Month: April 2026

  • Unlocking GEO Potential: Beyond Technical SEO

    Unlocking GEO Potential: Beyond Technical SEO

    I’ve noticed a common misconception that GEO is merely a technical issue. However, upon scrolling through LinkedIn or X for just a short while, you’ll quickly stumble upon the latest viral GEO hack.

    For example, advice like creating an AI info page so that LLMs can effortlessly grasp your brand, or generating markdown versions of your content to boost AI visibility, frequently surfaces.

    There’s also the idea of commissioning an automated Claude audit to scrutinize your robots.txt file and produce an llms.txt file for you.

    Yet, the truth is, these tactics often have a marginal impact because they fail to address the way LLMs determine which brands to endorse.

    The performance of GEO is influenced more by the consistent positioning, categorization, and validation of your brand across the web, rather than by minor technical modifications.

    ```json
{
  "alt": "Google search results for geo tactics highlighting on-site and technical tactics for LLM visibility",
  "caption": "Enhance your website's visibility with on-site and technical SEO tactics for AI crawlers, focusing on clarity and content freshness.",
  "description": "Screenshot showing Google search for 'geo tactics for LLM visibility.' The results emphasize on-site and technical tactics such as using JSON-LD structured data, optimizing readability for an 8th-10th grade level, keeping content updated, and removing indexing barriers. Featured tools include Hemingway and Grammarly for readability enhancement. The content suggests updating 10-15% of content regularly and ensuring JavaScript-heavy sites are crawler-friendly."
}
```

    If we’re honest about it, GEO performance is chiefly driven by brand positioning and consensus. Thus, it’s not surprising when many well-publicized strategies don’t deliver the expected results.

    When searching for GEO tactics aimed at LLM visibility, the internet serves up the same recycled ideas.

    Unfortunately, while the suggestions aren’t necessarily wrong, they are mostly elementary. Many people misunderstand and even exaggerate them. For instance, Google’s recommendation to use FAQs with schema has led to companies overloading their content with irrelevant FAQ sections, thinking it will enhance GEO.

    As a result, they end up including pointless questions that don’t benefit the end users. This isn’t just an inefficient tactic, but it can also detract from user experience, as evidenced by misaligned FAQ sections.

    ```json
{
  "alt": "Screenshot of a FAQ section about asset management and maintenance.",
  "caption": "Discover answers to common questions about asset operations, enterprise management, and maintenance strategies in our comprehensive FAQ section.",
  "description": "This image is a screenshot of an FAQ section on a webpage focused on asset management and maintenance. The contents on the left include topics like choosing the best maintenance software and elevating maintenance strategies. The FAQ section on the right addresses questions such as 'What is asset operations management?' and 'What is CMMS software?' with clickable options to expand for more information. This provides a structured way to access essential information for improving maintenance efficiency. Keywords include asset management, preventive maintenance, and CMMS software."
}
```

    Another commonly over-hyped method involves placing ‘key takeaways’ at the start of each article. Although it may aid human readability, there’s no substantial proof that it significantly boosts AI visibility.

    Furthermore, some strive to over-format pages for LLM readability by forcing content into constrained Q&A formats or infusing bullet points where they don’t belong.

    People often believe that LLMs require extensive formatting assistance to retrieve content, resorting to copywriting tricks like ‘chunking,’ which can over-complicate editorial processes.

    Then there are those who chase Reddit for GEO, leading to a proliferation of spamming for citations, despite clear warnings from experts like Eli Schwartz against such practices. This misperception highlights that GEO isn’t merely a technical issue.

