Ask Jeeves Is Gone After Nearly 30 Years Of Search via @sejournal, @MattGSouthern

Ask.com, the search engine that started life as Ask Jeeves, shut down. Parent company IAC discontinued its search business as part of an ongoing effort to refocus its operations.

A farewell message posted on the Ask.com homepage, reads:

“Every great search must come to an end. As IAC continues to sharpen its focus, we have made the decision to discontinue our search business, which includes Ask.com.”

The message thanked the engineers, designers, and teams who built the platform over the decades, as well as the users who relied on it. It closed with a short line: “Jeeves’ spirit endures.”

What Ask Jeeves Was

For anyone who came online after 2005 or so, Ask Jeeves might just be a name. But for users who first experienced the web in the late 1990s, Jeeves was something new.

Garrett Gruener and David Warthen founded the company in Berkeley, California, in 1996. The service launched publicly as AskJeeves.com and introduced an idea that felt strange at the time.

Instead of typing keywords the way every other search engine expected, Jeeves encouraged users to type a full question in plain English. The search engine would try to return a direct answer.

The mascot, a cartoon butler named after the fictional valet in P.G. Wodehouse’s novels, became one of the most recognizable characters on the early internet. Jeeves made search feel approachable when the web was still intimidating to millions of new users. Jeeves also crossed into mainstream advertising, including appearances tied to the Macy’s Thanksgiving Day Parade.

Ask Jeeves went public in 1999, riding the dot-com boom. By that point, the search engine was already handling over a million queries a day. It competed alongside Yahoo, AltaVista, Excite, and Lycos in a search market that hadn’t yet consolidated around a single winner.

Google’s rise changed the market.

The Long Decline

Google’s PageRank algorithm delivered better results faster, and users noticed. Ask Jeeves tried to keep pace. In 2001, the company acquired Teoma, a search technology firm with its own way of ranking credibility. The Teoma engine powered Ask’s organic results and earned respect among search professionals for its quality.

But the gap kept widening. IAC acquired Ask Jeeves in 2005 and quickly dropped “Jeeves” from the name. The rebrand to Ask.com was meant to modernize the product and position it for broader competition.

It didn’t work. By 2010, Barry Diller said at TechCrunch Disrupt that Ask.com couldn’t compete with Google and carried no value in IAC’s stock. That same year, Ask.com shut down its own web crawler and laid off much of its engineering staff. Core search functions were outsourced to third-party providers. The company pivoted to a question-and-answer community model.

That kept the lights on for another 16 years, but Ask never came close to relevance again.

SEJ Was There

Search Engine Journal covered Ask Jeeves extensively during its peak years.

SEJ founder Loren Baker reported in 2005 on the company’s plans to launch a paid search advertising platform to rival Google and Yahoo. He covered the rebrand rumors when Diller first floated the idea of dropping the Jeeves name. He tracked the iWon and Excite acquisitions that briefly doubled Ask Jeeves’ market share.

Those articles are now a time capsule of the era when search was still a multi-player race.

Why This Matters

Ask Jeeves pioneered asking questions in one’s own words, but Google’s rise made keyword searching standard. Now, natural-language search is central again, with Google’s AI features built on Jeeves’s original premise of asking questions in plain language.

Looking Ahead

IAC’s farewell message gave no indication of plans for the Ask.com domain or any associated properties. The shutdown appears to end IAC’s consumer search business under the Ask brand.

For the search industry, the closure is a reminder of how fast the market consolidated after Google’s rise. Of the best-known consumer search brands from that period, Google is the one that emerged with an independent global search engine.


Featured Image: viewimage/Shutterstock

What Google & Microsoft Earnings Say About Search via @sejournal, @MattGSouthern

Alphabet reported Q1 2026 earnings with Google Search & Other revenue rising 19% year over year to $60.4 billion. Microsoft announced on the same day that Bing reached 1 billion monthly active users for the first time, with search ad revenue up 12%.

Both companies posted strong search quarters. But one line item in Alphabet’s report tells a different story for the websites that depend on Google’s ad network for revenue.

Google Network Revenue Fell Below $7 Billion

The “Network” segment, including AdSense, AdMob, and Google Ad Manager, isn’t a proxy for the entire web’s ad economy but is a clear financial indicator tied to ads outside Google’s surfaces. For publishers and app developers relying on Google-brokered ads, the decline affects them more than it affects Search revenue growth.

It has been shrinking over two years, with Google Network declining each quarter from Q1 2024 to Q1 2026. Q1 2026’s $6.97 billion is the lowest, below $7 billion for the first time.

