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ChatGPT search has 41 million average monthly users in EU

OpenAI’s ChatGPT search had 41.3 million average monthly users across the EU between October and March. That’s nearly 4x growth from the prior six-month stretch, when it reported having 11.2 million users.

Why we care. Brands and businesses need to understand how (or whether) their content is being surfaced in AI-generated responses. ChatGPT search is nowhere near replacing Google Search, but it is an emerging channel for visibility and discoverability.

What ChatGPT reported. According to OpenAI’s EU Digital Services Act (DSA) page:

  • “For the six-month period ending 31 March 2025, ChatGPT search had in combination approximately 41.3 million average monthly active recipients in the European Union.”

What is a recipient. The EU counts a “monthly active recipient” as the number of unique users who engage with an online platform at least once.

Yes, but. Google still dominates search. According to Google’s DSA Disclosure report, Google Search had:

  • 355.7 million average monthly signed-in recipients.
  • 424.4 million average monthly signed-out recipients.

That means, in the EU, Google Search (signed in and out) is nearly 20x bigger than ChatGPT search.

Dig deeper. Google Search is 373x bigger than ChatGPT search

What’s next for OpenAI. ChatGPT search is approaching the EU’s threshold for a “very large online platform” under the Digital Services Act (DSA). That milestone — 45 million monthly active users — would put ChatGPT search under increased scrutiny in the EU.

Read more at Read More

ChatGPT releases Memory with Search

ChatGPT can now personalize searches using your memories.

Memory with Search is a new addition to ChatGPT search, and was quietly added as an update in its changelog.

What is Memory with Search. ChatGPT said it can “use memories to inform search queries when ChatGPT searches the web using their-party search providers.”

Not a lot of detail there. But OpenAI’s ChatGPT search page offers more information:

‘If you have ‘Memory’ enabled, when ChatGPT search rewrites your prompt into a search query it may also leverage relevant information from memories to make the query better and more useful. For example, if the user has ‘Memory’ turned on and asks ChatGPT ‘what are some restaurants near me that I’d like,’ and has memories is that the user is vegan and lives in San Francisco, then ChatGPT may rewrite the user’s prompt to ‘good vegan restaurants San Francisco.’ You can learn more here about Memory, including how to disable it or control individual memories.

ChatGPT Memory. OpenAI announced the official launch of Memory on April 11. ChatGPT Memory consists of saved memories (memories users ask ChatGPT to remember) and chat history (insights gathered from past chats to improve future ones). Access to ChatGPT Memory is still rolling out now.

Why we care. ChatGPT’s use of memories and rewriting prompts into search queries (to be more nuanced, contextual, and user-specific) means AI search is shifting toward being more deeply personalized. This could impact how and when your brand or business appears in AI-generated answers.

Opt out. Users who don’t want to use Memory can head to Settings > Personalization > Memory and turn off the slider for Reference saved memories.

The announcement. ChatGPT – Release Notes (April 16)

Read more at Read More

The complete guide to high-impact educational video content

The complete guide to high-impact educational video content

Educational videos are among the top 10 most-consumed video content formats globally, according to Statista

Most popular video content type

And it makes sense. Video is one of the fastest, most engaging ways to teach, demonstrate, and connect. 

But for creators and businesses alike, making a video that actually works (as in: educates, retains, or converts) requires more than hitting “record.”

I’ve been creating online content for years, so I know what works and what doesn’t. 

  • Our online SEO training has helped thousands of marketers level up their skills through self-paced modules, monthly live Q&A webinars, and on-demand videos. 
  • Our “Ask Us Anything” video series and SEO agency commercials are produced with the help of our award-winning video producer.
  • Our YouTube channel continues to serve as a central hub for sharing educational content.

Whether you’re creating onboarding tutorials, educational content for your audience, or a course you plan to sell, below are tips I’ve seen succeed across every stage of the video creation process, from concept to camera to clicks.

1. Define the purpose and audience through a clear strategy

Every great educational video starts with a clear strategy. 

Before you pick up the camera or open your editing software, you must know who you’re creating for and what you’re trying to achieve. 

Clarify the purpose

Just like SEO, intent is everything in video production, so clarify the purpose upfront.

Are you aiming to solely educate or train, or will your video have an element of conversion? Maybe your education video is meant to retain your existing audience instead.

Whatever the purpose, the objective shapes the video’s content, tone, and structure. 

For instance, an SEO training module will differ significantly from an educational demo intended to convert prospects.​

Understand your audience

Understanding your audience is equally important. Consider their goals, challenges, skill levels, and preferred learning styles. 

Are they beginners looking for foundational knowledge or advanced users looking for in-depth insights? 

Tailoring your content to meet their needs will make your video more effective.​

Free or paid?

Consider whether your content will be free or paid. 

Free videos can build brand awareness and provide value to a broad audience, while paid content often offers in-depth training or exclusive insights. 

Knowing the role of videos within your broader content strategy, SEO initiatives, and customer journey will help you incorporate free and paid content where it makes the most sense.

2. Craft content around in-demand topics and the type of video

Whether you’re creating a one-off tutorial or a full training series, the key is to start with a clear plan of attack for the content.

Coming up with video topics

Your videos should align with either audience intent (what they’re searching for) or a structured curriculum (what they need to learn over time).

Here are some ways to generate topic ideas:

  • If your videos support a product or service, look at keyword intent and customer FAQs to generate topics. What questions are coming up in comments, sales calls or support tickets?
  • If you’re building an online course or internal training program, outline a logical progression. 
  • You can also use keyword tools, YouTube’s autocomplete, or even generative AI to help brainstorm ideas around a theme.
  • For more inspiration, you can spy on competitors’ educational videos. 
  • If you already have blog content or written guides, repurposing those into educational videos is another easy place to start.

Define the video format

Choosing the video format dictates the rest of the video creation process. 

For example, how-to videos are great educational formats that provide step-by-step guidance. 

Plus, you can increase your chances of showing up in the search results for target “how to” queries with YouTube videos. 

In 2023, more than 30% of Google desktop SERPs in the U.S. featured a video carousel, video result or featured video, according to Semrush.

People watch more of a how-to video than any other type of video, per Wistia’s “2025 State of Video Report.”

Average engagement rates by video content type

Another thing to consider is how you’ll deliver the content in the video. 

Some companies prefer talking head videos, which add a personal touch and are a great way to build a brand when internal folks serve as educators on camera. 

Others prefer animations, which can help simplify abstract concepts. 

Webinars ​are another great way to help educate your audience. 

The majority of businesses (60%) use webinars for training or coaching sessions, followed by thought leadership events (50%), per Wistia. 

We’ve seen great success with a monthly live Q&A webinar on my SEO training membership site. 

In fact, many of our students become our clients after spending time with our training videos. 

Structure each video 

Most high-performing videos follow a similar structure: 

  • Hook.
  • Introduction.
  • Main content.
  • Recap.
  • A call-to-action (CTA).

This is true whether you’re publishing on YouTube or delivering a paid course. You’ll need to adjust the pacing for training modules versus a marketing video. 

The hook is especially important. We’ve found the most success when you can capture interest within the first five seconds of the video.

This could be done through a surprising fact, a visual teaser, or a question the viewer wants answered.

From there, keep the pacing tight. Avoid over-explaining and cut the fluff where possible. 

