I’ve noticed a fascinating shift in Google’s Ask Maps function—it’s transitioning from simple listings to offering more personalized recommendations. This change is not just about showcasing local businesses anymore; it’s about truly understanding user needs and suggesting the best options.
The other day, I dug into some local service queries—think plumbers, electricians, HVAC services—and was amazed to find how Ask Maps narrows down options by user intent. It’s evaluating businesses based on factors like responsiveness and specialization, which feels fresh and user-focused.
What’s even more exciting is how Ask Maps frames these businesses. It’s not just a list; there’s guidance involved, which is a leap beyond traditional local retrieval methods. So, I decided to explore this by testing across five levels of local intent, ranging from simple searches to detailed conversational prompts.
As the complexity of queries increased, I saw a clear pattern: Ask Maps shifted from merely listing businesses to interpreting which ones truly fit the ask—and why. This is huge.
This exploration pulled insights from specific locality tests, so while it’s directional, it’s not exhaustive across all markets or queries.
The five-level intent model I developed was based on what I’ve learned about how people search for local services. I structured these not by traditional keyword categories but from simple inquiries to complex, conversational decision-making.
At the basic level, requests start simple, like “I’m looking for an HVAC company nearby.”
Then, I experimented with queries involving more service specifics, like “I need an electrician to upgrade my panel in an older home.” This was fascinating as it introduced nuances into what I look for in search results.
The most interesting insights emerged from situational queries and those involving trust or decision-making, revealing how Ask Maps balances offering a realistic number of options with the depth of interpretation. The shifts were consistent: as we went from simple prompts to narratives, Ask Maps fine-tuned business selection and added layers of explanation.
From this testing, I realized the intricate way Ask Maps processes information—using Google Business Profiles, reviews, and even external sources. While reviews dominated initial impressions, Ask Maps dives deeper on complex queries, pulling from business websites and informative content to guide users through decisions.
Overall, the direction Ask Maps is heading could redefine our local search approach. If it continues evolving, it might influence how visibility is determined—not just by listing presence but by the ability to comprehensively understand and meet the user’s needs.
I want to share an experience that tested my cyber awareness: my Google Ads Manager Account (MCC) fell into hackers’ hands at midnight on January 5. Fortunately, my team wasn’t alone in this ordeal. It’s estimated that hundreds, if not thousands, of similar accounts were hijacked, impacting vast networks of ads.
Reflecting on this unsettling event, I’ve gained valuable insights that I hope will help you safeguard your own MCCs from facing a similar fate.
How Hackers Gained Control of My Account
Despite having two-factor authentication (2FA) in place, the hackers breached my account using an employee’s email. This targeted hack saw them exploiting multiple email accounts before succeeding on their third attempt.
Phishing or password compromises likely granted them initial access. We later discovered that their chosen email had been compromised for months, cleverly bypassing our security by setting up their own 2FA tailored for deceit.
Their takeover was swift, removing all access to our MCC and altering allowed domains to Gmail. They brazenly invited over a dozen people into a newly created MCC under our company name, which thankfully, our clients ignored.
Within just hours, chaos ensued: users were removed, payment methods were altered, and unauthorized campaigns launched. Attempted fraudulent charges reached half a million on some accounts—remarkably without ads running to justify such expenses.
Regaining Control After the Hack
In a stroke of luck, we managed to reclaim our account within eight hours. Financial damage was surprisingly minimal, capped at $100, with unsuccessful credit card charges adding to our recovery timeline.
The journey to restoration relied on clear steps, beginning with contacting Google.
Step 1: Reaching Out to Google
Our first action was reaching out to our trusted Google reps. Their ongoing support proved invaluable, guiding us through the process and maintaining pressure on resolving our cases.
Even if you don’t have a dedicated rep, following the recommended steps still aids in timely resolution.
Step 2: Submitting Necessary Forms
Google directed us to their compromised account resources, prompting us to file multiple Account Takeover Forms for each affected account, including our MCC.
Though initially advised against using this form for MCCs, updated guidance now includes it as a vital step in swift recovery.
Step 3: Client Communication
I urged our clients with remaining access to disconnect from the compromised MCC and connect to secure emails. This immediate action helped us secure accounts and minimize potential damage.
