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Multilingual and international SEO: 5 mistakes to watch out for

English-language keywords are becoming more competitive daily, making it harder to rank for popular terms – even with an unlimited budget. 

To maximize your efforts, consider alternatives like multilingual or international SEO.

Before we dive in, let’s clarify the difference: 

  • Multilingual SEO involves multiple languages, regardless of the target country. For example, adapting a U.S. website into Spanish or Traditional Chinese for U.S. residents is multilingual but not international.
  • International SEO targets different countries. A U.S. company expanding to Canada, the U.K., or Australia would be engaging in international SEO but not multilingual.

This article covers both.

Expanding beyond your current audience comes with challenges. 

With over five years in international SEO, I’ve seen many brands make common mistakes. Here’s how to avoid them.

1. No market research

Sometimes, businesses notice traffic and sales from a specific country and assume they can simply AI-translate their content to rank. 

Since they perform well in their home country, they believe their authority and links will carry over.

Wrong! 

Every country has its own industry landscape, which may not align with what you’re used to. 

Regulations on products, content, and marketing can also vary. 

Most importantly, your ideal customer may have different preferences or priorities in another country.

A U.S. affiliate site for online casinos launched an international content effort but didn’t get the expected traffic. They targeted Germany, China, and Japan. 

Here’s what they overlooked:

  • Online gambling is illegal in two of those markets and heavily regulated in the third. While people still play in unauthorized casinos, legal restrictions affect how businesses enter the market. The risk is lower as an affiliate, but companies selling products or subscriptions must confirm whether they can sell and whether their sales model is allowed.
  • The market had strong local manufacturers and distributors that weren’t active elsewhere. Creating content around these brands boosted traffic.
  • A social media influencer was trending in Germany for online slot play. Content focused on this trend ranked well and attracted visitors.

Without market research, you’ll miss major opportunities to stand out – and you might even run into legal trouble, depending on your product and sales model.

Dig deeper: How to use SEO to enhance your visibility within a specific geographic area

2. Poorly prepared base version

If your primary language site is poorly built or optimized, those issues will carry over when you add another language. 

I’ve seen multilingual sites with no H1s, custom child themes that make content updates difficult, and internal structures that don’t scale well. 

Even a font choice can cause problems.

A clear, consistent structure also helps translation software function properly. 

Most translation tools scan for text strings, but improperly tagged elements – like buttons, callout boxes, and other design features – may be missed. 

In the image below, the gray text appears on mouseover but wasn’t translated from the original German to English.

Example of poorly prepared base version

Ensure your designers and developers create a framework that supports multiple languages, currencies, tax rates, and shipping options.

When adapting from English to another language, allow extra space for text expansion. 

English tends to be more concise than other Western languages – and significantly shorter than Chinese or Japanese. 

This is especially crucial for navigation menus and buttons. 

A translation can break your design simply because there are too many words or one long word that doesn’t fit.

Website navigation in English
Website navigation in English
Website navigation in English
Website navigation in English

You can’t predict every challenge, but a clean, well-structured site will make expanding to new markets much easier.

Dig deeper: How to craft an international SEO approach that balances tech, translation and trust

3. No keyword research

Many companies translate first and think about SEO later, resulting in multilingual content with no keyword focus. 

Conducting keyword research before translation helps your team incorporate key terms from the start.

It also helps determine whether a term should be translated at all. 

Some languages, like German, often retain English terms, while French is less likely to do so. 

A quick check with a keyword research tool can show whether to translate, keep the original term, or use both.

Keyword research can also reveal potential conflicts. 

For example, a company wanted to rank for “MDR” in German, referring to “managed detection and response.” 

However, MDR is also the name of a major German public TV and radio station – making ranking for the term impossible.

Beyond choosing keywords, research helps identify local content clusters and plan accordingly.

Poor keyword implementation

Writing with keywords in mind is challenging in any language, and it becomes even trickier in a foreign one. 

Translators prioritize accuracy, not SEO

Where you see keyword variations, a translator sees inconsistency, which can lead to over-optimization.

Working with a native writer instead of a translator allows for better flexibility and keyword integration.

Dig deeper: 15 SEO localization dos and don’ts: Navigating cultural sensitivity

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4. Internal linking

Too many websites overlook internal linking in their international content. 

Both navigational and in-content links must be fully localized to maximize their value. 

Many sites either link back to English pages or only to the target language homepage, missing key opportunities.

This is primarily a user experience issue. 

When users land on unexpected content, it can be frustrating and lead to high bounce rates. 

You want visitors to take action, and you’ve invested in content – so it needs to perform. 

Users who can’t easily find relevant information are less likely to convert.

From an SEO perspective, internal linking is one of the few factors you can fully control. 

With so many ranking elements out of your hands, taking advantage of what you can is crucial. 

As you develop your keyword list, create an internal linking strategy alongside it.

Keep local preferences in mind. Your best-selling product in one country may not be the same in another, so adjusting your internal links accordingly can improve efficiency.

Also, share your linking strategy with your translation team. 

Translators and transcreators can help create natural, localized links, but most translation software won’t automatically adjust links to point to the correct language version. 

A native-speaking editor is your best option for ensuring strong anchor text and proper link placement.

Dig deeper: International SEO: How to avoid common translation and localization pitfalls

5. Only thinking about text

Images and videos are powerful content tools, but if they’re not relevant or accessible to your audience, they lose their impact.

The images you choose can shape how visitors perceive your brand. That’s why it’s important to have a local review them. 