Even long-form training videos should feel intentional and well-paced.

Length matters

Not all videos perform equally – and much of it comes down to how long they are. 

Based on Wistia’s analysis of over 100 million videos (linked earlier), viewer engagement varies significantly by duration.

Average engagement rate by video length

Under one minute

Short videos work – especially on social or as top-of-funnel content – but they need to get to the point fast. 

Wistia found that videos under one minute had the highest average engagement rate at 50%. Short videos can be ideal for quick social snippets or teasers for longer video content. . 

One to five minutes

Videos in this range also held attention fairly well.

  • One to three minutes: 46% average engagement.
  • Three to five minutes: 45% average engagement.

Wistia notes that how-to videos under five minutes were especially strong performers, with viewers watching more than two-thirds of the way through, on average.

Five to 30 minutes

Once videos pass the five-minute mark, engagement starts to dip. 

Wistia’s data shows:

  • Five to 30 minutes: 38% average engagement.
  • 30 to 60 minutes: 25%.
  • 60+ minutes: Just 17%.

That doesn’t mean you should avoid longer videos entirely – just be intentional. 

We have found that shorter videos (like reels) tend to get more views because they’re something somebody can watch quickly. 

But long-form videos tend to have higher conversion rates because they demonstrate more knowledge and authority on a topic.

What about course modules?

The most profitable online courses are typically between 10 to 25 hours in total length, per Thinkific’s data from 40,000 course creators. 

The data suggests that five- to 10-hour courses are about 75% as profitable, and longer courses – 25 to 100 hours – are slightly less profitable than those.

Regardless, the advice is that the ideal course length is the shortest time required to achieve the learning objectives.

Courses that drive the most revenue

Sequence for learning

If you’re creating educational content, sequencing matters. 

Build with progression in mind, with lessons getting slightly more advanced over time.

Use reinforcement techniques like callbacks, visual repetition, or simple recap slides to help learners retain key points. 

The flow should feel intuitive and purposeful.

3. Script and storyboard to ensure clarity of the message

Scripting and storyboarding help you organize your message and plan how it will appear on screen. 

Start with a script

Whether you’re creating a tutorial or building an online course, scripting keeps your message focused and easy to follow.

If the video is structured – like a course module or product walkthrough – a full script is ideal. It helps you stay on track and hit all the key points without rambling.

But not every video needs a word-for-word script. 

If you’re podcasting, recording a founder Q&A, or filming a talking-head update, a loose outline with bullet points works better. 

You still need to know where the conversation is going, but it should feel natural, not rehearsed.

Visual planning

Once you have your script or outline, translate it into a visual plan. This is where storyboarding comes in. 

A storyboard helps you map out what will appear on screen and when. 

It’s helpful if your video includes product walkthroughs, charts, or training steps that build on one another.

This part doesn’t have to be complicated. You’re simply matching the visuals with your message to make the content easier to understand. 

Add visual cues that stick

Visual cues matter more than most people realize. 

On-screen text, callouts, arrows, annotations, and simple scene transitions help guide the viewer’s attention and reinforce key points. 

For most educational videos (excluding longer formats like podcasts or webinars), aim to change the visual every five to 10 seconds. 

That could mean:

  • Switching camera angles.
  • Zooming in slightly at the same angle.
  • Cutting to a supporting visual. 

It might feel like a lot, but those subtle shifts keep viewers engaged. 

Also, this may be obvious, but if you’re including a screen recording with a voice-over, make sure what’s happening on-screen matches what’s being said. 

Use tools to perfect the process

There are plenty of tools out there to help you organize and visualize your ideas before you record.

Tools like Boords and Storyboarder are great for visualizing a scene-by-scene breakdown. 

Even Canva can work well for rough storyboarding if you’re already using it for design.

You don’t need anything fancy, just something that lets you sketch things out before you press record.

And when you’re ready to record, you can use teleprompter apps to help you deliver your message smoothly. 

4. Select the right tech stack for your needs

Whether you’re recording a quick tutorial or producing a full online course, choosing the right gear, software, and hosting platform will save time, improve quality, and keep your process sustainable.

Match the tools to your goals

You don’t need the most expensive gear to make great video content. 

What matters most is choosing tools that match the type of content you’re creating and the audience you’re serving.

  • If you’re a solo course creator, a smartphone camera, lapel mic and natural lighting can go a long way. 
  • For internal training, you can level up with a mirrorless camera and external mic. 
  • For a higher-end effect, invest in a more expensive camera, lighting, audio, and nice backgrounds to create a polished brand experience.

Regardless of the setup, don’t skip a test shoot. 

Check your resolution, depth of field, and lighting to ensure the final result looks the way you intend.

Tools for recording your screen

If you’re doing tutorials or walkthroughs, screen recording software is a must.

  • QuickTime is what we use – it’s quick, easy and does everything we need.
  • Loom is a fast, no-fuss option for quick recordings.
  • Camtasia gives you more robust editing tools for polished content.
  • ScreenFlow is a solid choice for Mac users who want both recording and editing features in one place.

Edit smarter, not harder

Editing doesn’t have to be intimidating. Some tools are built to make this part easier, especially for solo creators.

  • Descript is great if you want to edit your video like a document.
  • Final Cut Pro and Adobe Premiere Pro give you more creative control but come with a steeper learning curve.
  • You can also hire a video editor, especially if you need a high-end result or just want to save time.

Hosting your videos

YouTube is the most widely used video platform globally, making it ideal for reach and search visibility on educational content. 

It’s also the second-most popular social network worldwide, which means a lot of exposure for your brand. 

YouTube videos can be an essential part of an SEO program when targeting certain keywords (like educational and how-to searches). 

But remember, only verified accounts can upload videos longer than 15 minutes. 

Then there are LMS platforms like Thinkific, Teachable, and Kajabi, which are built for structured learning. 

If you’re building a course, these platforms offer features like chaptering, progress tracking, and quizzes to support the full student experience.

Finally, Vimeo and Wistia give you more control over branding, privacy, and analytics. 

They’re especially useful for customer training, B2B product onboarding, or gated video content.

Using AI

AI is quickly changing the video production space. 

About 41% of companies are already using it for video, per Wistia’s most recent data (linked earlier), and another 19% will start using it soon. 

Using AI to create videos

Using AI can be particularly beneficial for short-form content, where speed and efficiency are key. 

Tools like OpusClip use AI to automatically generate short clips from longer videos, optimizing them for platforms such as TikTok, YouTube Shorts, and Instagram Reels. 

But AI is also expanding creative possibilities. 

For instance, we’ve successfully used AI to modify our SEO training course online. 

Because SEO is a rapidly changing industry, SEO training can quickly become stale. 

Instead of reshooting whole sections of our training course, we used an AI avatar of me to deliver updated talking points – and it looks surprisingly like me.

However, it’s important to use AI cautiously. 

Love it or hate it, AI is a controversial tool, and some people may be turned off by it. 

That said, overreliance on AI-generated content can lead to videos that feel impersonal or lack authenticity. 

While AI can assist in scripting, editing, and even avatars and visuals, the human touch remains essential to ensure content resonates with viewers.​ 

Stay on top of your video performance with analytics and use your intuition to decide whether AI-generated videos resonate. 

The right balance ensures your videos remain trustworthy.​

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5. Focus on production fundamentals for effective videos

You don’t need a full production crew to make professional-looking videos, but you do need to get the fundamentals right.

