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How Google Maps Reviews Are Moderated

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How Google Maps Reviews Are Moderated

Google published an explainer that offers insights into how Google handles reviews left for local businesses on Google Maps. The article outlines the multiple steps and actions Google takes that enables it to review and publish user generated reviews in a matter of seconds.

Google shared five steps it takes to ensure that Google Maps reviews are useful and authentic.

Step 1: Strict Content Policies

The backbone of Google’s approach to moderating reviews left on Google Maps is a well defined content policy.

Every website that accepts user generated content must have a well-defined policy describing what is acceptable. This helps users understand the limits and also informs the moderators on when to step in.

According to Google:

“We’ve created strict content policies to make sure reviews are based on real-world experiences and to keep irrelevant and offensive comments off of Google Business Profiles.”

Key points about Google Maps Review Content Policy

Google’s content policy outlines the outcome they are trying to encourage:

“Contributions must be based on real experiences and information.”

Google’s content policy outlines six kinds of activity that are prohibited.

Examples of Review Content that Violate Map Review Policy:

  1. Deliberately fake content
  2. Copied or stolen photos
  3. Off-topic reviews
  4. Defamatory language
  5. Personal attacks
  6. Unnecessary or incorrect content

Step 2. Content Policy Is Integrated Into Google’s Algorithm

The next step Google takes to protect the integrity of the Google Maps Reviews is to integrate the content policy into Google’s algorithms by using the policy as training data for the algorithm and for its human moderators.

Google explains:

“Once a policy is written, it’s turned into training material — both for our operators and machine learning algorithms — to help our teams catch policy-violating content and ultimately keep Google reviews helpful and authentic.”

Step 3. Reviews are Immediately Moderated by Google

Google shares that that all reviews are sent to their moderation systems for review as soon as the review is posted.

Google uses a mix of human and machine review systems. Google’s algorithms can process a review and give it a pass for publication within a matter of seconds.

Google has traditionally preferred to scale their systems with algorithms rather than depend on humans to complete tasks.

The algorithm looks at many factors to determine if a review is fake.

Google names a few of the review factors:

  • Is the content offensive?
  • Is the content off-topic?
  • Is the account leaving the review engage in suspicious behavior?
  • Is a spike in reviews related to news or social media attention which motivates fake reviews?

Google shares how its automated system works:

“As soon as someone posts a review, we send it to our moderation system to make sure the review doesn’t violate any of our policies.

…Given the volume of reviews we regularly receive, we’ve found that we need both the nuanced understanding that humans offer and the scale that machines provide to help us moderate contributed content.”

Step 4. Google Encourages Community Moderation

Google stated that it encourages businesses and the public to submit reports of fake reviews.

This is a standard method of moderating user generated content (UGC).

This approach is sometimes called Report-a-Post. Report-a-Post is great because it makes users feel a part of a community and it crowd-sources the review function, allowing a users and businesses to apply their unique viewpoint to catch bad reviews that might slip past a moderator or an algorithm.

Step 5. Google is Proactive and Anticipates Fake Reviews

An interesting fact that Google shared is that it is proactive about anticipating events that could lead to abusive reviews. Google provides heightened monitoring of reviews of businesses that are in the areas of those events in order to make sure that only authentic and useful reviews are published.

Google shared:

“For instance, when there’s an upcoming event with a significant following — such as an election — we implement elevated protections to the places associated with the event and other nearby businesses that people might look for on Maps.”

Machine Learning Plus Human Moderation of Google Maps Reviews

Google’s approach to moderating user generated content follows a longstanding approach that was pioneered on forums and blogs, including the use of automated systems to deal with users and events that can lead to a greater chance of abusive content.

This article is useful because the steps Google takes can serve as an inspiration and a template for formulating an approach to moderating user generated content on any website or platform that accepts user content.

Citations

Read Google’s Blog Post

How reviews on Google Maps work

Read Google’s Map Reviews Policy

Maps User Contributed Content Policy

Watch Google’s Informative Video on Maps Reviews

How Google Maps Reviews Work




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HubSpot Rolls Out AI-Powered Marketing Tools

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HubSpot Rolls Out AI-Powered Marketing Tools

HubSpot announced a push into AI this week at its annual Inbound marketing conference, launching “Breeze.”