Sometimes, it’s as simple as ensuring the people in your images reflect the local population. 

Other times, it’s more complex. Allegorical images, for example, may not translate culturally.

Images localized for German, Czech, and Arabic-speaking customers.
Images localized for German, Czech, and Arabic-speaking customers.

If you keep the same images, update your alt tags to reflect the local language and, if possible, include relevant keywords.

For videos, narration can be highly engaging – unless the viewer doesn’t understand the language. In that case, it becomes alienating. 

Some companies opt for instrumental music and subtitles, allowing users to select their preferred language.

If your videos are already produced, the easiest and most cost-effective way to internationalize them is by adding localized closed captions. 

Fully localizing or dubbing them is more expensive but provides a better user experience. 

These assets can also be repurposed for other targeted campaigns. 

However, if you’re hosting them on platforms like YouTube or Vimeo, you must organize them properly to ensure seamless access.

Dig deeper: 6 SEO considerations for a successful international expansion

Going global successfully with smarter SEO

Internationalization can feel overwhelming, especially for small and medium-sized businesses. 

Taking the time to prepare – particularly with market and keyword research – can reveal significant opportunities and reinforce commitment to the project. 

With that foundation in place, it’s time to move forward with localization.

5 ways to get the most from Performance Max in 2025

Google appears to be testing channel reporting functionality for Performance Max campaigns, potentially addressing a major advertiser criticism of the automated campaign type.

Driving the news:

  • Documentation about Channel reporting coming to Performance Max was reported by Kirk Williams, Founder of Zato, with Google Search Lead Tetsuo Konno tagged in the reference on X.
  • A screenshot from the Google Think event in Amsterdam was shared by Arjan Schoorl showing apparent channel breakdowns on LinkedIn:
  • Christopher Bell, Head of PPC at Kelkoo, claims a large advertiser account has already received access to the feature.

Why we care. Since launching in 2021, Performance Max has faced sustained criticism for its “black box” approach that consolidates multiple Google channels without providing advertisers visibility into channel-specific performance. If Google provides insight into how budgets are distributed across its various channels this could enable better optimization and accountability.

Between the lines. Google Ads Liaison Ginny Marvin has been asked about the feature but has not yet responded, suggesting the company may not be ready to announce the functionality broadly.

What they’re saying. “I think Google is just testing the water to reassure customers when concerns are raised regarding high none-Shopping Traffic,” Bell said, indicating the feature may be designed to address advertiser transparency concerns.

What we’re watching. If implemented widely, channel reporting would mark a significant shift in Google’s approach to Performance Max, potentially giving advertisers greater insight into how their budgets are being allocated across Search, Display, YouTube, Gmail, and other Google properties.

Join Our Webinar Save Your Seat

This webinar explores a structured approach to managing marketing campaigns from start to finish, focusing on practical tools and techniques that drive efficiency and impact. Ideal for marketing campaign managers and project leads, the session covers best practices for planning, executing, and measuring campaigns, with an emphasis on collaboration.

Join us on Thursday, March 13th for From Strategy to Execution: Managing Complex Marketing Campaigns, and learn how to integrate key tools and methodologies, while ensuring your campaigns run smoothly and deliver measurable results. Our speakers will cover:

  • Strategic Planning & Goal Setting
  • Building a Collaborative Campaign Framework
  • Data-Driven Decision-Making & Campaign Optimization

Save your spot here!

How to use OpenAI’s Deep Research for smarter search strategies

SEO is evolving faster than a fruit fly colony in a genetics lab – constantly adapting, mutating, and surprising even the experts.

One day, long-form content reigns supreme; the next, AI-generated summaries are stealing the spotlight. Staying ahead requires smarter, data-driven insights.

AI-powered tools like OpenAI’s Deep Research are reshaping how marketers approach content strategy, competitive analysis, and SERP optimization.

Unlike traditional AI models that rely on pre-existing training data, Deep Research can pull real-time insights from external sources, making it a game-changer for SEO professionals. 

But how does it compare to standard ChatGPT, and how can marketers use it to outperform competitors and create better content? Let’s dive in.

Deep Research vs. ‘regular’ ChatGPT

Until February, Deep Research was only available to OpenAI’s $200/month Pro+ users. 

Thankfully, regular $20/month users now have access to this tool that can pull real-time insights from external sources, making it a potential game-changer for research of all kinds. 

Whether you’re working on SEO strategies or conducting competitive analysis, real-time, sourced information with thorough citations is invaluable. 

Deep Research on ChatGPT 4o

Discovering Deep Research is like switching from gloppy rubber cement to spray adhesive for science fair projects – suddenly, everything is faster, cleaner, and prettier – just like how spray adhesive ensures a smooth, uniform finish without bubbles or unevenness. 

Deep Research speeds up the process and delivers polished and well-organized results right out of the box, saving time and effort while improving overall quality.

So, before diving into SEO applications, let’s examine how Deep Research differs from traditional ChatGPT responses.

Regular ChatGPT (GPT-4o, etc.)

  • Generates responses based on its internal knowledge and general training data.
  • Can provide SEO guidance, competitive research, and content ideas but does not cite external sources in real-time.
  • Responses are based on historical knowledge rather than up-to-date, sourced insights.

