How Performance Marketing + Brand Fuels Traffic Growth And Conversions [Webinar] via @sejournal, @hethr_campbell

Building a brand that fuels trust, loyalty, and long-term value is no easy feat. But with the right strategy, your brand can become the cornerstone of a high-performing marketing campaign that drives real results.

On January 16, 2025, at 2 pm, join us for an exclusive live webinar, How Performance Marketing + Brand Fuels Traffic Growth And Conversions.

Mordy Oberstein of Unity and SEJ’s Editor-in-Chief Katie Morton will dive deep into the vital connection between branding and performance marketing, sharing actionable insights that you can use to boost traffic and conversions right away.

Why This Webinar Is A Must-Attend Event

Creating a brand that inspires loyalty and maximizes conversions isn’t just about being seen—it’s about building a lasting impression.

With expert insights and real-world case studies, this webinar will empower you to elevate your brand’s impact and refine your performance marketing strategy.

Here’s what you’ll take away:

  • Proven tactics to extend Customer Lifetime Value and drive customer loyalty.
  • Insights into performance marketing trends—what users are searching for and how to capture their attention.
  • Case studies from industry leaders highlighting branding successes (and mistakes).
  • Why branding is the great equalizer in today’s crowded digital landscape—and how it can become your most effective driver of clicks and conversions.
  • Expert Insights From Mordy Oberstein and Katie Morton

Mordy and Katie will lead this discussion, sharing their expertise on creating brand synergy, increasing brand search volume, and using branding as a powerful tool for performance marketing success.

You’ll leave with actionable tips and strategies to ensure your brand stands out in 2025 and beyond.

Who Should Attend?

This webinar is perfect for:

  • Marketing leaders looking to maximize the impact of their branding efforts.
  • Performance marketers aiming to align branding with measurable results.
  • Business owners who want to cultivate loyalty and increase Customer Lifetime Value.

Live Q&A: Get Expert Advice

Stick around after the session for a live Q&A with Mordy and Katie, where you’ll have the opportunity to ask your burning branding and performance marketing questions.

Can’t make it live? Don’t worry! Reserve your spot, and we’ll send you a recording to watch on your own time.

Don’t miss this opportunity to revolutionize your branding strategy and drive better results in your performance marketing campaigns.

Reserve your seat today!

News SEO In 2025: What You Need To Know via @sejournal, @MattGSouthern

NewzDash’s latest survey of 100 news publishers and SEO professionals offers a snapshot of where news SEO is headed.

The findings highlight emerging trends, challenges, and strategies to stay competitive.

From Google Discover’s growing role to tackling AI-driven search disruptions, here’s what industry pros need to know.

Top Takeaways

Google Discover

Google Discover is a key traffic driver for publishers, but results are mixed:

  • 52% of respondents rank Discover as a top priority for 2025.
  • 56% reported traffic increases from Discover in recent months, while 21% saw declines.

AI’s Impact

AI-driven features are shaking up the search results pages (SERPs):

  • 39% see Google AI as a threat to traffic, while 43% are still unsure of its impact.
  • Due to AI changes, 32% reported adverse effects on visibility and click-through rates.

Content scraping by AI platforms is also a growing concern:

  • 32% allow scraping, 29% selectively block platforms, and 11% block them entirely.

Publishers are trying different strategies to protect their content from being scraped, including paywalls, structured data, and legal policies.

Top Challenges

The biggest hurdles for SEO teams include:

  • Budgets: 34% struggle with limited funds for tools and resources.
  • Skills Gap: 24% cite a lack of advanced SEO expertise within teams.
  • Tools: 17% report a lack of specialized SEO tools for news publishers.
  • Hiring: 13% say finding skilled SEO talent is difficult.

Budget constraints are particularly notable:

  • 45% operate with less than $1,000/month for SEO tools.
  • 13% have no budget at all, relying on free resources.

Lean Teams

Most SEO teams are lean, often handling multiple brands or websites:

Team Sizes:

  • 44% have 2–5 members.
  • 34% have just one person managing everything.
  • Only 11% have teams of 10+ members.

Workload:

  • Each team member manages an average of 4.5 brands or websites, with a median of 3.

Organizational Placement:

  • 32% work closely with editorial teams, while 22% are part of marketing.
  • 19% report to product/engineering teams, and only 5% operate as standalone SEO teams.

Editorial Collaboration

Bridging the gap between SEO and editorial teams remains critical:

Training:

  • 55% offer only basic SEO training to editorial teams.
  • 27% provide regular workshops, and 14% offer advanced training.

Buy-In:

  • 45% say editorial teams actively follow SEO recommendations.
  • 52% report partial buy-in, while 3% say editorial teams ignore SEO advice.

Involvement:

  • 64% of SEOs are involved in daily editorial operations.
  • 22% focus on major events or tentpole content.

Publishers with tightly aligned SEO and editorial teams are more likely to see success in implementing SEO recommendations, especially during high-stakes events like breaking news.

What’s Next for 2025?

Looking ahead, News SEO professionals are focusing on:

  • Google Discover: Technical and creative strategies to maximize traffic.
  • AI Adaptation: Staying ahead of AI-driven search changes.
  • Diversification: Reducing reliance on traditional search traffic.
  • Cross-Team Collaboration: Aligning editorial, product, and SEO efforts.

Who Took the Survey?

Participants came from diverse backgrounds, with varying levels of experience and roles:

Experience:

  • 34% have 1–4 years in News SEO, bringing fresh ideas.
  • 29% have 10+ years, offering deep expertise.
  • 37% fall in the 5–10 years range, blending experience with innovation.

Roles:

  • 40% are managers, 31% specialists, 18% directors, and 11% VPs or C-suite execs.

Regions:

  • 38% focus on Europe, 31% on North America, and 31% on other regions (Asia, Latin America, Africa, or multi-regional markets).

Team Types:

  • 83% work in-house, while 17% rely on agencies or freelancers.

In Summary

The 2025 News SEO Survey highlights the need for agility and adaptation to challenges like AI and platform changes.

For news publishers, success in 2025 will come down to having a solid strategy, working together, and being innovative.


Featured Image: Accogliente Design/Shutterstock

11 SEO Tips To Boost Your Restaurant Visibility In Search via @sejournal, @coreydmorris

Being successful with restaurant SEO can be a challenge.

Whether it is finding the time, wearing a lot of hats, or not having the same type of budget and return on investment (ROI) measurement as other industries, you might be in a tough spot trying to figure out how to get it done.

No matter what your situation is or your starting point, there are specific strategic and tactical things you can do that will help move your brand forward and increase your online visibility and engagement through SEO.

There are 11 specific things that are important for restaurant SEO that I’ll unpack in this article to help you focus your time on what matters.

1. Define Your SEO & Content Strategies

Before jumping into a myriad of tools, platforms, and engagement channels, define your SEO strategy. This will help to greatly narrow your competition and give you a quicker path to driving quality traffic to your website.

Start by defining the geographic area you want to own (where most of your customers will come from because they either live or work nearby, or are visiting).

Next, research what keyword terms and phrases your audience uses through a trusted keyword research tool like Ahrefs, Moz Pro, Semrush, or others.

To learn more on how to do keyword research, read this keyword research guide.

There are a few distinct groupings of terms that you want to group and classify properly, and they all have different levels of competition.

High-Level Restaurant Terms

Terms like “restaurants” and “Kansas City restaurants” are some of the most generic variations a searcher might use.

In the keyword research tools (each tool will vary on locality options), you can set your geographic focus to the area you identified and use both the generic term by itself (“restaurants”) and geographic modifier (“Kansas City restaurants”), as well as other general variations related to what your restaurant is about.

Also, don’t forget about voice search terms and variations of things like “restaurants near me” that will rely on location settings and the context of the search engine to return results for the searcher that you likely want to be included.

Niche-Specific Terms

The next level relates to the specific categories your restaurant would fall into.

Examples include “Mexican restaurants,” “pizza,” “romantic restaurants,” and other unique features and types of cuisine.

If you’re struggling with what specific categories or wording you should use, take a look at Google Maps (the Google Business Profile listings), Yelp, and TripAdvisor.