Prioritize audio quality

If you’re going to invest in one part of your production setup, start with sound.

Viewers are much more likely to tolerate a slightly grainy video than audio that’s hard to hear.

Multiple studies have found that poor audio quality influences whether people trust what they hear and how they perceive you overall. 

A lav mic or USB condenser mic is an easy and worthwhile upgrade.

Get the basics right

You don’t need a studio setup to get a clear shot. 

Just focus on even lighting (natural light works great), a camera angle that’s eye level or slightly above and a clutter-free background.

If you’re doing a screen recording, make sure the visuals are crisp and readable. 

Zoom in on sections when needed, and don’t clutter the screen with too much at once.

Batch and template your process

The more videos you make, the more it pays to streamline. 

Batching – filming multiple videos in one sitting – helps you stay in flow and save time.

Templating your intros, outros, transitions and even lower-thirds (the graphic overlays that typically appear in the lower third of the screen) can make your content consistent and reduce the decisions you have to make for every single video.

Make it accessible

This isn’t just a “nice to have.” 

Captions help viewers who are deaf or hard of hearing, support people watching in a sound-off environment, and can even boost comprehension for non-native speakers. 

Most video tools now make it easier to autogenerate and edit captions. 

These are key in formal learning environments or when you’re serving global audiences.

Think about the viewer experience

Pacing, tone, and delivery matter. 

What works for an internal training video isn’t the same as a how-to on YouTube.

For instance, in training content, give your viewers time to absorb the information – use pauses, reinforce key points, and keep instructions easy to follow. 

Know when to call backup

Sure, you can technically do everything yourself, but that doesn’t mean you should. 

Even the most experienced video producers hire out when it makes sense. 

Whether you need a motion designer for intro graphics, a video editor to clean up pacing and polish transitions, or a script consultant to help shape the story, know your weaknesses (or resource constraints) and make the call.

6. Optimize for search when visibility is a priority

Up to 82% of marketers say video has helped them increase web traffic

Not every video needs to be optimized for search – but when visibility is the goal, it’s worth the effort.

When SEO makes sense

If you’re publishing on YouTube or embedding tutorials on your site, optimization can help your content get discovered. 

Moz data once showed that YouTube videos make up over 94% of all video results in Google

If your audience is searching for answers, YouTube is a strong place to meet them.

When it’s not a priority

If your content lives behind a login or paywall – like course modules or internal training – SEO doesn’t need to be part of your workflow. 

In those cases, focus instead on the learning experience and making the video content clear, helpful and well-paced.

Start with keyword research

Google’s Gary Illyes has stated that if you see video results for a keyword, that’s your cue to consider making a video for it. 

Start by targeting topics that already bring up video results in Google or YouTube.

Tools like YouTube’s search predictions, AnswerThePublic, and other keyword tools on the market can help surface what people are actually searching for.

When in doubt, do a search. 

If there’s already a cluster of how-to videos, you’ve got a green light.

Optimize for search

SEO for videos doesn’t have to be complicated. 

However, the approach varies depending on where your video is hosted. Here’s where to focus.

For YouTube-hosted videos

Metadata: Google states that the title, thumbnail, and description are the more important pieces of metadata for video discovery. 

  • Title
    • Write a clear, engaging title that tells viewers exactly what they’ll get. 
    • Include your main keyword near the beginning, and keep it under 60 characters so it doesn’t get cut off in search. 
    • Make sure it reflects the actual content. Clickbait might get the click, but it won’t earn trust. 
    • Use things like all caps or emojis sparingly to highlight the right words. 
  • Thumbnails
    • Design custom thumbnails that are visually appealing and accurately represent the content. 
    • YouTube now has a feature to test your thumbnails
  • Description
    • Write a clear, keyword-rich description that tells viewers and YouTube what your video is about. (You have up to 5,000 characters here!) 
    • Include relevant keywords naturally. 
    • Link out to your website, social channels, or other videos when it makes sense. 
    • Use line breaks or bullet points to make it easy to scan.

Dig deeper: The DESCRIBE framework for effective YouTube descriptions

User engagement signals: While metadata is foundational for YouTube SEO, the platform’s algorithm places a lot of emphasis on user engagement and satisfaction. 

YouTube values the following:

  • Click-through rate (CTR): This is where the thumbnail comes into play once again. 
  • Watch time and retention: Videos that hold attention tend to get promoted more.
  • Engagement: Likes, comments, shares and subscribers all tell YouTube your content is valuable.
  • Viewer satisfaction: YouTube looks at behavior after the video ends – like whether someone bounces or keeps watching.
  • Personalization: The algorithm tailors results based on viewer behavior, so understand your audience and create for them.

More optimization tips: Here are additional tips that help optimize videos for YouTube:

  • Timestamps: Break up your video into clear, clickable sections. This is especially helpful in long-form or educational content.
  • Captions: Add closed captions for accessibility and extra context. 
  • End screens and cards: Help people take the next step. Recommend another video, playlist, or even a site link.
  • Group content into playlists: This improves watch time and helps viewers binge your content.
  • Consistent branding: Keep your intros, tone and visual style cohesive so viewers start to recognize your content instantly.
  • Engage in the comments: Respond, ask questions, start conversations. YouTube notices when a video sparks interaction.

For videos hosted on your website

When hosting videos on your own platform, the SEO focus shifts a bit. 

First, understand that self-hosted videos can appear in several key areas on search engines like Google and Bing:​

  • Video search tabs: Both Google and Bing have dedicated “videos” tabs that filter results to show only video content.​ This is a key place to show up.
  • Main search results: Your video might show up as a rich snippet alongside standard web results, complete with a thumbnail, title and description.​
  • Featured video results: For certain queries, Google may highlight a video prominently at the top of the search results.
Google SERPs - Video tab

Key optimization strategies include:​

  • Dedicated video pages: Create individual pages for each video, ensuring that the video is the main content on the page. This allows for more precise optimization.
  • Page title and meta description: Ensure the webpage hosting the video has a clear, keyword-rich title and meta description. This helps search engines understand the page’s content.​
  • Video metadata. This includes things like the video title, description, duration, and thumbnail URL.
  • Structured data: Implement video schema to provide search engines and people with detailed information about your video. You can highlight key moments, live broadcasts, educational content and more. This can enhance your video’s appearance in search results.​ 
  • Transcripts and captions: Including a transcript and/or captions on the page improves accessibility and provides additional content for search engines to index.​
  • Contextual content: On the same note, surround your video with relevant text content on the page to give search engines more context about the video’s subject matter.​
  • Stable video URLs: If your video files or thumbnail URLs change frequently or expire, Google may not be able to index them reliably. So stick with permanent, clean URLs and double-check that they’re not blocked by robots.txt or other restrictions. This is one of those technical details that’s easy to overlook. 
  • Videos above the fold. Put your video front and center on the page – ideally above the fold – so both users and search engines recognize it as the main content. But don’t sacrifice speed to do it. Use lazy loading where possible, and consider lighter formats like WebM to keep load times fast.
  • Video sitemaps: If you’re hosting multiple videos, consider creating a video sitemap. This helps search engines discover and index your video content more efficiently.

Dig deeper: 7 video optimization tips to boost your organic reach in 2025

7. Publish, promote, and measure success to track performance

Creating the video is only half the job. 

