that name into the ad; Google inserted it based on the query.

    The bigger challenge is that I cannot reliably detect this from inside Google Ads alone. I have to audit the search results page directly. Otherwise, I may only notice the problem after branded CPCs rise or conversion rates start to slip.

    Dig deeper: When to use branded and competitor keywords in PPC

    2. Comparison landing pages

    Comparison landing pages sit in a gray area. Google does not evaluate landing page content the same way it reviews ad copy. If a competitor creates a page such as “[Your Company] alternatives” or “[Competitor vs. Your Company]” and bids on my branded terms, the ad can still run as long as the ad itself stays neutral.

    The ad does not have to mention my brand at all. It can use broad language like “Find the right solution,” “Compare top tools,” or “See your options.” The competitive positioning happens after the click.

    Once the user lands on the page, the comparison does the work. The page may include feature charts, pricing callouts, benefit comparisons, and carefully framed language such as “Why teams choose us over [Your Company].” The page may not be misleading or technically noncompliant, but the intent is obvious.

    Google’s review process tends to focus on the ad rather than the full post-click experience. As long as the ad copy does not make explicit competitive claims, the system may treat it as compliant, even when the landing page is built entirely around positioning against my brand.

    This works because landing page relevance can reinforce auction strength. A page built around my brand and the keywords in the ad group may align closely with the searcher’s intent. Even if the ad copy stays generic, the post-click experience can help the ad compete because it matches what the searcher is trying to evaluate.

    When I respond, I do not focus only on one advertiser. If competitors are using comparison-driven experiences to intercept branded demand, I look at the broader search ecosystem around my brand.

    • I strengthen my presence across the full search results page, not just my own ads.
    • I invest in publishers, review platforms, directories, analysts, and affiliates that influence comparison and alternative searches.
    • I work to build a search results page where credible third-party sources reinforce my positioning when prospects search for alternatives, comparisons, reviews, or competitor evaluations.

    The brands that win these moments do not rely only on their own landing pages. They shape the narrative across the entire search results page.

    Dig deeper: Own your branded search: Building a competitive PPC defense

    3. Brand modifier keywords

    Brand keyword bidding is not new, but I see competitors using it in more strategic ways. Instead of bidding only on my exact brand name, they target brand-and-modifier combinations that give them more flexibility.

    For example, if my brand were “Acme Project Manager,” a competitor might bid on searches like “Acme Project Manager alternative,” “Acme vs. competitors,” or “Acme pricing review.” Their ad copy can avoid mentioning Acme by name while still using the search context to position itself as the alternative.

    Google allows this because the ad itself does not explicitly mention my brand. The searcher does. Modifier keywords provide enough context for the ad to compete without directly referencing a trademark in the copy.

    When competitors bid on terms like “[Your Brand] alternative” or “[Your Brand] vs.,” they are targeting lower-funnel research queries. These searchers may not convert at the same rate as people searching only for my brand, but they can still change the auction dynamics.

    That pressure can increase branded CPCs, force me to spend more to maintain visibility, and raise the cost of my core brand terms, even if competitors convert relatively few of those modifier searches.

    I treat brand modifier queries as a separate audience. I segment them by intent, including pricing, reviews, alternatives, competitors, and comparisons, and I monitor Auction Insights for each group. Exact brand searches and comparison-driven searches need different strategies.

    I also build dedicated landing pages and messaging for each modifier intent. That helps me control high-intent research moments without overpaying for every branded variation.

    Dig deeper: How to benchmark PPC competitors: The definitive guide

    How I monitor and respond

    Manual SERP checks are useful, but they do not scale. If I have meaningful branded spend or active competitors targeting my terms, I use automated brand monitoring tools to identify activity across devices, geographies, and browsers that manual checks can miss.

    This is especially important when competitors use geotargeting, dayparting, or other tactics designed to limit visibility. A competitor may not appear every time I check manually, but that does not mean the activity is not happening.

    I also use a clear escalation framework. If a competitor uses my trademarked term directly in ad copy, I start with Google’s trademark complaint process. If the behavior continues after enforcement action, I document the pattern and involve legal counsel.

    Most other scenarios, including modifier bidding, comparison pages, and competitive positioning, are usually better handled through PPC strategy than legal action.

    Before I decide how aggressively to respond, I measure the economics. I estimate the monthly cost of competitor activity by calculating the increase in branded CPCs and the additional spend required to maintain visibility.

    Then I compare that number with the cost of my response, whether that means higher bids, new landing pages, expanded monitoring, or more investment in third-party visibility. My goal is to keep the cost of defending the brand lower than the value I am protecting.

    Build a proportionate response

    Competitors use modifier keywords, comparison landing pages, dynamic keyword insertion, and other policy-compliant tactics to influence buyers during critical research moments. Often, they can do this while staying within Google’s policies.

    The strongest defense I can build combines continuous monitoring, thoughtful audience segmentation, proportionate responses, and disciplined budget decisions.

    Competitive PPC success comes from understanding the auction, shaping the narrative across search results, and investing where my defensive efforts deliver the greatest return.


    Inspired by this post on Search Engine Land.


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  • How I Find Who Is Using My Brand in Paid Search Ads

    How I Find Who Is Using My Brand in Paid Search Ads

    I know competitive brand bidding is now a common PPC tactic, but that does not mean I treat it as harmless background noise. When competitors, affiliates, coupon sites, or misleading advertisers show up on branded searches, they can inflate CPCs, divert high-intent traffic, and confuse people who were already looking for my brand.

    I have seen how much difference visibility can make. Industry examples show that brands often uncover meaningful CPC inflation once they start tracking competitor bidding, affiliate activity, and trademark misuse. In documented cases, brands reduced branded CPCs by 25% to 75% after identifying infringing advertisers and enforcing their policies.