Use their filtering criteria in your area to see the general categories they utilize.

Brand Terms

Don’t take it for granted that you’ll automatically rise to the top of brand searches. Know how many people are searching for your restaurant by name and compare that to the high-level and niche-specific search volume.

Ensure your site outranks the directory, reservation (if applicable), and social sites in your space for your restaurant, as the value of people coming to your site is higher and trackable.

Once you’re armed with search terms and volume data, you can narrow your focus to the specific terms that fit your restaurant at high, category-specific, and brand levels.

Covering this spectrum helps you focus on what to measure and define your content.

2. Dominate In Local Search

To dive into local search, start by claiming, standardizing data, and optimizing listings for your restaurant across all of the major and relevant local search properties.

This includes a mix of search engine directories, social media sites, and industry-specific directory sites.

Moz Local and Yext are two popular tools (there are many available, though) that can help you understand what directories and external data sources are out there, and then you can ensure they are updated.

Accurate NAP (name, address, phone) information that is consistent across all data sources is a critical foundational element of local SEO.

Beyond that, you can then work on optimizing the fields of information, like the business description and business categories, to align with your focus terms identified in your keyword research.

Put your focus on the directories that matter.

Start with Google Business Profile, then branch out to Yelp, TripAdvisor, and other restaurant-specific directories and data sources. Some of them could be obscure, niche-specific, or not seem very significant, but they add up.

Set reminders or tasks to come back to your Google Business Profile on a regular basis to update content, including photos, specials, and offers, and to monitor engagement and review activity (more on both of those topics below).

All of this will work together to grow your online visibility.

3. Engage With Customers On Social Media

Even though social media’s direct impact on SEO has long been debated, we know that social media engagement can drive users to your site.

Social media can be a powerful touchpoint of the customer journey, showcasing what customers can expect to experience at your restaurant.

A strong social presence often correlates with a strong organic search presence as content, engagement, and popularity align with the important SEO pillars of relevance and authority.

Develop a social media strategy and follow through with implementation.

Make sure to engage with followers and reply to inquiries promptly. How you communicate online sets a perception of your overall customer service and approach.

Find your audience, engage them, and get them to influence others on your behalf.

Ultimately, through engagement with fans and promoting content on social media that funnels visitors to your main website, you will see an increase in visits from social networks.

This will then correlate with the benefits from the rest of your SEO efforts.

4. Encourage Reviews & Testimonials

It’s nearly impossible to do a search for a restaurant and not see review and rating scores in the search results. That’s because people click on higher star ratings.

Reviews are often considered part of a social media strategy and are an engagement tactic, but have a broader impact on traffic to your site through search results pages as well.

Through the use of structured data markup, you can have your star ratings appear in search results and provide another compelling reason for a user to click on your site versus your competitor’s.

If you have online ratings that don’t reflect the quality of your restaurant, come up with a review strategy now to get as many reviews as possible to help bring up your score prior to implementing the code that will pull the ratings into the SERPs.

A higher star rating likely means a higher click-through rate to your site – and more foot traffic.

5. Create Unique Content

If you have a single location, your job is a lot easier than the multi-location local or national chain.

However, you have to stand out from the competition by ensuring you have enough unique content on your website.

Having a wealth of engaging and helpful content on your site will serve you well if it is valuable to your prospects and customers. Building a strong brand will translate to better rankings, higher brand recall, and greater brand affinity.

Keep in mind that content doesn’t all have to be written copy; you can present your menus, in-house promotions, and more through video, photography, and graphics.

The search engines are focused on context and not just the keywords on your site.

By identifying and regularly generating new content, you also can keep the pipeline full of engaging material that helps you stand out from your competition.

For example, if you have a niche restaurant, embrace that and set yourself apart from the generic chain down the street (no offense if you own, operate, or do marketing for a chain – you have a different challenge of scaling your efforts).

Share information about the founders, the culture, and most importantly – the product.

Give details about your menu, including sourcing of ingredients, how you developed recipes, and the compelling reason your chicken marsala is the best in town.

6. Consider Content Localization

Again, single-location restaurants have an easier road here. Based on decisions you’ve made about your market area, make sure you provide enough cues and context to users and the search engines as to where your restaurant is and what area it serves.

Sometimes, the search engines and out-of-town visitors don’t fully understand the unofficial names of neighborhoods and areas.

By providing content that is tied into the community and doesn’t simply assume that everyone knows where you’re located, you can help everyone out.

One example of this is a 100-location chain that started small with a single paragraph for each location written in a way tailored to the store, local history, neighborhood, and community engagement.

From there, we were able to find other areas to scale, and it worked well to differentiate stores from each other.

When it comes to nuanced and potentially confusing location names and context, addresses can be misleading. Think about how Google will handle those.

These are important factors to consider so you aren’t trying to have a location compete with too broad of a geographic area for search rankings.

7. Apply Basic On-Page SEO Best Practices

Without going into the details of all on-page and indexing optimization techniques, I want to encourage you not to skip or ignore the best practices of on-page SEO.

You need your page to be indexed to ensure you have the potential for visibility and on-page SEO to ensure the proper classification of your content.

You can spend a lot of time on a full SEO strategy, but if you’re just getting started, I recommend putting the rest aside and starting with these two areas.

To ensure your site is crawled and indexed properly now and in the future, check your robots.txt and XML sitemap. Set up Google Search Console to look for errors.

When it comes to on-page, ensure that you have unique and keyword-specific page URLs, title tags, meta description tags, headings, page copy, and image alt attributes.

This sounds like a lot, but start with your most important pages, like your home, menu, about, and contact pages, and go from there as time permits.

8. Think Mobile First

Mobile accounts for a high percentage of visits to restaurant websites. Google now crawls the mobile version of a website to understand its content.

Hopefully, you have a responsive website or one that passes the necessary mobile-friendly tests.

But that’s just the beginning when it comes to mobile.

It’s also critical to think about page load speed and providing a great mobile user experience.

9. Implement Schema “Restaurants” Markup

Another area where we can build context for the search engines and gain exposure to more users in the search results is by using structured data.

In the restaurant industry, implementing the Schema.org library for restaurants is a must.

This task requires a developer, website platform, or content management system with the right plugins or built-in options.

10. Measure Your Efforts

This could have been tip No. 1, but I’m including it here, as it is important throughout the process. With the previous nine tips, there’s something to do and implement.

But before you embark on any aspect of optimization, make sure those efforts are measurable.

When investing in your strategy, you want to know what aspects are working, which ones aren’t, and where your efforts were (and are) best producing a return on investment.

Track visibility, engagement, and conversion metrics as deep as you can connect them to your business.

Beyond that, you’ll need to identify the right progress metrics tied to goals to know you’re moving in the right direction.

11. Don’t Ignore AI

This is less of a specific recommendation or tactic and more of a wide-reaching one. AI provides a lot of opportunities to scale content, create efficiencies, and do more with less.

Whether you’re leveraging AI tools natively, using SaaS products to help you research, optimize, and measure efforts, or relying on things like AI Overviews in Google to engage with users in search, it is hard to ignore.

Know that while AI is helpful to further scale efforts and be where searchers are finding content, you don’t want to abandon your brand or generate content that is clearly generic and not human-generated.

Don’t ignore AI, but use it with care to avoid losing out on the unique value important for search and searchers for your restaurant.

Restaurant SEO Matters For Visibility And Traffic

There are unique challenges for restaurant SEO. However, if you can dedicate the time and effort to a strategy and follow through on tactics and measurement, it can be highly rewarding and profitable as well.

While you might not be able to directly attribute SEO performance to ROI for restaurant SEO, you can find correlations between a stronger brand presence and visibility and volume in your location(s).

I encourage you to nail down your strategy and dedicate focus to the tactics to see it through.

More Resources:


Featured Image: PeopleImages.com – Yuri A

SEO Keyword Research: 18 Of The Biggest Mistakes You Must Avoid via @sejournal, @sejournal

You can’t talk about SEO without mentioning keyword research.