    ```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."
}
```

    Reddit’s strength lies in its authentic user voices, a reason why moderators actively target inefficiencies such as astroturfing or ‘SEO shaping’ where software evaluations occur.

    GEO is inherently a problem connected to brand positioning and category alignment rather than just technical SEO.

    GEO requires strategic efforts from the executive level for the best results. While technical enhancements are a necessity, the greater gains come from harmonizing brand alignment, messaging, and reputation management.

    This means GEO isn’t solely the responsibility of the SEO team but also a collaborative effort involving branding, PR, partnerships, and customer marketing.

    ```json
{
  "alt": "Google search results for best AI SDR agents with highlighted text and link to Coldreach.ai.",
  "caption": "Exploring the top AI SDR agents for 2026, Google highlights key players like 11x.ai and Artisan while linking to Coldreach.ai's insights.",
  "description": "This image shows Google search results for 'best AI SDR agents' featuring a highlighted overview of leading AI tools like 11x.ai, Artisan, and AiSDR. The Coldreach.ai website is prominently linked, offering a blog titled 'We Tried 10 AI Sales Agents/AI SDRs for B2B Outreach' with a publication date of March 3, 2026. The image captures efforts to rank and evaluate AI tools for enterprise outreach, emphasizing autonomous and budget-friendly campaigns."
}
```

    As Ross Hudgens recently pointed out, inconsistency between sources can hinder LLMs from creating a unified narrative about a brand.

    Category alignment is another critical aspect. Even with high web rankings and URL citations, a recommendation may still elude brands unless their alignment within a category is optimal.

    The AI landscape acts as a ‘normalizer,’ diminishing the prowess of past SEO tactics that focused purely on rankings and clicks.

    Tellingly, listicles can neither brute force brands into AI recommendations nor substitute genuine industry recognition. Citations alone are not enough if accompanied by no recommendation.

    ```json
{
  "alt": "Google search results on best insider threat management showing a list of solution providers and features.",
  "caption": "Explore the top insider threat management solutions for 2026, featuring leading platforms like Teramind and DTEX Systems.",
  "description": "The image displays a Google search results page for 'best insider threat management,' highlighting top management solutions for 2026. Featured providers include Teramind, DTEX Systems, Code42 Incydr, and Proofpoint ITM, known for using UEBA and DLP to detect malicious activities. The search results on the right offer detailed insights into various platforms, their features, and key benefits. Keywords: insider threat management, cybersecurity solutions, UEBA, DLP."
}
```

    Therefore, reporting on ‘citations’ merely as a success metric is misleading without corresponding brand recommendation. The AI overview is more likely to suggest brands that justly deserve the spotlight.

    Indeed, many brands remain unaware of how they’re represented across LLMs. Understanding how LLMs compile data about your brand amenities can ultimately influence your GEO approach.

    To amplify understanding, engage with bottom-of-funnel prompts, systematically analyze responses and sources, and corroborate your representation with insightful research.

    Recognize that in high-competition categories dominated by third-party recognition, you may be compelled to participate in affiliate programs for visibility.

    ```json
{
  "alt": "Bar chart showing web search position impact on citation rate, with highest at position zero.",
  "caption": "Position matters! A bar chart reveals that top web search positions significantly boost citation rates, with the first result leading by far.",
  "description": "This bar chart illustrates the impact of web search position on citation rates. The data shows a clear decline in citation rate as the search position number increases, with position zero achieving a citation rate of 58.4. The study, sourced from AirOps and Growth Memo, demonstrates the importance of high search rankings for greater citation impact."
}
```

    Technical excellence still underpins successful GEO strategies. However, fundamental elements like XML sitemaps and internal linking merely lay the groundwork, rather than driving GEO itself.

    Focus on brand positioning and category alignment rather than isolated technical SEO audits.

    Consider whether LLMs genuinely recommend your brand and ensure that your messaging reflects the appropriate category and customer perception you wish to cultivate.

    Review third-party influences versus your own content to understand their role in shaping brand visibility. Develop a coherent narrative across various channels to reinforce your market status.