    In this guide, I walk through how I monitor branded keywords, identify who is advertising on them, and decide what actions may be available based on the evidence I find.

    Choosing Keywords So I Do Not Miss Hidden Activity

    When I want to find out who is using my brand in search ads, I start by deciding which keywords I need to monitor.

    The biggest mistake I try to avoid is watching only my exact brand name. That is a useful starting point, but it rarely shows the full picture. Some advertisers deliberately target brand-related coupon, discount, review, or alternative queries because those searches often come from high-intent users and attract less scrutiny.

    For example, someone searching for “Brand coupon” or “Brand discount code” may be much closer to buying than someone searching for the brand alone. Those queries often attract coupon affiliates, loyalty sites, and unauthorized advertisers trying to intercept branded traffic.

    I also pay attention to searches that include terms like “reviews” or “alternatives,” because those queries can bring in competitors and comparison sites that position themselves directly against my brand.

    Image

    Misspellings matter too. Some advertisers target spelling variations because they are less likely to be monitored and may face less competition.

    For a solid monitoring setup, I include my core brand name, “official page” and “login” variations, coupon and promo-code searches, review and alternative searches, commercial terms such as “buy,” “order,” and “sign up,” common misspellings, and localized versions of my brand name.

    If I am using Bluepear, its built-in AI assistant can generate keyword suggestions from this kind of list and help me expand coverage faster.

    The number of terms I monitor depends on the size of the brand portfolio, including trademarks, local branches, and product names. For many small to medium-sized brands, I would start with about 20 keywords and then expand as new risks, markets, and opportunities appear.

    Choosing Locations and Monitoring Frequency

    I do not rely on a single search from my office, on my device, at one moment in time. Search results are too dynamic for that. Two people searching the same branded keyword can see completely different ads and organic listings depending on their location, device, timing, and other variables.

    I also assume that some advertisers may be trying to hide their activity. A fraudster or an affiliate violating my PPC policy might run ads outside normal business hours to reduce the chance of being caught. If I only check manually during the workday, I may never see those ads.

    Image

    When I monitor branded search results, I look across the countries and markets where my brand operates, regional differences within those markets, mobile and desktop results, different times of day, and weekday versus weekend activity.

    Frequency matters just as much as coverage. Some violations appear briefly and then disappear. Running checks multiple times throughout the day gives me a better chance of capturing activity that would otherwise go unnoticed.

    Tracking all of these variables manually can become tedious, especially when a brand operates across multiple markets. Bluepear accounts for locations, devices, time zones, and redirects that can obscure the true destination of traffic. I can set the parameters once and gain continuous visibility without turning monitoring into a weekly time sink.

    Reviewing Search Results and Recording Evidence

    I do not assume every advertiser bidding on my branded keywords is breaking a rule. Competitors may be allowed to bid on branded keywords if they do not use my trademark in their ad copy. Affiliates may also be authorized to promote my brand under specific program conditions.

    Still, I need to know when an advertiser’s behavior crosses the line from legitimate brand bidding into trademark misuse, policy violations, or customer deception.

    The first signal I investigate is trademark use in ad copy. If the ad mentions my brand name in the headline or description, and my trademark rules or affiliate policies restrict that use, I treat it as a possible compliance issue.

    Image

    I also look for misleading claims. Phrases that imply the advertiser is “official,” references to exclusive offers, or language that suggests authorization when none exists can confuse users and deserve review.

    Coupon and discount promotions need special attention. I verify whether the advertised discount, promo code, or offer is legitimate, because some affiliates use expired, misleading, or fabricated offers to win clicks.

    I also watch for impersonation signals. Some ads and landing pages are designed to resemble a brand’s official website. Even if the advertiser does not directly claim to be my company, that kind of presentation can still confuse users and divert branded traffic.

    Because advertisers can change ad copy, pause campaigns, or remove landing pages at any time, I collect evidence quickly. I record the ad copy, SERP position, triggering keyword, location, URLs, redirects, landing page content, and timestamps.

    Bluepear can handle this automatically by compiling a report with the relevant details, which makes follow-up easier when I need to contact an affiliate, review a competitor’s behavior, or escalate a trademark issue.

    Identifying Who Is Behind the Activity

    Sometimes I cannot immediately tell whether an advertiser is a competitor, an affiliate, a coupon site, or something riskier. Branded search results often include multiple participants with different motivations, so I need to understand who I am dealing with before I decide what to do next.

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    I look for patterns. A direct competitor domain usually points to competitor bidding. A coupon or cashback page may indicate an affiliate, coupon site, or loyalty site. Affiliate network tracking links often suggest affiliate activity, although they can also appear in more questionable setups. Product comparison pages often point to competitors or comparison publishers.

    Other signals raise the risk level. If an ad uses my trademark, claims to be “official,” sends users through multiple redirects, promotes coupon codes I cannot verify, or lands on a page that imitates my brand’s design or messaging, I investigate more carefully.

    No single signal gives me a definitive answer. I combine multiple pieces of evidence before drawing conclusions. Once I know who is advertising on my brand terms, I can move beyond detection and decide whether their activity aligns with my policies and business goals.

    What I Do Next

    After I identify who is advertising on my brand terms and review their ads, the next step is choosing the right response.

    Competitor Brand Bidding

    Not every competitor bidding on my branded keywords requires immediate intervention. Before acting, I ask how often the competitor appears, which keywords they are targeting, whether they are using trademarked terms in ad copy, and whether they are sending users to comparison content or direct offers.

    In many cases, I monitor the activity and evaluate its business impact over time. Documenting patterns helps me establish a baseline, which can support future compliance reviews or legal conversations if escalation becomes necessary.

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    Affiliate Violations

    If an affiliate is bidding on restricted branded keywords or violating program rules, I gather evidence and contact the affiliate or network. My workflow is straightforward: document the violation, verify the affiliate ID, share the evidence, request removal or corrective action, and apply program enforcement measures if needed.