Most SEO marketing campaigns start with keyword research. (Or at least they should).

If you haven’t upped your keyword research game, you could be holding your campaigns back and costing you (and your clients) cash.

Let’s look at 18 keyword research mistakes you might be making – and what to do instead.

1. Ignoring Search Intent

Too many people focus on search volume and forget about the why.

Why are people using a specific keyword?

What does that term tell you about what that person is looking for?

Most importantly, what is the point of ranking No. 1 for a term that doesn’t actually lead to any sales?

Rather than focusing on how many people use a search query, focus on search intent or the reason why someone is searching.

User intent breaks down into two things:

  • Figuring out what users who come to your pages want to consume.
  • Making your content the best option for those users.

So, let’s say you sell new Nike shoes.

There’s not much point in targeting [how to clean Nike shoes] because those people likely aren’t ready to buy; they are looking to take care of the shoes they already have.

Screenshot from search for [how to clean Nike shoes], Google, December 2024.

Rather, you’d want to focus on [buy Nike shoes near me] because that searcher is clearly ready to buy.

Granted, you could use [how to clean Nike shoes] to build trust and catch those buyers later, but that needs to be done intentionally.

2. Allowing Clients To Choose Keywords

One of the biggest keyword research mistakes of all is failing to do keyword research at all.

We’ve all had that client who wants to “help” by telling you what keywords they want to target. Unfortunately, those terms are often too broad, don’t match search intent, or are too competitive to even bother with.

That client list should be a starting point, not an endpoint.

A lot of business owners (and even SEO marketers) think they know what searchers are looking for, but keywords should be based on data, not vanity or gut instinct.

3. Forgetting To Look At The SERPs

There are plenty of powerful keyword research tools that make keyword research so much easier.

You can dig deep into data, look at historical trends, even see what your competition is ranking for.

It’s solid, useful data.

However, there can be too much of a good thing.

Many marketers spend so much time diving deep into research tools that they forget to look at the one place that really matters – the SERPs.

Don’t let tools take over the entire keyword research process. Take the time to see what type of content is ranking for your top terms and use that to inspire your campaigns.

4. Aiming For One Keyword Per Piece Of Content

Some SEO marketers only target one keyword per piece of content.

Google is getting better at understanding context, which means optimizing for just one keyword per post is a thing of the past.

Rather than targeting a single keyword, look for related terms that support the main term.

For example, a post about keyword research should also target related terms like keyword research tools.

Just keep in mind this shouldn’t be forced – only use related terms that make sense for your content.

5. Targeting High-Volume Keywords Only

What metrics do you look at when considering what keywords to target?

If high-volume keywords are your go-to for finding the right keywords, you could be missing out on better options.

Why?

Because high volume often ignores user intent, which we’ve already talked about.

Plus, high-volume terms are highly competitive. It’s hard to stand out when you go after the same key terms as everyone else.

This is widely recognized as a way not to do SEO:

Don’t forget to look for mid-volume keywords that match search intent – they are easier to rank for and cheaper to bid on.

6. Avoiding Long-Tail Keywords

Long-tail keywords often have a lower search volume, which turns some marketers away. That’s a mistake you can’t afford to make.

Sometimes, low search volume is a good thing. Lower volume key terms are often further in the sales funnel, meaning the user is much closer to making a purchase.

Using various contextual keywords can also ensure you cover a topic more broadly and are more likely to provide visitors with the content they need to convert.

7. Not Talking To Your Customers

Sometimes, the terms we use to talk about our product or service aren’t the same terms our customers use to talk about our product or the problems they face.

In addition to using keyword research tools, it’s critical to talk (and listen) to what your customers say.

Pay attention to how they describe their challenges, the solutions they find, or what types of products they want.

Look at reviews and social media posts, and listen to customer service calls to find the words and phrases customers use to talk about the challenges they face and the solutions they’ve tried.

For example, you might call your tool a “website visitor tracking tool,” but if your customers don’t know what that means, you won’t gain any traction.

8. Going Back To Insert Keywords

Some SEO marketers seem to think creating content for users means ignoring SEO until the end.

After all, can’t you just go back and add the keywords Google wants once the content is done?

Don’t try to go back and “SEO” a post after the writing is complete.

Instead, keyword research should be done before a topic is even picked, and terms should be added naturally where they make sense.

9. Not Knowing What Channels Your Customers Are Searching

When we talk about SEO, most of the time, we’re talking about Google – and that’s a problem.

Google isn’t the only search engine out there.

I’m not talking about Bing and Yandex – I’m talking about other channels that people use as search engines, like YouTube, Facebook, X (Twitter), and even TikTok.

Each platform has a different algorithm and different preferences that you need to be paying attention to.

Just because a word ranks well on Google doesn’t mean it will do well on YouTube or X (Twitter).

Pay attention to which channel your users are searching, not just what words they use.

10. Pushing Exact Match Keywords

Stop trying to cram awkward phrases into your content and ads.

Google is way less picky about using exact match keywords.

They understand your terms just fine with an “in” or even several words in between parts of a keyword.

With the addition of natural language processing, Google is getting better and better at understanding context.

Take a look at this search for [SEO agency chicago]. You can see Google returns results with related keywords, not just those that match exactly.

Screenshot from search for [SEO agency chicago], Google, December 2o24.

11. Not Paying Attention To Keyword Localization

Keyword localization, or the differences in terms based on location, can tank your SEO efforts.

Don’t assume that people in different countries (or even different parts of the same country) use the exact same terms when searching for a product.

For example, soda and pop refer to carbonated beverages but are used in different parts of the country.

This is another reason why paying attention to the actual SERPs is so important.

12. Skipping Topical Research

Earlier, I mentioned you shouldn’t focus on just one main key term.

Rather, you need to include a range of related key terms related to the core topic.

The reason this works is that it establishes topical authority, or authority over a broad idea, rather than a single term.

Topical research is the act of finding what related topics the main keyword targets.

For example, if you wanted to rank for SEO, you wouldn’t write a 4,000-word post about just SEO – you’d want to find out what other related topics people are searching such as SEO tools, SEO mistakes, and SEO strategies.

Taking the time to do topical research will help you find related keywords that will help you rank higher in the end.

13. Shunning Your SERP Competitors

Hopefully, you know who your market competitors are – but do you know who your SERP competitors are?

The brands ranking above you for content might not be the same competitors you vie with for actual customers.

For example, if you sell a specific air conditioner part, you might be competing with other manufacturers and stores for customers – but a handyman blog for core key terms.

Competitive research can also highlight other keywords you haven’t considered, so it’s important to make sure you check in regularly on all your competitors.

14. Passing Over Keyword Difficulty

Most keyword research tools provide info on keyword difficulty or how competitive a certain term is in the SERPs. I see a lot of marketers ignore this stat to focus on search volume.

After all, if 50,000 people are searching for a term, a few will end up on our site, right?

Not if you can’t snag one of the top three spots in SERPs because the keyword is too difficult to rank for.

Sometimes, a lower volume and lower difficulty term will be easier to rank for – and more lucrative in the end.

But keyword difficulty doesn’t consider a lot of factors.

A highly competitive keyword might not be hard for you to rank for if you have high traffic and rank well for similar terms.

15. Neglecting Conversions

Let’s say you are optimizing an ecommerce shoe site. What term is going to drive the most traffic – tennis shoes or boots?

That’s a trick question because the answer might very well be neither.

Too many clients (and some marketers) aim for broad key terms that are important in their industry but fail to realize that they’d actually make more sales targeting key terms that are more likely to convert.

For example, an ecommerce store might get tons of traffic targeting a key term like [boots], but maybe half a percent will convert.

On the other hand, [waterproof women’s snow boots] might not draw in a ton of traffic – but 3% to 5% might convert.

16. Overlooking Voice Search Optimization

Voice search isn’t just a trend – it’s changing how people search and the keywords they use. Many marketers make the mistake of sticking to traditional keyword formats while ignoring conversational queries.

Think about it: Nobody says “best restaurants Chicago” to Siri or Alexa. Instead, they ask, “What are the best restaurants near me in Chicago?”