    ```json
{
  "alt": "Dashboard displaying comparisons of employee monitoring software with data on variants, responses, presence, and citations.",
  "caption": "Explore detailed comparisons of employee monitoring software, noting variants, response counts, and visual citation trends for insightful analysis.",
  "description": "This image shows a dashboard that compares various employee monitoring software. It includes categories like Seed Prompt, Data, Presence, and Citations. Each entry displays the number of variants, responses, a percentage indicating presence, and visual graphs in the Citations column. The dashboard provides an analytical overview, helping users evaluate software based on specific metrics."
}
```

    It’s crucial to rethink strategic moves like forcing visibility through listicles and formatting tricks that aren’t yielding recommendation statuses.

    Ensure that your content truly assists buyers in comprehending your unique positioning and distinct advantages.

    Ultimately, GEO goes beyond the technical realm into broader brand ecosystems that shape perceptions and narrative control.

    Stop pursuing quick fixes with GEO hacks. Instead, prioritize building a consistent, clear, and compelling brand story that resonates across platforms.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • How Agile Competitors Outshine with AI Search Visibility

    How Agile Competitors Outshine with AI Search Visibility

    I’ve often faced the challenge of watching enormous digital budgets return less and less, while more nimble competitors seem to pull ahead effortlessly. It’s frustrating knowing the potential is there, yet being unable to act swiftly enough.

    Examining how AI Overviews and responses from tools like ChatGPT and Claude cite sources, I’ve noticed an unsettling trend: smaller, more agile companies are capturing the most valuable, bottom-of-funnel commercial queries.

    This reality is a call to action, challenging the notion that simply having a well-known brand name can protect my market share. Agility is increasingly becoming more important than relying solely on brand heritage.

    To stay relevant, AI models require quick, machine-readable data to form a credible consensus. The bureaucracy I’ve encountered, which I call the “bureaucracy tax,” often hinders established companies like ours from deploying such knowledge quickly.

    Unintentionally, as my business expanded, the structures built for stability began to stifle our agility.

    In my experience, when deployment lags, it’s often marketing teams pointing fingers at legal, risk, or compliance departments. Yet, in sectors where regulation is strict, compliance is a necessity.

    The operational shortcoming isn’t with the legal department but with what we’re providing them. Winning in the AI search space requires that we separate factual data from marketing narratives.

    The truth is, legal teams debate adjectives—not APIs. They take months to scrutinize creative marketing copy. Conversely, they can review static data tables or product specifications in days.

    I recall how a global payments company struggled with this. A proposed 2,000-word marketing article was a compliance nightmare. However, when the same data was presented as a structured table, approval came within 24 hours.

    When a CFO asks Perplexity to “compare enterprise payment gateway fees,” it skips over blocked competitor blogs and cites your factual table as the authoritative source.

    Dig deeper: Why most SEO failures are organizational, not technical

    How Much Does the Bureaucracy Tax Actually Cost?

    From my perspective, the bureaucracy tax is a tangible and damaging effect on profit and loss statements. For a new initiative, the deployment cycle can take up to 180 days from idea to execution, hampering responsiveness to market shifts.

    Imagine being a global shipping company. While awaiting IT staging, your competitors publish a straightforward “Current freight delay and tariff matrix,” seizing AI consensus and lucrative leads before you can react.

    ```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."
}
```

    An analysis of AI citations across platforms revealed that disruptors deploying data within 14 days achieve a significantly higher share of AI voice compared to legacy companies that take much longer. The cost of delay is persistent, demanding both time and financial resources to recapture lost ground.

    Dig deeper: How to build an enterprise SEO strategy that gets buy-in

    The Technical Bypass: The Schema-Locked GEO Template

    I’ve come to understand that the loss in this race is partly due to outdated technology. Many of us are stuck on heavyweight, legacy CMS platforms.

    Generative Engine Optimization (GEO) demands a quick rollout of JSON-LD schema and data tables. If an IT ticket is required merely to update author info, the advantage is lost to faster disruptors.

    The remedy isn’t to circumvent systems insecurely. We must advocate for schema-locked GEO templates. This requires IT to create a non-modifiable template designed specifically for data, ensuring rapid deployment without risking architecture.

    From Compliance to Consideration in Record Time

    Workflows must balance keeping risk officers satisfied while drastically speeding up market delivery. These strategic frameworks are critical to protecting your AI consensus.

    If legal bottlenecks your progress, shift your strategy to use pre-approved, factual tables. If developing resources are scarce, implement a “schema-locked GEO template.” If your analytics indicate stability but pipeline velocity drops, audit your LLM visibility immediately.