Deep Research

  • Pulls real-time insights from external sources, synthesizing multiple perspectives and providing links to supporting materials.
  • More powerful for research-heavy SEO tasks, such as:
    • Evaluating competitors.
    • Validating E-E-A-T signals.
    • Ensuring factual accuracy in content.
  • Unlike ChatGPT, Deep Research includes thorough citations and footnotes, making it easier to verify and trust the information.
  • Helps SEOs assess the credibility, relevance, and quality of insights by showing exactly where the data comes from.
  • Can also be a valuable tool for discovering new thought leaders, publications, and authoritative sources in the industry.

Example of ChatGPT vs. Deep Research in SEO

Let’s say you want to understand how Google’s latest core update is impacting search rankings.

  • ChatGPT prompt: “What are the key ranking changes from Google’s latest core update?”
    • ChatGPT will provide insights based on its training data, which may not include the latest updates.
  • Deep Research prompt: “Summarize the latest analysis of Google’s December 2024 core update from industry experts, including changes in ranking factors and who has been affected.”
    • ChatGPT might provide a general summary of past updates but lacks real-time data and direct citations.
    • Deep Research, on the other hand, retrieves insights straight from authoritative sources.
    • For example, when testing this prompt, Deep Research returned a 1,068-word analysis (not counting the list of 13 citations with links). Here’s an excerpt:

“Google’s December 2024 update rewards content-rich, trustworthy sites and raises the bar against spam or subpar content[^1]. SEO analysts noted that Google placed even greater emphasis on high-quality, original content demonstrating E-E-A-T[^2]. Sites with thin or duplicate content, especially in YMYL categories, saw declines[^3]. AI-generated content was scrutinized more heavily, with low-quality, auto-generated text being devalued[^4].”

The footnotes and citations in Deep Research’s response allow SEOs to see exactly who said what and in which publication, making it easier to evaluate the credibility of the insights and make informed decisions.

Get the newsletter search marketers rely on.



SEO use cases for OpenAI’s Deep Research

1. Competitive analysis and SERP research

One of the most practical applications of Deep Research in SEO is real-time analysis of competitors and search engine results pages (SERPs).

Example: Identifying content gaps

  • Imagine you’re optimizing a blog for a keyword like “best AI SEO tools 2025”. Using Deep Research, you can prompt:

Prompt: “Provide a comparison of the top five AI SEO tools as of 2025, summarizing their features, pricing, and pros/cons with links to sources.”

Instead of relying on outdated or generalized knowledge, Deep Research pulls current information from multiple sources, allowing you to craft more comprehensive and up-to-date content than your competitors.

2. Content ideation and topic research

Creating unique, high-quality content that ranks well requires more than just keyword research.

SEOs often need to find trending topics, authoritative sources, and expert insights to craft engaging content.

Example: Finding trending and evergreen topics

Prompt: “What are the emerging trends in AI-powered search optimization in 2025? Provide references to industry reports or expert opinions.”

Deep Research helps ensure your content is timely, relevant, and backed by authoritative sources, improving both E-E-A-T (experience, expertise, authoritativeness, and trustworthiness) and engagement.

Dig deeper: AI optimization: How to optimize your content for AI search and agents

3. E-E-A-T and link building research

Google increasingly prioritizes content that demonstrates E-E-A-T.

With Deep Research, SEOs can efficiently:

  • Find reputable sources to cite for stronger credibility.
  • Discover link building opportunities by identifying authoritative industry sites that accept guest contributions.
  • Locate credible experts whose insights can add weight to an article.

Example: Strengthening content credibility

Prompt: “Find peer-reviewed studies or expert analysis on the impact of AI-generated content on SEO rankings.”

(Seriously, try this. The footnotes alone are *chef’s kiss*)

By embedding sourced insights directly into your content, you enhance trust and authority, which can contribute to higher rankings.

4. Automating SEO research tasks

SEO professionals spend a significant amount of time manually reviewing sources, extracting insights, and analyzing SERP trends. Deep Research can automate much of this work, freeing up time for strategy and execution.

Example: Generating a content brief

Prompt: “Generate a content brief for a 2,000-word article on ‘How AI is Changing SEO in 2025,’ including H2s, key takeaways, and supporting statistics with sources.”

This allows SEO teams to move faster and maintain consistency in content quality and depth.

Dig deeper: Improving content quality at scale with AI

Reevaluating the role of schema in SEO

While structured data has long been considered a key element of technical SEO, recent advancements in AI-driven search have lessened its importance for many types of content. 

In a December 2024 article for Search Engine Land, I discussed how schema markup is not as critical as it once was, with the exception of certain structured data types, such as product schema.

Deep Research can still assist SEOs by:

  • Identifying the most relevant schema types for products, events, or structured content that still benefit from markup.
  • Finding industry-specific examples of where structured data is still impactful.

Example: Schema relevance in AI search

Prompt: “Analyze the role of schema markup in AI-driven search results and identify which schema types still provide ranking benefits.”

By leveraging Deep Research, SEOs can avoid unnecessary implementation efforts and focus on structured data that truly matters in today’s search landscape.

Why Deep Research feels like an SEO superpower

SEO’s evolution is starting to feel like a sci-fi experiment gone rogue – constantly mutating and throwing unexpected changes our way. 

OpenAI’s Deep Research helps SEOs track these mutations in real time, ensuring they aren’t optimizing for outdated strategies.

While traditional ChatGPT responses provide helpful general guidance, Deep Research enables SEOs to produce more accurate, authoritative, and competitive content – a necessity in AI-driven search. 