Voice searches tend to be:

  • Longer and more conversational.
  • Question-based (who, what, where, why, how).
  • Location-specific.
  • More natural in language.

Voice search optimization isn’t about completely changing your SEO strategy – it’s about expanding it to include how people actually talk.

17. Not Adapting To Evolving Search Algorithms

Google’s AI systems understand context and user intent better than ever. This means:

  • Keywords need to be more contextual and topic-based.
  • Content should answer related questions users might have.
  • SERP features like Featured Snippets, People Also Ask, and Knowledge Panels need to be considered in your strategy.

For example, if you’re targeting “how to make coffee,” look at how Google displays recipe cards, video carousels, and related questions.

Your keyword strategy needs to account for these SERP features to maximize visibility.

18. Ignoring Video Content Keywords

With YouTube being the second-largest search engine globally, overlooking video-specific keyword research is a massive missed opportunity.

Video keyword research is different because:

  • People search differently for video content.
  • Competition metrics vary from traditional search.
  • Intent can be dramatically different.

For instance, “iPhone unboxing” might be a moderate-value keyword for a blog post but could be golden for video content.

Sometimes, a three-minute video will do what a 2,000-word article can’t.

Connecting The Dots: Keywords In The AI Era

With Google’s AI advancements, keyword research now needs to consider:

  • Topic Clusters: Instead of individual keywords, focus on comprehensive topic coverage.
  • SERP Features: Different query types trigger different SERP features (local packs, knowledge panels, video carousels).
  • User Journey Mapping: Understanding how keywords fit into different stages of the user journey.
  • AI-Generated Suggestions: Leveraging tools that use AI to identify semantic relationships between topics.

Thinking beyond traditional keyword metrics, the key is to consider how your content can best serve user needs across all search contexts and formats.

Remember: Modern keyword research isn’t just about finding words to target – it’s about understanding the entire search ecosystem and how your content can provide the best possible answer in whatever format users prefer.

Are you adapting your keyword research strategy to keep up with these changes? If not, you might be leaving opportunities on the table for your competitors to grab.

The key is to understand your audience and set up a strategy that works for your business.


More resources:


Featured Image: N Universe/Shutterstock

Google Shows How To Fix LCP Core Web Vitals via @sejournal, @martinibuster

Barry Pollard, the Google Chrome Web Performance Developer Advocate, explained how to find the real causes of a poor Lowest Contentful Paint score and how to fix them.

Largest Contentful Paint (LCP)

LCP is a core web vitals metric that measures how long it takes for the largest content element to display in a site visitors viewport (the part that a user sees in a browser). A content element can be an image or text.

For LCP, the largest content elements are block-level HTML elements that take up the largest space horizontally, like paragraph

, headings (H1 – H6), and images (basically most HTML elements that take up a large amount of horizontal space).

1. Know What Data You’re Looking At

Barry Pollard wrote that a common mistake that publishers and SEOs make after seeing that PageSpeed Insights (PSI) flags a page for a poor LCP score is to debug the issue in the Lighthouse tool or through Chrome Dev Tools.

Pollard recommends sticking around on PSI because it offers multiple hints for understanding the problems causing a poor LCP performance.

It’s important to understand what data PSI is giving you, particularly the data derived from the Chrome User Experience Report (CrUX), which are from anonymized Chrome visitor scores. There are two kinds:

  1. URL-Level Data
  2. Origin-Level Data

The URL-Level scores are those for the specific page that is being debugged. Origin-Level Data is aggregated scores from the entire website.

PSI will show URL-level data if there’s been enough measured traffic to a URL. Otherwise it’ll show Origin-Level Data (the aggregated sitewide score).

2. Review The TTFB Score

Barry recommends taking a look at the TTFB (Time to First Byte) score because, in his words, “TTFB is the 1st thing that happens to your page.”

A byte is the smallest unit of digital data for representing text, numbers or multimedia. TTFB tells you how much time it took for a server to respond with the first byte, revealing if the server response time is a reason for the poor LCP performance.

He says that focusing efforts optimizing a web page will never fix a problem that’s rooted in a poor TTFB sore.

Barry Pollard writes:

“A slow TTFB basically means 1 of 2 things:

1) It takes too long to send a request to your server
2) You server takes too long to respond

But which it is (and why!) can be tricky to figure out and there’s a few possible reasons for each of those categories.”

Barry continued his LCP debugging overview with specific tests which are outlined below.

3. Compare TTFB With Lighthouse Lab Test

Pollard recommends testing with the Lighthouse Lab Tests, specifically the “Initial server response time” audit. The goal is to check if the TTFB issue is repeatable in order to eliminate the possibility that the PSI values are a fluke.

Lab Results are synthetic, not based on actual user visits. Synthetic means that they’re simulated by an algorithm based on a visit triggered by a Lighthouse test.

Synthetic tests are useful because they’re repeatable and allow a user to isolate a specific cause of an issue.

If the Lighthouse Lab Test doesn’t replicate the issue that means the problem isn’t the server.

He advised:

“A key thing here is to check if the slow TTFB is repeatable. So scroll down and see if the Lighthouse lab test matched up to this slow real-user TTFB when it tested the page. Look for the “Initial server response time” audit.

In this case that was much faster – that’s interesting!”

4. Expert Tip: How To Check If CDN Is Hiding An Issue

Barry dropped an excellent tip about Content Delivery Networks (CDNs), like Cloudflare. A CDN will keep a copy of a web page at data centers which will speed up delivery of the web pages but will also mask any underlying issues at the server level.

The CDN doesn’t keep a copy at every data center around the world. When a user requests a web page the CDN will fetch that web page from the server and then will make a copy of it in that server that’s closer to those users. So that first fetch is always slower but if the server is slow to begin with then that first fetch will be even slower than delivering the web page straight from the server.

Barry suggests the following tricks to get around the CDN’s cache:

  • Test the slow page by adding a URL parameter (like adding “?XYZ” to the end of the URL).
  • Test a page that isn’t commonly requested.

He also suggests a tool that can be used to test specific countries:

“You can also check if it’s particularly countries that are slow—particularly if you’re not using a CDN—with CrUX and @alekseykulikov.bsky.social ‘s Treo is one of the best tools to do that with.

You can run a free test here: treo.sh/sitespeed and scroll down to the map and switch to TTFB.

If particular countries have slow TTFBs, then check how much traffic is coming from those countries. For privacy reasons, CrUX doesn’t show you traffic volumes, (other than if it has sufficient traffic to show), so you’ll need to look at your analytics for this.”

Regarding slow connections from specific geographic areas,  it’s useful to understand that slow performance in certain developing countries could be due to the popularity of low-end mobile devices. And it bears repeating that CrUX doesn’t reveal which countries poor scores are coming from, which means bringing in Analytics to help with identifying countries with slow traffic.

5. Fix What Can Be Repeated

Barry ended his discussion by advising that an issue can only be fixed once it’s been verified as repeatable.

He advised:

“For server issues, is the server underpowered?

Or the code just too complex/inefficient?

Or database needing tuning?

For slow connections from some places do you need a CDN?

Or investigate why so much traffic from there (ad-campaign?)

If none of those stand out, then it could be due to redirects, particularly from ads. They can add ~0.5s to TTFB – per redirect!

Try to reduce redirects as much as possible:
– Use the correct final URL to avoid needing to redirect to www or https.
– Avoid multiple URL shortener services.”

Takeaways: How To Optimize For Largest Contentful Paint

Google Chrome’s Barry Pollard offered five important tips.

1. PageSpeed Insights (PSI) data may offer clues for debugging LCP issues, plus other nuances discussed in this article that help make sense of the data.

2. The PSI TTFB (Time to First Byte) data may point to why a page has poor LCP scores.

3. Lighthouse lab tests are useful for debugging because the results are repeatable. Repeatable results are key to accurately identifying the source of a LCP problems which then enable applying the right solutions.

4. CDNs can mask the true cause of LCP issues. Use the Barry’s trick described above to bypass the CDN and fetch a true lab score that can be useful for debugging.

