Category: News

  • Adobe-Semrush Deal: What SEO Teams Should Do Next

    Adobe-Semrush Deal: What SEO Teams Should Do Next

    If Semrush sits at the center of your search program, Adobe’s move raises an immediate operational question: should you renew, integrate, wait, or start evaluating alternatives?

    Do not make that decision from an acquisition headline. Use the deal to strengthen your measurement, data portability, and contract position now. Treat the promised combination as strategic direction until specific integrations are available, documented, and commercially defined.

    Separate the acquisition agreement from the product reality

    Adobe agreed to acquire Semrush in an all-cash transaction valued at approximately $1.9 billion, with both boards approving the deal. The companies targeted the first half of 2026 for completion, subject to required approvals.

    That target date is not proof that the transaction has closed. Confirm the current status before making a renewal, migration, staffing, or integration decision. A signed acquisition agreement establishes intent; it does not establish the final product roadmap, pricing model, account structure, or migration path.

    AreaWhat is establishedWhat you still need to verify
    TransactionAdobe agreed to acquire Semrush for approximately $1.9 billion in cash, and both boards approved the deal.Current closing status and whether every required approval has been obtained.
    Strategic directionAdobe and Semrush intend to combine customer-experience and content-supply-chain capabilities with SEO, GEO, and brand-visibility capabilities.Which workflows will actually be integrated, in what order, and on what release schedule.
    Product impactThe intended destination is a more unified platform for visibility, engagement, and conversion.Feature availability, supported systems, methodology, account changes, migration requirements, and service continuity.
    Commercial impactNo acquisition price or strategic statement determines what an individual customer will pay.Packaging, renewal terms, price protection, bundles, usage limits, support levels, and API access.

    This distinction prevents two expensive mistakes. The first is buying a future integration that exists only as positioning. The second is dismissing the deal and discovering too late that your reporting, procurement, or data architecture is tied to a changing platform.

    Key takeaways

    • Do not migrate or replatform solely because ownership is changing.
    • Capture a dated baseline of your SEO and GEO data before products, methodologies, or retention policies change.
    • Evaluate promised integrations against shipped capabilities, documentation, contract terms, and reproducible outputs.
    • Keep your content inventory, entity facts, prompt sets, keyword sets, and historical measurements portable.
    • Measure discovery, engagement, and business outcomes separately, even if a future dashboard presents them as one journey.

    The important possibility is a closed visibility-to-content loop

    A circular ribbon connects abstract search signals, audience insights, content creation modules, publishing, and feedback in a continuous loop.

    Adobe brings customer-experience orchestration, an AI-oriented content supply chain, and AI-driven engagement capabilities. Semrush brings search intelligence and brand-visibility capabilities spanning traditional SEO and GEO. The companies’ strategic thesis is that those functions can become an end-to-end marketing system.

    For an SEO or GEO team, the meaningful possibility is not another dashboard. It is a feedback loop in which visibility evidence can directly influence content planning, production, distribution, and revision:

    1. Detect a search question, topic gap, competitor advantage, or weak brand representation.
    2. Prioritize the gap using audience relevance and business value rather than search volume alone.
    3. Create or update a canonical answer, supporting evidence, structured data, and related assets.
    4. Distribute that material through the appropriate web and customer-experience channels.
    5. Measure whether the brand becomes more discoverable, accurately represented, engaged with, and selected.

    That loop is an operating model, not evidence that the products already perform every step together. Integration creates value only when the underlying signals remain understandable. A seamless interface can still produce weak decisions if your team cannot see what was measured, where it was measured, or why a recommendation changed.

    GEO also should not become a vague label for every AI-related activity. In practical terms, it concerns whether AI-driven search and answer experiences can discover, understand, mention, cite, and accurately represent your brand and content. It overlaps with SEO, but it introduces different observation conditions, including prompts, generated answers, citations, mentions, platform behavior, and repeated sampling.

    Keep three measurement layers distinct:

    • Discovery: rankings, visibility, mentions, citations, answer inclusion, and representation of important entities or claims.
    • Engagement: qualified visits, assisted journeys, content use, and other observable actions after discovery.
    • Outcome: leads, revenue, retention, applications, purchases, or another result tied to the organization’s objective.

    A platform may connect those layers, but connection is not causation. Your reporting should show which relationship is directly observed, which is attributed by a model, and which is only a working hypothesis.

    The intended combination is clearly relevant to complex organizations: Adobe identifies companies including Coca-Cola and IBM among the large businesses using its experience capabilities. That enterprise context makes governance, permissions, regional coverage, data retention, and methodological consistency as important as feature breadth.

    Build a 90-day readiness plan without betting on the roadmap

    Three colleagues organize data exports, measurement modules, testing components, contract folders, and portable tools across a staged planning table.