Integrating Deep Research into your workflows can improve competitive analysis, content ideation, E-E-A-T optimization, and automation efforts, ultimately leading to higher rankings and stronger organic performance.

Deep Research shifts the balance of AI-assisted SEO from guesswork to precision. This tool is a game changer for SEOs who thrive on data-backed decisions.

How to do PPC keyword gap analysis

Sticking to the same set of keywords in your paid search campaigns might feel safe, but it can limit your reach.

Consumers search in countless ways, often using terms you may not have considered.

To stay competitive – whether you’re scaling your budget, chasing growth goals, or trying to revitalize PPC performance – you must identify and fill keyword gaps. Here’s how.

Keyword tools

Google’s built-in Keyword Planner (and Microsoft’s equivalent product) provides a natural starting point for researching additional keywords. 

The tool can automatically filter out existing keywords in your account so you can easily see new suggestions.

You can use Keyword Planner by either inputting a keyword (or a set of keywords) to get suggestions for similar keywords, or you can input a URL. 

If you aim to fill in gaps for specific products you offer, use the URL specific to that product or product category. 

Remember that pages with descriptive content will give the tool the best signals to generate ideas. 

You can input competitor URLs to get keyword ideas related to their content. 

Aside from using competitors you may already be familiar with, look at Auction Insights for the campaigns and ad groups where you plan to expand, and use those brands’ URLs.

There are also a number of third-party keyword research tools available, such as: 

  • Semrush. 
  • SpyFu.
  • Answer The Public.
  • AlsoAsked.

Many of these tools have free versions with limited features, plus paid plans for more in-depth insights.

Using a variety of them can help uncover a broader range of keyword ideas. Leverage them to search by “seed” keywords and competitor URLs where applicable.

Search term analysis

By reviewing existing search terms that match your keywords, you may identify terms you aren’t bidding on that would be worth adding as new keywords. These might include:

  • Search terms with a high enough impression/click volume to justify adding as keywords.
  • Search terms with an exceptional conversion rate and/or reasonable CPA.
  • Search terms that are still relevant to your brand but not related to the keyword/ad group where they matched.

If you’re running in both Google and Microsoft, be sure to include search terms from both platforms, as you will likely find unique results between each. You can then test relevant terms as new keywords in both.

If you’re running a Performance Max campaign, you can use Insights to view search terms

You can then evaluate bidding on high performers in regular search campaigns to better control bidding and ad copy.

Today, even exact match keywords can trigger a wide range of search terms. 

If performance is similar and aligns with your ad messaging, there’s no need to separate them. 

However, if intent or performance differs, adding them to new ad groups or campaigns can be valuable.

Dig deeper: 11 free tools for PPC campaign management

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Google Search Console data

Looking through queries in Google Search Console may help to flag keywords that are driving relevant traffic organically but are not currently in your paid search campaigns. 

If you’ve linked your Search Console and Google Ads accounts, you can also use the Paid and Organic report to identify keywords you are strictly showing organically but not in paid results.

Generally, appearing for the same keywords in both paid and organic results helps drive incremental traffic and conversions that would not have happened with just appearing for one or the other. 

Even if you already show up organically for a particular keyword, you can tweak the ad copy and URL for the paid search end to feature current offers.

Website content

When was the last time you thoroughly reviewed your brand’s website? 

A sitemap lets you view the site’s hierarchy and pinpoint products and categories for which you may not already be bidding on related keywords.

Analytics data can reveal which product or service pages attract the most views and engagement.

You can pinpoint areas of interest for which you aren’t pushing traffic or bidding on relevant keywords.

Generative AI 

With careful prompt guidance, you can use generative AI tools to provide recommendations. 

For instance, paste in an existing list of keywords, describe your brand and marketing, and ask the tool to provide additional suggestions. 

Building off the previous section, you could provide the URL for your site or specific pages and ask for recommendations or paste in content directly from those pages.

You’ll need to carefully review the outputted keyword suggestions for relevance. Also, you may need to provide further prompts to refine what you receive back.

Dig deeper: Top AI tools and tactics you should be using in PPC

Feedback from SMEs and customers

As an agency or in-house marketer, you likely don’t have the same “in-the-weeds” level of knowledge that SMEs (subject matter experts) in the organization may have.

Connect with individuals such as product marketers, sales teams, and owners in a small business setting.

Ask them questions such as:

  • What are the key problems your products solve?
  • What are the main concerns customers ask about?
  • What are the top competitors you hear mentioned by prospects?
  • What less obvious phrases might customers use when referring to the products you sell?

These questions, and others tailored to the products or services you are promoting, can inform new keywords you may want to include in your campaigns.

Similarly, you may have access to talk directly to customers or review customer survey data. 

Use the information customers provide for further insight, as this may contradict or add to what SMEs share.

For instance, I once managed paid search campaigns for a heating/AC business, and the marketing staff insisted that the average consumer did not use the acronym “HVAC” to refer to their services. 

However, actual search volume proved otherwise, as search terms containing “HVAC” were on par with the volume and conversion performance of heating/air conditioning terms.

Start researching new keywords

Regular keyword research keeps your PPC strategy fresh and competitive. Don’t let valuable opportunities slip by.

Review your existing search campaigns, utilize available tools and resources, and incorporate staff and customer feedback to determine additional keywords that may help cover current gaps.

Google AI Mode is now here and available within Google Search Labs; it is a new search mode that goes beyond AI Overviews with a more immersive Google Search AI interface that provides “more advanced reasoning, thinking and multimodal capabilities,” Google announced.