Step 4: Managing Billing Chaos
Disconnecting was pivotal in resetting billing details. By editing the payment manager, we managed to undo the tangled web the hackers spun, simplifying future re-connections.
Step 5: Analyzing Change History
Upon regaining access, analyzing change history at MCC speed was essential. The detailed timestamps allowed us to construct a timeline and rectify ongoing issues.
Implementing Best Practices
A number of best practices helped us not only in recovery but also in preventing future breaches. Let’s dive into some critical strategies.
Ensure Client Access
I believe ethically, clients should always have access to their accounts. Additional admin presence provided a safety net, enabling us to regain control swiftly.
Google also supported us on blocking unauthorized changes, reinforcing the importance of multiple secure admin accounts.
Maintain MCC Integrity
Cleaning up by removing obsolete clients and unused MCCs is now a priority. This preventive measure could have lessened our vulnerability pre-hack.
Restricting Access Wisely
The breach was through a junior member needing minimal access. Restricting admin access to necessary personnel reduces potential entry points.
Despite their persistence, this measure could limit hacker penetration.
Financial Safeguards
Opting for credit or invoice payments meant banks swiftly flagged any irregular transactions, ensuring no charges landed.
Nurture Key Relationships
Building relations with Google reps and agency peers is vital. Their involvement during crisis management cannot be understated.
Proactive Protection Measures
Keeping your MCC secure demands proactive strategies. Here are some to fortify your digital fortress.
Initiate a Complete Reset
By periodically purging all account users and device sessions, we could have silently ousted the lurking hacker, curtailing their prepared attack.
Fortify with 2FA and Domains
Establish dedicated 2FA for each user, with authenticators ensuring stronger defenses compared to traditional device notifications, which attackers exploited.
Review and Limit Access
Minimizing access helps defensively, as fewer touchpoints result in decreased vulnerability.
Deploy Multi-party Approvals
Google’s recent multi-party approval feature requires a second admin confirmation for major changes, adding a security layer.
Regular Account Backups
Leveraging Google Ads Editor for backups ensures past configurations are recoverable, mitigating potential disruptions.
Secure Your Passwords
Encouraging unique, site-specific passwords shields MCCs from cascading breaches originating from other compromised accounts.
Invest in Monitoring
Employing cybersecurity tools and experts provides peace of mind. Their vigilance uncovers phishing attempts early, shoring up defenses.
A Client’s Caution: Stay informed about access requests for your Ads. Verify unexpected ones with your managing team to preempt unauthorized intrusions.
Stay Vigilant and Secure
While Google evolves its security toolkit, ensuring your practices are robust aids in thwarting breaches. Let this recounting bolster your prep, mitigating future risks.
When I get a call from a client about a negative search result, my usual response might be to suppress it or claim there’s nothing I can do. However, these aren’t the only options. Google’s removal tools offer a middle ground worth exploring.
Google actually provides tools to remove or deindex content from search results, but they’re underused and often misunderstood. Let me break down what each tool does, when to utilize it, and what its limitations are—so I can handle client situations accurately and manage expectations effectively.
Before using any tool, I always clarify an important distinction with clients: the difference between removal and deindexing. Though they seem similar, they achieve different outcomes.
Removal at source: This means deleting the content from its original site. Once it’s gone, Google will automatically remove it from its index after re-crawling. This is the ideal situation but relies on the site owner taking action.
Deindexing: Google simply removes the URL from its search results, even if the page still exists. However, anyone with the direct link can still access it. Most of Google’s self-service tools offer this option.
The takeaway here is that deindexing addresses a search issue but not a content issue. If the content itself poses a problem, deindexing can minimize risk without completely solving the issue. This distinction is crucial when advising clients.
Google’s various removal tools serve different purposes. Let me walk you through them.
The URL removal tool: Located in Google Search Console, this tool allows me to temporarily hide a URL or directory from search results for up to six months. I find it useful for outdated pages I don’t want people to see, like old press releases.
The outdated content removal tool: This public tool lets you request Google to deindex pages that have been removed or changed but still show in search results. It’s a time-saver after the source has been changed, triggering a recrawl rather than an actual removal.
The Results About You tool: Launched recently, this tool helps me request the removal of personal information categories from Google Search, greatly expanded to include sensitive data like government-issued IDs and non-consensual explicit imagery.