    Screenshots, timestamps, and redirect data make those conversations much easier because I can show exactly what happened, where it happened, and when it was detected.

    Trademark Misuse

    Trademark-related issues require careful review. I look for unauthorized trademark use in ad copy, ads that create confusion about brand affiliation, impersonation attempts, and misleading claims that the advertiser is an official brand representative, partner, or reseller.

    The right response depends on the circumstances, internal policies, and applicable laws. In many jurisdictions, competitors are generally allowed to bid on trademarked keywords. However, ads that confuse users about the advertiser’s relationship with my brand may raise trademark or unfair competition concerns, depending on the facts and local law.

    The advertising platform’s policies matter too. Google allows advertisers to bid on trademarked keywords, but it may restrict trademark use in ad text when a valid trademark complaint is submitted. Google also prohibits ads that use trademarks in a confusing, deceptive, or misleading way.

    Before I take action, I collect as much evidence as possible, including screenshots, detection timestamps, URLs, redirects, and landing page content. Once the facts are documented, I may contact the advertiser directly, submit a trademark complaint to the advertising platform, send a cease and desist letter, or escalate through legal channels if necessary.

    Why I Keep Monitoring Brand Search

    The main lesson is that branded search protection is not a one-time audit. Affiliates can activate and pause campaigns throughout the month. Some violations appear only on weekends, outside business hours, or in specific markets. An advertiser that disappears today may return next week with new ad copy, a new domain, or a different affiliate account.

    That is why I treat brand protection as an ongoing process. Occasional searches are not enough. I need consistent monitoring and a repeatable investigation workflow that shows who is appearing on my brand terms, how they operate, and whether action is warranted.

    If I want easier visibility into my branded search landscape, Bluepear helps identify issues earlier, respond faster, and make more informed decisions about protecting traffic and advertising investments.


    Inspired by this post on Search Engine Land.


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  • Paid Brand Mentions in GEO: The Risky Trap I See

    Paid Brand Mentions in GEO: The Risky Trap I See

    GEO brand trap

    As traditional SEO shifts toward GEO, I keep seeing one idea gain momentum: visibility in AI search depends heavily on off-site brand mentions. Because of that, marketers are being pushed to look beyond on-site content and invest more heavily in off-site marketing if they want to show up in AI answers.

    I agree that off-site signals matter more in AI search, and there is growing industrywide consensus around that point. The problem is that this shift has also created room for opportunists to repackage shady SEO tactics as legitimate GEO work.

    Unfortunately, I believe much of what is being sold under the GEO umbrella is unethical, low quality, and potentially fraudulent.

    The deception I see under the GEO umbrella

    I have personally audited the work of top-rated GEO vendors that offer brand mention outreach services. What I found was not sophisticated digital PR or thoughtful reputation building. I found providers charging premium prices for questionable work that often looks like paid link building with new packaging.

    The first tactic I see is vendors using “research studies” to support their sales narrative. Claims such as “X% of AI visibility is driven by third-party sources” can be stripped of context and used to convince marketers that they need an aggressive, high-volume system for manufacturing brand mentions.

    I also see these programs framed as “partnership” building. During the sales process, GEO vendors may describe the work as a way to build relationships with other brands. In practice, many of the so-called opportunities are low-quality paid-placement inventory schemes.

    Some vendors are selling PBN brand mentions, placing brands on Private Blog Networks for roughly 10 to 15 times the cost of a typical SEO backlink. Others sell topically irrelevant placements on sites that might publish one page about LMS software and another listicle about crypto wallets.

    I have also seen Reddit astroturfing presented as GEO work. Agencies use aged accounts to mass-post brand mentions across irrelevant subreddits, and many of those “mentions” are removed within 30 days because they violate community guidelines.

    Image

    When I look at what some GEO outreach vendors are pitching, I see an evolution of black hat link building. It is unethical, and it amounts to an attempt to manipulate AI systems.

    I see clients being asked to approve paid mentions

    I have seen this happen in Slack. The agency creates a “placement opportunity” for approval, and an internal marketing liaison has to review it. Often, that person is a junior specialist who has not been trained to evaluate whether the referring page is legitimate.

    The pitch usually includes a prompt topic, domain authority, citation rate, and publisher placement fee. In one example I reviewed, the fee was $250 in exchange for adding the brand mention.

    I also see publisher fees added on top of agency retainers

    This is the part I think deserves much more scrutiny. The GEO vendor may pay the publisher fee directly, then invoice the client to recover the cost. That means the client is not only paying the agency retainer, but also funding the paid mention itself.

    Why I think volume without relevance creates risk

    My view is simple: third-party validation is only valuable when it comes from credible, topically relevant brands. A mention is not automatically useful just because it exists somewhere on the web.

    Many GEO vendors argue that AI visibility is a “volume game.” They claim that generating a large number of mentions will meaningfully increase a brand’s “mention rate” in AI answers. I think that framing misses the point.

    When vendors treat GEO as a mention-rate, citation-rate, and volume problem, they often ignore the quality and relevance of the source. That is a serious flaw, especially when reputation is central to how brands are understood online.

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    In one example, I saw a page with several outgoing commercial anchors to LMS software vendors. To me, that is a hallmark signal of paid links. If GEO is a reputation problem, I would not want my brand mentioned on a page loaded with paid links to competitors.

    Why inauthentic brand mention spam may only work temporarily

    I think some spammy GEO tactics appear to work right now because many LLM citation systems are still immature compared with Google’s advanced spam detection. It is possible that some LLMs currently reward mention volume from low-quality sources that Google would normally ignore.

    That creates a temporary window of effectiveness, perhaps one to two years, before AI platforms improve their authority and spam signals. I believe marketers who prioritize high-volume mentions over brand safety risk confusing LLMs about their entity and damaging their reputation.

