Searchlight is Aztek's marketing news roundup that brings together the week’s most relevant developments in marketing, search, AI, and digital strategy, all in one place. We update this article throughout the week with news we think is worth your time, along with context to help you understand what changed, why it matters, and what it could mean for your business.
This week's topics:
06/01: AI Email Summaries Are Becoming the New First Impression
Email marketers have spent years obsessing over subject lines and preview text. Those "first impression" elements were often the deciding factor in whether an email was opened or ignored. Today, they still play an important role in getting attention, but they may no longer be the first thing someone sees when they open their inbox.
Why AI Email Summaries Change the Inbox Experience
Tools like Gemini in Gmail, Copilot in Outlook, and Apple Intelligence can summarize content, surface key details, and highlight next steps. As these features expand across email, messaging, and notifications, AI is increasingly shaping how people experience communications before they read them in full.
For users, this can be helpful. Nobody wants to dig through a messy thread just to find the one sentence that matters. For marketers, it creates a new challenge. Your email may be judged by a machine-generated summary before your actual copy gets a chance to do the work.
That puts more pressure on clarity. If the main point of your email is buried under a fluffy opener, a large hero image, or three paragraphs of setup, the summary may miss what you actually wanted people to know.
What This Means for Email Performance
AI summaries could make email reporting harder to read. Open rates have already become less reliable thanks to privacy changes, bot activity, and platform-level filtering. AI summary features add another wrinkle because people may understand the message without engaging with the email the way your dashboard expects.
A recipient might see the offer in the summary and never open the message. They might click from a surfaced CTA in a way that does not track cleanly. They might get the answer they needed and move on, which could be a good user experience even if it looks like weak engagement in your reporting.
This is where marketers need to be careful. A drop in clicks may not always mean the message failed. A steady open rate may not mean people actually read the email. The gap between what users do and what platforms report is getting wider.
One practical way to combat messy reporting is to focus on a broader set of performance indicators instead of relying on a single metric. Tracking things like assisted conversions, reply rates, website behavior, and overall campaign outcomes alongside opens and clicks can provide a clearer picture of how people are actually engaging with your marketing.
How to Write Emails That Summarize Well
The best defense against a bad AI summary is a clear email. Start with the point. If the email is about a limited-time offer, say that early. If it’s about a service update, put the actual update in the first few lines. If there is one action the reader should take, make it obvious before the email gets too far into background or supporting details.
This is also a good reason to avoid overly clever openings. A warm, human tone is still important, but vague intros do not give AI tools much to work with. “We’ve got some exciting news to share” is less useful than “Registration for our September webinar closes this Friday.”
Structure matters too. Clear headings, simple formatting, descriptive links, and plain-English copy all make it easier for summary tools to understand the message. Over-designed emails with image-heavy hero sections or vague button copy like “Click Here” may still look polished, but they can be harder for AI tools to interpret.
A good rule of thumb is to write the email so a busy person could skim the first few lines and understand the point. Conveniently, that also helps the AI summary get it right.
SMS and Message Threads Are Part of This Shift Too
This change is not limited to email. SMS, RCS, app notifications, and customer service threads are also being condensed by AI tools. A carefully timed three-message SMS flow may appear to a user as one short recap. A long support thread may be reduced to a single suggested action.
That means the first message in a sequence carries more weight. Marketers should avoid saving the main value for message two or three. If the key point is a discount, deadline, appointment reminder, or next step, it should show up right away.
This also applies to links. Long, messy URLs with heavy tracking parameters can get cut off or hidden in some condensed experiences. Tracking matters, but the user-facing message needs to stay clean enough to survive compression.
Do Not Let AI Summaries Flatten the Important Stuff
There are a few areas where marketers need to be especially careful. Legal language, required disclosures, unsubscribe information, and sensitive details often live near the bottom of an email. AI summaries may not surface that information unless the message is structured clearly.
That can become a bigger issue for regulated industries like healthcare, finance, insurance, and legal services. If the summary pulls out the promotional part of a message but misses the necessary context, the email may create confusion. It may also create compliance questions that the original email technically handled, but the summary did not.
Brand voice can take a hit too. AI summaries tend to flatten personality. A clever line may get turned into something generic. A thoughtful explanation may become a dry recap. You cannot fully control how every platform summarizes your message, but you can give it better material to work with by making the top of the email clear, useful, and still recognizably yours.
What Marketers Should Test Next
Create seed accounts in Gmail, Outlook, and Apple Mail. Send your regular campaigns to those accounts and review what the summaries say. Look at whether the main point is accurate, whether the CTA appears clearly, and whether anything important gets lost.
From there, test your lead sentence the same way you would test a subject line. Try one version that starts with a clear benefit and another that uses a softer intro. See which one produces the better summary and the better downstream engagement.
Marketers should also pay closer attention to assisted conversions, reply quality, and traffic patterns that may not line up neatly with clicks. AI summaries may change how people engage, so the measurement needs to get a little more flexible too.
The Inbox Is Still Human, Even When AI Gets There First
AI summaries are not replacing email strategy. They are raising the bar for clarity. The emails that hold up best will be the ones that get to the point quickly, use simple structure, and make the next step easy to understand.
TL;DR: Marketers do not need to write for machines at the expense of people. They need to write emails that are clear enough for the machine to summarize and useful enough for the person to care.
06/02: AI Mode Ads Are Changing Google Search
Google is bringing ads deeper into AI-powered search experiences, including AI Mode. That means paid search is starting to look less like a list of keyword-triggered ads and more like part of a longer, more conversational research process.
As Google rolls out these changes, advertisers need to recognize that weak campaign inputs are becoming harder to hide. If your campaigns and brand messaging don’t clearly explain who you serve and why someone should choose you, Google’s automation has to infer more about your business, audience, and value proposition. The result probably won’t be one dramatic failure. It’s more likely to show up as vague ad copy, odd matches, or leads that look fine in Google Ads but don’t turn into real opportunities.
What Changed With Ads In AI Mode
AI Mode is Google’s AI-powered search experience that lets people search in a more natural, conversational way. Instead of typing a short keyword and scrolling through a list of links, users can ask detailed questions and receive AI-generated responses that help them research a topic step by step. Ads can now appear within those responses and are labeled as “Sponsored.”
Because of that, ads are no longer limited to competing for attention on a traditional search results page. They may appear while someone is actively researching a problem, comparing solutions, or asking follow-up questions. In other words, advertisers are becoming part of a longer decision-making process rather than simply showing up for a single keyword search.
At the same time, Google is encouraging advertisers to use more AI-driven campaign types, including AI Max and Performance Max. Dynamic Search Ads will transition to AI Max beginning in September 2026, signaling Google's continued move toward automation and machine learning.
What does that mean for businesses? Google is taking on a bigger role in deciding when your ads appear, what messaging is shown, and which users are most likely to see them. That can be a good thing when your campaigns provide clear signals about your business, audience, and goals. But when the system is working from generic messaging, unclear objectives, or weak landing pages, it has to make more assumptions, and those assumptions don't always lead to the right results.
Why AI Mode Ads Hit B2B Advertisers Differently
B2B advertisers have less room for generic messaging. A consumer brand selling a straightforward product may be able to get by with broad language for a while. A company selling industrial equipment or specialized software cannot rely on phrases like “custom solutions” and “trusted partner” and expect Google’s AI to magically understand the nuance.
This is where AI Mode raises the stakes. In traditional paid search, teams had more direct control over the exact copy a buyer saw. With AI-driven formats, more of that control moves upstream. The campaign structure, landing pages, creative assets, audience signals, and conversion goals all help shape what Google understands about the business.
That doesn’t mean humans are out of the loop, but it does mean the human work has to happen earlier and more intentionally. Your campaign inputs need to clearly explain what the business does, who it serves, what makes a lead valuable, and which claims the brand should avoid. Weak inputs create more room for weak outputs.
For B2B companies, this can become a real performance problem. A campaign might drive form fills that technically count as conversions, but sales may quickly realize those leads are the wrong fit. Or the ads may sound polished enough on the surface while still missing the specifics that make the company worth choosing. In an AI-shaped search experience, clarity becomes part of performance.
What Businesses Should Review Now
Before AI Mode ads become another confusing performance variable, businesses should take a closer look at the pieces feeding their paid search campaigns. The goal is to make sure Google has enough useful information to represent the business accurately.
- Start with the brand brief. Can your team clearly explain what you do, who you help, what makes a good lead, and what your brand should never say? If the answer takes four meetings and a whiteboard, your campaigns may not have enough clarity.
- Look at your creative assets. Headlines, descriptions, images, and landing page copy should sound specific to your business. If a competitor could copy the same language and use it without changing much, the raw material probably is not strong enough for AI-assisted ad formats.
- Review your conversion signals. If campaigns are optimizing toward clicks, basic form fills, or low-quality leads, Google may learn how to find more of the wrong people. For B2B companies, performance should be tied as closely as possible to qualified leads, pipeline, or another meaningful business outcome.
- Check the landing page experience. AI Mode searches are often more specific than traditional keyword searches, so the destination page has to do more than repeat a broad service pitch. If someone asks a detailed question, the page they land on should help answer it.
The common thread is clarity. Google’s automation can do a lot, but it still needs good direction. The more specific your campaign inputs are, the less room there is for the system to guess.
Better Inputs Make AI-Powered Ads Easier To Trust
AI Mode ads are another reminder that automation is only as good as the strategy behind it. Google can assemble, match, and test more than ever, but it still needs clear direction from the business.
For B2B teams, now is a good time to review the setup before performance gets harder to diagnose. If your current paid strategy was built around short keywords, generic copy, and loose conversion goals, AI Mode is likely to expose those gaps.