To get the most out of it, you need to publish, promote, and pay attention to what happens next.

Publishing and promoting

Whether you are promoting free or paid educational content, don’t just post it and hope for the best.

Publishing with a strategy makes a big difference in who sees your content and how it performs.

Start with your owned channels

Start by embedding videos on your website where it makes sense – on a course landing page, a sales page, or a relevant blog post.

If you have an email list, use it. Email is still one of the most effective ways to get in front of warm leads. 

You can build a short email sequence around a course launch, for instance, or simply drop the video into a newsletter with a clear call to action.

Share where your audience is

Social media can help your video gain traction, especially if your audience already follows you there. 

Don’t just post once – share the video in different formats over time: full video, short clips or even just a quote or takeaway. 

Each platform has its own rhythm and opportunities:

  • Instagram/Facebook: Reels, stories, and carousels can help you showcase educational content in bite-sized ways.
  • LinkedIn: Great for professional or B2B-focused courses. 
  • YouTube: If it’s not your main platform, consider uploading the video as unlisted and embedding it on your course page – or using YouTube Shorts to drive awareness.

Paid promotion

Sometimes organic reach isn’t enough. 

Paid promotion can help you get in front of more of the right people, faster.

YouTube ads, social media boosts, and even Google Ads can support your educational videos. 

Just make sure your landing page is clear, relevant, and compelling when someone clicks.

Tap into your network

If you have relationships with influencers, industry experts, or others in your space, see if they’d be open to collaborating or promoting your educational content in exchange for a commission or cross-promotion.

Look for partnerships that make sense; not just anyone with a following, but people your ideal audience already trusts.

Host live events to build momentum

Webinars, live Q&A sessions, or even a quick Instagram Live can help build buzz around your content. 

These live formats give people a taste of your teaching style and give you a chance to answer objections or highlight what’s inside your paid video content in a more personal way.

For example, we regularly post video content from inside our SEO training membership site to our YouTube channel to give viewers a sneak peek.

Repurpose strategically

Repurposing lets you extend the life of your content without starting from scratch.

Turn long-form videos into short clips for social or YouTube. 

YouTube Shorts has the highest engagement rate across all short video platforms at 5.91% while TikTok was second in line, Statista reports

You can also pull out quotes or visuals for blog posts or emails to promote your educational videos. 

Define what success looks like

Before you hit publish, know what you’re aiming for. 

Is it views? Engagement? Course completions? Conversions?

And if the video performs well in one area – even if it’s not the metric you were focused on – that’s still a win. 

For example, maybe conversions were low, but views were through the roof. 

That tells you something’s working, and it might be worth doubling down on similar content.

There’s no shortage of video content online. If something you create breaks through in any way, take that as a signal.

Track performance (and do it often)

Analytics will tell you what’s resonating and what’s not.

You should be checking your analytics regularly – ideally, every day. 

Make sure to use:

  • YouTube Analytics for engagement trends. 
  • Google Search Console to see how your video shows up in search. 
  • LMS analytics for course modules. 
  • Google Analytics 4 for how videos impact user behavior on your site. 

Learn from viewer behavior

Watch for drop-off points. If people keep bailing at the same timestamp, something’s off. 

And check your comments. If people are asking for a follow-up or mentioning another topic they want covered, that’s a content idea handed to you on a silver platter.

If your “How to Make Pizza” video gets many requests for spaghetti, it might be time to make a spaghetti video.

Making videos that teach – and stick

Educational videos work best when they’re built with intention. 

You don’t need a perfect setup or a massive production team, but you need to:

  • Understand your audience.
  • Have a clear message.
  • Stay consistent in how you create your content. 

Whether you’re launching a full course or building out one helpful video at a time, the strategies outlined here are meant to give you a process to start. 

Because when your videos are thoughtful, useful, and well-executed, people notice – and that’s where the real traction starts.

Read more at Read More

DOJ unveils plan to end Google’s illegal search monopoly

The U.S. Department of Justice and a coalition of states unveiled their proposed remedies today aimed at dismantling Google’s illegal monopoly in search and search advertising. These include breaking off Chrome and banning default search payments.

The remedies. They break down into five categories meant to enable and increase competition:

  • Distribution remedies. This would mean ending payments that “freeze the ecosystem in place,” including Google’s multi-billion-dollar payments to Apple and Android device makers.
  • Chrome divestiture. This would separate Chrome from Google – organizationally and financially. Chrome accounts for 35% of all Google search queries and drives “billions in Search revenue” (the actual number is redacted). The DOJ also pointed out that Google “underinvests” in Chrome.
  • Data remedies. This would require Google to share user-side data, search index coverage, and ad performance data – essential tools that help competitors train models, improve search results, and better compete.
  • Advertising remedies. This would increase transparency and control for advertisers, while helping rival ad platforms compete more effectively. Specifically, Google would be forced to:
    • Provide more information to advertisers in search query reports.
    • Let advertisers opt out of broad and automated keyword matching.
  • Anticircumvention provisions. This would establish a technical committee to monitor Google’s compliance.
    • This section includes a “contingent Android divestiture.” If competition hasn’t improved within five years, Google could be forced to spin off Android.

Why we care. If these remedies move forward, it could profoundly reshape how people access Google, how advertisers spend, and how competitors evolve in the search and generative AI markets.

Catch up quick. U.S. vs. Google antitrust trial: Everything you need to know

The opening slides. United States & Co-Plaintiff States v. Google LLC (redacted public version) (PDF).

What Google is saying. As you’d expect, Google called the DOJ’s proposed remedies “unnecessary and harmful” in a blog post.

Read more at Read More

New data: Google AI Overviews are hurting click-through rates

Two new studies agree: Google’s AI Overviews steal clicks from organic search results.

While Google told us that AI Overviews citations result in higher-quality clicks, the introduction of AI Overviews correlates with a measurable decline in organic visibility and clicks, particularly for top-ranking, non-branded keywords. That’s according to two new data studies from SEO tool provider Ahrefs and performance agency Amsive.

By the numbers. Here’s how AI Overviews have decreased click-through rate (CTR) for traditional organic listings, according to the two studies:

  • Ahrefs: A 34.5% drop in position 1 CTR when AI Overviews were present, based on an analysis of 300,000 keywords.
  • Amsive: An average 15.49% CTR drop, with much larger losses in specific cases (e.g., -37.04% when combined with featured snippets), based on an analysis of 700,000 keywords.

Non-branded keywords. AI Overviews are much more likely to trigger on non-branded queries, and these terms showed the largest CTR drops:

  • Amsive: -19.98% CTR decline on non-branded keywords.
  • Ahrefs: Focused exclusively on informational intent (99.2% overlap with AI Overviews).

Lower rankings = bigger CTR hits. Google’s AI Overviews push organic results further down, minimizing visibility even for solidly ranking pages.

  • There was a -27.04% CTR drop for keywords not in the Top 3 positions, according to Amsive:

AI Overviews benefit branded queries. Branded keywords are less likely to trigger AI Overviews (only 4.79%) – but when they do, they get a +18.68% CTR boost. This is possibly due to greater user intent and brand familiarity, according to Amsive.