    Lily Ray’s view aligns with this concern. She argues that some GEO and AEO companies lack the experience to anticipate how Google and AI platforms may treat their tactics once stronger countermeasures are built into training data, indexes, and results.

    She also points back to the first Penguin update in 2012, when Google began suppressing inorganic links. In that context, paid mentions on low-quality sites look like another evolution of spammy link building, and I think it is naive to assume search and AI platforms will not eventually catch on.

    The unnecessary risk I see GEO vendors creating

    This type of work can cause real damage. Glenn Gabe has described it as an evolution of paid link schemes, and I think that description fits what many marketers are being sold.

    Marketing leaders are not just wasting time and money. They may be buying tactics that disappear, damage brand reputation, confuse LLMs about their entity, and pull resources away from more durable marketing work.

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    There may also be legal risk. The FTC says paid advertisements must include clear disclosures. Yet after paid or “negotiated” brand mentions are added to content pages, many websites do not update those pages to disclose that the placements were sponsored.

    How I evaluate GEO vendor claims about off-site mentions

    When I evaluate GEO vendors, I start with one basic concern: many prioritize mention volume over source quality. That does not mean every off-site mention strategy is bad, but it does mean the claims deserve pressure testing.

    If a vendor claims that most AI brand discovery comes from third-party sources, I ask whether that actually proves paid or negotiated low-quality mentions cause a brand to appear more often in AI answers. In my view, it does not.

    If a vendor says listicles and third-party pages are the main lever, I ask whether that supports paying to appear on thin, irrelevant, AI-generated listicles. Again, I do not think it does.

    If a vendor argues that AI search is different and traditional SEO quality judgment no longer applies, I push back. Google says the opposite for its AI search features: SEO best practices still matter, there are no special optimizations required for AI Overviews or AI Mode, and pages still need to follow Search policies.

    More broadly, I do not see substantial evidence that adding a paid mention to a cited page will make a brand appear more often, that low-quality long-tail publishers improve AI search visibility, that citation rate beats source quality, or that traditional SEO and brand safety principles are obsolete in AI search.

    Paying for “25 brand placements” to chase a “10-15% mention-rate lift” is not how I think marketers should approach AI search. I would rather pursue off-site mentions that reflect genuine category validation from trusted businesses, reputable publishers, and real communities.


    Inspired by this post on Search Engine Land.


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  • FactCheck Reveals AI Brand Accuracy Issues at Scale

    FactCheck Reveals AI Brand Accuracy Issues at Scale

    FactCheck AI brand accuracy analysis

    I’m introducing FactCheck as a new way for brands to understand how accurately AI engines describe them at scale.

    AI engines can make claims about my brand that simply are not true. With FactCheck, I can measure what is accurate, identify what is wrong, and see which sources are driving those errors.

    That visibility matters because AI-generated answers are increasingly shaping how people discover, evaluate, and trust brands. FactCheck helps me move from guessing about AI accuracy to actually analyzing it with clarity.


    Inspired by this post on Try Profound Blog.


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  • Unlock Business Growth by Aligning SEO and Affiliate Strategies

    Unlock Business Growth by Aligning SEO and Affiliate Strategies

    SEO and affiliate teams often influence the same metrics, such as revenue, rankings, and visibility in the digital landscape. By aligning these teams, we can cut costs and significantly enhance brand performance.

    In many businesses, SEO teams and affiliates—partners promoting our products for commissions—operate separately. While the SEO team focuses on rankings and organic traffic, the affiliate team is busy cultivating partner relationships and handling commissions. However, rarely do these teams collaborate, missing out on boosting their collective impact.

    Cross-departmental cooperation is essential for business growth. Collaborating with other teams helps me understand their views on success, expands my perspective beyond SEO, and reveals new opportunities for leveraging initiatives for SEO advancements.

    A harmonious relationship between SEO and affiliate teams is crucial. Let’s explore the importance of this alignment for brand protection, LLM visibility, and tool sharing, and how this synergy can enhance efficiency, save costs, and bolster business performance.

    Protect Your Brand and Search Terms

    It’s crucial to maintain control over brand-related search terms and not let affiliates dominate them. With my clients, anything affecting organic performance falls under the SEO team’s domain.

    Consider high-intent terms like:

    • [brand] + discount code
    • [brand] + promo code
    • And many other variations

    Allowing affiliates to rank for these terms can redirect your branded traffic and sales back to you, incurring unnecessary commissions. This costly situation can be easily avoided.

    Dig deeper: The best affiliate networks by need and use case

    How to Reclaim Your Rankings

    Brands can lose their conversions to affiliates as well, like Trainline. The term “trainline promo code” garners 17,000 monthly searches in the UK, yet Trainline fails to optimize their promotional page for this term, losing traffic and conversions to affiliates.

    The fix is simple: a focused adjustment of the meta title, H1, and main content to reflect these terms effectively.

    By reclaiming control over these rankings, we:

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```
    • Increased organic revenue.
    • Reduced affiliate expenses.
    • Enhanced overall business profitability.

    For instance, one brand we manage saw a boost in Share of Voice from 14% to 31% after a strategic content update, all overnight.

    These victories benefit the entire business, not just SEO. This is the true purpose of SEO — driving business growth through insight and strategy.

    Get the newsletter search marketers rely on.


    How SEO and Affiliate Teams Can Work Together to Compound Returns

    Affiliates generally produce content that enhances reputational signals like “Best of” and comparison articles. LLMs heavily weigh these signals, increasing our brand’s authority when mentioned in numerous reputable articles across our niche.

    Educating affiliates on including our brand in such articles can provide:

    • Increased affiliate visibility, leading to traffic and conversions from those placements.
    • Enhanced LLM visibility, boosting reputational signals that inform AI models recommending our brand.