5. Barry listed six potential causes for poor LCP scores:

  • Server performance
  • redirects
  • code
  • database
  • Slow connections specific due to geographic location
  • Slow connections from specific areas that are due to specific reasons like ad campaigns.

Read Barry’s post on Bluesky:

I’ve had a few people reach out to me recently asking for help with LCP issues

Featured image by Shutterstock/BestForBest

Ecommerce Benefits of Dynamic Pricing

Dynamic pricing is a tactic wherein sellers adjust prices to reflect real-time market conditions.

When a competitor’s prices change or when supply or demand shifts, a store reacts. When inventory expands, prices contract. An item that delivers more value sells for a higher price.

Prices Communicate

Imagine a direct-to-consumer brand that sells two water bottles. The first has a charcoal filtration system, and the second has a “no-spill” lid.

The bottles cost the same to manufacture. Since both are essentially fancy water containers, the brand sells them for the same price — $59.99 — and earns about $25 per sale.

Yet the filtration bottle outsells the “no-spill” bottle 20 to 1.

Screenshot of two water bottles: filtration and no-spill.

The water bottles cost the same to produce but deliver different value to shoppers.

A bottle with a filtration system has a different use than one with a “no-spill” lid. Hikers and campers purchase the filtration bottle for safe drinking water — to dip the bottle in a steam and drink without the fear of ingesting microbes or chemicals.

In contrast, the market for a “no-spill” lid is almost certainly larger than for filtration bottles, but it also provides relatively less value. A shopper might not pay a $20 premium to avoid spilling water.

Thus the price of the “no-spill” bottle doesn’t fit the market. Sales will leap if the brand lowers its price to $39.99, earning $5 per item. Suddenly, “no-spill” water bottles will outsell filtration bottles 50 to 1.

Prices should reflect an item’s value, not the cost of production.

Dynamic Prices

Market-based prices have natural benefits. Let’s consider a few.

More revenue. Our imaginary DTC brand increased the sales of “no-spill” bottles when it lowered its prices. Similar scenarios are widespread in practice.

The price of an item is essentially an agreement between buyer and seller, a mutually beneficial exchange of value. Sellers seek more profit, and buyers want to save money. The price is where the parties agree.

But buyers differ. For example, at $59.99, perhaps one shopper in 100 buys the “no-spill” water bottle. But at $49.99, it’s 20. Finally, at $39.99, 60 shoppers purchase.

Hence lowering the price from $59.99 to $39.99 increases revenue per 100 visitors from $59.99 for one sale to $2,399.40 for 60.

More profit. Dynamic pricing improves bottom-line profits.

Recall that at $59.99, the DTC water bottle maker earned $25 in profit per sale. As the price moves down, so does the per-unit profit. Thus, at price points of $49.99 and $39.99, the brand earns the same profit: $300.

A good dynamic pricing strategy shifts the price to maximize overall profits.

Adaptability. Real-time, dynamic prices can move prices by pennies or dollars in response to fluctuations in demand, competitors, and even seasonality.

Ideal pricing for a water bottle might be $39.99 on a winter day and $55.99 in August.

Product development. Dynamic prices reveal consumer preferences and needs. The data can refine marketing strategies, customer experiences, and product development.

AI-powered

Dynamic pricing has existed for decades, but artificial intelligence makes it easier. A merchant in 2025 using a modern ecommerce platform will have multiple AI-powered real-time pricing solutions from which to choose.

Once implemented, dynamic pricing helps sellers and buyers.

New Ecommerce Tools: January 9, 2025

Every week we publish a list of new products from companies offering services to ecommerce merchants. This installment includes updates on marketplaces, supply chain platforms, shipping, returns, cross-border payments, and AI-generated product videos.

Got an ecommerce product release? Email releases@practicalecommerce.com.

New Tools for Merchants

TalkShopLive introduces TSL Shoppettes for product videos. TalkShopLive, a video commerce platform, has introduced TSL Shoppettes, short-form shoppable videos for social commerce. TSL Shoppettes enable merchants to schedule up to 90-second vertical videos featuring one to five items each. The videos allow consumers on Meta platforms to purchase products with a simple “Shop” comment, triggering direct links to buy via Instagram DMs or Facebook Messenger.

Home page of TalkShopLive

TalkShopLive

Meta tests eBay listings in Facebook Marketplace. Meta is launching a test for Facebook users in Germany, France, and the U.S. to browse eBay listings directly on its Marketplace and complete the transaction on eBay. Meta is conducting the trial as it seeks to resolve European Union charges leveled last year of anti-competitive behavior. E.U. antitrust regulators accused Meta of illegally shutting out competitors by tying Marketplace to its social network.

USPS offers new same-day and next-day services for volume sellers. The U.S. Postal Service has announced plans to offer same-day and next-day services, but with limitations. USPS Ground Advantage Next Day Priority will offer competitive pricing to meet the needs of businesses with threshold daily shipping volumes of 10 pieces at 10 pounds or less. It’s also offering same-day and next-day deliveries through USPS Connect.

Poshmark partners with Loop to transform missed returns into resales.. Poshmark, a fashion resale marketplace, and Loop, an operations platform for Shopify brands, are partnering to transform missed returns into resale opportunities. The partnership addresses a common consumer pain point: missing a return window or attempting to return a final sale item. Available to U.S. shoppers across Loop’s network of merchants, the new service allows consumers to resell non-returnable items on Poshmark while creating new revenue streams for the merchants.

Home page of Poshmark

Poshmark

Avataar releases a tool for creating AI-generated product videos. Avataar, a generative AI-powered content platform, has released Velocity, a tool that creates low-cost product videos from a link. The company’s optional API can integrate with merchants’ platforms to create product videos automatically.

Supply chain platform Tecsys launches an order management connector for Shopify. Tecsys, a provider of supply chain management tools, has announced the availability of its OrderDynamics OMS connector for Shopify to help merchants streamline fulfillment. The OrderDynamics connector integrates with Shopify stores, providing real-time inventory updates across fulfillment centers, warehouses, and stores. Participating brands have up-to-date stock data, preventing overselling and stockouts and allowing for more accurate and timely deliveries.

Later acquires social influencer app Mavely. Later, a platform for influencer marketing and social media management, announced its acquisition of Mavely, which helps brands monetize content. According to Later, the $250 million acquisition accelerates its ability to deliver full-funnel impact and measurable ROI for marketers while enabling creators to maximize their earnings through social commerce. Later’s AI predictive analytics will leverage first-party performance data from Mavely’s network of more than 120,000 creators.

Home page of Later

Later

FedEx launches cross-border ecommerce in the UAE and Saudi Arabia. FedEx has launched FedEx International Connect Plus, a shipping service for packages weighing up to 20 kg, in the United Arab Emirates and Saudi Arabia. FICP offers full tracking visibility for merchants and customers. The service includes notifications to recipients and the ability to choose delivery location, date, and time, including weekends and evenings, via FedEx Delivery Manager.

StoryStream unveils AI-powered video commerce solutions. StoryStream, a provider of AI-driven social shopping and ecommerce content, has launched an AI-powered video commerce platform. According to StoryStream, the platform empowers brands and retailers with immersive storytelling, shoppable videos, and live commerce for personalized and dynamic shopping experiences.

WordPress.com launches Studio Sync for local development. WordPress.com, the website building and hosting platform by Automattic, has released Studio Sync, a tool that synchronizes the hosting platform with Studio, its free and open-source WordPress development app. With Studio Sync, merchants keep local Studio sites connected to WordPress.com.

Briskpe launches a unified platform for cross-border payments. Briskpe, an international payments provider, has introduced a unified cross-border platform integrating account-to-account transfers and card collections powered by PayU and PayPal. Per Briskpe, the platform enables exporters, service providers, and marketplace sellers to manage international transactions efficiently. Briskpe charges a flat 1% fee on account-to-account transactions. The platform supports six major currencies: British pounds, euros, and dollars from the U.S., Canada, Australia, and Singapore.

Home page of Briskpe

Briskpe

How To Leverage GA4 For The Analysis Of International SEO Strategies via @sejournal, @gemmafontane

Expanding and growing in new international markets is a challenge for many businesses around the world.