Why we care. These two studies (as well as data from Seer Interactive, which we covered in Google organic and paid CTRs hit new lows: Report) call into question Google’s claim that AI Overviews get more clicks than traditional listings. Google’s claim may or may not be true, but these studies show that overall clicks have gone down – and many websites ranking well in Classic Search aren’t included in AI Overviews.

About the data:

  • Ahrefs: Used Ahrefs + Google Search Console (GSC) data to analyze CTR changes before (March 2024) and after (March 2025) the U.S. rollout of AI Overviews.
  • Amsive: Pulled data from 700,000 keywords across 10 websites and 5 industries to isolate patterns by keyword type, industry, and SERP feature overlap.

The studies. You can read them here:

Read more at Read More

Meta tags for SEO: What you need to know

Meta tags for SEO: What you need to know

Remember when meta keywords were all the rage? 

Fast forward to 2025, and while search engines have evolved dramatically, meta tags remain crucial building blocks of your SEO foundation, just not the ones you might remember.

You’re juggling countless priorities, so it’s tempting to view meta tags as “set it and forget it” HTML snippets.

But here’s the truth: properly optimized meta tags are still conversion-driving assets that both search engines and potential customers use to understand your content.

This guide cuts through the noise to spotlight the meta tags that actually move the needle – on rankings, click-through rates, and visibility.

Before we dive deep, here’s what you need to know:

  • Title tags and meta descriptions remain your most powerful meta elements in 2025.
  • With AI Overviews now prominent in search, robots meta tags have become crucial content governance tools.
  • Mobile optimization through viewport tags directly impacts your rankings.
  • Social meta tags drive significantly higher engagement when properly implemented.

What are meta tags?

You’ve heard about meta tags, but what exactly are they? 

Think of them as your website’s elevator pitch to search engines, invisible to visitors but critical for rankings.

These HTML snippets live in the <head> section of your code, quietly working behind the scenes to tell Google, Bing, and other search engines what your page is about, who should see it, and how it should appear in search results.

Meta tags remain one of the few direct communication channels between marketers and search engines. 

Despite all the algorithm changes we’ve seen, properly implemented meta tags still provide clear ranking signals.

Unlike the early 2000s when you could stuff keywords into meta tags and call it a day, today’s meta tags work as part of a sophisticated system that impacts not just rankings but also user behavior and conversion rates. 

They’ve become even more crucial with the widespread adoption of AI-driven search features like Google’s AI Overviews.

Meta tags every site must have

Title tag

If I could only optimize one meta element, it would be the title tag every single time. 

It’s the heavyweight champion of meta tags, appearing as the clickable headline in search results and significantly influencing both rankings and click-through rates.

Here’s what actually works in 2025:

  • Optimal format: Primary Keyword | Secondary Keyword | Brand Name
  • Character limit: 50-60 characters (Google typically displays about 600 pixels worth)
  • Psychology hack: Numbers and power words can entice clicks

I recently worked with a SaaS client who changed their homepage title tag from “Cloud-Based Project Management Software” to ” #1 Project Management Software for Remote Teams | Save 5hrs/Week”

The result? 

A 27% increase in click-through rate and a jump from Position 4 to Position 2 for their primary keyword. That’s the power of a well-crafted title tag.

But here’s what most marketers miss: your title tag doesn’t exist in isolation. 

It needs to work in harmony with your meta description to tell a compelling two-part story.

Meta descriptions

Think of meta descriptions as free advertising space. 

While they don’t directly impact rankings, they’re your best opportunity to convince searchers to click your result instead of the competition.

The most effective meta descriptions follow this proven formula:

  • Open with a benefit or promise that addresses search intent.
  • Include specific details that build credibility (numbers, stats, features).
  • End with a clear call-to-action that creates urgency.

For example, compare these two meta descriptions for the same article about email marketing:

❌ “This article discusses email marketing best practices for small businesses. Learn how to improve your email marketing strategy and get better results from your campaigns.”

✅ “Boost your open rates by 37% with these 7 proven email templates designed for small businesses. See how brands like yours are driving 2X conversions with our step-by-step approach.”

The second example is specific, benefit-focused, and creates urgency. 

Tip: Google now dynamically adjusts meta descriptions based on the search query, but don’t leave this to chance! Write compelling descriptions for your key pages, or Google might pull random text from your page that doesn’t convert.

Dig deeper: SEO for page titles and meta descriptions: How to win more clicks

Robots meta tag

The robots meta tag has evolved from a simple indexing control to a sophisticated governance tool for how your content appears in search, particularly in AI-generated results.

The most important directives you need to know:

  • index/noindex: Controls whether a page appears in search results at all.
  • follow/nofollow: Determines if Google should follow links on your page.
  • nosnippet: Prevents your content from appearing in featured snippets and from being used as input for AI Overviews.
  • max-snippet:[number]: Limits how much text can be used in snippets and AI Overviews.

This last point deserves special attention. 

With Google’s AI Overviews now answering many queries directly at the top of search results, you face a strategic decision: 

  • Do you want your content to be cited (potentially gaining visibility)?
  • Or do you want to drive direct traffic to your site?

For high-value content that answers specific questions, using max-snippet:50 can be a smart compromise.

You provide enough information to be cited in AI Overviews, but not enough for the AI to give a complete answer without the user clicking through.

Viewport meta tag 

With mobile-first indexing now the standard, the viewport meta tag is non-negotiable. 

This simple line of code ensures your site displays correctly on all devices:

<meta name="viewport" content="width=device-width, initial-scale=1.0">

This tag is so important because mobile usability is a direct ranking factor. 

Sites that force users to pinch and zoom on mobile can be impacted in search rankings, regardless of how valuable their content might be.

The strategy behind effective meta tags

Meta tags as the first impression

Your meta tags create the first impression in search results, before users reach your website. 

This first impression needs to accomplish three things:

  • Signal relevance: Clearly show that you’re answering the user’s query.
  • Build trust: Demonstrate expertise and credibility.
  • Create urgency: Give users a compelling reason to click now.

The most successful meta tags address all three of these elements simultaneously. 

Aligning meta tags with search intent

One of the biggest shifts in meta tag optimization is focusing on search intent rather than just keywords. 

Today’s successful meta tags specifically address one of these four intent types:

Intent type What users want Meta tag approach Example
Informational Learn something Educational tone, promise of insights “What is Growth Marketing: 7 Essential Strategies Explained”
Navigational Find a specific site Brand-forward, direct “Netflix Official Site – Stream Movies & TV Shows”
Commercial Research before buying Comparison terms, benefits “Best Running Shoes 2025: Compare Top Brands & Features”
Transactional Make a purchase Action terms, urgency “Shop iPhone 16 – Free Shipping & Returns Until Friday”

The key is matching your meta tags to what users actually want at this moment in their journey. 

This alignment signals to both Google and users that your content is precisely what they’re looking for.

Advanced meta tag techniques for 2025

Social meta tags

Social meta tags (Open Graph and X card tags) control how your content appears when shared on social platforms. 

With social platforms driving significant traffic, these tags are essential for comprehensive visibility.

The minimum social tags you should implement on every page:

Canonical tags

The canonical tag might not be visible to users, but it’s crucial for preventing duplicate content issues and consolidating ranking signals:

<link rel="canonical" href="https://yourdomain.com/definitive-url">

This tag is particularly important for:

  • Ecommerce sites with product pages accessible through multiple category paths.
  • News sites that publish similar content across different sections.
  • Sites with both www and non-www versions (or HTTP and HTTPS variants).