    Technically, we need to manage affiliate tracking URLs correctly. No-indexing these URLs prevents them from being indexed in search results, avoiding potential indexing issues.

    I monitor this with SEOTesting, which alerts me about newly indexed URLs, allowing us to swiftly address any tracking URLs that slip through.

    Dig deeper: What incrementality really means in affiliate marketing

    Collaborate with Affiliates Today

    SEO and affiliate teams should not work in silos. Their synergy can save money and increase visibility. Affiliates can boost LLM visibility, while SEO data can empower affiliate decisions, driving business success together.

    The closer these teams operate, the more beneficial the results for the business.


    Inspired by this post on Search Engine Land.


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  • Master Your Brand’s Search: A Guide to PPC Defense

    Master Your Brand’s Search: A Guide to PPC Defense

    I’ve learned that not overseeing branded search campaigns means letting potential revenue slip through my fingers, leaving my reputation in the hands of competitors and review sites.

    Utilizing PPC for brand protection is more than just bidding on my name. It involves a comprehensive strategy of defensive bidding, query monitoring, ad testing, and managing my brand’s reputation throughout the customer journey.

    Why Brand Search Needs More Than Basic Defense

    Many assume that brand campaigns require minimal effort. I know it takes more than setting up a simple bid on my brand name—it demands attention across all customer touchpoints.

    Think about the various ways potential customers are searching for my brand. They’re not simply typing in my brand’s name; they’re investigating different aspects, validating choices, comparing alternatives, and researching features.

    If I limit my targeting to exact brand matches, I miss out on numerous relevant searches, leaving room for competitors to attract high-intent users.

    Review sites and affiliates bid aggressively on my brand terms, diverting traffic to competitive pages where other brands pay for top positioning.

    The true cost is profound: my brand equity, customer trust, and diminished conversion rates.

    Four Must-Cover Branded Search Categories

    By analyzing user intent and competitive gaps, I can categorize branded searches into four strategies, each requiring distinct ad tactics and tailored landing pages.

    Brand Trust and Reputation Queries

    These users are seeking validation through queries like, “Is [Brand] good?” They need assurance and social proof before committing.

    Review sites posing competitive threats make the need for targeted PPC ads crucial here.

    PPC Strategy:

    • Bid assertively for these high-intent users nearing conversion.
    • Use review extensions and star ratings in ads.
    • Highlight trust factors, like awards and years in business.
    • Send traffic to testimonial-focused landing pages rather than my homepage.
    • Test callout extensions with specific points of proof.
    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    Product Feature Queries

    Users seeking this information want to ensure my product aligns with their needs, and competitors often step in with rival feature claims.

    PPC Strategy:

    • Create feature-specific ad groups with corresponding ad text.
    • Direct users to targeted feature pages through sitelink extensions.
    • Address specific features in headlines, saving space by omitting my brand name.
    • Include feature demonstrations or videos on landing pages.
    • Evaluate if these queries need higher bids than core brand terms.

    Comparison Queries

    User searches like “Alternatives to [Brand]” indicate active comparison, making this a competitive battlefield.

    PPC Strategy:

    • Bid to maintain top page positions.
    • Create competitor-focused comparison landing pages.
    • Show pricing transparency if advantageous.
    • Regularly check auction insights for new threats.
    • Use category-level comparison ads for “Best [category] products.”

    Niche Questions

    These queries are high-intent and revolve around specific concerns or criteria, like “Is [Brand] expensive?”

    PPC Strategy:

    • Create FAQ-style landing pages addressing related concerns.
    • Test using lower bids, as competition is often minimal.
    • Use query reports to detect emerging concerns proactively.

    Explore further: How to benchmark PPC competitors: The definitive guide


    Inspired by this post on Search Engine Land.


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  • Harness Video: AI’s Truth Source & Your Brand’s Safeguard

    Harness Video: AI’s Truth Source & Your Brand’s Safeguard

    A quick five-minute video can offer more data to a large language model than many blog posts. Here’s how I can enhance my brand’s visibility for AI data retrieval.

    With OpenAI’s significant deal with Disney, web scraping is undergoing a transformation. This agreement lets OpenAI employ high-fidelity, human-verified cinematic content to minimize AI inaccuracies. 

    These opportunities enhance my brand’s visibility and recognition, as AI models crave high-quality data. Video becomes a crucial asset for my brand in this evolving landscape.

    Here’s why video is becoming the AI’s truth source and how I can leverage it to defend my brand’s identity.

    Brand drift in AI occurs when an AI doesn’t have specific data about my brand, leading it to piece together my brand’s story from generalized information.

    This interpolation risks creating misleading brand narratives. Imagine a situation where an AI inaccurately describes my SaaS company’s product features because it lacks precise data.

    Streamer.bot faced a similar issue, with AI-generated instructions that were confidently incorrect, creating unnecessary confusion and workload. 

    Even local businesses are affected. A restaurant owner reported repeated inaccuracies shared by Google AI about their menu in an article.

    Providing a canonical truth source, like video, prevents AI from distorting my brand’s message.

    Authoritative videos carry significant semantic value, offering detailed transcripts and visual proof that establish a solid truth source, helping avoid misinformation from any other platforms.

    Videos pack high data with nuance, offering multiple layers of communication through visuals, sound, and text.

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    Studios such as Berlin-based Impolite produce high-quality videos to help brands retain their identity, preventing brand drift by offering rich data sources for AI.

    For instance, Karman’s “The Space That Makes Us Human” project showcases expert-led video that serves as an authentic truth source for brands.

    Authenticity now acts as a crucial technical signal. Verification ensures that AI models can trust the provenance of a video.

    Real-world footage is the ultimate high-trust data source. AI-generated videos typically lack the real-world’s dynamic intricacies.