Often, significant effort and resources are dedicated to international strategies, whether through PPC campaigns, social media, or SEO. But do we analyze the results of these actions effectively?

Google Analytics 4 (GA4) can be a useful tool for analyzing and optimizing international SEO strategies.

By using GA4’s features effectively, businesses can analyze actionable insights to refine their approach and better connect with their audiences.

Relevant Metrics And Dimensions For Analyzing International SEO On GA4

To better understand user behavior and interactions when implementing international SEO strategies with GA4, it’s important to be familiar with a series of metrics and dimensions provided by this Google tool:

  • Continent: Provides an overview of the performance of users across continents.
  • Continent ID: Offers the UN M49 ID associated with the continent from which user activity originated.
  • Subcontinent: Offers more detailed analysis within each continent. For example, South America.
  • Subcontinent ID: Shows the UN M49 ID associated with the subcontinent from which user activity originates.
  • Country: Shows from which user activity originated. This is the most used dimension for comparing the performance of each market in different countries.
  • Country ID: Displays the ISO 3166 ID associated with the country from which user activity originated.
  • Region: This is the geographic region from which user activity originated. It is used to understand user behavior in particular areas within a country.
  • Region ID: An ID for the geographic region from which user activity originates.
  • City: Shows the city or town from which user activity originates.
  • City ID: An ID associated with the city from which user activity originated.

Additionally, for analyzing international SEO campaigns, you can examine the following dimensions:

  • Language: Indicates the language of a user’s browser or device. This is a key metric for developing multilingual content strategies.
  • Language code: Represents the language setting of a user’s browser or device, displayed in ISO 639 format (e.g., en-us for U.S. English or en-gb for UK English).

All of these metrics and dimensions will help us properly analyze our international SEO strategies, in combination with other relevant metrics, to better understand our campaigns.

Key Reports For International SEO Strategies On GA4

Geographic Filtering On The Acquisition And Engagement Reports

Filtering reports by geographic dimensions, such as country or region, enables a detailed analysis of user behavior.

This segmentation is especially useful for identifying high-performing regions and optimizing strategies for areas with lower performance.

GA4 allows you to filter geographic dimensions depending on what you want to analyze:

  • Acquisition Report: This report shows how users from different regions discover and arrive at your site. Filtering by geographic dimensions, such as country, region, or city, enables the analysis of traffic across key markets.
traffic aquisition ga4 international seoScreenshot from GA4, December 2024 
traffic aquisition ga4 international seo geographySource: Demo Google Merchandise Store, December 2024
  • Engagement Report: On the other side, this report reveals how users interact with your site. Metrics, such as average engagement time per session and engaged sessions, offer a deeper understanding of how your content performs. By applying geographic filters, you can analyze content performance across different regions.
interactions ga4 international seoSource: tiodenadal.online, December 2024

User Demographic Details Reports

These reports provide detailed insights into your audience by combining geographic data with attributes such as age, gender, and interests.

This information helps you understand who your users are within specific regions, making it easier to identify the most relevant demographic groups in various areas and adjust your content and strategies to better align with their needs and preferences.

demogrpahic details report ga4 international seoImage from author, December 2024
demogrpahic details report ga4 international seo genderImage from author, December 2024

Search Console Integration On GA4

GA4’s integration with Google Search Console is very useful for analyzing international SEO strategies.

Reports, such as Queries and Google Organic Search Traffic, provide insights into search terms and the organic performance of URLs, which can be filtered by specific countries.

This data helps refine content optimization to better target local search behaviors.

search console for international seo on ga4Screenshot from Google Search Console, December 2024

Leverage Events And Parameters

In GA4, events capture specific user interactions on your site, such as clicks, form submissions, or downloads, while parameters provide additional details about these actions, like location, language, or device type. Together, they offer a clear view of how users engage with your content.

We can leverage them in order to analyze international SEO strategies:

  • Enhanced Measurement Events: Enabling enhanced measurement in GA4 allows you to automatically track key actions, such as scroll depth, clicks on region-specific links, or interactions with videos targeted at specific countries. These pre-configured events simplify the process of analyzing international user behavior, offering useful insights without the need for complex tracking setups.
  • Custom Events: Additionally, you can create custom events to track interactions specific to your international audience. For example, monitor clicks on country-specific CTAs, downloads of localized content, or searches performed using region-specific keywords on your site’s internal search function.
Search results ga4Screenshot from GA4, December 2024
  • Explanation: For example, filtering by country allows us to analyze the most popular search terms users use on a site’s internal search feature. By filtering by country or other relevant dimensions, this data can help design more effective content strategies and even restructure the site architecture to better align with the needs of specific regions.
  • Custom Parameters: Parameters let you gather information about user behavior that is important for improving international SEO strategies. For example:
    • Capture user language preferences using the language parameter.
    • Track interactions with content variations, such as videos or forms, designed for specific markets.

By using custom parameters, we can obtain relevant information that will be useful to further analyze strategies.

Google also provides a list of recommended custom parameters to help you implement them effectively.

Creating Audiences For International SEO

GA4’s audience creation tools allow companies to create highly segmented groups of users based on geographic and behavioral attributes. For instance:

  • Geographic Audiences: Create audiences based on location, such as country, region, or city.
  • Behavioral Audiences by Location: We can build relevant audiences when combining these geographic audiences with other specific characteristics that we want to study – for example, users who purchased, those who interact with localized CTA, or more engaged users. These groups can be used to identify trends in specific regions.
users in san francisco ga4Screenshot from GA4, an example of an audience called ‘Users in San Francisco’

Advanced Analysis Into User Behavior With Explorations

The Explorations reports in GA4 provide deeper insights into user behavior. These reports allow you to understand how user behavior changes by region and adjust the user experience accordingly:

  • Path Exploration Reports: This report maps user journeys across your site. By analyzing paths in specific regions, you can identify unique opportunities to improve user experiences for international audiences.
path exploration report US UsersSource: Path Exploration Report U.S. Users, December 2024
  • User Cohort Analysis: Tracks how users from different countries engage with your site over time. This helps identify patterns like retention, drop-offs, or the long-term success of localized strategies.
Cohort Analysis report US UsersSource: Cohort Analysis report U.S. Users, December 2024
  • Segment Overlap: Compares multiple audiences and highlights where they overlap. For international SEO, this report is particularly useful for identifying shared behaviors or interests between users from different or similar regions.
Segment Overlap Report US and. California usersSource: Segment Overlap Report U.S. + California users, December 2024

Best Practices For GA4 Configuration In International SEO

In order to do all of this analysis, it is very important to have GA4 Configuration properly set up:

  1. Define your international SEO objectives: Start by identifying what you want to achieve. Whether it’s increasing traffic from specific regions, boosting engagement on localized content, or improving conversions in targeted countries, setting clear goals helps align your GA4 setup with the data that matters most.
  2. Set up geographic dimensions properly: Review that key dimensions like country, language, and city are configured accurately in your reports.
  3. Leverage custom events: Design custom events to track region-specific interactions, such as downloads of localized guides or clicks on international shipping information.
  4. Utilize enhanced measurement: Activate enhanced measurement features to capture relevant interactions automatically, such as outbound clicks to region-specific pages.
  5. Integrate Search Console: Link GA4 data with Google Search Console to analyze target market organic search performance.
  6. Create audiences: Group users based on location, language, or interactions, such as those who engage with multilingual content or region-specific goals. Use these audiences to analyze trends and international user behavior and interactions with your site.

Expanding into international markets is a complex but potentially rewarding challenge for companies.

By effectively leveraging GA4’s features, such as geo-filtering, events, metrics, and audience-building tools, companies can obtain powerful insights to better analyze user behavior and optimize their SEO strategies.

More Resources:


Featured Image: insta_photos/Shutterstock

Ask An SEO: What To Do When Your SEO Formula Doesn’t Work? via @sejournal, @rollerblader

This month’s Ask an SEO question comes from Heather, who asks:

“Do you find that, sometimes, even your best formula to rank doesn’t make sense? I advise employment lawyers on how to write. However, I find the “formula” doesn’t seem to work. Have you found you can’t even to get it to work? Loaded question, but I hope you know what I mean.”