Google also announced that AI Overviews are now powered by Gemini 2.0 and that AI Overviews are now available for teenagers, a login is not required for access to these AI answers anymore.

AI Mode

AI Mode is a new tab within Google Search, right now only for those accepted into the Google Search Labs experiment, that brings you into a more AI-like interface. Google said AI Mode “is particularly helpful for queries where further exploration, reasoning, or comparisons are needed.” AI Mode lets you explore a topic and get comprehensive AI-based answers without you needing to do those comparisons and analyses yourself. We saw rumors of this news and it is finally officially here, for some of you.

AI Mode uses a “query fan-out” technique that issues multiple related searches concurrently across subtopics and multiple data sources and then brings those results together to provide a response. Google said using this query fan-out method provides searchers with a “more breadth and depth of information than a traditional search on Google.”

AI Mode supports searching with text, voice, and images through its multimodal capabilities. Plus, AI Mode offers the conversational follow-up questions like you’ve seen in AI Overviews and Gemini.

What AI Mode looks like. Here is a video of AI mode in action on desktop search:

Here is a similar example but on mobile search:

How to access AI Mode. Google AI Mode again is currently only available with Labs access. In this case, Google will start accepting users who are Google One AI Premium subscribers first and then add more users later.

Once you again access then you should be able to access AI Mode – here is how:

  • Go to www.google.com, enter a question in the Search bar, and tap the “AI Mode” tab below the Search bar.
  • Go directly to the AI Mode tab on Google Search at: google.com/aimode.
  • In the Google app, tap the AI Mode icon below the Search bar on the home screen.

Links in AI mode. Google told us, “like with AI Overviews, AI Mode prominently surfaces relevant links to help people find web pages and content they may not have discovered before.” And often, Google will show a different set of links and responses in AI Mode compared to what you might get in AI Overviews.

“You can ask anything on your mind and get a helpful AI-powered response with the ability to go further with follow-up questions and helpful web links,” Google added.

Google told us they use training models to “intelligently determine when and how to link and best present information so it’s most useful and actionable.” Then, the “teaching the model to decide when to include hyperlinks in the response if it’s likely that the user may want to take action or finish a task on a website (e.g. booking tickets). Or deciding when to prioritize visual information if the user’s question could benefit from an image or video (e.g. how-to queries).”

Search Console. I asked if Google will show this data within Google Search Console or maybe, and we are all praying for it, let us filter these responses in the Search Console performance reports. But I received the typical PR answer from Google. Google said, “We currently don’t have anything to share about the reporting tools for this experiment, but will let you know if that changes.”

I wish I had more to share here, and I know I’ve been on this topic since Google launched featured snippets over a decade ago, but hey, I won’t stop asking Google about this.

AI Mode safety questions. As you may expect, Google is launching this with a bit of caution and a caveat that his is a new feature, only available in Search Labs, that you have to opt into. “As with any early-stage AI product, AI Mode won’t always get it right,” Google told us. Google also said they have been testing AI Mode “extensively with trusted testers and conducted rigorous internal evaluations using methods we’ve been honing for decades in Search.”

Google will learn from real user usage and feedback and quickly respond and adapt AI Mode. This goes across when AI Mode is triggered, any inaccuracies or odd responses it provides, if the responses are opinionated or not, provide false equivalence responses, carry context across follow-up questions, if they offer query variety, satire and humor and more.

This is new and I expect a lot of interesting examples share over social media and the mainstream media over the coming months.

Video: Here is a quick video I made of Google AI Mode for those who prefer to watch and listen to a video:

Gemini 2.0 powered AI Overviews

Not to be outdone by the AI Mode announcement, Google AI Overviews are now powered by Gemini 2.0. This was being tested back in December, Sundar Pichai, Google’s CEO, announced. But now we are here.

Google said “Gemini 2.0 for AI Overviews in the U.S. to help with harder questions, starting with coding, advanced math and multimodal queries, with more on the way.” “With Gemini 2.0’s advanced capabilities, we provide faster and higher quality responses and show AI Overviews more often for these types of queries,” Google added.

More availability. Plus, AI Overviews are now available to teenagers and no longer require a sign in to access it.

Microsoft Ads: How it compares to Google Ads and tips for getting started

Microsoft is ramping up its advertising efforts in Copilot, introducing new interactive ad formats and reporting improved ad relevance metrics. This is meant to enhance interactivity and personalization for users.

The big picture. Copilot ads are now fully implemented in English, French, and German markets, with Spanish and Japanese coming soon.

New ad formats. Microsoft is launching two ad formats designed specifically for Copilot:

Microsoft Advertising Showroom ads:

  • Immersive digital experience mimicking physical showrooms.
  • Allows users to explore products and ask questions.
  • Rich sponsored content complements organic experience.
  • Future plans include integration of brand agents for direct engagement.

Dynamic filters:

  • Helps users refine searches without additional typing.
  • Narrows down options based on individual preferences.
  • Pilot launching in English language markets in March.

By the numbers. Microsoft Advertising research shows ad relevance metrics in Copilot are 25% better than traditional search, leveraging richer conversation signals.

Why we care. The introduction of interactive ad formats like Microsoft Advertising Showroom ads and Dynamic filters allows for a more immersive experience, potentially increasing conversions by aligning ads more closely with user preferences.

Additionally, the improved ad relevance metrics and dynamic ad generation capabilities could lead to higher click-through rates and better campaign performance, making these updates valuable for advertisers seeking to optimize their digital marketing strategies.