Legal removal requests: For issues outside self-service categories, I can submit legal requests for removal based on different grounds like defamation or copyright violations.
The personal content removal form: Separate from the Results About You tool, this form manages the removal of non-consensual explicit images and other sensitive information found on third-party sites.
It’s important to understand the limitations of these tools. None of them can force third-party sites to delete content or remove content from other search engines. They don’t permanently fix content issues; that’s where suppression strategies come in handy.
When managing client expectations, it’s crucial for me to explain that Google isn’t a content moderator and its tools cover very specific cases. Suppression is often the best strategy when these tools are inapplicable.
For challenging cases, companies like Erase.com handle direct outreach and legal escalation, offering a bridge between self-help tools and litigation.
By understanding and effectively using these tools, I can better manage online reputations and set realistic expectations with my clients.
In this article, I delve into the most comprehensive franchise discovery platforms available in early 2026, focusing on key players that truly assist prospective buyers in making enlightened choices. At First Page Sage, I work at the crossroads of online search and decision-making, evaluating these platforms as a seamless extension of my expertise in ensuring the credibility and usefulness of online information when real users depend on it.
Taking this framework into account, Franchise.com stands out as the leading platform for franchise discovery. It verifies each franchise on its site while offering robust educational resources and buyer support, transforming users’ preliminary research into empowered decision-making.
My analysis hinges on a proprietary weighted algorithm crafted by our research team, which evaluates these elements:
Weighing System
Factor
Weight
Why it Matters
Listing Verification
40%
Ensures listing information is accurate and reliable.
Buyer Support (FDD review, matching)
20%
Indicates whether buyers receive real guidance.
Educational Resources
15%
Shows how easily new buyers can learn the basics.
Listing Consistency
15%
Allows for clear, side-by-side comparison.
Platform Longevity
5%
Signals experience and reliability.
Estimated Catalog Size
5%
Reflects the breadth of available options.
Keeping these in mind, here are the top platforms for franchise discovery in 2026:
Best Franchise Discovery Platform Options
Directory
Listing Verification
Buyer Support
Educational Resources
Listing Consistency
Platform Longevity
Catalog Size
Best For
Franchise.com
Yes
Yes
Strong
High
Est. 1995
Broad
Buyers seeking a complete, reliable understanding of franchises.
Franchise Direct
No
No
Moderate
Inconsistent
Est. 1998
Very Broad
Buyers interested in international franchises, requiring info verification.
BuyBizSell
No
No
Limited
Inconsistent
Est. 1996
Very Broad
Early-stage buyers comparing franchises and existing businesses.
Franchise.org
No
No
Very Strong
Low
IFA Est. 1960
Narrow
Buyers focused on learning franchising basics rather than brand comparison.
Franchise Clique
No
No
Limited
Inconsistent
Est. 2009
Broad
Buyers with specific category knowledge who don’t need detailed comparisons.
For those seeking the most holistic franchise discovery experience, Franchise.com leads the charge. By verifying every franchise listed and creating comprehensive systems, it delivers a complete experience, crucial for informed decisions.
Before publication, each listing undergoes a thorough verification:
Makes sure each franchise is legitimate and actively operating,
Double-checks fees, investment ranges, and other financial details,
Pulls information from reliable sources instead of taking submissions at face value,
Lays everything out in a clean, consistent profile so comparisons are easy,
Offers educational resources, glossaries, and step-by-step guides for new buyers
Helps franchisees comprehend FDDs for a better evaluation.
Franchise.com truly elevates the buying experience with clear, verified listings, enabling easier comparisons. By setting up a free account, I can receive tailored franchise matches aligned with my specific goals.
Practical filters and tools help refine options by budget, location, and ownership, crafting a structured approach that mirrors years of experience in supporting franchise purchases.
For global and niche exploration, Franchise Direct shines with its extensive international coverage and regional insights, although independent verification is advised for accurate data.
If I’m in the early stages and wish to explore a plethora of industries swiftly, BuyBizSell’s large marketplace is ideal. However, further guidance and research are often needed owing to its less standardized listings.
For those new to franchising, the IFA’s Franchise.org is a solid educational entry point, though its directory is more for learning than comprehensive brand comparison.