Breeze is an artificial intelligence layer integrated across the company’s marketing, sales, and customer service software.

According to HubSpot, the goal is to provide marketers with easier, faster, and more unified solutions as digital channels become oversaturated.

Karen Ng, VP of Product at HubSpot, tells Search Engine Journal in an interview:

“We’re trying to create really powerful tools for marketers to rise above the noise that’s happening now with a lot of this AI-generated content. We might help you generate titles or a blog content…but we do expect kind of a human there to be a co-assist in that.”

Breeze AI Covers Copilot, Workflow Agents, Data Enrichment

The Breeze layer includes three main components.

Breeze Copilot

An AI assistant that provides personalized recommendations and suggestions based on data in HubSpot’s CRM.

Ng explained:

“It’s a chat-based AI companion that assists with tasks everywhere – in HubSpot, the browser, and mobile.”

Breeze Agents

A set of four agents that can automate entire workflows like content generation, social media campaigns, prospecting, and customer support without human input.

Ng added the following context:

“Agents allow you to automate a lot of those workflows. But it’s still, you know, we might generate for you a content backlog. But taking a look at that content backlog, and knowing what you publish is still a really important key of it right now.”

Breeze Intelligence

Combines HubSpot customer data with third-party sources to build richer profiles.

Ng stated:

“It’s really important that we’re bringing together data that can be trusted. We know your AI is really only as good as the data that it’s actually trained on.”

Addressing AI Content Quality

While prioritizing AI-driven productivity, Ng acknowledged the need for human oversight of AI content:

“We really do need eyes on it still…We think of that content generation as still human-assisted.”

Marketing Hub Updates

Beyond Breeze, HubSpot is updating Marketing Hub with tools like:

  • Content Remix to repurpose videos into clips, audio, blogs, and more.
  • AI video creation via integration with HeyGen
  • YouTube and Instagram Reels publishing
  • Improved marketing analytics and attribution

The announcements signal HubSpot’s AI-driven vision for unifying customer data.

But as Ng tells us, “We definitely think a lot about the data sources…and then also understand your business.”

HubSpot’s updates are rolling out now, with some in public beta.


Featured Image: Poetra.RH/Shutterstock

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Holistic Marketing Strategies That Drive Revenue [SaaS Case Study]

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Holistic Marketing Strategies That Drive Revenue [SaaS Case Study]

Brands are seeing success driving quality pipeline and revenue growth. It’s all about building an intentional customer journey, aligning sales + marketing, plus measuring ROI. 

Check out this executive panel on-demand, as we show you how we do it. 

With Ryann Hogan, senior demand generation manager at CallRail, and our very own Heather Campbell and Jessica Cromwell, we chatted about driving demand, lead gen, revenue, and proper attribution

This B2B leadership forum provided insights you can use in your strategy tomorrow, like:

  • The importance of the customer journey, and the keys to matching content to your ideal personas.
  • How to align marketing and sales efforts to guide leads through an effective journey to conversion.
  • Methods to measure ROI and determine if your strategies are delivering results.

While the case study is SaaS, these strategies are for any brand.

Watch on-demand and be part of the conversation. 

Join Us For Our Next Webinar!

Navigating SERP Complexity: How to Leverage Search Intent for SEO

Join us live as we break down all of these complexities and reveal how to identify valuable opportunities in your space. We’ll show you how to tap into the searcher’s motivation behind each query (and how Google responds to it in kind).

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What Marketers Need to Learn From Hunter S. Thompson

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What Marketers Need to Learn From Hunter S. Thompson

We’ve passed the high-water mark of content marketing—at least, content marketing in its current form.

After thirteen years in content marketing, I think it’s fair to say that most of the content on company blogs was created by people with zero firsthand experience of their subject matter. We have built a profession of armchair commentators, a class of marketers who exist almost entirely in a world of theory and abstraction.