Data-nosnippet

One of the newest and most valuable tools in your meta tag arsenal is the data-nosnippet attribute. 

This HTML attribute lets you mark specific sections of content that you don’t want included in either traditional snippets or AI Overviews:

<div data-nosnippet>This content won't appear in snippets or AI Overviews</div>

This offers control, allowing you to protect your most valuable content, like executive summaries, key conclusions, or proprietary data, while still allowing other parts of your page to appear in search results.

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Measuring meta tag performance

How do you know if your meta tags are actually working? 

Here’s my three-step process for measuring and optimizing meta tag performance:

  • Track click-through rate (CTR): Use Google Search Console to identify pages with lower-than-expected CTR for their position. These are prime candidates for meta tag optimization.
  • A/B test critical pages: For high-value pages, create variations of your title and description tags to see which combinations drive the highest CTR. Even small wording changes can yield significant improvements.
  • Monitor impressions in AI Overviews: Track when your content is cited in AI Overviews and measure the impact on both direct traffic and brand awareness. This helps inform your robots tag strategy.

One test for a retail client of ours discovered that adding product prices directly in their title tags (“Men’s Leather Wallet – $49.99”) increased their CTR by 23% compared to titles without pricing information.

Common meta tag mistakes

Even seasoned marketers make these meta tag mistakes that can hurt visibility:

1. Duplicate meta descriptions across multiple pages

I recently audited a site where 62% of their product pages shared the same generic meta description. 

Google was forced to create its own snippets, resulting in inconsistent messaging and poor CTR.

The fix? Create unique, specific meta descriptions for each page, focusing on the unique value proposition of that particular content.

2. Keyword stuffing in title tags

It’s 2025, but I still see sites trying to cram every possible keyword variation into their title tags:

❌ “Best SEO Services, SEO Agency, SEO Company, Search Engine Optimization Services”

This approach looks spammy to users and triggers Google’s title rewriting algorithm, giving you even less control over your SERP appearance.

3. Missing or improper robots directives

With AI Overviews now prevalent, misconfigured robots directives can lead to either:

  • Valuable content being completely excluded from AI citations.
  • Proprietary information being fully exposed in AI summaries.

Review your robots directives quarterly to ensure they align with your current content strategy and business goals.

4. Ignoring mobile meta tag optimization

Title tags and meta descriptions appear differently on mobile devices, with even tighter character limits. 

Yet many marketers still optimize exclusively for desktop display.

Mobile optimization means:

  • Front-loading the most important information in titles and descriptions.
  • Keeping mobile meta descriptions under 120 characters.
  • Ensuring your viewport meta tag is properly implemented.

Meta tags and AI search: Preparing for what’s next

The rise of AI in search has fundamentally changed how we approach meta tags. 

Here’s how to position your content for success in this evolving landscape:

Strategic decisions about AI content usage

Every site now faces a critical decision: Do you want your content to appear in AI-generated summaries? 

There are valid arguments on both sides:

Allowing AI usage:

  • Gains visibility as a cited source in AI Overviews.
  • Positions your brand as an authority.
  • Creates multiple entry points to your content.

Restricting AI usage

  • Preserves direct traffic to your site.
  • Protects proprietary or premium content.
  • Maintains control over how your information is presented.

There’s no one-size-fits-all answer. Every brand should decide for themselves which aligns or take a hybrid approach.

Enhanced structured data integration

While not technically meta tags, structured data (schema.org markup) works alongside your meta tags to provide context to search engines. 

In 2025, implementing relevant schema markup is essential for:

  • Qualifying for rich results (ratings, FAQs, how-tos).
  • Providing clear entity signals to AI systems.
  • Enhancing the appearance of your content in both traditional and AI search results.

The sites seeing the most success in AI-driven search are those that provide both strong meta tag signals and comprehensive structured data.

Your 15-minute meta tag audit

Ready to put these insights into action? Here’s a quick audit process you can run right now:

  • Check your top 5 landing pages in Google Search Console for CTR outliers.
  • Verify that each page has a unique, compelling title and meta description.
  • Ensure your robots meta directives align with your AI content strategy.
  • Confirm proper canonical tags are in place, especially for similar content.
  • Validate that viewport and social meta tags are correctly implemented.

This simple process can help you identify quick wins to increase organic traffic within weeks, not months.

Smart meta tags power search performance

In 2025, meta tags are no longer just technical SEO elements; they’re strategic marketing assets that require thoughtful optimization.

The most successful marketers approach meta tags with three principles in mind:

  • User-first thinking: Write for humans first, algorithms second.
  • Strategic control: Make deliberate choices about how and where your content appears.
  • Continuous testing: Regularly measure performance and refine your approach.

As search continues to evolve with AI at the forefront, your meta tags will remain one of your most powerful tools for visibility, engagement, and control. 

The time you invest in optimizing them today will pay dividends in traffic and conversions tomorrow.

Read more at Read More

Google sends personalized growth plans to advertisers, pushing AI-driven solutions

Google Ads logo on smartphone

Advertisers are receiving step-by-step guidance emails from Google Ads aimed at improving campaign performance over a three-month period.

The details. Google Ads is sending emails with the subject line “Personalised action plan for growth” to business advertisers, according to an X post from Govind Singh Panwar.

The email contains:

  • A three-month structured improvement plan delivered through weekly emails.
  • A progress tracker showing completed and pending actions.
  • Clear calls to action focused on ad strength improvements.
  • Claims that improving ad strength from “Poor” to “Excellent” results in an average 12% increase in conversions.

AI suggestions. The guidance pushes advertisers toward Google’s preferred strategies, including:

  • Enabling “personalized recommendations” (Google’s AI suggestions).
  • Adding broad-match keywords (which typically increase ad spend).
  • Creating Performance Max campaigns (Google’s black-box AI campaign type).

Why we care. The email campaign essentially represents Google’s effort to standardize advertiser behavior while framing it as personalized guidance. These “personalized” plans appear somewhat templated, potentially leading to more homogenized advertising approaches across competitors.

However, as more advertisers follow these guidelines, those who don’t may see performance impacts as Google’s algorithms increasingly favor accounts aligned with their recommended practices.

Bottom line. While positioned as personalized guidance, the recommendations follow Google’s standard playbook for increasing advertiser adoption of its automated solutions and broader targeting options, which typically require larger budgets.

Read more at Read More

AI agents in SEO: What you need to know

AI agents in SEO: What you need to know

You’ve probably been hearing a lot about AI agents lately – whether in your workplace conversations or scrolling through your social feeds (hopefully both). 

While there’s no shortage of articles discussing their general benefits, there’s surprisingly little coverage on what they mean specifically for SEO – where their impact is not just significant, but amplified.

Before we dive into the two key reasons AI agents are so important for SEOs to understand (and yes, you’re probably already using them – even if you don’t realize it), let’s first get clear on what AI agents actually are.

What are AI agents?

At their core, AI agents are autonomous systems equipped with access to external tools, data, functions, and more. 

They operate with a clear understanding of an end goal and are provided with the resources needed to achieve it.

In some cases, they’re also given instructions on how to use those tools. In others, they’re left to figure it out on their own.

Rather than diving into a chart or technical diagram of a sample agenting system, I think a simpler – and surprisingly accurate – illustration can be found in one of nature’s most complex yet overlooked lifeforms: the humble ant.