What’s next. Microsoft will begin piloting Showroom ads with select clients in April, potentially transforming online product interactions.

Why SEO often fails before it even begins

When a business hires an SEO service, they expect immediate action – site tweaks, content strategies, and keyword targeting – rolled out fast. 

So when my recent client demanded these deliverables ASAP, my response caught them off guard:

“You don’t need it.”

It wasn’t what they wanted to hear. But it was exactly what they needed to understand.

The problem: No one was converting

The client was frustrated. Their website wasn’t converting, and they assumed the problem was a lack of SEO improvements. 

More content, more keywords, more tactics, surely that would solve everything, right?

Not exactly.

Here’s what I found after a quick audit:

  • The website was too product-focused: It was all about features instead of the benefits that mattered to its target audience.
  • The calls to action (CTAs) were nondescriptive: They lacked direction and urgency.
  • There was no social proof: No reviews, no testimonials, and nothing to build trust or validate the product’s value.

SEO wasn’t the solution here. 

The real issue was that the website wasn’t designed to convert traffic. It lacked a strong foundation to build on.

Dig deeper: Top 10 SEO benefits of building a brand that people trust

Throwing SEO out the window

Instead of diving into SEO tactics, we pressed pause. We needed to fix the foundation first.

Here’s what we did instead:

  • Compiled internal data from studies, surveys, customer service, sales, and product teams.
  • Built a trust section on the homepage, highlighting key testimonials, trust headers, and case studies to establish credibility.
  • Added reviews and social proof, incorporating testimonials, ratings, and real customer experiences throughout the site to validate the product’s value.
  • Replaced “features” messaging with benefits, focusing on how the product solves customer pain points and delivers real value.
  • Revamped the CTAs, creating clear, benefit-driven calls to action that made it obvious what users could expect when clicking.

Dig deeper: SEO and website design: How to build search engine-friendly sites

The results: More sales without more traffic

We didn’t increase the site’s traffic, but that didn’t matter. By making those updates, we drove immediate results:

  • More time spent on site
  • Higher conversion rates
  • Increased sales

And we did it without touching any traditional SEO deliverables.

The lesson: Focus on what moves the needle

This experience was a powerful reminder that sticking rigidly to standard deliverables can hurt growth. 

Many consultants and agencies focus on checking off tasks – writing blog posts, optimizing for keywords, and building backlinks – without addressing the real issues blocking business growth.

But SEO isn’t about following a fixed playbook. 

It’s about diagnosing roadblocks and opportunities to grow – then finding the right solution, even if that means abandoning the “usual” tactics.

Dig deeper: How SEO grows brands: The science behind the service

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More things to keep in mind before executing your SEO

Before diving headfirst into an SEO campaign, take a step back. 

Too many people rush in, thinking keywords and backlinks are the magic fix. 

But without a strong foundation, it’s like building a house on quicksand. 

Here’s how to set yourself up for success.

1. Get clear on your goals and audience

Why are you doing this in the first place? 

If you don’t know the answer, stop right there. 

Whether you’re aiming to boost product sales, generate leads, or increase brand awareness, your goal will shape your entire SEO strategy.

And don’t forget about your audience. 

What do they care about? What keeps them up at night? 

The more you know, the better you can meet them where they are.

One of the most effective SEO strategies is to focus on your customers first. 

The better you understand and serve their needs, the more your content will naturally align with what they’re searching for.

2. Give your website a reality check

Your website might look great, but is it working as hard as it could be? 

Before looking at traffic, do a deep dive. 

Check for trust factors, broken links, slow page speeds, indexing issues, and outdated content.

Think of this like tuning up a car before a road trip. Don’t hit the gas until you’re sure everything is running smoothly.

3. Spy on your competitors (in a good way)

You don’t need to reinvent the wheel. 

Look at who’s ranking at the top in your industry and analyze what they’re doing. 

  • What keywords are they targeting? 
  • What type of content are they creating? 
  • Where are they getting their backlinks?

You’re not copying them. You’re learning from their wins (and avoiding their mistakes).

4. Diversify your traffic: Don’t put all your eggs in Google’s basket

Think about where your audience spends time. 

When planning SEO efforts, don’t just focus on rankings. Consider how your content can be shared across multiple platforms from the start.

This way, you’re not only getting more eyes on your content with less effort, but you’re also making your SEO work last longer.

Dig deeper: How to diversify your traffic sources

5. Set up tracking tools to measure progress

SEO without tracking is like throwing darts blindfolded. 

Use Google Analytics and Search Console to monitor what is and isn’t working.

Keep an eye on organic traffic, keyword rankings, and conversions. 

Data doesn’t lie, and it’ll help you refine your strategy over time.

6. Create a plan that ties into business goals

Before you start, map out a strategy that aligns with your business goals. 

Focus on creating landing pages and content that solve problems, answer questions, and fit different stages of the customer journey.

Quality over quantity wins every time.

By building this foundation, you’re setting yourself up for long-term growth – not just a quick bump in traffic. 

It’s about stacking the odds in your favor before the game even begins.

Takeaway: Build a strong foundation first for better growth

If your website isn’t converting, SEO won’t magically fix the problem.

Take a step back. Look at what’s broken in your user journey. Improve what’s already there.

Growth doesn’t come from checking boxes. It comes from solving real problems that hold your business back.