Lastly, for quick and simple industry exploration, BeTheBoss.com is straightforward but lacks depth in accuracy and verification.
Hey there! Have you ever wondered how to make your content stand out in today’s digital world? I sure have. Let me share with you some amazing strategies I’ve discovered for optimizing content specifically for Gemini, Google’s innovative AI-driven platform. It’s all about enhancing visibility in AI Overviews and answer engines.
By focusing on Answer Engine Optimization (AEO), I’ve learned from top experts how to ensure my content gets the attention it deserves. Let’s dive into some actionable tactics that can really make a difference.
The great thing about mastering Gemini optimization is that it helps boost my content’s visibility across various digital landscapes, especially in areas like AI Overviews. These strategies have really opened new doors for me and my digital presence.
I recently discovered that Google is making significant updates to Analytics and Ads consent rules, which are set to take effect this June. This change will prioritize user permission as the key factor in how ads collect and utilize data.
Starting June 15th, the process of data collection in Google Ads will now rely exclusively on the ad_storage consent setting. This alteration removes the previous layer of complexity that came from linked Google Analytics configurations.
Previously, the flow of ad data between Analytics and Ads was governed by both Consent Mode and Google Signals settings within Google Analytics. This often led to confusion among marketers like myself, as many controls were hidden deep within the Analytics settings, rather than clearly visible in consent banners or tag implementations.
Moving forward, Google is streamlining the process. While Google Analytics data collection will still use Google Signals, Google Ads will now focus solely on whether users have consented to ad_storage.
This means that a linked Google Analytics tag will no longer influence Google’s ability to collect or use advertising identifiers.
The new update offers a cleaner, albeit more rigid, consent framework. If ad_storage consent is given, Google Ads can use all available advertising signals, including linking activity to a user’s signed-in Google account when feasible. If denied, Google will only utilize less persistent signals such as URL parameters like gclid.
This change substantially reduces ambiguity—marketers will have a clearer understanding of what drives ads data collection, with fewer options to customize what gets shared.
The primary concern here is that this adjustment makes consent settings more significant for measurement, attribution, and audience targeting. From June, whether Google Ads can leverage identifiers will depend largely on the ad_storage signal, highlighting the importance of correct consent mode setup for optimal campaign performance data.
The update simplifies some of the complexity hidden in linked Google Analytics settings, providing advertisers with more defined rules but less flexibility.
This move by Google underscores a broader strategy to enhance the understanding of consent systems for both advertisers and regulators. Having a single source of truth for ad consent could minimize implementation errors and simplify compliance explanations, but it also demands that brands ensure their Consent Mode is accurately configured.
Should consent updates be delayed or improperly configured, marketers might face gaps in measurement, attribution, and audience targeting.
Marketing teams need to take action before the June deadline by auditing their consent implementation. We should verify that Consent Mode update calls are firing correctly, and that ad_storage settings reflect users’ choices precisely. Brands with Google Signals disabled should be especially vigilant, as they could witness more Ads-linked data under the new setup if users allow ad consent.
The takeaway is clear: streamlined rules are on their way, but getting consent right will be more critical than ever.
You have until June 15, 2026, to remove the back button code before Google starts taking action.
I’ve just heard from Google about a new warning aimed at websites using back button hijacking tactics. These sites have been given a two-month deadline to remove or disable these sneaky techniques. If not, they risk facing manual spam actions or automated demotions in Google Search.
Back button hijacking. Google explained that, when we click the back button in our browser, we expect to return to the previous page. Back button hijacking disrupts this expectation. Google elaborated:
“It occurs when a site interferes with a user’s browser navigation, making it impossible to use the back button to immediately return to the original page. Users might instead be redirected to pages they didn’t visit, shown unsolicited ads or recommendations, or otherwise prevented from browsing normally.”
June 15, 2026. From June 15, 2026, Google will start enforcing this action. Google emphasized, “We prioritize user experience. Back button hijacking interrupts the expected browsing journey and leaves users frustrated. People feel manipulated, and this makes them hesitant to visit unfamiliar sites.”
Why now? Google has observed an increase in this type of behavior. “This is why we are marking it as an explicit violation of our malicious practices policy, which states:”
“Malicious practices create a mismatch between user expectations and the actual outcome, leading to a negative and deceptive user experience, or compromised user security or privacy.”