    Agility is the New Authority

    It’s clear to me that digital acquisition rules have shifted. Winning isn’t just about budget size anymore; it’s about being the fastest to establish a machine-readable agreement.

    Legacy systems and poorly aligned compliance procedures can’t continue to define our market share. The bureaucracy tax siphons resources needlessly, hurting our bottom line.

    I urge you to audit your deployment processes promptly. Treat GEO as a high-speed data operation, not just a marketing campaign. Remove the barriers, and empower your teams to be the definitive resource consumers and machines turn to.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Google’s New Stance: Personal Info in Spam Reports Unused

    Google’s New Stance: Personal Info in Spam Reports Unused

    Recently, I noticed a significant change in Google’s approach to handling spam reports. They’ve updated their stance on whether they’ll process reports containing personally identifying information, and it feels like a big shift from what was communicated just a week prior.

    On their updated spam report page, Google now clearly states that any spam report containing personally identifying information will not be processed. This revision comes after their previous announcement that such information could be passed on to the site in question.

    Here’s What’s Changed: Google has added a highlighted note on their official spam report page, emphasizing two points:

    (1) Avoid including personally identifying information in your spam reports.

    (2) If you do include such information, your submission won’t be processed.

    Google’s explanation reads:

    “Don’t include any personally identifying information in your submission. To comply with regulations, we must send the submission text to the site owner to help them understand the context of a manual action, if one is issued. Because of this, we won’t process your submission if we determine it contains personally identifying information to protect privacy. Not including such information fully ensures your information is safe and prevents your submission from being discarded.”

    Previously: Just a week ago, as we documented, Google allowed:

    • “If we issue a manual action, we send whatever you write in the submission report verbatim to the site owner to help them understand the context of the manual action.”

    This policy raised many eyebrows across the industry. Concerns were not just about being flagged for identifying competitors or spammers, but there were also legal implications. It seems Google is now aligning with regulations to avoid sharing personally identifying data.

    Why You Should Care: If you’re aiming to submit a spam report to Google, make sure it doesn’t contain any personally identifying information. Should you inadvertently include such information, rest assured that it won’t reach the reported site and the report simply won’t be processed. You can always resubmit your report without these details.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlocking New Revenue Streams: ChatGPT’s Bold Advertising Shift

    Unlocking New Revenue Streams: ChatGPT’s Bold Advertising Shift

    Recently, I’ve noticed that ChatGPT is rolling out ads to users who aren’t logged in. This change could dramatically boost the ad inventory as advertiser interest surges.

    What’s happening. According to early reports, ads are seamlessly appearing within conversations for those not logged in, although OpenAI hasn’t made a formal announcement. Interestingly, these ads fit into the chat responses rather than looking like traditional banners.

    Why we care. For me, the expansion to logged-out users means more inventory, allowing budgets to stretch further and reach audiences with intent. If this trend continues, I believe ChatGPT could become a powerhouse in the performance marketing arena.

    Zoom in. I’ve noticed that advertisers in the pilot phase struggle to spend due to limited inventory, despite lowered financial barriers (from $200,000 to $50,000). Expanding the potential audience seems like a logical step to overcome this hurdle.

    User experience. Personally, I find the ads relatively unobtrusive and well-integrated into conversations, though some minor UX issues persist.

    Between the lines. It’s clear to me that this is an inventory issue, not a demand one. Advertisers are eager, and OpenAI is diligently working to scale up.

    What to watch. I’ll be keeping an eye on whether OpenAI formalizes this rollout and expands further, which will indicate how rapidly ChatGPT can evolve into a competitive ad channel.

    Bottom line. I think opening ads to logged-out users is the key that could convert advertiser interest into substantial spending power for ChatGPT.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Boost YouTube Conversions with Google’s Enhanced Demand Gen Tools

    Boost YouTube Conversions with Google’s Enhanced Demand Gen Tools

    I’ve been following the latest updates from Google, and it’s exciting to see how they’re enhancing Demand Gen tools. These updates are designed to help advertisers like me convert quicker and reach more new customers on platforms like YouTube.