You can drive traffic with SEO, but if your site lacks the basics – trust, clear messaging, fast loading speeds, or conversion-focused design – that traffic will slip through your fingers or fail to grow.

By focusing on a strong foundation, you set yourself up for long-term success.

This isn’t about short-term spikes in traffic, but building momentum that compounds over time.

Before launching your next SEO campaign, ask yourself: 

  • What’s missing from my foundation that could help growth take off faster and last longer?

Fix that, and SEO won’t just drive results. It will scale your business to new heights.

Dig deeper: Driving traffic but not leads? How to win with SEO and CRO

If you think that Search campaigns in Google Ads are still a text-only ad format, you are missing out!

Image assets for search campaigns are a relatively new Google Ads feature that can help boost your click-through rate (CTR) and stand out from your competitors.

Here’s what you’ll learn in this article:

  • What are image assets for search campaigns?
  • Eligibility requirements for image assets
  • How to use image assets for search campaigns
  • How to avoid image asset disapprovals

What are image assets for search campaigns?

Image assets for search campaigns allow you to make your responsive search ads more appealing and eye-catching.

You can upload up to 20 square or landscape images (square is required, landscape is optional), which may appear alongside your headlines and descriptions.

If someone clicks on your image asset, they’ll be directed to the same landing page as if they had clicked on your headline.

Eligibility requirements for image assets

Although you can set up a new Google Ads account, create a campaign and launch it in a matter of minutes, you can’t use image assets from day one.

In order to use image assets for search campaigns:

  • Your account must be active for at least 60 days.
  • You must have been spending on search ads for at least 28 days.
  • Your account must be in good policy compliance.
  • You can’t operate in certain sensitive interest categories.

How to use image assets for search campaigns

As long as you meet the eligibility criteria, you should definitely start using image assets for all your search campaigns.

You can add image assets at the campaign or ad group level, up to 20 images per campaign. Google recommends having at least four images per campaign.

You can either upload image assets yourself, or use dynamic image assets; this gives Google permission to pick and choose images from your landing pages.

And, if you have search partners enabled in your search campaign settings, your image assets will be eligible to appear in YouTube search results.

How to avoid image asset disapprovals

Because these images appear on Google’s precious SERP, image assets are subject to strict editorial guidelines.

For example, your images could get disapproved if you:

  • Add text on the image
  • Have too much whitespace
  • Upload a collage of images
  • Use a blurry image
  • Provide a heavily edited image
  • Choose prohibited content

If you haven’t tested image assets for search campaigns, and you’re eligible to do so, give them a try!

Advertisers that use image assets see a 6% uplift in CTR, according to Google.

This article is part of our ongoing weekly Search Engine Land series, Everything you need to know about Google Ads in less than 3 minutes. Every Wednesday, Jyll highlights a different Google Ads feature, and what you need to know to get the best results from it – all in a quick 3-minute read.

Top AI tools and tactics you should be using in PPC

AI has been a part of PPC for years through features like smart bidding and audience targeting. 

But in the past 12-18 months, its influence has expanded – reshaping how PPC managers plan, execute, and optimize campaigns.

By leveraging AI, you can streamline processes, improve performance, and focus on higher-level strategy. 

This article covers 15 essential AI tactics and the best tools to enhance your PPC management – from content creation to data analysis.

The top AI tools for PPC marketers

A variety of tools are available to assist with setting up and managing PPC campaigns, each offering unique capabilities and benefits. 

Advertising platforms are also evolving, with innovations like TikTok Symphony Creative Studio leading the way.

Below are my recommended tools, categorized into content creation, visual creation, and data management. 

Many of these tools offer free versions, allowing you to generate a limited number of outputs at no cost.

Content creation

  • ChatGPT: Generates content at scale from prompts (from $0/month).
  • Claude: Generates content at scale from prompts (from $0/month).
  • Optmyzr: Provides ad copy suggestions (from $208+/month).

Visual creation

  • Canva: Creates imagery and video from prompts (from $0/month).
  • Synthesia: Generates video content from scripts and prompts (from $0/month).
  • Runway: Produces imagery from prompts (from $0/month).
  • Microsoft Copilot: Generates visuals from prompts (from $0/month).

Data analysis

  • ChatGPT: Visualizes and analyzes large datasets (from $0/month).
  • Claude: Visualizes and analyzes large datasets (from $0/month).
  • Optmyzr: Analyzes data and provides performance recommendations (from $208+/month).

Dig deeper: How does AI work in PPC?

Key ways AI can support PPC managers

AI should be embraced, not feared. When used effectively, it has vast potential to enhance PPC campaign management. 

Its applications can be grouped into three key areas: planning, building and managing, and reporting.

Planning

Building and managing

  • Ad ideation.
  • Landing page content.
  • Creative concepts.
  • Video scripting.
  • Image generation.
  • Account structures.
  • Bidding.
  • Feed optimization.

Reporting

  • Report summaries.
  • Theorizing.
  • Stress-testing.

By leveraging AI in these areas, you can free up time to focus on high-level strategy and tasks that drive greater impact.

15 tactics to use AI in PPC

AI can enhance every stage of PPC management – from research and ad creation to performance analysis. 

Here are 15 actionable ways to integrate AI into your campaigns. We’ll explore several of these tactics in more detail below.