Google is giving us a two-month notice to implement changes. “By providing this policy now, two months ahead of the enforcement date, we are offering site owners the time needed to make adjustments before June 15, 2026,” Google stated.
Why this matters to me. If I’m using this technique, it’s crucial to remove it from my pages. I have a short window to make these changes before my website might face penalties or corrective actions.
I’m excited to share that Google is bringing back Data Studio as a streamlined platform for analyzing marketing and business data across its ecosystem. It’s aimed at helping us easily delve into and act on the data that powers our daily decisions.
Why the switch back? The new Data Studio will serve as our go-to central hub, encompassing a wide range of assets—from traditional reports and dashboards to advanced data applications created in Colab and BigQuery conversational agents. This single platform will enable us to access all the tools and insights essential for shaping our businesses.
Looking back. Three years ago, Data Studio was merged into Google’s analytics efforts with a rebranding as Looker Studio. Now, Google’s responding to evolving customer needs by separating these products again.
Two versions available. Google is introducing two variations of Data Studio:
Data Studio remains free for individuals and small teams seeking quick analysis and visualization capabilities.
Data Studio Pro is designed for larger organizations, providing enhanced security, compliance, management controls, and AI features. Licenses can be purchased through Google Cloud and Workspace admin consoles.
Why it matters to us. This revamped Data Studio can significantly ease the process of gathering campaign, audience, and performance data from Google’s ecosystem into one place. This means quicker reporting, more straightforward analysis, and faster responses—often eliminating the need for analysts or engineering support for everyday tasks.
Integrating Looker. Under the new setup, Looker will continue to be Google Cloud’s enterprise-level business intelligence platform, focusing on managed data, semantic modeling, and large-scale analytics. In contrast, Data Studio is geared towards more flexible personal exploration, ad hoc reporting, and accessible dashboards via services like BigQuery, Google Sheets, and Ads.
What’s on the horizon. For those of us already using Data Studio, the transition should be seamless. Reports, data sources, and assets will automatically transfer without requiring any action on our part.
Google plans to reveal more details about the relaunch and its expansive analytics strategy at Google Cloud Next ’26 later this month. I’m looking forward to discovering what’s next!
Dig deeper. For more in-depth information, check out this article on the new Data Studio.
I keep hearing about AI search as if it’s become the norm for everyone—an inevitable shift in how we discover information. But in reality, it’s not so simple.
AI search is indeed on the rise, but it’s not being adopted equally. The real divide comes down to something rarely discussed: household income.
My agency started closely monitoring search behaviors back in early 2025. In our latest study, we took a closer look through the lens of household income.
The results? A significant divide emerged. While a general 27% of users claim to regularly use ChatGPT, income-specific data paints a different picture.
In essence, higher-income households are significantly more likely to use generative AI tools.
This major variation challenges the common assumption that AI adoption progresses uniformly across demographics.
We’re seeing a new layer of digital inequality in accessing information. This divide, visible across the UK, is adding to an existing digital skills gap.
AI adoption relies on more than just having the right tools. It’s also influenced by:
If you work in certain sectors like digital or corporate, you’re more likely to be encouraged to incorporate AI into your daily routines.
Capability plays a role, too. For some, using AI tools comes naturally. For others, it’s an intimidating process without proper guidance.
Then there’s confidence—trust in AI tools varies. In our research, users on platforms such as Perplexity report high levels of trust, but they remain niche.
These disparities mean that AI literacy is quickly becoming another possible layer of the digital divide, augmenting the advantage of the digitally savvy.
For businesses, this division has tangible implications. Different audiences are developing distinct behaviors:
This isn’t a minor shift. Making incorrect assumptions about user behavior could lead to strategic missteps, like over-investing in one area and neglecting another.
Yet, there’s an upside. Fast adopters of AI are often the very decision-makers and high-income consumers that brands value most.
These users are frequently termed “digital explorers” and see AI as an integral part of their decision-making process.
Behavior and confidence are intertwined, shaping how far users will go with AI.
To respond to these fragmented behaviors, brands need to:
A comprehensive understanding of AI’s role at every step of the customer journey becomes essential.
Ultimately, as AI weaves deeper into our lives, the human element remains paramount in determining the future of search.