Great question, Heather, and it’s not as loaded as it originally sounds. It’s an easy one to resolve when you don’t overthink it.

When you use the same approach for law firm SEO or any niche SEO, you’re creating the same experience for the search engines.

Search engines need the best experience – not the same. That’s why using similar strategies doesn’t work.

Look how each law firm is unique and use that as a strength.

Identify who in the practice can become part of the brand (including any partners with media potential), what their specialties are, and how to approach each law firm’s strategy differently.

The answer below also applies to ecommerce, service providers like your clients, and publishers, so this post benefits all readers.

But I will stick to lawyers since that is the example our inquirer mentioned. If someone wants ecommerce or another topic, feel free to submit it, and I’ll be happy to respond.

Why SEO Formulas Fall Short For Law Firms

The reason the same SEO formula does not work, even if they’re the same type of lawyers is because each firm is unique.

Unique in this sense is having licensed attorneys nationally and providing full coverage.

Some could be multi-location vs. single location in a city or state, and others can be a boutique law shop specializing in one niche. Each will have different needs and different abilities, so the formula has to change.

If you’re not creating original and unique strategies for each and every law firm client, you’re not giving search engines like Google a reason to show them. That is why the formula doesn’t work, and your clients are at a disadvantage.

Larger law firms have extra people to talk to the media; they can go out and litigate and get backlinks from the cases.

Firms with multiple locations have more Google Business Profile opportunities and more abilities to do community work and gain exposure.

They’ll also need individual location pages vs. a single location, providing them with more localized content for city-based queries. And firms that have won cases that go viral in their space may get media attention.

This results in an increase in branded searches and backlinks, which leads to easier SEO for competitive terms.

The clientele is also different. If the employment firm handles small business or personal injury vs. enterprise corporations and big four accounting, the language levels and terminology need to change because you’re writing for people using different jargon and language levels.

If it is an NGO vs. for-profit, there are other phrases and rules they need to follow. This means the writing levels, types of sourcing, and information they’re providing have to be different as the clientele and type of audience they want are different.

Going for huge corporate accounts means having content for the assistants that meet their needs when they research, and the executives where you have summaries that make sense as to why they’re searching for a law firm.

They have a general counsel that will review your casework and look for something completely different.

If it’s a small business, it’s easier to adjust to a single page that talks to the owner and builds their confidence. Same niche, different target audience, different site experience need a unique strategy.

Here are some of the ways I’d tweak the SEO strategy for law firms, if I only worked in one specific niche. Then, I’d implement unique strategies on top of it based on attracting their specific target clients, not in general.

Build Digital PR And Trust

I’m not talking about link building here; I’m talking about building a brand. When the lawyers and partners are known entities, it carries over and can help build brand trust.

Larger cities like New York, Chicago, or Dallas have more opportunities than smaller towns, but each region has media opportunities.

Build a list of media companies, bloggers, and community resources, including city and town-run government forums, and see who talks about employment and employment law.

Now, look at the topics they cover. It could be anything from discrimination to hiring, job loss and layoffs, or employee and employer rights.

These are hot topics year-round and opportunities to get your clients featured. Once they go through media training, get them on TV, in columns as experts, and on stage at community forums as experts.

This results in natural backlinks when done correctly, and it leads to people searching for them by name and brand, which may signal to the search engines there is something to it.

If your client wins a case that is relevant to the topic the journalist covers, feature it as a recent blog post or PR article so the journalist has extra incentive to use it as a subject matter expert.

Once your client is a known entity and the leader in their area, their profile on the law firm’s website will become a place that attracts links, maybe a knowledge panel, and there may be markup available to help with this.

Enhance Visibility With Schema

You’ll want an organization schema with legal service (it also applies to local businesses) and area served. For single locations, cover their city, state, or where they’re licensed and provide services.

If multi-location, deploy service area schema on each location page. And don’t forget there is attorney schema, too.

Because you work with employment law firms, you may want to add references to this page on Wiki data or the matching one on Wikipedia from the additional type to build relevance to the type of legal services offered.

Optimize Google Business Profile

If they have physical locations, create Business Profile pages and do your best to get customers to leave reviews and feedback.

You want to fill out all pages just like normal, and if clients want to know if you want them to say anything, emphasize specific tasks and common situations you resolved for them.

And if others have asked questions about their law firms, your clients can answer questions based on their experiences.

Make sure to fill out all the services offered and fields. The more you give the search engine accurate and updated information, the better it can do to show your clients.

Develop Distinctive Copy

The content should not be the same strategy for each client even if they have the same types of customers.

You, as an SEO, need to create a completely unique content plan and ensure that others are not doing the same thing.

Google only needs one resource, so the same strategy for two similar law firms means only one can win, or neither will if both are the same because a third firm is going to be unique and take over.

It is easy to develop strategies for a unique experience.

Have the law firms publish their success stories as informational guides and in the reading and writing level of the customer.

Both will have unique brands and voices, and use those to cater to their potential customers.

Do not have them say what they did for their clients; have them talk about the issue the client had and the steps taken to resolve it.

By sharing the issue that was being faced and using the words their customers use, the law firm is speaking their client’s language.

This helps create a resource that potential leads will find when they’re searching for solutions to their current situation.

By providing a resource that includes common misconceptions, pitfalls to avoid, and the ways the happy client reached a solution, the law firm is building trust and can generate a lead when the person finishes reading.

Ensure Testimonial Relevance

One of the largest oversights I see with law firm SEO and conversion optimization is outdated and irrelevant testimonials.

This can also be a unique copy and a trust builder. Make sure all testimonials are:

  • Matched to the theme or topic of the page they are on and not sitewide.
  • Are from similar customers to the clients the firm wants by name, company size, and job type.
  • Explain the success of the specific legal situation that matches the call to action so the potential client knows you have experience resolving legal issues for their needs.
  • Each one is up-to-date and accurate. You don’t want potential clients to think your law firm hasn’t won a case in years or isn’t familiar with current employment law best practices.

The bottom line is that you cannot use the same strategy for each practice as each is unique, and search engines only need one of the same experiences.

All of your law firm clients will need title tags, schema, and content, but the PR work, copy on the pages, and authority building have to be original and play to their strengths so the pages meet the needs of their future clients.

If you’re not creating original and unique strategies for each and every law firm client, you’re not giving search engines like Google a reason to show them.

That is why the same SEO formula doesn’t work when applied to multiple clients. I hope this helps.

More resources: 


Featured Image: Paulo Bobita/Search Engine Journal 

What’s next for AI in 2025

MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here.

For the last couple of years we’ve had a go at predicting what’s coming next in AI. A fool’s game given how fast this industry moves. But we’re on a roll, and we’re doing it again.

How did we score last time round? Our four hot trends to watch out for in 2024 included what we called customized chatbots—interactive helper apps powered by multimodal large language models (check: we didn’t know it yet, but we were talking about what everyone now calls agents, the hottest thing in AI right now); generative video (check: few technologies have improved so fast in the last 12 months, with OpenAI and Google DeepMind releasing their flagship video generation models, Sora and Veo, within a week of each other this December); and more general-purpose robots that can do a wider range of tasks (check: the payoffs from large language models continue to trickle down to other parts of the tech industry, and robotics is top of the list). 

We also said that AI-generated election disinformation would be everywhere, but here—happily—we got it wrong. There were many things to wring our hands over this year, but political deepfakes were thin on the ground

So what’s coming in 2025? We’re going to ignore the obvious here: You can bet that agents and smaller, more efficient, language models will continue to shape the industry. Instead, here are five alternative picks from our AI team.

1. Generative virtual playgrounds 

If 2023 was the year of generative images and 2024 was the year of generative video—what comes next? If you guessed generative virtual worlds (a.k.a. video games), high fives all round.

We got a tiny glimpse of this technology in February, when Google DeepMind revealed a generative model called Genie that could take a still image and turn it into a side-scrolling 2D platform game that players could interact with. In December, the firm revealed Genie 2, a model that can spin a starter image into an entire virtual world.