Ant colony and AI agents

Imagine an ant colony: the queen, much like a master AI algorithm, sets the overarching goal. The worker ants – each equipped with their own specialized tools – are the individual agents tasked with specific functions.

Consider the parallels:

  • Queen = Agent operator: Directs and adjusts the overall strategy.
  • Worker ants = Sub-agents: Each has a specialized tool or function, whether it’s gathering data, analyzing content, or communicating findings.
  • Colony efficiency = System optimization: As ants work together, the system optimizes resources and information flow, mirroring how AI agents coordinate to achieve complex tasks.

The queen communicates the goal to each “tool,” which each ant then tries to accomplish. 

They return with their requested resource, communicate and assess their status, share information to accomplish their macro goal faster and report back. 

An overall status is reported to the queen, who communicates adjusted commands to her tools.

This is not all that different from an AI agent, other than being generally more sophisticated (though not as impressive to us, as it only sustains a species and doesn’t automatically make a stock trade 56 nanoseconds faster after catching a new trend and applying the sentiment as positive).

I’ll poorly parallel this to AI agents below.

But before I do that, let me answer why one of my assertions above is true. 

Why the impact of AI agents in SEO is multiplied many times over most other professions

I can’t think of an industry that won’t be touched by agents, at least indirectly. 

  • Lawyers will use agents to look up and summarize judgments and analyze loopholes used for their clients.
  • Software engineers will use them to assist in developing code and systems, referencing their internal docs, repos, and external knowledge.
  • Bakers will receive their ingredients through shippers coordinated using agents.
  • SEOs will use them as tools to do their jobs faster and better – as I’ll illustrate below.
A cartoon ant holding a microphone

On top of that, we also need to learn and adapt to marketing into agentic systems.

Generative engine optimization (GEO) entered the scene not that long ago. 

But what it is evolving into is something different — something far more powerful. 

Something that takes us past optimizing for an algorithm, even one driven by an LLM like AI Overviews or ChatGPT, and into optimizing for agents, their functions, and their tools.

We’re seeing this evolution in its toddler years right now, and if you’re on the ground floor, that’s a great place to be. 

While there are exceptions, for the most part, generative engines are performing a lot like search engines in their presentation of solutions.

  • The user enters a query.
  • The user receives a reply.
  • That reply might have a few links in it.

Sure, the system might check on the web for additional references outside of its current knowledge base, but nothing revolutionary. 

Again, it functions a lot like traditional search with a better user experience. 

I expect the next steps in this evolution will be gradual, as tools like Google and ChatGPT add new capabilities – such as the recently announced feature where an AI-driven system can call a store to gather additional information for you.

However, new pieces will gradually fall into place until we reach a point where providing your agent with insights into your goals or needs will trigger actions in ways we likely can’t fully understand yet.

Here’s a simple example.

You give the Google agent (for example) your goal, want, or need. 

Let’s say you need new shoes for a wedding. The agent can then:

  • Check your calendar for the wedding date.
  • Check the weather in that city on that date, or likely weather based on the time of year if specifics are unavailable.
  • Ask what you’ll be wearing.
  • Knowing your size, general style, and preferred brands and stores – source options that will arrive in time for the wedding.
  • Source and store a local backup, in case something goes wrong with the delivery or fit, to have that information ready in case it detects a problem.
  • Ask if you would like to see the options:
    • If yes, send them to a display of your choosing.
    • If not, move on to the next step.
  • Once the shoe is selected, complete the order.
  • Check what other common items might be needed for weddings, based on your status at it (guest, best person, bride or groom, etc.), and optionally send an email list of these to you if it doesn’t have evidence these are completed.

Imagining this world, I have a couple of questions for you:

  • How do you attribute that to Google?
  • Was it their crawler that surfaced the information to them? What kind of optimization does that take with LLMs?
  • Was it a product feed through Google Merchant Center?
  • Did they use an operator to navigate your site to get to it? Is there optimization you need to apply to filters to simplify that?
  • If you sell umbrellas, how do you ensure you’re part of those emailed suggestions from earlier in the event that it’s going to rain.
  • Oh, and how do you even get attribution for that?

This simple example highlights the immense complexity of what lies ahead. 

New technologies will emerge that companies and teams will need to adopt and optimize. 

Additionally, with the development of new protocols like Anthropic’s Model Context Protocol (MCP), adding your store’s feed to a marketplace – or even creating your own tools for other agents to use – will become much easier. 

This opens the door to greater distribution, though it may come with challenges like difficult attribution and untested effectiveness. 

The question is: 

  • Do you really want to wait and see if your competitors dive in first, or will you seize the opportunity now?

While I can’t predict the exact shape of the marketing world in the next two weeks, let alone a year from now, I can confidently say that we’ve already entered the agentic era. 

The rate of adoption and development in this space is unlike anything I’ve seen in over two decades of online marketing.

It’s even more disruptive than the changes brought on Google’s Panda and Penguin updates.

A red ant plus small pandas and penguins

Dig deeper: From search to AI agents – The future of digital experiences

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SEOs and GEOs use agentic AI, too

And on the other side of the coin, we also have SEOs using their own agentic systems.

As an example, I’ll share an agenting system I created to help generate article outlines for authors at Weights & Biases. 

What started as a simple replacement for a script I had previously written for the same task has since evolved. 

I’ll also highlight a few upcoming expansions to better illustrate the potential of AI agents.

This agentic system begins by asking the user for five things:

  • The primary phrase they are hoping to rank for with an article.
  • Any secondary terms.
  • The type of article they were writing.
  • The title (if they have one in mind).
  • The author.

It uses this information to inform the other agents within the system what to do and what data to access.

I’ve created several agents and data sources for the agent to access. 

The main ones (including a few still being finished after some testing) are:

A search agent

This agent has access to Google search and removes social platforms, which tend to block our web scrapers.

An analysis agent

This agent does a few things:

  • Extracts the entities from the pages using Google’s Natural Language API.
  • Summarizes content.
  • Extracts questions from the content.

I’ll likely separate these into their own agents as I expand the capabilities, but combining them works well in the current iteration.

A data store of examples

For each author, I created a folder with 10 markdown files that include:

  • The inputs they provided (primary phrase, secondary terms, title, etc.).
  • The outlines generated by the system.
  • The final outlines I handed off after manual editing.
  • The first paragraphs from the published articles, based on my criteria for how section intros should read.

This collection trains the agentic system to understand each author’s preferred structure and tone. It also helps suggest first paragraphs that align with their writing style.

I log all of this – inputs, extracted entities, questions, and outlines – to W&B Weave to monitor performance and guide improvements.

An outline agent

This agent takes in the information from the user, the search results, entities, questions, and summaries and generates an article outline.

Coming soon

Some agents I’m adding in presently are:

  • A keyword agent that will have access to the Google Ads API to get additional keyword ideas and search volumes.
  • A social listening agent that will monitor social channels for trending topics and auto-generate and outline when one crosses a threshold of likely importance.
  • A Slack/email agent: When an article outline is generated automatically, the agentic system will inform me – including a list of notable people talking about the topic and a summary.
  • A competitor agent that will check to see if known competitors are ranking for the content and send them to me with the outline.

I’m sure there’s more to come. (I considered waiting until everything was finished before writing this, but new ideas keep popping up, and this article would never get written.)