The gap is increasingly evident. In Q1 2024, Google Network accounted for about 12% of Google’s ad revenue; by Q1 2026, it fell to roughly 9%. Meanwhile, Google Search & Other grew from $46.2 billion to $60.4 billion, with Search expanding 31% and Others contracting 6%.

The decline doesn’t match the overall digital ad market. The IAB/PwC Internet Advertising Revenue Report found that U.S. programmatic advertising grew 20.5% in 2025 to $162.4 billion. The programmatic market grew while Alphabet’s Google Network line didn’t.

The quarterly numbers smooth over sharper disruptions at the publisher level. In January, a two-day technical failure in Google’s ad exchange led AdSense publishers to report eCPM and RPM drops of 50-90% without corresponding declines in traffic. Google resolved the issue, but it showed how fragile publisher-side network monetization can be.

Bing’s Milestone In Context

While Google’s revenue mix hints at an ecosystem shifting inward, Microsoft is leaning heavily into user acquisition to prove its AI bets are paying off.

CEO Satya Nadella revealed during the FY26 Q3 earnings call that Bing reached 1 billion monthly active users for the first time. Search ad revenue, excluding traffic acquisition costs, grew 12%. Edge has gained browser market share for 20 consecutive quarters.

The broader segment, which includes Bing, was down 1% overall to $13.2 billion. Search advertising was the bright spot within it.

Bing’s global search share still sits at about 5% worldwide per StatCounter’s March 2026 data. That gap between 1 billion MAU and roughly 5% global share raises questions about what the MAU figure measures. Microsoft hasn’t defined frequency, overlap, or how AI-related Bing usage is counted.

Microsoft is also building measurement tools that matter for SEOs. Bing Webmaster Tools now maps grounding queries to cited pages, and Microsoft previewed Citation Share at SEO Week in April. When Citation Share ships, it could become one of the first platform-provided tools for comparing AI visibility on Bing against competitors.

CFO Amy Hood reported Q4 search ad growth in the high single digits, down from three double-digit quarters. Nadella said the consumer business is doing “the foundational work required to win back fans.” Bing’s results support maintaining coverage, not dropping Google-first focus.

Why This Matters For Search Professionals

For over a year, SEO professionals have monitored whether AI Overviews and AI Mode decrease clicks to publisher sites. These reports don’t settle that question but support a pattern documented by independent research.

Google’s Search business is growing, with CEO Sundar Pichai calling queries “at an all-time high.” Chief Business Officer Philipp Schindler attributed the quarter’s strength to retail, finance, and health.

What’s contested is what happens after the query. Google Network revenue fell, while Search revenue accelerated, suggesting more searches stay on Google surfaces. The data doesn’t prove AI Overviews or AI Mode caused the Network decline. Google Network can decline for various reasons, such as ad demand and product changes, providing search marketers with another financial signal to compare with traffic, CTR, and publisher revenue.

Third-party data partially fills the gap, though studies measure different things. An Ahrefs study analyzed 300,000 keywords using desktop CTR data and found that AI Overviews correlate with 58% lower click-through rates. Chartbeat data shared by Axios showed small publishers lost 60% of search traffic over two years, medium publishers 47%, and large publishers 22%.

Seer Interactive tracked an organic CTR drop from 1.41% to 0.64% for queries with AI Overviews. Its April update showed some recovery. Organic CTR on AI Overview queries climbed from 1.3% in December to 2.4% in February. The worst of the initial drop may have eased, but CTR is still well below that of pages without AI Overviews.

Google’s Liz Reid on Bloomberg claims AI Overviews reduce “bounce clicks” rather than useful visits, but doesn’t provide supporting data. She said they track search recurrence, which measures Google’s retention rather than publisher traffic. Google executives made a similar argument at Google Marketing Live, calling clicks from AI-enhanced search “more highly qualified” without sharing supporting data.

Search activity continues to grow according to disclosed metrics. However, the value capture is shifting. Metrics like referral traffic, AdSense RPM, or organic CTR may no longer align with search revenue growth. Google’s revenue can rise even as publisher traffic declines.

What Neither Company Disclosed

Neither company disclosed how much AI-assisted query growth produces outbound clicks to publisher sites; that number has been absent from earnings reports since AI features launched in Search.

Pichai said queries are “at an all-time high,” referring to searches, not clicks to external sites. Microsoft hasn’t clarified what counts toward Bing’s 1 billion MAU, including whether Copilot interactions, API calls, or agent queries are included.

Looking Ahead

Pichai said more Search info will be shared at Google I/O in May and Google Marketing Live.

Microsoft’s Citation Share hasn’t shipped yet; once it does, it could be among the first platform tools for comparing AI visibility on Bing. Its usefulness depends on whether Microsoft discloses outbound click data alongside its MAU figures.

More Resources:

Google’s Preferred Sources Is Now A Global SEO Signal via @sejournal, @martinibuster

Google updated its Search Central documentation to reflect that the Preferred Sources feature is now available in all languages supported by Google Search. The change clarifies global availability and introduces updated guidance for publishers looking to grow their audience through Top Stories.

Preferred Sources

Google’s Preferred Sources feature gives users a way to choose specific publishers they want to see more often in Top Stories and other search surfaces like Google Discover. Preferred Sources is a direct user-controlled signal that works alongside Google’s ranking systems to up-rank websites users have indicated they want to see more of.

The effect on Google Discover is that users will see more of their preferred sources in their feed. The Preferred Sources feature is one of the few ways that publishers and SEOs can indirectly influence Google’s algorithm to show their sites more often to users.

Image Of A Preferred Sources Badge

Image contains the words

How Preferred Sources Works

Preferred Sources selections don’t override relevance. A publisher must still publish fresh content that aligns with a user’s interests.  Google Discover is a recommender system that shows users web pages that are relevant to a user’s interest, especially favoring fresh content (read more about Google’s freshness algorithm).

Google’s February 2026 Discover Core Update documentation made it clear that source preferences play a role in which sites are shown to users in Discover.

The documentation explains:

“We’ll continue to show content that’s personalized based on people’s creator and source preferences.”

What Changed

As of April 30th 2026, the feature is available in all languages supported by Google Search. This expands Preferred Sources from an English-only feature into a globally available system for users to signal their source preferences.

What It Means For Publishers

Preferred Sources functions as way for users to signal which sites they’d like to see more of, a signal that works alongside of other ranking factors.

The feature is one of the ways SEOs and publishers should use to build an audience. Publishers can guide users to select them through buttons and links.

Screenshot Of A Preferred Sources Badge

Image contains the words

Preferred Sources Now Available Globally

Google’s changelog confirms that the Preferred Sources feature is no longer limited to English-language content and is now available across all languages where Google Search operates. Google has also published downloadable buttons in sixteen languages that can be used by SEOs and publishers to encourage site visitors to choose the website as a preferred source.

List Of 16 Languages With Downloadable Buttons

  1. Danish
  2. English
  3. Estonian
  4. Finnish
  5. French
  6. German
  7. Hebrew
  8. Hindi
  9. Japanese
  10. Korean
  11. Portuguese (Brazil)
  12. Russian
  13. Spanish
  14. Swedish
  15. Turkish
  16. Ukrainian

The original documentation stated that the feature was “available globally in English,” which has now been removed and replaced with language confirming full international availability.

Documentation Updated To Reflect Broader Access

Google also revised supporting text to reflect the expanded reach of the feature. Language that expressly limited the availability to English language publications has been rewritten to emphasize global applicability.

For example, guidance around adding a Preferred Sources button has been updated to clarify that the feature is not limited to a subset of languages. The revised documentation explicitly notes that the feature is available in all supported languages, even if only certain assets are listed.

The updated documentation now explains:

“The preferred sources feature is available globally for queries that trigger the “Top Stories” feature in all languages where Google Search is available.

These methods are examples on how you can build your audience and help people find your site as a preferred source. It’s not required to do them in order to appear as a preferred source.”

Another new section about the Preferred Sources badge was updated with the following:

“Add a button to your site alongside your other social CTAs. You may use your own design or download the Google button assets provided in the list. Note: This feature is available in all supported languages, not just those listed.”

Google’s Changelog Offers Insight Into Change

The official changelog explains the reasoning behind the update:

“Expanding preferred sources to all languages where Google Search is available

What: Added that the preferred sources feature is now available in all languages where Google Search is available, including new translated downloadable button assets.

Why: The preferred sources feature is now available in all languages supported by Google Search.”

Takeaways For SEO

The expansion of Preferred Sources to all supported languages expands the opportunities for publishers in all languages to influence Google Search to show their websites to users. While publishers and SEOs can’t manipulate the signal itself they can positively influence their site visitors to influence Google Search.

For publishers, this means:

  • The ability to participate in Preferred Sources regardless of language
  • New opportunities to build audience signals tied to Top Stories
  • Clearer guidance on how to implement Preferred Source prompts
  • Preferred Sources is now available in all languages supported by Google Search
  • Publishers worldwide can now use Preferred Sources to build audience preference signals
Google Tells Developers To Build For AI Agents, Not Just Humans via @sejournal, @MattGSouthern

Google’s web.dev site now includes guidance advising developers to treat AI agents as a distinct audience alongside human visitors.

Titled “Build agent-friendly websites,” it tells developers that “some human users are pivoting from manual navigation to delegating goal-oriented journeys to AI agents.”

Google frames this as a design problem, noting that websites built with complex hover states and shifting layouts are “functionally broken for agents.”

What The Guide Covers

Google describes three ways agents interpret websites:

  1. Screenshots let agents use vision models to identify elements visually.
  2. Raw HTML gives agents the DOM structure and hierarchy.
  3. And the accessibility tree provides what Google calls a “high-fidelity map” of interactive elements, stripped of visual noise.

Google’s recommendations for agent-friendly design include using semantic HTML elements like and over styled

elements, keeping layouts stable across pages, linking tags to inputs with the for attribute, and setting cursor: pointer on clickable elements.

Google wraps up with a statement that highlights the connection between agent optimization and current web standards:

“Everything we suggest to make a site ‘agent-ready’ also makes sites better for humans.”

WebMCP As A Forward Signal

At the bottom of the guide, Google links to WebMCP, a proposed web standard for helping websites interact with agents. Chrome’s team describes it as an early preview program and is accepting sign-ups for developers who want to experiment.

WebMCP would let websites register tools with defined input/output schemas that agents can discover and call as functions. Slobodan Manic covered WebMCP last week as part of the broader protocol stack forming around agent interaction.

Why This Matters

Semantic HTML, stable layouts, and proper accessibility markup have been web development defaults for years, and we’ve covered agent-optimization in depth.

What’s new is Google making this an official developer resource. Putting agent-friendliness on web.dev signals that Google is treating agent interaction as part of its developer guidance, alongside established areas like accessibility and performance.

For sites that already follow accessibility best practices, there’s little to change. For those that don’t, the business case for semantic HTML now extends beyond screen readers to AI agents that browse, compare, and transact on behalf of users.

Looking Ahead

The WebMCP early preview program is open for sign-ups. Chrome is listed for Google I/O on May 19–20, giving developers another place to watch for updates on browser-based agent interactions.


Featured Image: Summit Art Creations/Shutterstock

AI Overviews Clicks Get Tested, Earnings Tell Two Stories – SEO Pulse via @sejournal, @MattGSouthern

This week’s Pulse covers how AI Overviews affect click behavior, what independent research shows, and what earnings reports from Google and Microsoft reveal about search revenue.

Here’s what matters for you and your work.

Reid Repeats “Bounce Clicks” Argument On Bloomberg

Google’s head of Search, Liz Reid, told Bloomberg’s Odd Lots podcast that AI Overviews are reducing “bounce clicks” from publisher pages. She has made versions of this argument in public appearances since last year.

Key facts: Reid described bounce clicks as visits where users quickly click a page, get a fact, and leave, noting AI Overviews remove such visits rather than deeper ones. Google hasn’t provided data to verify this, and third-party analyses show lower click-through rates when AI Overviews are present.

Why This Matters

Reid’s explanation has stayed consistent across at least three public appearances over the past year. The argument is that lost clicks were low-value to begin with, so publishers aren’t losing the visits that matter. The problem is that Google still hasn’t shared the data behind that claim.

Until Google publishes traffic or engagement metrics that separate bounce clicks from deeper visits, the explanation is a narrative, not a finding.

Read our full coverage: Google Pushes “Bounce Clicks” Explanation For AI Overview Traffic Loss

Field Experiment Finds AI Overviews Cut Organic Clicks 38%

Researchers at the Indian School of Business and Carnegie Mellon University published a working paper, which tests the effects of AI Overviews on user behavior in a randomized field experiment.

Key facts: The study used a Chrome extension to assign 1,065 U.S. participants to three groups: normal Search, Search without AI Overviews, and AI Mode. When AI Overviews appeared, organic clicks dropped 38%, and zero-clicks rose 33%. Removing AI Overviews did not affect satisfaction, perceived quality, or ease of finding information.

Why This Matters

The authors describe their work as the first randomized experiment to isolate the causal effect of AI Overviews on clicks. Prior studies from Seer, Chartbeat, and Pew were observational or correlational. The randomized design allows the researchers to say that AI Overviews caused the click reduction, not just that the two appeared together.

The satisfaction finding puts pressure on Reid’s argument. If removing AI Overviews doesn’t reduce user satisfaction, it’s harder to argue that the lost clicks were primarily low-value visits.

Read our full coverage: Google’s AI Overviews Cut Clicks Without Satisfaction Gain: Report

Google Search Revenue Grew 19% In Q1

Alphabet reported Q1 2026 revenue of $109.9 billion. Google Search revenue hit $60.4 billion, up 19% year over year, accelerating from 17% growth in Q4 2025.

Key facts: CEO Sundar Pichai said queries are at an all-time high and that AI experiences are tied to increased Search usage. Google Cloud crossed the $20 billion quarterly revenue mark, up 63%. Pichai told analysts that more information about Search will come at Google I/O in May.

Why This Matters

The revenue growth doesn’t settle the click-impact question. Google reported higher Search revenue and more queries, but those numbers describe the ad business, not the publisher traffic side. Higher revenue is consistent with both “clicks are fine” and “clicks are down, but ad yield per query is up.”

Google’s AI features may be creating new ad opportunities, but the earnings data doesn’t show whether your pages are getting more or fewer clicks from AI-influenced results.

What People Are Saying

Matthew Scott Goldstein, Independent Analyst/Advisor/Consultant at .msg, wrote on LinkedIn:

“This is what extraction at scale looks like dressed up as innovation. The same content fueling AI Overviews, Gemini answers, and enterprise token volume is the content publishers have sued over, lost referral traffic over, and watched get re-monetized inside a closed product.”

Read our full coverage: Google Search Revenue Grew 19% In Q1, Pichai Cites AI

Microsoft Says Bing Reached 1 Billion Monthly Active Users

Microsoft announced during its Q3 FY2026 earnings call that Bing has reached 1 billion monthly active users for the first time. CEO Satya Nadella revealed the figure alongside an 18% overall revenue increase to $82.9 billion.

Key facts: Search ad revenue, excluding traffic acquisition costs, grew 12% year over year. Edge maintained browser market share gains for the 20th straight quarter. The segment that includes Bing was down 1% overall at $13.2 billion.

Why This Matters

The 1 billion MAU milestone is notable, but Bing’s global search share sits at about 5% per StatCounter’s March 2026 data. That gap suggests the MAU figure needs context. Microsoft hasn’t defined frequency, overlap, or how AI-related Bing usage is counted.

On the AI search measurement side, Microsoft previewed Citation Share and three other Bing Webmaster Tools features at SEO Week earlier this month. When those ship, they could give Bing Webmaster Tools users a clearer way to compare AI citation visibility against competitors on Bing.

Read our full coverage: Microsoft Says Bing Reached 1B Monthly Active Users

Theme Of The Week: Everyone Is Measuring A Different Part Of Search

Every story this week is about the same question asked from a different angle: What is AI doing to search traffic?

Reid says the lost clicks were low-value. The field experiment shows that the lost clicks came without any trade-off in user satisfaction. Google’s earnings say revenue is up 19%. Microsoft’s earnings say Bing hit a user milestone, but it still holds a 5% share. Each one measures something real, and none of them measure the same thing.

The gap between what platforms report and what publishers experience doesn’t appear to be closing. The public data needed to answer the click question directly still isn’t available. Per-query click behavior segmented by AI feature presence isn’t in any tool that Google or Microsoft has shipped.

Top Stories Of The Week:

More Resources:


Featured Image: PeopleImages/Shutterstock; Paulo Bobita/Search Engine Journal

New: AI Brief And Text Disclaimers Come To Google AI Max via @sejournal, @brookeosmundson

Google is rolling out two new features for AI Max that aim to address a common tension: bridging the gap between manual control and execution.

The first new feature is called AI Brief, which allows advertisers to guide AI using natural language inputs.

The other feature announced was Text Disclaimers, which address a long-standing limitation for regulated industries.

If you’re already using AI Max or debating whether to adopt it, keep reading to understand how these can impact your campaigns.

AI Brief Gives Advertisers A Direct Way To Guide AI

Google Gemini powers the new AI Brief feature. Advertisers can guide AI Max using their own words by providing more context on the brand, messaging inputs, and audiences.

Google grouped this into three types of guidelines:

  • Messaging Guidelines: Tell AI Brief what exactly ads should or shouldn’t say. Use words like “always” or “never” to make it clear.
  • Matching Guidelines: Create search query boundaries for the types of searches you want to show up for, or to avoid.
  • Audience Guidelines: Tell AI Brief about the type of consumer you’re going after to serve them more tailored messages.

AI Brief for AI Max is rolling out in English for Search campaigns in the upcoming months. Then, it will gradually roll out to Shopping and Performance Max campaigns.

Text Disclaimers With Final URL Expansion (FUE)

For anyone in a regulated industry that needed more control over ad copy, this update’s for you.

Up until now, text customization could be used as long as FUE wasn’t enabled.

Advertisers that require specific legal or compliance language have often avoided Final URL Expansion. Missing required disclosures can create legal, brand, and approval risk.

Now, Google launched text disclaimers to guarantee required text always appears in your ads, while being able to use FUE. This means advertisers can maintain their required ad compliance and can still leverage AI if a different landing page is better aligned with a user’s search.

Per the announcement, text disclaimers are rolling out in the coming weeks globally in all languages.

What This Means For Advertisers

These are the types of updates that should make every marketer happy, in my opinion.

Google is giving advertisers a clearer way to communicate intent with their AI Brief, instead of having to rely on signals like past performance or feeds. We can now define how the system should approach messaging, matching, and audiences from the start.

That matters in accounts where nuance plays a role. Brand voice, product positioning, and audience differences are not always captured cleanly through existing inputs.

Text disclaimers are a huge opportunity, not only for highly regulated industries, but for any advertiser who needed strict text control for one reason or another.

Google deserves credit here by starting to build in controls that make automation usable for advertisers with stricter requirements.

There will still be a need to validate how these features perform in practice. Advertisers should monitor how well AI Brief translates guidance into actual outputs, and confirm that disclaimers are consistently applied across variations.

But this is a meaningful step toward broader adoption of AI Max across industries that have historically been more cautious.

Looking Ahead

With Google Marketing Live coming up, this feels like more groundwork for other AI Max announcements.

If these features land well, it wouldn’t be surprising to see Google expand on them with more industry-specific control or deeper guidance inputs tied to business data.

Will you be testing out these new features when they’re launched now that some of the risk has been addressed?

More Resources:


Featured Image: Google/Edited by Author

AI Search Clicks Often Go To Local Domains: Report via @sejournal, @MattGSouthern

Aleyda Solis, founder of Orainti, analyzed 87 million AI search visits across 10 markets, finding most clicks go to local domains rather than global defaults.

Using Similarweb data, she examined more than 57,000 domain-market entries in the ‘click-producing layer.’ This layer includes visits to a domain after users click citations or links in AI-generated answers.

The analysis complicates the assumption that the biggest global brands automatically dominate AI search results.

The Main Pattern

In non-US markets, local domains with stronger signals drive the click layer. For example, Bol.com leads in Dutch ecommerce, MercadoLivre in Brazil, Bahn.de in Germany, and Lefrecce.it in Italy, ahead of global competitors like Amazon or Booking.com.

Solis suggests this reflects who has the usable answer locally, not brand size. For instance, Lefrecce has train route data for Milan to Rome, while Booking.com does not. Thus, AI search visibility often depends on local infrastructure.

Different Verticals, Different Rules

In ecommerce, five domains account for 50% of clicks, with platforms like Amazon dominating. Finance is less concentrated, accounting for 17 domains, while travel is highly fragmented with 47. Finance appears concentrated, with Stripe ranking first in 7 of 10 markets, driven by demand from B2B, developers, merchants, and infrastructure, rather than consumers.

PayPal leads in Germany and Italy. The investing sub-category accounts for 22.4% of finance AI clicks, with TradingView ranking in the top 20 across all markets. Travel discovery and booking are more dispersed. Italy’s ecommerce is concentrated, with Amazon.it capturing 46.2% of clicks; combined with Temu, over half. UK travel requires 129 domains for 50% of clicks.

Growth Is Uneven

The report reveals churn behind overall growth. The median monthly growth for the top 50 domains was +20% in ecommerce, +25% in finance, and +29.1% in travel. Many markets and verticals saw about 30% to 40% of top domains decline, e.g., Spain ecommerce with 21 of 49 domains and France finance with 22 of 50.

Solis notes that weighted averages can be distorted by small-base spikes, citing domains like azulviagens.com.br and innovasport.com with large one-month jumps, suggesting investigations rather than trends. Momentum offers more insight than a static snapshot, as a losing top domain may require more focus than a steady top-50 position.

Why This Matters

For brands working across multiple markets, the data suggests that AI search competitors may not be the same competitors they track in traditional SEO.

In Italian travel, the key domain for rail intent may be Lefrecce.it. In Dutch ecommerce, it may be Bol.com. In German travel, it may be Bahn.de.