    You do not need inside knowledge of the integration roadmap to prepare well. The useful work is the same whether the combined platform becomes essential, optional, delayed, or unsuitable for your stack.

    1. Create a dated baseline. Record your active projects, tracked markets, devices, languages, locations, competitors, keyword groups, prompt sets, reporting cadence, and attribution settings. A trend line is difficult to interpret when nobody can reconstruct how the measurement was configured.
    2. Preserve the history you would need after a platform change. Export the reports and underlying records your team depends on, including rankings, visibility trends, site-audit findings, competitor sets, content inventories, and GEO observations where available. Store the export date, configuration, and field definitions beside the files. Do this before a contract ends; access after cancellation should never be assumed.
    3. Map decisions, not just integrations. For each recurring report, identify who reads it, what decision it triggers, what action follows, and which system records the outcome. A technically elegant connector has little value if the report does not change a decision.
    4. Document your content and entity layer outside any vendor. Maintain a canonical inventory containing the audience question, target entity or topic, approved facts, evidence owner, canonical URL, schema status, last verification date, and responsible editor. This becomes the stable layer beneath changing tools.
    5. Create a vendor-neutral evaluation scorecard. Include geographic and language coverage, SEO depth, GEO methodology, reproducibility, explainability, export options, API access, permissions, integration effort, security review, support, and total contract cost. Weight the criteria before a product demonstration so a polished new feature does not redefine the decision.
    6. Run a fixed measurement sample. Choose a stable set of commercially and reputationally important queries and prompts. Record the platform, market, language, date, result, citation or mention status, linked destination, and whether the brand was represented accurately. Repeat on a defined cadence. The purpose is not to eliminate variability; it is to make your observations comparable.
    7. Set event-based review points. Reassess when the transaction’s current status is formally confirmed, when concrete product integrations are released, when packaging is announced, and before your next renewal deadline. Ownership news alone is not a reason for an emergency migration.

    The baseline and exports protect you from data loss. The scorecard protects you from buying on narrative. The fixed sample protects you from mistaking a changing measurement method for a real improvement in visibility.

    Put specific questions into renewal and procurement reviews

    If your renewal or platform review arrives before the integration picture is clear, do not ask whether Adobe and Semrush will create an end-to-end solution. That phrasing invites an aspirational answer. Ask questions that force a distinction between current capability, committed development, and general direction.

    Product and workflow questions

    • Which integrations are generally available now, and which remain on the roadmap?
    • What exact data passes between products, in which direction, and how frequently?
    • Will Semrush workflows continue to support non-Adobe content-management, analytics, and experience systems?
    • Will customers need separate accounts, permissions, identities, or usage entitlements?
    • Which SEO and GEO reports share a methodology, and which remain independent measurements?
    • What changes would require customer migration, reconfiguration, retraining, or implementation services?

    Data and measurement questions

    • Can you export raw observations as well as aggregated scores?
    • What do visibility scores represent, and can your team reproduce the calculation from documented inputs?
    • How are market, language, location, personalization, prompt wording, citations, mentions, and answer variability handled?
    • Will historical data be preserved if a metric, crawler, data source, or model changes?
    • What retention periods apply, and what can be exported when the contract ends?
    • Is API access included, limited by usage, or sold separately?
    • How may customer data, prompts, content, and performance records be used in AI systems?

    Commercial and continuity questions

    • Will current products remain separately renewable, or is a bundle planned?
    • Which pricing, usage, support, or service-level terms can be committed in the contract?
    • What notice will customers receive before a material product, metric, API, or packaging change?
    • Can you run old and new workflows in parallel long enough to validate continuity?
    • What is the rollback or exit path if an integration disrupts reporting or production?
    • Will new data flows require another security, privacy, compliance, or regional-hosting review?

    Write material answers into the contract, order form, or implementation plan where possible. A roadmap presentation can clarify direction, but it does not protect your access, price, data, or migration timeline.

    Keep your SEO and GEO strategy portable

    The strongest response to platform consolidation is not reflexive resistance. It is portability. Your organization should be able to change measurement or orchestration tools without losing its understanding of customers, entities, content, evidence, or past decisions.

    Keep these assets under your own governance:

    • A canonical inventory of content, topics, entities, authors, evidence, and responsible owners.
    • Your approved brand facts, terminology, claims, and correction procedures.
    • Keyword groups, audience questions, prompt sets, competitor definitions, and market scope.
    • Structured-data specifications and validation records rather than only a vendor’s score.
    • Dated historical exports with configuration notes and metric definitions.
    • A decision log showing why important pages, campaigns, schemas, and measurement rules changed.
    • A mapping from discovery metrics to engagement and business outcomes.

    Portability does not prevent you from benefiting from a deeper Adobe-Semrush integration. It gives you a control group. When a new workflow promises better prioritization or attribution, you can compare it with a stable record instead of accepting the platform’s new baseline as the truth.