    What’s happening. Google has integrated Demand Gen into their Commerce Media Suite. This means I can now leverage retailers’ first-party catalog and conversion data to connect with high-intent shoppers across YouTube, Discover, and Gmail.

    The introduction of view-through conversion (VTC) optimization is another great addition. It allows my campaigns to focus on conversions that occur after an ad is viewed—speeding up performance significantly.

    Why we care. These updates enhance the effectiveness of Demand Gen by turning views into tangible conversions. By utilizing retailer data and optimizing for view-through activities, I’m able to engage high-intent users, even if they don’t immediately click. This results in faster outcomes and increased customer acquisition.

    Between the lines. Google is now focusing beyond clicks, using richer commerce data and view-based attribution to generate results in more passive, discovery-rich environments like YouTube.

    ```json
{
  "alt": "Digital marketing campaign setup interface showing components like campaign name, goals, and performance metrics.",
  "caption": "Navigate your digital marketing with ease using a comprehensive campaign setup interface. Track goals, performance metrics, and more for optimized results.",
  "description": "This image displays a digital marketing platform's campaign setup interface. It includes sections for inputting campaign name, selecting campaign goals like conversions and clicks, and monitoring performance metrics such as estimated impressions and conversions. The interface is designed for optimizing marketing strategies with clear visualizations and detailed breakdowns. Keywords: digital marketing, campaign setup, performance metrics, marketing strategy."
}
```

    What to watch. I expect more exciting announcements about Demand Gen at upcoming events like Google Marketing Live. As YouTube evolves, it’s becoming a comprehensive performance channel.

    Bottom line. With these updates, Google has transformed Demand Gen into a robust, data-driven machine for converting high-intent audiences—especially on YouTube.

    Dig deeper. Demand Gen Drop – April 2026


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Mastering the Art of Delivering Tough SEO News to Executives

    Mastering the Art of Delivering Tough SEO News to Executives

    I’ve learned that executives don’t crave SEO jargon. What they need is clarity, honesty, and a clear path forward. Here’s how I deliver just that when faced with disappointing results.

    Traditional SEO metrics haven’t been reassuring, and while more studies could affirm this, the existing data already does. Organic traffic is dropping for many of my clients, with studies like Seer Interactive’s showing a 61% drop in CTR for queries with AI Overviews. Executives notice these downward trends on their dashboards, often for extended periods.

    Many consultants I’ve spoken with find themselves unprepared for these tough conversations. Diagnosing the traffic drop is one thing, but sitting across from a CMO and explaining not just what’s happened, but why it happened and what you propose to do about it, requires a whole different skill set. This skill is crucial, yet often overlooked.

    Having spent 13 years in SEO and the last six managing an agency, where I personally lead strategy and present to senior executives, I’ve discovered five key lessons on breaking bad news in what I consider one of the most challenging times to be an SEO consultant.

    1. Executives are more predictable than you think

    A while back, a client expressed concerns after isolating our SEO work from the rest of their site’s organic traffic. Our reported overall numbers looked fine, but the performance of our specific work hadn’t improved over eight months.

    Upon reviewing, I found my team indeed avoided acknowledging the underperformance, opting instead to present only the numbers that looked good. No one wants to admit failure in a meeting, yet concealing it often proves more damaging.

    The client eventually finds out, and it’s not the underperformance that breaches trust, but the omission. Revealing issues early allows us to address what executives value most: problem-solving capability, diagnosis, and a strategic plan for recovery.

    This experience transformed our client engagement approach. We now rigorously separate and analyze our work’s performance, ensuring any underperformance is flagged early along with a proposed solution. Every executive I’ve met has been burned by vendors hiding results; they value the rare consultant who promptly addresses and plans for solutions.

    2. Diagnose before you communicate

    A prospect once approached me about a traffic decline, assuming AI Overviews were to blame. Instead of presuming, I thoroughly diagnosed the issue. My investigation revealed a PR-induced traffic spike had skewed the comparison, and once adjusted, current performance was actually solid growth.

    This diagnosis turned the discussion from a crisis into a positive affirmation of growth—within minutes. Conversely, I’ve also encountered genuine issues. For example, technical errors causing crawl waste impacted a client’s performance. Recognizing the pattern from past experience, I proposed a tried-and-tested solution.

    Executives don’t need to understand every technical detail; they need assurance of a diagnosed problem and a plan. Confidence stems from the quality of diagnosis and the specificity of the corrective plan, not the delivery itself.

    ```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."
}
```