    Organizations like the Coalition for Content Provenance and Authenticity (C2PA) and the Content Authenticity Initiative (CAI) enhance digital content transparency.

    These entities allow brands to digitally sign videos, establishing a trustworthy indicator for AI models versus unsigned content.

    Similarly, I can understand more about media verification, establishing an unbroken chain of evidence from creation to consumption.

    On LinkedIn, a “CR” mark on media indicates its origin and editing history, boosting content authority and authenticity.

    Google’s integration of C2PA signals ensures AI-related policies are reflected in search and ads, maintaining accurate representation and disclosure.

    In content marketing, adopting C2PA helps me safeguard against misinformation, acting as a quality assurance measure.

    ```json
{
  "alt": "Infographic illustrating the process of repurposing a core video into various content types through text, audio, visual, and discovery streams.",
  "caption": "Discover the power of a content repurposing engine that transforms a single core video into multiple assets across text, audio, visual, and discovery streams, enhancing your reach and engagement.",
  "description": "This infographic outlines a content repurposing engine that converts a core video into diverse assets. It showcases four streams: text (for transcripts, blog posts, social captions), audio (for podcasts), visual (for social images, infographics), and discovery (for short clips on platforms like TikTok and YouTube). The central image depicts a suited person as a subject matter expert in a video. Keywords: content repurposing, video marketing, digital assets, multimedia strategy."
}
```

    If necessary, I can utilize Sony’s camera authenticity solutions to embed real-time digital signatures in media, proving it’s genuine and trustworthy.

    C2PA-compliant editing tools allow me to create a manifest detailing all edits and tools used, preserving the content’s integrity.

    A cryptographic seal verifies the content’s integrity, alerting AI to broken data chains, ensuring only accurate information is spotlighted.

    Given the content overload today, traditional verification methods struggle, but verified subject matter experts (SMEs) stand out as credible sources online.

    By pairing expert insights with video evidence, brands provide AI with authentic, non-replicable authority that audiences trust.

    Incorporating video as central content captures nuanced details, giving birth to high-quality content across various media platforms.

    Repurposing video into text, images, audio, and social media content builds an authority loop, increasing the probability of data retrieval by AI models.

    I should predict where AI might misrepresent my brand and utilize verified expert voices and video documentation to address potential misinformation.

    It remains vital for me to focus on context over mere compliance in brand building through high-fidelity, cryptographically signed video, safeguarding identity and authenticity.

    The mandate is simple: Record reality. Ensuring I provide a verifiable video record prevents AI from creating false narratives about my brand.


    Inspired by this post on Search Engine Land.


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  • Streamline Your Google Ads: Account-Level Exclusions Unveiled

    Streamline Your Google Ads: Account-Level Exclusions Unveiled

    Recently, I discovered an exciting update from Google Ads that could really simplify how I manage my campaigns. They’ve introduced account-level placement exclusions, making it possible to block unwanted inventory from a single, centralized location.

    What’s new? Now, I can apply one exclusion list at the account level. This efficiency extends across Performance Max, Demand Gen, YouTube, and Display campaigns. Before this, blocking had to be done at each ad group or campaign level separately.

    How does it work? Once I’ve excluded certain placements at the account level, Google Ads ensures that spending is prevented on those websites, apps, or YouTube placements across all eligible campaigns.

    Why is this important? Previously, placement control was a fragmented and tedious process prone to errors, especially for large accounts. With this update, brand safety is now more straightforward and efficient on a larger scale.

    The big picture. As Google shifts towards more automation-heavy formats like Performance Max, this change answers the demand from advertisers for stronger, more streamlined control measures without disrupting automation advantages.

    ```json
{
  "alt": "Google Ads interface showing ad exclusion options.",
  "caption": "Navigating Google Ads: Learn how to manage ad placements with options to exclude from group, campaign, or account.",
  "description": "The image displays a Google Ads interface focusing on the 'When and where ads showed' report. It highlights options for excluding ads from different levels, such as ad group, campaign, or account. The menu is shown in the context of a list featuring YouTube.com as a placement. The screenshot is a tool for advertisers to optimize ad visibility and manage where their ads appear. Keywords: Google Ads, ad management, exclude options, YouTube placement."
}
```

    Between the lines. This update allows me to:

    • Reduce exposure to low-quality or irrelevant inventory
    • Enforce brand-safety standards consistently
    • Save time managing exclusions across complex accounts

    What to watch. I need to review and carefully consolidate existing exclusion lists, as applying a single account-level block too broadly might unintentionally limit my reach.

    First seen. This savvy update was first highlighted by Google Ads Campaigns Specialist Aleksejus Podpruginas on LinkedIn.

    Bottom line. Google’s updates make controlling ad placements easier, tweaking the interface just enough to significantly enhance efficiency and maintain brand safety.


    Inspired by this post on Search Engine Land.


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  • Uncovering Hidden Google Ads Settings That Could Alter Your Branding

    Uncovering Hidden Google Ads Settings That Could Alter Your Branding

    When Google Ads automation hurts more than it helps and how to catch it

    I recently stumbled upon a not-so-obvious setting in Google Ads that might allow Google to insert unapproved images into location-based ads. This could be a headache for maintaining consistent brand visuals.

    Here’s what’s happening: In the Shared Library under the Location Manager, there’s a setting called “Google Owned Location Data.” If active, Google can use imagery from its database, adding them to ads linked to your business locations without your direct approval.

    Why it matters: While Google might promote this feature as a means to enhance performance, it risks introducing unwanted creative elements that haven’t been vetted—posing a challenge for advertisers who prioritize strict brand standards.

    The broader context: Google Ads is increasingly automating creative aspects, extending its control beyond bid and targeting strategies. This change moves decision-making about visuals significantly into Google’s hands, particularly for those utilizing location extensions.