You should (and can) build agents too

I’m not alone in developing agents, and while some SEO tools claim to be agentic, I haven’t found any worth paying for yet. 

The real benefit of building agents is that they help me understand the environment I’m marketing in. 

If you want to try developing one, I’ve used obot.ai, which is simple and great for creating basic, useful agents for various tasks.

Big thanks to Marc Sirkin, CEO of Third Door Media, for introducing me to it. 

At the very least, it’ll give you a feel for how agents work, which is a big advantage over competitors who don’t understand what’s happening behind the scenes.

Read more at Read More

How and why to ‘be the primary source’ for organic search

How – and why – to ‘be the primary source’ for organic search

“Just Google it” – ah, so 2021. 

These days, organic search and discovery – although still largely conducted on Google – have fanned out to many sources, with user behavior more multi-layered and dynamic than ever.

SEO professionals these days need to follow course.

Consider a user who: 

  • Starts by watching a TikTok video of a runner boasting about hitting a new PR with the help of a coach.
  • Then does a top-of-funnel search on Perplexity (“what does a running coach help with”).
  • Then hits Google for a search of online running coaches.
  • Then browses a list of sources from AI Overviews.
  • Then hits up a running community on Reddit to ask about peoples’ experiences with one coaching organization or another.

Doesn’t sound like it’s all about keywords anymore, does it?

Instead, we’ve been helping clients establish themselves as the primary source on a topic. 

That means showing up wherever users are looking for relevant information – while also building brand awareness as the subject matter expert.

The picture is changing quickly, so rather than chasing channels and keywords, we’re focusing on understanding and adapting to user behavior (with some healthy analysis of emerging platform trends thrown in). 

Here’s my take on what SEOs need to do to thrive in the age of diversified organic search.

Broaden your channel focus

Expand your focus beyond traditional SEO.

Understand how community-driven platforms (like Reddit and TikTok) and other emerging AI tools are impacting consumer search behavior. 

This means tracking search trends across various channels, not just focusing on Google.

These channels will vary by vertical. (If you’re not completely up to speed on what’s feeding your site traffic, make sure you’re setting up and referencing referral reports in Google Analytics.)

The stakes are high here.

Failing to adapt to these new search behaviors could lead to missed opportunities and a disconnect with target audiences, especially younger consumers.

Dig deeper: Beyond Google – How to put a total search strategy together

Know where your users are going for info – and what kind of info they’re looking for

Where are your users going, and what are they trying to find? 

That’s a much more complicated question than it was a few years ago. 

What your users are looking to learn on Reddit is very different from TikTok (whose algorithm is much more top-of-funnel/discovery-focused). 

And even LLMs and Google are used for fairly discrete behaviors.

The broad “how to do x” and “what is” questions might not be as effective on Google. 

Still, that’s probably what gets cited the most in AI search or large language models (LLMs). 

Consider creating a matrix of funnel intent by channel and crafting content accordingly. 

Track how your strategy works and adjust as you go.

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Stay in touch with the algorithms

Staying on top of shifting user behavior is the biggest priority right now in organic search.

However, that doesn’t mean you can afford to ignore how newer platforms are ingesting content.

The question I get most (by orders of magnitude) these days is about AI search and LLMs (which operate by predicting the next few words or phrases that connect to a topic). 

One way to boost your chances of citation is to position your brand name as close to your industry or solution as frequently as possible – whether that’s in earned, owned, or even strategic paid content.

For instance, if you have a great piece of content that’s getting organic traction, consider syndicating it.

It’s also a good idea to reverse-engineer this by:

  • Analyzing which sources/citations are being used in AI search responses.
  • Angling to get your brand covered there.
  • And/or creating similar kinds of content.

Last, scour those trades (including this one) to find AI search guidance from experts and tidbits provided by the AI search models themselves on influential ranking factors – like this one from Microsoft on Copilot.  

Dig deeper: Your 2025 playbook for AI-powered cross-channel brand visibility

Provide (even more) value

What could your company produce for thought leadership that might get picked up by the top outlet in your vertical? 

Proprietary research, a well-informed perspective from a company leader, or data that introduces a fresh narrative – any one of these can outperform hundreds of formulaic content pieces that flood your vertical.

Publishing content that supplements E-E-A-T principles with effort, originality, and value (my favorite content descriptors these days) does more than catch media attention.

(This is more important now than it was pre-LLMs.)

This type of content has the potential to transcend platforms by associating your brand with leadership within your vertical.

You may begin to see it cited in communities, forums, and social channels as users (not just algorithms) reference it organically.

Define your lane

The topic clustering strategy is still extremely relevant in this search era, and with that comes the frequent question of just how far you should expand that cluster. 

My take: owning your sphere and updating it as needed is better than expanding to less relevant subjects. 

Here’s an example of what that might look like:

Owning your sphere

Stay nimble

We’ve never seen the organic scene change this rapidly. 

  • Do your best to keep your finger on the pulse of newer algorithms, emerging platforms and communities, and shifting user behaviors.
  • Update and track your KPIs accordingly.
  • Make sure you’re including an action-oriented “so what” step that follows this regular analysis.

Whether you’re in-house or at an agency, remember that educating your colleagues about what’s changing is more than just providing value in your role.

It’s being proactive about aligning on strategic shifts you’ll need to make down the road. 

Dig deeper: 6 easy ways to adapt your SEO strategy for stronger AI visibility

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Google AI Overview-organic ranking overlap drops after core update

AI Overviews are now less likely to cite pages that rank in Google’s top 10 organic positions, according to new BrightEdge data. This change was observed following Google’s March 2025 core update.

By the numbers. The overlap between AI Overview citations and Google’s top 10 organic positions dropped from 16% to 15% following the March 2025 core update. Shift by industry:

  • Travel industry: 6.6 percentage point increase in regular result citations (from 12.9% to 19.5%).
  • Entertainment: 4.9 percentage point increase (from 8.8% to 13.7%) for movie queries.
  • Restaurants: 4.6 percentage point increase (from 9.5% to 14.1%) for dining content.

Why we care. Tens of millions of searches per day now feature AI-generated summaries that don’t cite the highest-ranked results from organic search. The good news? Pages ranking outside Google’s top 10 positions now have a better shot at being cited in AI Overviews.

But. This appears to be a major shift in how Google is synthesizing information via its AI-generated answers. The change could pose new visibility and attribution (and even more rank tracking) challenges. Other ongoing challenges:

The big picture. Google’s John Mueller confirmed that Google AI Overviews are impacted by core updates. BrightEdge’s latest finding seems to be further confirmation of that. Mueller said last August:

  • “These are a part of search, and core updates affect search, so yes.”

What to do? Here are two areas to focus on, according to Jim Yu, founder and executive chair of BrightEdge:

  • Create complementary content that answers the next logical question(s). Your content addressing follow-up questions now has better chances of being cited even if it doesn’t rank in the top 10 regular results.
  • Don’t choose between ranking well or appearing in AI Overviews – aim for both. Track your presence in both areas to get a complete picture of your search visibility.

What’s next. We will continue to watch how Google’s AI Overviews and core updates impact organic traffic (that “necessary evil” which makes it possible for websites to exist and Google to have all the fresh, helpful content it needs).

Dig deeper. Google AI Overviews spiked during March 2025 core update

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