    3. Surprise bad news and failed experiments are different conversations

    Surprises

    The worst kind of bad news, surprises arise from work done without strategic anchoring. Without a defined plan, diagnosing a traffic dip becomes impossible, as no hypotheses were being tested—only tasks executed.

    Failed experiments

    In contrast, a failed experiment implies a deliberate strategy and defined expectations. While outcomes may disappoint, assessing performance and proposing informed next steps provides clarity and direction.

    Organizing work into structured cycles with specific bets and outcomes avoids surprise dips, fostering a culture of planned experiments. Clients are then prepared for any result, seeing it as a learning opportunity rather than an unexpected issue.

    4. Never arrive without a recommendation

    When clients ask, “What’s next?” after receiving bad news, an immediate, concrete recommendation is crucial. Lack of one heightens the perceived severity of issues. A seamless answer shows preparedness and instills confidence.

    I ensure thorough diagnostic and recommend two realistic paths, helping clients choose solutions rather than dwell on problems. This proactive approach shifts focus to resolution rather than dissatisfaction with setbacks.

    5. The tough conversation builds the relationship

    Strong client relationships often stem from overcoming difficulties, demonstrating capability under pressure. Being upfront and strategic when challenges arise consolidates trust more than perpetual smooth sailing.

    Clients appreciate honest, smart communication over avoiding tough topics. I’ve found that taking ownership of mistakes, providing diagnoses, and recommending solutions earns more respect and confidence.

    The conversation is part of the work

    As SEO becomes more challenging and results fluctuate, my conversations with clients have grown in importance. Providing clear diagnoses, backed by actionable plans, ensures we manage setbacks effectively.

    Clients now assess not just outcomes, but how I handle them, emphasizing the role of strategic, honest communication as an indispensable element of effective SEO consultancy.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Google’s AI Search Evolution: Changes in Queries and Content

    Google’s AI Search Evolution: Changes in Queries and Content

    AI search convergence

    As someone deeply interested in how technology shapes our interactions, I found Google’s new AI developments in search particularly fascinating. Google’s VP of Search, Liz Reid, recently delved into how AI is transforming search intent, monetization, and content visibility. In a new Bloomberg podcast, she explained how these changes are reshaping our search behavior.

    Reid assured us that AI is not diminishing Search but altering its usage. AI Overviews now help filter low-value clicks while encouraging more frequent searches. Reid highlighted how AI reduces “bounce” clicks, those quick visits to a page for a single fact. It’s an interesting evolution—sometimes we only have seconds to spare, while other times, we aim to immerse ourselves for longer periods.

    People Want AI and the Web Together

    Reid debunked the myth that users desire AI over the web. Instead, she notes, people want AI integrated into their web experience. I see this pattern in my own browsing habits, where I might search for a quick fact one moment and dive deeply into an article the next. She emphasized that people still crave human perspectives and diverse insights.

    AI Overviews: Adapting to User Needs

    Liz Reid explained that AI Overviews aren’t activated for every search. Google’s strategy is user-centric, providing AI support only when it’s beneficial. This selective approach ensures we get the best possible answer for our queries. The system evolves as user behaviors change, and Google continually refines which queries deserve an AI Overview.

    Changing Search Habits

    It’s intriguing to note the shift in how we query Google. Searches have become longer and more conversational, moving away from terse keywords. In my own searching, I now use full sentences to express my needs, which aligns with Reid’s insights. She reiterated that users now articulate their problems more clearly, allowing Google to provide comprehensive responses.