I count myself among their number. I have hundreds of bylines about subfloor moisture management, information security, SaaS pricing models, agency resource management. I am an expert in none of these topics.

This has been the happy reality of content marketing for over a decade, a natural consequence of the incentives created by early Google Search. Historically, being a great content marketer required precisely no subject matter expertise. It was enough to read widely and write quickly.

Mountains of organic traffic have been built on the backs of armchair commentators like myself. Time spent doing deep, detailed research was, generally speaking, wasted, because 80% of the returns came from simply shuffling other people’s ideas around and slapping a few keyword-targeted H2s in the right places.

But this doesn’t work today.

For all of its flaws, generative AI is an excellent, truly world-class armchair commentator. If the job-to-be-done is reading a dozen articles and how-to’s and turning them into something semi-original and fairly coherent, AI really is the best tool for the job. Humans cannot out-copycat generative AI.

Put another way, the role of the content marketer as a curator has been rendered obsolete. So where do we go from here?

“The only way to write honestly about the scene is to be part of it.”
—Hunter S. Thompson, Hell’s Angels“The only way to write honestly about the scene is to be part of it.”
—Hunter S. Thompson, Hell’s Angels

Hunter S. Thompson popularised the idea of gonzo journalism, “a style of journalism that is written without claims of objectivity, often including the reporter as part of the story using a first-person narrative.”

In other words, Hunter was the story.

When asked to cover the rising phenomenon of the Hell’s Angels, he became a Hell’s Angel. During his coverage of the ‘72 presidential campaign, he openly supported his preferred candidate, George McGovern, and actively disparaged Richard Nixon. His chronicle of the Kentucky Derby focused almost entirely on his own debauchery and chaos-making—a story that has outlasted any factual account of the race itself.

In the same vein, content marketers today need to become their stories.

It’s a content marketing truism that it’s unreasonable to expect writers to become experts. There’s a superficial level of truth to that claim—no content marketer can acquire a decade’s worth of experience in a few days or weeks—but there are great benefits awaiting any company willing to challenge that truism very, very seriously.

As Thompson proved, short, intense periods of firsthand experience can yield incredible insights and stories. So what would happen if you radically reduced your content output and dedicated half of your content team’s time to research and experimentation? If their job was doing things worth writing about, instead of just writing? If skin-in-the-game, no matter how small, was a prerequisite of the role?

We’re already seeing this shift.

“The closest analogy to the ideal would be a film director/producer who writes his own scripts, does his own camera work and somehow manages to film himself in action, as the protagonist or at least a main character.”
—Hunter S. Thompson, The Great Shark Hunt“The closest analogy to the ideal would be a film director/producer who writes his own scripts, does his own camera work and somehow manages to film himself in action, as the protagonist or at least a main character.”
—Hunter S. Thompson, The Great Shark Hunt

Every week, I see more companies hiring marketers who are true, bonafide subject matter experts (I include the Ahrefs content team here—for the majority of our team, “writing” is a skill secondary to a decade of hands-on search and marketing experience). They are expensive, hard to find, and in the era of AI, worth every cent.

I see a growing expectation that marketers will document their experiences and experiments on social media, creating meta-content that often outperforms the “real” content. I see more companies willing to share subjective experiences and stories, and avoid competing solely on the sharing of objective, factual information. I see companies spending money to promote the personal brands of in-house creators, actively encouraging parasocial relationships as their corporate brand accounts lay dormant.

These are ideas that made no sense in the old model of content marketing, but they make much more sense today. This level of effort is fast becoming the only way to gain any kind of moat, creating material that doesn’t already exist on a dozen other company blogs.

In the era of information abundance, our need for information is relatively easy to sate; but we have a near-limitless hunger for entertainment, and personal interaction, and weird, pattern-interrupting experiences.

Gonzo content marketing can deliver.

“But what was the story? Nobody had bothered to say. So we would have to drum it up on our own.”
—Hunter S. Thompson, Fear and Loathing in Las Vegas“But what was the story? Nobody had bothered to say. So we would have to drum it up on our own.”
—Hunter S. Thompson, Fear and Loathing in Las Vegas

 

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