    Source diversity deserves the same attention. Semrush acquired Search Engine Land, MarTech, and their parent Third Door Media in October 2024. That ownership does not by itself invalidate a dataset, product, or publication. It does mean your governance map should recognize when software, market intelligence, and industry media sit within the same corporate group. Avoid relying on one group for measurement, interpretation, and independent validation of the result.

    Your next move can be small and concrete: schedule the baseline export, assign an owner to the evaluation scorecard, and add the procurement questions before the next renewal conversation. Watch for confirmed transaction status, shipped integrations, documented methodologies, and binding commercial terms. Act when those details change the decision – not when the strategic promise merely sounds complete.

    References

  • Revolutionize Your Google Ads with Journey Aware Bidding

    Revolutionize Your Google Ads with Journey Aware Bidding

    I’ve recently come across an exciting development from Google that could change the way we approach Google Ads. It’s called Journey Aware Bidding, and it’s designed to optimize Search campaigns by utilizing signals from every step of the customer journey. This aims to provide a smarter and more efficient way of managing campaigns.

    Google has rolled out this new Search bidding model to enhance prediction accuracy and improve campaign performance. The idea is to consider the entire customer journey, not just the final conversion point.

    How it works: Journey Aware Bidding learns not only from your primary conversion goal but also from non-biddable journey stages. If you’re someone who tracks and defines each step of your purchase funnel meticulously, this model could be particularly beneficial.

    Google advises mapping out the entire process—from lead submission to final purchase—and labeling all critical touchpoints as conversions within standard goals. This method promises to integrate more of the conversion funnel into Google’s prediction models, potentially streamlining lengthy, complex journeys such as lead generation.

    Why it matters: As someone who’s worked extensively with fragmented signals in conversion funnels, I’m intrigued by how Journey Aware Bidding could bring greater efficiency to our campaigns. It emphasizes learning from all key touchpoints, leading to smarter bidding strategies.

    What you should know: To get the most out of this feature, align your optimizations to a single KPI-driven stage, such as purchases or qualified leads. While other journey stages should be marked as primary conversions, they should be excluded from campaign-level or account-default bidding optimization.

    ```json
{
  "alt": "Infographic on Journey Aware Bidding for advertisers with key benefits and pilot information.",
  "caption": "Discover Journey Aware Bidding: A strategy that embraces the whole customer journey, promising improved ad performance for informed advertisers.",
  "description": "This infographic presents 'Journey Aware Bidding', a strategic initiative aimed at enhancing ad performance by monitoring the full customer journey. Key benefits include improved prediction accuracy and performance by leveraging conversion goals. The pilot program allows select advertisers to implement these strategies ahead of a wider rollout. Elements include icons of a magnifying glass and shopping bag, signifying search and commerce. Keywords: Journey Aware Bidding, advertisement strategy, customer journey, pilot program."
}
```

    Ensure that all tracking and categorization are accurate to achieve the best results.

    Pilot phase: Google is launching a closed pilot this year for select advertisers, with plans to expand after refining the model. This could be a game-changer in how we approach Search optimization.

    The bottom line: If you’re ready to rethink how you optimize your campaigns, Journey Aware Bidding might be the innovative approach you’ve been waiting for. By understanding not just what converts, but how users get there, we could see significant improvements.

    First seen: Senior Consultant Georgi Zayakov shared insights about this new bidding model on LinkedIn during Think Week 2025, alongside other intriguing products.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlock Holiday Shopping with Google’s New AI Features

    Unlock Holiday Shopping with Google’s New AI Features

    As the holiday season approaches, I’m thrilled to share that Google has rolled out a range of exciting AI-powered shopping features. Just recently, Google announced this major update, perfectly timed for our holiday shopping adventures.

    What’s new with AI Mode? Picture this: you can now describe what you need as if you’re chatting with a friend! Google’s AI Mode organizes all the essentials—images, prices, reviews, and inventory—helping you decide confidently and quickly on your next purchase.

    In my Gemini App experience, it has become my go-to for brainstorming gift ideas. It effortlessly compares products and supplies answers with handy shoppable links, all within a chat.

    Are you too busy to check store stock levels? I now let Google’s agentic calling feature make those calls for me, ensuring I know about any promos or stock availability without lifting a finger.

    And here’s something I absolutely love: tracking prices with agentic AI. Whenever an item I’ve been eyeing drops in price at eligible U.S. merchants, I receive a notification. I can let Google purchase it securely using Google Pay, all within my budget!

    Why does this matter? The bustling holiday season is critical for many businesses. With these innovative AI features, I hope to see more traffic and revenue driving local stores rather than distracting buyers from making purchases.

    I’m curious to see how these tools impact our shopping experiences, and I encourage everyone to explore these features to see where your website ranks.


    Inspired by this post on Search Engine Land.