    Ads and AI: A New Dynamic

    Even with AI-enhanced answers, Google can still generate revenue from Search, assuring us that the commercialization of queries largely remains unaffected. When I’m on the hunt for products, such as buying shoes, I still rely on ads to guide my purchasing decisions. Reid also highlighted that detailed queries offer potential for more targeted ads.

    Monitoring User Retention

    Reid highlighted that a key metric for Google is whether users return to Search more frequently. This is more than just increased search volume; it’s about building a loyal user base that turns to Google consistently because it meets their needs effectively.

    AI Slop: Addressing Content Quality

    Interestingly, AI hasn’t introduced new content quality issues but rather increased its volume. Reid assured us that Google’s aim is to spotlight quality content while minimizing the visibility of “slop.” It’s a challenge, but one that Google is committed to tackling by continually enhancing its ranking systems.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Master Google Ads: Boost High-Value Customer Acquisition & Retention

    Master Google Ads: Boost High-Value Customer Acquisition & Retention

    I recently dove into Google Ads to explore their new customer acquisition goals. With fresh capabilities like high-value customer bidding and retention targeting, I was curious about how they could boost my marketing efforts.

    Many strategies still assume new customers are the most valuable, but this breaks down rapidly. Not every new customer is worthwhile, and ignoring existing ones can be a mistake. The crux is Google’s high-value customer and retention bidding goals.

    Google uses predictive bidding to pinpoint high-value customers, but the key is the customer match list I upload. To tweak settings, I venture into the customer lifecycle optimization section under Goals > Summary and select Edit Goal.

    ```json
{
  "alt": "Google Ads interface for setting new high value customer conversion.",
  "caption": "Optimize your ad campaigns by setting incremental conversion values for high-value new customers using Google Ads.",
  "description": "Screenshot of Google Ads interface for setting up high-value customer conversion optimization. It includes a section to add an incremental conversion value of $0.02 for new customers and a tool for adding audience segments with updates available in the Audience manager. The feature supports Performance Max & Search campaigns, requiring segments with at least 1,000 active members."
}
```
    Google Ads new customers (high value)

    Here, I set a higher new customer value to bid aggressively for high-value clients. Google usually suggests a value based on higher LTV, but I ensure it aligns with my strategy before making adjustments.

    Once adjusted, Google’s reports reflect the added conversion value alongside the actual sale or lead value. If using cost-per-conversion models, the discrepancy is less impactful. However, it can skew ROAS in a ROAS-based model. Luckily, Google introduced a column to separate true and additional values for clarity.

    ```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."
}
```

    Dig deeper: Google Ads quietly rolls out a new conversion metric

    Building high-value customer audiences means adding an audience list of high-value customers. I think about what makes my customers valuable, whether due to high order values or interest in premium services.

    ```json
{
  "alt": "Settings page for adjusting bidding to acquire new customers with options and conversion values for customer types.",
  "caption": "Optimize your bidding strategy by focusing on acquiring new customers and see how conversion values vary for different types.",
  "description": "The image displays a settings interface for adjusting online advertising bid strategies to acquire new customers. It includes options to bid higher for new customers or only bid for new customers, with a section to calculate values using account settings. On the right, there's a comparison of conversion values for existing and new customers, showing how a purchase value of $240.39 differs slightly for each type. Useful for digital marketers aiming to optimize customer acquisition through targeted bidding strategies."
}
```

    Once I compile and upload the list, I need at least 1,000 active members on YouTube or Search networks to serve effectively. Including additional data like phone numbers and addresses improves my match rates.

    If I want a streamlined approach, tools like Klaviyo can integrate audiences directly into my Google Ads account, often yielding high match rates.

    ```json
{
  "alt": "Google Ads setting for lapsed customer retention in Performance Max campaigns.",
  "caption": "Boost your campaign effectiveness by focusing on lapsed customer retention using Google Ads' Performance Max settings.",
  "description": "This image shows a Google Ads interface for setting up customer retention targeting lapsed customers, available only in Performance Max campaigns. It includes options to add an incremental conversion value for lapsed customers with a suggested value of $489.10. Additionally, it suggests adding audience segments with over 1,000 active members to identify both lapsed and existing customers via the Audience Manager."
}
```

    With everything set in the customer lifecycle optimization section, it’s time to optimize my campaigns. I can’t apply both bidding goals to the same campaign, so I tailor my targeting and ad copy to different customer types.