Other companies are building similar tech. In October, the AI startups Decart and Etched revealed an unofficial Minecraft hack in which every frame of the game gets generated on the fly as you play. And World Labs, a startup cofounded by Fei-Fei Li—creator of ImageNet, the vast data set of photos that kick-started the deep-learning boom—is building what it calls large world models, or LWMs.

One obvious application is video games. There’s a playful tone to these early experiments, and generative 3D simulations could be used to explore design concepts for new games, turning a sketch into a playable environment on the fly. This could lead to entirely new types of games

But they could also be used to train robots. World Labs wants to develop so-called spatial intelligence—the ability for machines to interpret and interact with the everyday world. But robotics researchers lack good data about real-world scenarios with which to train such technology. Spinning up countless virtual worlds and dropping virtual robots into them to learn by trial and error could help make up for that.   

Will Douglas Heaven

2. Large language models that “reason”

The buzz was justified. When OpenAI revealed o1 in September, it introduced a new paradigm in how large language models work. Two months later, the firm pushed that paradigm forward in almost every way with o3—a model that just might reshape this technology for good.

Most models, including OpenAI’s flagship GPT-4, spit out the first response they come up with. Sometimes it’s correct; sometimes it’s not. But the firm’s new models are trained to work through their answers step by step, breaking down tricky problems into a series of simpler ones. When one approach isn’t working, they try another. This technique, known as “reasoning” (yes—we know exactly how loaded that term is), can make this technology more accurate, especially for math, physics, and logic problems.

It’s also crucial for agents.

In December, Google DeepMind revealed an experimental new web-browsing agent called Mariner. In the middle of a preview demo that the company gave to MIT Technology Review, Mariner seemed to get stuck. Megha Goel, a product manager at the company, had asked the agent to find her a recipe for Christmas cookies that looked like the ones in a photo she’d given it. Mariner found a recipe on the web and started adding the ingredients to Goel’s online grocery basket.

Then it stalled; it couldn’t figure out what type of flour to pick. Goel watched as Mariner explained its steps in a chat window: “It says, ‘I will use the browser’s Back button to return to the recipe.’”

It was a remarkable moment. Instead of hitting a wall, the agent had broken the task down into separate actions and picked one that might resolve the problem. Figuring out you need to click the Back button may sound basic, but for a mindless bot it’s akin to rocket science. And it worked: Mariner went back to the recipe, confirmed the type of flour, and carried on filling Goel’s basket.

Google DeepMind is also building an experimental version of Gemini 2.0, its latest large language model, that uses this step-by-step approach to problem solving, called Gemini 2.0 Flash Thinking.

But OpenAI and Google are just the tip of the iceberg. Many companies are building large language models that use similar techniques, making them better at a whole range of tasks, from cooking to coding. Expect a lot more buzz about reasoning (we know, we know) this year.

—Will Douglas Heaven

3. It’s boom time for AI in science 

One of the most exciting uses for AI is speeding up discovery in the natural sciences. Perhaps the greatest vindication of AI’s potential on this front came last October, when the Royal Swedish Academy of Sciences awarded the Nobel Prize for chemistry to Demis Hassabis and John M. Jumper from Google DeepMind for building the AlphaFold tool, which can solve protein folding, and to David Baker for building tools to help design new proteins.

Expect this trend to continue next year, and to see more data sets and models that are aimed specifically at scientific discovery. Proteins were the perfect target for AI, because the field had excellent existing data sets that AI models could be trained on. 

The hunt is on to find the next big thing. One potential area is materials science. Meta has released massive data sets and models that could help scientists use AI to discover new materials much faster, and in December, Hugging Face, together with the startup Entalpic, launched LeMaterial, an open-source project that aims to simplify and accelerate materials research. Their first project is a data set that unifies, cleans, and standardizes the most prominent material data sets. 

AI model makers are also keen to pitch their generative products as research tools for scientists. OpenAI let scientists test its latest o1 model and see how it might support them in research. The results were encouraging. 

Having an AI tool that can operate in a similar way to a scientist is one of the fantasies of the tech sector. In a manifesto published in October last year, Anthropic founder Dario Amodei highlighted science, especially biology, as one of the key areas where powerful AI could help. Amodei speculates that in the future, AI could be not only a method of data analysis but a “virtual biologist who performs all the tasks biologists do.” We’re still a long way away from this scenario. But next year, we might see important steps toward it. 

—Melissa Heikkilä

4. AI companies get cozier with national security

There is a lot of money to be made by AI companies willing to lend their tools to border surveillance, intelligence gathering, and other national security tasks. 

The US military has launched a number of initiatives that show it’s eager to adopt AI, from the Replicator program—which, inspired by the war in Ukraine, promises to spend $1 billion on small drones—to the Artificial Intelligence Rapid Capabilities Cell, a unit bringing AI into everything from battlefield decision-making to logistics. European militaries are under pressure to up their tech investment, triggered by concerns that Donald Trump’s administration will cut spending to Ukraine. Rising tensions between Taiwan and China weigh heavily on the minds of military planners, too. 

In 2025, these trends will continue to be a boon for defense-tech companies like Palantir, Anduril, and others, which are now capitalizing on classified military data to train AI models. 

The defense industry’s deep pockets will tempt mainstream AI companies into the fold too. OpenAI in December announced it is partnering with Anduril on a program to take down drones, completing a year-long pivot away from its policy of not working with the military. It joins the ranks of Microsoft, Amazon, and Google, which have worked with the Pentagon for years. 

Other AI competitors, which are spending billions to train and develop new models, will face more pressure in 2025 to think seriously about revenue. It’s possible that they’ll find enough non-defense customers who will pay handsomely for AI agents that can handle complex tasks, or creative industries willing to spend on image and video generators. 

But they’ll also be increasingly tempted to throw their hats in the ring for lucrative Pentagon contracts. Expect to see companies wrestle with whether working on defense projects will be seen as a contradiction to their values. OpenAI’s rationale for changing its stance was that “democracies should continue to take the lead in AI development,” the company wrote, reasoning that lending its models to the military would advance that goal. In 2025, we’ll be watching others follow its lead. 

James O’Donnell

5. Nvidia sees legitimate competition

For much of the current AI boom, if you were a tech startup looking to try your hand at making an AI model, Jensen Huang was your man. As CEO of Nvidia, the world’s most valuable corporation, Huang helped the company become the undisputed leader of chips used both to train AI models and to ping a model when anyone uses it, called “inferencing.”

A number of forces could change that in 2025. For one, behemoth competitors like Amazon, Broadcom, AMD, and others have been investing heavily in new chips, and there are early indications that these could compete closely with Nvidia’s—particularly for inference, where Nvidia’s lead is less solid. 

A growing number of startups are also attacking Nvidia from a different angle. Rather than trying to marginally improve on Nvidia’s designs, startups like Groq are making riskier bets on entirely new chip architectures that, with enough time, promise to provide more efficient or effective training. In 2025 these experiments will still be in their early stages, but it’s possible that a standout competitor will change the assumption that top AI models rely exclusively on Nvidia chips.

Underpinning this competition, the geopolitical chip war will continue. That war thus far has relied on two strategies. On one hand, the West seeks to limit exports to China of top chips and the technologies to make them. On the other, efforts like the US CHIPS Act aim to boost domestic production of semiconductors.

Donald Trump may escalate those export controls and has promised massive tariffs on any goods imported from China. In 2025, such tariffs would put Taiwan—on which the US relies heavily because of the chip manufacturer TSMC—at the center of the trade wars. That’s because Taiwan has said it will help Chinese firms relocate to the island to help them avoid the proposed tariffs. That could draw further criticism from Trump, who has expressed frustration with US spending to defend Taiwan from China. 

It’s unclear how these forces will play out, but it will only further incentivize chipmakers to reduce reliance on Taiwan, which is the entire purpose of the CHIPS Act. As spending from the bill begins to circulate, next year could bring the first evidence of whether it’s materially boosting domestic chip production. 

James O’Donnell