    ```json
{
  "alt": "Google Ads Location manager settings interface showing options for Google-owned location imagery.",
  "caption": "Explore the Google Ads Location Manager to optimize your campaigns with high-quality location imagery and merchant photos.",
  "description": "This image displays the Google Ads Location Manager settings interface, highlighting options for using Google Business Profile merchant photos and Google-owned location imagery. It shows checkboxes allowing users to give permission for utilizing these photos in ad campaigns. The interface includes tabs for business locations, location groups, and settings. This feature can help advertisers enhance campaign performance by incorporating professionally curated media."
}
```

    Implications: For brands with stringent creative rules, industries subject to regulation, or franchise operations, such settings can lead to mismatches or compliance issues, often without any warning.

    Action steps: If you’re concerned about maintaining creative oversight, I recommend auditing the settings in the Location Manager within the Shared Library to see if “Google Owned Location Data” is enabled.

    Discovery: Paid Media Analyst Conor Crummey first noticed this update and shared his findings on LinkedIn.

    In summary: This is a subtle yet significant update from Google Ads for those who value controlling their creative output. Take the time to check your settings before unapproved content makes an unwelcome appearance in your ad campaigns.


    Inspired by this post on Search Engine Land.


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  • Mastering Google Ads in Niche Markets: Strategies for 2026

    Mastering Google Ads in Niche Markets: Strategies for 2026

    Operating in niche markets with Google Ads presents unique challenges, and it’s something I’m navigating in 2026. While the search volume might be low, the potential for opportunity is significant.

    I’ve noticed that in targeted markets, people might only search a handful of times each month for my solutions. It’s a stark contrast to other advertisers who can test a plethora of headline variations with ease.

    Many niche advertisers mistakenly apply high-volume strategies to their ads. In my experience, without sufficient data, Google’s automation struggles, which can dampen or entirely stall results.

    Through this guide, I’ve found out what actually works when dealing with low search volumes and extended conversion timelines.

    Why Low-Volume Markets Challenge Google Ads

    There are a couple of scenarios I’ve encountered:

    • I own my brand space: My distinctive brand ensures that when people search for my company, I appear prominently with unique industry terms.
    • I get washed out: Sometimes, my keywords compete with those of larger brands, making it tough to stand out. Here, I battle consistent keyword pollution.

    Each situation requires a distinct approach to effectively manage my advertising strategies.

    Smart Bidding strategies, like Target ROAS, require substantial conversions that niche environments often don’t produce solely from search traffic.

    If my campaigns do hit those numbers, it’s usually due to a budget burn collecting low-quality data. It’s unsustainable for many, including myself.

    However, I’ve found that automation remains viable by feeding Google the right signals differently.

    Dig deeper: Understanding Google Ads Automation: Benefits and Drawbacks

    Signal Stacking When Search Volume is Limited

    Google’s AI has shown me that signal collection is pivotal. It learns from every conversion signal beyond just keywords.

    In my campaigns, I’ve prioritized building signals from various sources to enhance learning.

    Start with Offline Conversion Tracking

    I’ve learned that capturing offline interactions, such as phone calls and CRM entries, enriches my conversion data significantly.

    Using Google’s Data Manager API, I synchronize my sales data back to my Google Ads, amplifying the effectiveness of Smart Bidding.

    Upload Customer Match Lists

    Even a small list of quality email addresses allows Google to recognize patterns, helping me target similar audiences effectively.

    A carefully crafted list of high-value customers can outshine a larger list of less engaged subscribers.

    Use Audience Signals Strategically

    By layering audience signals in Performance Max, I’ve been able to better educate Google about my ideal customer.

    Tailoring custom segments based on recent searches has been key, aligning with detailed insights shared by experts like Jyll Saskin Gales.

    If I dominate my brand space, my focus is on signal quality over quantity. For competitive titles, using negatives is vital.

    Negative audience signals are crucial in targeting only the most relevant consumers, sidelining those that competitors might attract.

    Dig deeper: 5 Google Ads Strategies to Leave Behind in 2026

    Structuring Campaigns for Small Markets

    Relying solely on Search campaigns has proven ineffective for me, especially as Google’s AI Overviews account for a significant percentage of queries.

    Start with Search, then Move to Performance Max

    Performance Max requires solid conversion data, focusing on qualified leads or paying customers to truly optimize results.

    Audience signals guide me in allocating budgets wisely, ensuring I’m not wasting resources.

    Performance Max has served me well once I’ve accumulated sufficient data. However, dealing with keyword pollution requires aggressive negative tactics.

    ```json
{
  "alt": "Bar chart comparing conversions and cost per conversion for Exact, Broad, and Phrase.",
  "caption": "Analyzing keyword match types: A bar chart illustrates the performance of Exact, Broad, and Phrase in terms of conversions and cost-efficiency.",
  "description": "This bar chart displays the performance of three keyword match types: Exact, Broad, and Phrase. The data is represented in two colors: blue for conversions and orange for cost per conversion. Exact keywords show the highest conversions, while Phrase keywords indicate a higher cost per conversion. This visual aids in comparing the effectiveness of different keyword strategies in digital marketing."
}
```

    Use Demand Gen for Awareness

    Introducing Demand Gen has allowed me to reach users across YouTube and Gmail before they actively engage in search for my offerings.

    This strategy builds awareness, paving the way for future branded searches.

    Protect Your Brand Terms

    While organic rankings are important, I maintain a dedicated budget to safeguard my brand’s terms, especially when keywords overlap with the competition.

    Even during slower periods, maintaining control over brand terms remains a priority.

    Dig deeper: Harnessing Demand Gen Campaigns: When and Best Practices


    Keyword Strategy and Match Types

    Based on my data from a niche B2B SaaS client, exact match keywords consistently deliver leads at a lower cost, showcasing the benefits of targeted campaigns.