    For campaigns focusing on high-value new customers, I expand the Customer Acquisition segment and choose a bidding option to target specifically new customers.

    ```json
{
  "alt": "Interface for managing lapsed high-value customer retention in Performance Max campaigns.",
  "caption": "Optimize your customer retention strategies by adding conversion values for lapsed high-value customers and creating audience segments.",
  "description": "This image displays a user interface for lapsed high-value customer management in Performance Max campaigns. It provides options to add an incremental conversion value and create audience segments for current high-value customers. The suggested value for conversion is $978.20. Customer retention is highlighted as a key feature of these campaigns. This tool aids marketers in enhancing customer engagement and retention efficiently."
}
```

    It’s critical that my ad content resonates whether I’m aiming for new clientele or re-engaging past customers.

    Google Ads customer acquisition

    When it comes to re-engaging lapsed customers, I set bidding parameters for retention back under Goals. There, I find lists for lapsed and high-value lapsed customers, if I have the data to support them.

    ```json
{
  "alt": "Customer retention settings with conversion value for lapsed customers highlighted.",
  "caption": "Optimize your bids: Engage lapsed customers effectively with tailored conversion values.",
  "description": "This image shows a customer retention panel within a marketing platform, illustrating settings for adjusting bids to re-engage lapsed customers. Incremental conversion values are listed alongside customer types. A warning box advises including an audience segment for identifying lapsed customers. On the right, a comparison of conversion values for different customer types based on a $648.78 purchase is shown. Keywords: customer retention, conversion value, marketing platform."
}
```
    Setting for customer retention

    Google suggests values or lists, but accuracy is key before saving adjustments. In Performance Max campaigns, lapsed customers may see a variety of ads, making it essential my messaging speaks to them effectively.

    Everything hinges on having reliable inputs like quality customer match lists and performance metrics. Used right, lifecycle bidding can prioritize valuable customers and revive lapsed ones, but careless usage just skews data without driving real results.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlock Early Features with Google’s App Labs for Advertisers

    Unlock Early Features with Google’s App Labs for Advertisers

    I recently discovered that Google is quietly testing something quite intriguing—a new “App Labs” beta in Google Ads. This development is offering app advertisers early access to experimental campaign features before they’re available to everyone.

    What’s new? There’s a new dedicated tab within the App advertising hub. Here, advertisers like me can explore limited-time experiments, provide valuable feedback, and take a sneak peek at tools still in development.

    Google App Labs Interface

    Why do I care? Well, Google providing early access means I get a chance to test, learn, and optimize before competitors catch on. This early adoption could give my advertising efforts a significant performance edge, helping me adapt more quickly as new tools standardize.

    Zoom in. Features in App Labs are essentially short-run tests. They’re not guaranteed to roll out on a permanent basis, but they offer Google real-world feedback while giving me a first-mover advantage.

    ```json
{
  "alt": "App Labs beta interface with sections for experimenting and feedback.",
  "caption": "Explore new innovations with App Labs Beta, a hub for testing and providing feedback on cutting-edge features.",
  "description": "The image displays the App Labs Beta interface, part of the app advertising hub, where users can experiment with new features and offer feedback. The interface includes sections like 'Web to App Connect' and 'Deep link validator,' providing a platform for testing experimental functionalities and innovation in digital platforms. The phrase 'Your Experiment' suggests a focus on trial and creativity within the app."
}
```

    Between the lines. This is essentially a sandbox for app campaigns and signals that Google values advertiser input early in the product cycle.

    What to watch. As an early adopter, I might see performance advantages by testing and adapting to features long before my competitors are even aware of them.

    First seen. I first heard about this update from Google Ads expert Thomas Eccel, who spotted it and shared the news on LinkedIn.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot