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AI Overviews have shifted how audiences discover brands. Gone are the days when users would click through multiple search results until they found what they’re looking for. Now, AI Overviews answers questions directly on the results page, meaning brands are either cited or ignored without users ever visiting a website.

If you’ve opened Claude’s Customize settings and weren’t sure whether a task called for a Skill, a connector, or a Plugin, you’re not alone.

Digital PR has always been about earning coverage that influences the audience you can’t reach through paid channels. While the value proposition of digital PR hasn’t changed, the definition of “showing up” has.

Clients are asking about AEO. Some have seen competitors show up in AI results and want to know what it means. Others have read that AI is changing how buyers find vendors and want to know what their agency is doing about it.

Enterprise email marketing software is built for high-volume programs that span teams, brands, and regions. With so much software available, the hard part comes before and after the send — whether governance keeps every team within the rules, CRM-native data surfaces the right consented audience, and attribution connects email engagement to pipeline and revenue.

Today, when a buyer asks ChatGPT, Perplexity, or Google’s AI Mode a question, they rarely see a list of suggested links. They see one synthesized answer that cites a handful of sources. If your brand is one of those citations, you win attention, traffic, and trust. If it isn’t, you’re invisible, even when you rank on page one.

Digital marketing is one of the most process-intensive functions in marketing, and AI agents for digital marketing are changing how teams handle that load. Every campaign involves the same chain of tasks. Building audiences, setting up nurture sequences, writing follow-ups, and monitoring performance all have to happen every time, across every channel.

Link-building and content outreach were built for search engines. Domain authority, anchor text, and referring domains were the signals that moved search rankings, and they translated directly into an SEO playbook you could run at scale. Answer engines don’t work the same way.

A GTM tech stack is the set of tools a company uses to run go-to-market activities across the customer lifecycle. These platforms can make it easier to connect marketing, sales, and customer teams. But, if the pieces aren’t compatible, a business’ GTM tech stack is just another layer of disconnected tools. The difference comes down to how the stack is built.

If you’ve been asked to diagnose and fix AEO gaps, the first step is to conduct an audit. For most brands, an AEO gap is any reason an AI answer engine can’t (or won’t) use its page as a source.