    Adopting a broad match approach without sufficient data may lead to unnecessary spending on low-converting searches.

    After solidifying my match strategies, I start tight and carefully expand:

    • Initiate with exact match keywords on strong intent terms.
    • Incorporate phrase matches for variation while being wary of broad match until robust data guides me.
    • Broaden match scope after accumulating 30+ conversions.

    Critical Search Term Mining

    With niche volumes, Google may not always show which search terms directed traffic, but when available, these insights are invaluable for market comprehension.

    Mining Google Ads search terms

    The terms that do surface offer significant insights:

    • Valid searches leading to clicks but not conversions (adjust bids or landing pages).
    • Wasteful, irrelevant searches depleting budget (add instantly as negatives).
    • Incorporating new keyword variations identified.
    • Handling early funnel searches strategically.

    In scenarios where brand terms are unique, I find broad match approaches more forgiving.

    Conversely, with competitive keywords, a robust list of negative keywords is imperative before considering broader matches.

    Dig deeper: Optimizing Google Ads: 5 Tips for Search Terms Reports

    Crafting Ad Copy for Niche Audiences

    Considering the limited traffic in niche markets, precise ad copy is critical to conversion success.

    Speak Your Market’s Language

    When dealing with specialized jargon, using precise language ensures proper targeting to avoid attracting uninterested clicks.

    Feature Core Differentiators Early

    By highlighting essential differentiators in the first headline, I’ve ensured my ads communicate their unique positions effectively.

    Although pinning headlines might increase CPCs, the precision outweighs these costs in niche markets.

    Test Dynamic Keyword Insertion Strategically

    While DKI can automate relevance in high-volume scenarios, it’s essential to test its impact cautiously within niche keywords.

    Dig deeper: Creating Effective Google Ads Copy

    Full Utilization of Headline and Description Slots

    With limited ad runs, maximizing headline and description slots provides ample opportunity for optimization and engagement.

    Targeted Landing Page Design

    Landing pages I design don’t just capture leads; they guide prospects through seamless self-qualification, emphasizing detailed specs or clear differentiation as necessary.

    My pages prioritize standing out, expecting that visitors have explored competitor offerings.

    Optimizing PPC Landing Page Experience

    Tracking Conversions in Extended Sales Cycles

    Standard 30-day attribution doesn’t cut it when dealing with niche markets, where decision cycles may span months.

    ```json
{
  "alt": "Google Ads report showing search terms data with a tooltip explaining hidden search terms.",
  "caption": "Peek behind the Google Ads curtain: see how much data remains hidden in search term reports due to lack of significant search volume.",
  "description": "This image displays a section of a Google Ads report focused on search terms, with metrics like clicks and costs. A tooltip is revealed, explaining that some search terms are not detailed in the report due to insufficient search volume. Key indicators in the table include clicks, cost, and CTR, providing insights into ad performance. Keywords: Google Ads, search terms, report, tooltip, digital marketing."
}
```

    I’ve extended my conversion windows for true reflection of my actual sales cycle, ensuring accurate attribution and strategy alignment.

    Differentiating conversion actions by their place in the funnel allows optimized bidding strategies focusing on true business metrics.

    Through offline conversion imports, I maintain indefinite attribution, enhancing synergy between marketing efforts and real business outcomes.

    Data-driven attribution lets me see broader campaign contributions, like Demand Gen, even when they lack last-click credit.

    Budgeting for Success with Limited Spend

    Working within budgets of $2,000 to $10,000 a month highlights the importance of strategic spend allocation in niche markets.

    Protecting brand terms, even with minimal branded budgets, is key if existing brand awareness is present.

    If brand awareness is lacking, demand gen efforts potentially offer better returns through top-of-funnel initiatives.

    Focusing budget on high-intent campaigns, complemented by Performance Max with targeted audience signals, remains my primary strategy.

    For niche markets, instead of increasing budgets at signs of limitation, I aim to enhance quality scores and target high-performance geographies.

    Analyzing areas with heightened demand, I adapt my strategies, reallocating funds to regions that yield the best results.

    Dig deeper: Understanding Google Ads Spending Dynamics

    Strategic Competitive Analysis

    Personal relationships with key competitors in niche markets enable unique strategic opportunities.

    By using Auction Insights reports, I tailor strategies when competing strategically on impression share and geography.

    Avoiding direct competitor bidding saves costs, allowing me instead to target gaps left unguarded by competitors.

    Monitoring competitor shifts in marketing approach aids my proactive adjusting of strategies.

    The Winning Formula in Niche Marketing

    If You Own Your Brand Space

    With established brand spacing, I can be more aggressive with broad matches, driving focus towards problem-based searches.

    Demand Gen campaigns help cultivate market awareness, ensuring my detailed landing pages capture quality engagement immediately.

    If You’re Battling Keyword Pollution

    In scenarios with dense keyword competition, maintaining exact matches up to 50 conversions is vital for efficiency.

    Crafting extensive negative keyword lists reduces inefficiency, aligning campaigns with high-quality audience interactions.

    Precision in demand gen campaigns is necessary, targeting custom market segments instead of industry-wide interests.

    Immediate differentiation is crucial on landing pages, so prospects understand value quicker than with competing alternatives.

    Strategies for Niche Advertising Success in 2026

    In 2026, small budget advertisers win not by spending, but by leveraging quality signals, focusing on visibility and precision.

    • My focus remains on signal quality surpassing search volume expectations.
    • Visibility across multiple platforms ensures stronger engagement than singular strategies.
    • Precise audience targeting outweighs the advantages of simply broader reach.

    Feeding Google automation with strategic, tailored data is essential to unlocking potential in niche advertising.

    The key to success in niche markets is knowing which automation to implement at the right time, the patience to accumulate sufficient data, and the foresight to disregard outdated strategies.


    Inspired by this post on Search Engine Land.


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