Solis recommends a straightforward audit question: who holds the operational data, structured inventory, or institutional trust that AI needs for category tasks in each market?

Looking Ahead

The report highlights three gaps for international brands: presence in AI-driven answers, click acquisition, and domain ownership of customer relationships.

Solis plans to update the analysis monthly. The next pull will show whether the local-domain pattern holds.


Featured Image: RobinRmD/Shutterstock

Microsoft Says Bing Reached 1B Monthly Active Users via @sejournal, @MattGSouthern

Microsoft announced that Bing has reached 1 billion monthly active users for the first time. CEO Satya Nadella revealed this figure during the Q3 FY2026 earnings call.

Revenue from search ads, excluding traffic acquisition costs, increased by 12% year over year. Additionally, Edge has maintained its browser market share for 20 consecutive quarters.

Overall, Microsoft reported total revenue of $82.9 billion for the quarter, marking an 18% increase.

Search & Advertising

The segment that includes Bing was down 1% overall at $13.2 billion. Search advertising was the bright spot, with CFO Amy Hood pointing to higher volume and revenue per search.

Nadella was direct about where the consumer business stands:

“When it comes to our consumer business, we are doing the foundational work required to win back fans and strengthen engagement across Windows, Xbox, Bing, and Edge. In the near term, we are focused on fundamentals, prioritizing quality and serving our core users better.”

Search ad growth has held in double digits for three straight quarters. It grew 16% in Q1 FY2026, 10% in Q2, and 12% this quarter. For Q4, Microsoft guided that growth to the high single digits, a step down.

Back in 2023, Microsoft reported 100 million daily active users when it first added AI to Bing. Going from 100 million daily to 1 billion monthly is a big jump, though it’s unclear whether Copilot interactions count toward that number.

Edge is part of the story, too. It typically defaults to Bing, so five years of Edge growth means more people landing on Bing without actively choosing it.

Why This Matters

Edge has gained share for five straight years, and search ad revenue has grown in double digits for three consecutive quarters.

Microsoft has also been building the measurement tools to go with it. Bing Webmaster Tools now maps grounding queries to cited pages, and Microsoft previewed Citation Share at SEO Week earlier this month.

Still, Bing’s global search share sits at about 5% worldwide per StatCounter’s March 2026 data. That gap between 1 billion MAU and 5% share suggests a lot of those users are low-frequency or showing up through default settings rather than choosing Bing.

Looking Ahead

Microsoft’s next earnings call will show whether search ad growth picks back up or settles into single digits.

The Citation Share feature Microsoft previewed at SEO Week hasn’t shipped yet. When it does, it could be the first tool for tracking how your site’s AI visibility on Bing compares to competitors.

Google Launches AI Max For Shopping and Travel Campaigns via @sejournal, @brookeosmundson

Google has officially expanded AI Max to Shopping and Travel campaigns as it hits one year in market.

The announcement comes on the heels of its upcoming annual Google Marketing Live event on May 20th.

Google noted that AI Max has become the fastest-growing AI-powered Search ads product.

Both AI Max for Shopping and Travel campaigns are rolling out as closed betas globally in all languages.

Read on to understand how AI Max will work with Shopping campaigns and travel-specific vertical ads.

AI Max for Shopping Campaigns

Google confirmed that it will use an account’s linked Merchant Center feed to create dynamic Shopping ads that help answer “conversational queries.”

One of the reasons Google is expanding AI Max to Shopping ads format is that it’s become more “difficult to manually meet every search with the right ad.”

AI Max for Shopping is meant to better capture long-tail searches and showcase your ad in a way that meets the user where they’re at.

Three components of AI Max for Shopping campaigns include:

  • Text customization: Creates ad copy for Shopping ads to better align with shopper intent and conversational searches
  • Final URL Expansion (FUE): Matches your website’s most relevant landing page(s) to the shopper’s intent
  • Optimal Format Selection: Automatically selects the best format (either text-only or Shopping ads) based on what’s most relevant to the individual shopper
Credit: Google, April 2026

Similar to the rollout of AI Max for Search, advertisers will be able to upgrade to AI Max with one click. However, you can turn off Final URL Expansion (FUE) at any time.

Existing product targeting controls and bidding structures will still stay in place.

Travel Ads Shifting to Search Campaigns For Travel

Not only is AI Max coming to Travel ad formats, but the way travel ads are managed is changing.

Google announced the shift to Search Campaigns for Travel, which brings in travel feeds and formats into standard Search campaigns.

The goal is to simplify workflow while providing more AI-powered campaign management.