  1. Formulating a successful prompt.
  2. Researching competitor offerings.
  3. Understanding user buyer intent.
  4. Finding ideal audiences to target.
  5. Identifying what users are searching for.
  6. Building ad variations.
  7. Stress-testing performance feedback.
  8. Developing creative concepts based on audiences.
  9. Creating video concepts from specific scenarios.
  10. Turning video concepts into scripts.
  11. Reducing production costs through image generation.
  12. Improving product feed attributes.
  13. Summarizing performance from data sets.
  14. Creating a PPC assistant with custom GPTs for reusable prompts.
  15. Using a Google Sheets plugin to run AI in bulk.

Formulating a successful AI prompt

A well-crafted prompt is essential for effective AI outputs – whether it’s Google’s bidding algorithms relying on first-party data (like conversion volumes and targets) or ChatGPT generating ad copy ideas. 

Weak prompts lead to subpar results.

The more detailed information, context, and guidance you provide, the better the output will be. 

The quality of your prompt directly affects the accuracy, tone, and relevance of the AI’s response.

When writing an AI prompt, be sure to include these key elements:

  • Desired output format – e.g., a list, table, or summary.
  • Specific request – e.g., “10 ad ideas.”
  • Intended recipient – e.g., “For Anicca Digital” (include a URL if possible).
  • Context – e.g., “Anicca Digital is a digital marketing agency.”
  • Target audience – e.g., “Marketing managers.”
  • Usage location – e.g., “Google Ad copy.”

Example of a low-quality prompt

Example of a low-quality prompt

Example of a good prompt

Example of a good prompt

The difference in outputs

Incomplete or vague prompts lead to basic, less tailored, and less relevant AI outputs. 

To achieve optimal results, your prompts should be precise and clear, providing detailed instructions on the desired output.

AI tools like ChatGPT can be refined through iterative prompting. If the initial response isn’t effective, you can adjust the prompt to improve the output.

Bad prompt vs. Good prompt

Dig deeper: ChatGPT for PPC: 17 strategic prompts you can use today

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Competitor research

AI can streamline competitor research by quickly gathering and organizing information. 

Tools like ChatGPT can assist by:

  • Creating a table of price points.
  • Building a matrix of key features.
  • Analyzing landing pages for calls to action.

Example output

Example output - Competitor research

Finding ideal customers to target

Audience insights are essential for successful paid media campaigns across platforms like Google, Meta, LinkedIn, and YouTube

AI can help identify ideal customer profiles, preferred platforms, and messaging that resonates with them.

You can generate detailed audience personas by providing AI tools like ChatGPT or Claude with information about a brand, its website, and its offerings. 

These personas guide ad copy and creative development, ensuring your messaging aligns with customer motivations.

Finding ideal customers to target with AI

Understanding what users are searching for

AI can significantly enhance the traditionally manual keyword research process, making it faster and more interactive.

Similar to using classic keyword tools like Google Keyword Planner or Semrush, AI provides diverse results based on your prompt. You can:

  • Give the AI context about the business or brand.
  • Refine the output by providing additional guidance.
  • Request search volumes and specify the target location.

After generating keywords, you can validate the search volumes or estimate CPCs using traditional research tools.

Example prompt

Understanding what users are searching for - Example prompt

Example outputs from ChatGPT and Claude

Understanding what users are searching for - Example outputs from ChatGPT and Claude

Building ad variations

AI tools like Claude can help overcome creative blocks by generating ad copy ideas and variations. AI can assist in the following ways:

  • Suggesting ad copy: Provide detailed prompts, including brand context (with a URL if possible), target audience, and ad placement.
  • Incorporating audience insights: Use AI-generated audience personas to identify key motivators and tailor messaging.
  • Analyzing competitors: Ask AI to review competitor materials, such as customer reviews, to highlight pain points your business can address.
  • Creating scripts for ad visualization: Use AI to generate scripts or code (e.g., Google Apps Script) to visualize ad copy in structured formats.
Ad copy visualizer

Dig deeper: 4 practical ways to use generative AI for ad copywriting

Stress testing performance feedback

AI can act as a secondary voice of reason when you need to analyze or validate campaign performance. 

This is especially useful if you are working independently or want to prepare for meetings.

AI can help stress-test:

  • Performance changes.
  • Campaign strategies.
  • Key performance factors.
  • New channel adoption.

Tools like ChatGPT can simulate potential challenges and questions, enabling you to refine your approach and deliver stronger reports.

Example ChatGPT output

Stress testing performance feedback - Example ChatGPT output

Improving product feed attributes

Optimized product feeds are critical for successful shopping campaigns. 

However, managing large product catalogs often results in incomplete or suboptimal attributes.

AI tools like ChatGPT can assist by:

  • Providing strategies to improve product titles and attributes.
  • Handling individual optimizations or bulk edits through document uploads.
  • Integrating with Google Sheets for large-scale feed enhancements.

Example individual product title optimization output

Example individual product title optimization output

Example Google Sheets bulk output

Using the GPT for Sheets and Docs plugin, you can automate bulk optimizations. By applying AI-generated formulas, you can quickly return answers across multiple rows.

  • Use formulas to generate enhanced product attributes.
Example Google Sheets bulk output
  • Apply the concatenate formula to append or prepend missing values (e.g., color or brand) to existing product titles.

Final thoughts

AI is transforming PPC management. Adopting it allows you to optimize workflows, enhance campaign performance, and free up time for strategic initiatives and first-party data development.

However, AI is only as effective as the information it receives. PPC managers must guide, refine, and quality-check AI outputs to ensure the best results.

[Watch] 15 AI tools and tactics you should be using in PPC

Watch my full SMX Next 2024 session here.