Credit: Google, April 2026

Some of the benefits Google noted with this change include:

  • Consolidated buying door: Removes multiple campaign types into a single campaign, while retaining all previous feature and advanced controls across travel formats.
  • Real-time enhancements: Utilize travel feed and keywords, as well as AI Max functionality.
  • New and unified reporting: Travel ad format data will now be in one view because of the migration to Search campaigns

What This Means For Advertisers

Google is expanding AI Max while many advertisers are still evaluating the first version of it.

But, for most advertisers, this isn’t yet available and it may be weeks or months before it rolls out to general availability.

Some accounts have seen positive results from broader query coverage and automated optimization. Others have questioned how much visibility they lose in exchange, especially as Dynamic Search Ads begin shifting into AI Max. For advertisers who relied on tighter controls, that hesitation is understandable.

In the meantime, while advertisers wait for AI Max expansion in their accounts, the best thing to do now is clean up the areas automation depends on.

That can include items like optimizing Shopping and Travel feeds, landing pages, and reviewing conversion tracking accuracy.

Additionally, if you’re already running AI Max for Search, keep close eye on what types of queries your ads are already showing up for. Having a good negative keyword strategy going into this expansion can help save time and money.

Looking Ahead

With Google Marketing Live coming up, this announcement likely sets up a broader AI Max push for further launches.

It wouldn’t be surprising to see Google expand it beyond individual campaign types, along with more clarity on reporting and when advertisers should or shouldn’t use it.

Measurement will likely be part of that conversation as well, especially as advertisers continue asking where performance is actually coming from.

We will have a clearer picture soon, but AI Max is quickly becoming a bigger part of how Google expects campaigns to run moving forward.

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Google Search Revenue Grew 19% In Q1, Pichai Cites AI via @sejournal, @MattGSouthern

Alphabet reported Q1 2026 earnings, with Google Search & Other revenue rising 19% year over year to $60.4 billion. CEO Sundar Pichai tied the quarter’s Search performance to AI Overviews and AI Mode, saying people are “coming back to Search more.”

Q1 revenue was lower sequentially than Q4 2025, when Search & Other came in at $63.1 billion, but year-over-year growth increased from 17% to 19%. Total Alphabet revenue reached $109.9 billion, up 22%.

What Pichai Said About Search

In his prepared remarks, Pichai connected the Search number to AI experiences, stating:

“People love our AI experiences like AI Mode and AI Overviews, and they’re coming back to Search more.”

Pichai also said, “queries are at an all-time high.” He described “strong growth in both users and usage of AI Mode globally” without sharing an exact figure. Past Google disclosures put AI Mode at roughly 100 million monthly active users and 75 million daily.

Pichai said AI Overviews “are driving overall Search growth.” Liz Reid made a similar engagement argument on Bloomberg’s Odd Lots earlier this month, describing AI Overviews as reducing low-value clicks rather than reducing useful traffic.

New Data On Search Speed And AI Costs

Pichai shared two efficiency figures.

The first was latency. Pichai said:

“Even as we’ve brought new AI features into our results page, we’ve reduced Search latency by more than 35% over the past five years.”

The second was the cost of running AI responses. He continued:

“Since upgrading AI Overviews and AI Mode to Gemini 3, we’ve reduced the cost of core AI responses by more than 30% thanks to continued hardware and engineering breakthroughs.”

Search Updates Pichai Highlighted

Pichai highlighted three Search rollout items from the quarter.

Personal Intelligence “expanded broadly in the U.S.,” referring to Google’s March expansion of Personal Intelligence to free U.S. users.

Agentic experiences shipped to new countries. Pichai cited restaurant booking as one of the early examples of what Pichai has called “search as an agent manager.”

Search Live multimodal capabilities went global.

Why This Matters

Over the past year, SEO professionals worried AI Overviews would reduce clicks to sites by satisfying user intent on the results page. Q1 numbers challenge that idea. If AI were cannibalizing traditional search, query volume and revenue would flatten. Instead, both increased.

But this doesn’t mean concerns are unfounded. “All-time high queries” doesn’t imply all-time high publisher clicks. Google hasn’t disclosed click-through rates or revenue split between AI Mode and traditional ads. More queries could mean fewer clicks per query if AI answers resolve intent early.

However, the revenue growth indicates the search ecosystem is expanding, even as user interaction patterns shift.

Looking Ahead

Google’s earnings show AI features are expanding search, but key questions remain about monetization and click-through rates.

Pichai said more info about Search will be shared at Google I/O in May and Google Marketing Live.