10 takeaways from EMARKETER’s 2026 Future of Digital Summit

Thank you to the EMARKETER team for inviting me to cover the Future of Digital Summit with a media pass. I couldn’t be in the room at City Winery on September 15, but I followed the sessions closely and dug into the data and ideas shared throughout the day.

My biggest takeaway? The next phase of digital visibility isn’t about chasing every new AI tool. It’s about becoming easier to understand, easier to verify, and more valuable to recommend, both by people and by AI-powered discovery systems.

The conversation has moved well beyond whether AI will affect marketing. It already has. The more useful question is: What should leaders, brands, and marketing teams do now?

Across sessions on AI visibility, search, commerce, measurement, marketing operations, and paid media, one message kept surfacing. AI is changing how people research, compare, and choose. It isn’t replacing the foundations of trust. If anything, it’s making them more important.

For founders, executives, professional-services firms, consultants, speakers, and subject-matter experts, that’s good news. You don’t need to flood the internet with generic AI content. You need a clear, connected body of work that shows what you know, who you work with, why your perspective matters, and where others have validated your expertise.

Here are 10 takeaways marketers can put to work.

1. Discovery is becoming conversational

The classic marketing funnel has never been as tidy as the diagram. People search, compare, ask colleagues, watch videos, read reviews, visit websites, and circle back more than once.

AI speeds up that process. Someone can now ask a tool to compare options, explain tradeoffs, suggest questions, and produce a shortlist in a few prompts.

For a simple, low-risk purchase, that may be enough. For a higher-stakes decision, such as choosing an advisor, consultant, professional-services firm, or keynote speaker, people still verify what they’ve been told. They look for a credible website, relevant case studies, media coverage, testimonials, podcast appearances, videos, recommendations, and a point of view that demonstrates judgment.

AI may shorten the route to a recommendation, but it doesn’t eliminate the need to earn trust.

EMARKETER framed the new environment around three priorities:

• Optimize site content and data for LLM discovery.
• Maximize paid efficiency inside walled gardens.
• Reinvent the owned digital experience.

That’s a useful checklist because it balances discoverability, distribution, and what happens when someone finally lands on a channel you control.

2. AI visibility is bigger than ChatGPT

One summit slide reported worldwide monthly audiences of 2.5 billion for Google AI Overviews, 1.3 billion for ChatGPT, and 1 billion each for Google AI Mode and Google Gemini.

The exact comparison deserves a little caution because these products and audiences may overlap. Still, the strategic message is clear: Google remains central to AI-powered discovery.

Don’t abandon the fundamentals that make a website useful, findable, and trustworthy. Build on them. Your audience might encounter you through Google, an AI Overview, ChatGPT, LinkedIn, YouTube, a podcast, a trade publication, a trusted peer, or several of those sources at once.

What should marketers do now?

• Keep technical SEO and website fundamentals strong.
• Publish original content that answers real buyer questions.
• Keep names, services, credentials, locations, and contact information consistent.
• Earn credible third-party signals through media, speaking, podcasts, partnerships, and industry profiles.
• Treat AI visibility as part of brand and reputation strategy, not as a standalone software project.

3. Most organizations don’t have a formal AI visibility strategy

One of the day’s most telling charts looked at how U.S. marketers described their companies’ AI-search visibility strategy in June 2026:

• 2% had a formal GEO or AEO strategy with dedicated resources.
• 47% had an informal strategy, often led by the SEO team as an add-on.
• 50% were actively exploring or piloting.
• 1% had no strategy but planned to develop one within 12 months.

In other words, nearly everyone is doing something, but very few organizations have committed dedicated resources. That’s not a cue to panic. It’s an opening to get more deliberate while the field is still developing.

A practical strategy can start with five steps:

1. Decide which expertise, problems, outcomes, and audiences you want to be known for.
2. Audit what search engines, AI tools, social profiles, and third-party sources currently say about you.
3. Find missing proof, outdated information, inconsistent descriptions, and content gaps.
4. Create a publishing and visibility plan that builds useful evidence over time.
5. Monitor whether your desired narrative is becoming more accurate, consistent, and discoverable.

Start with the questions clients, referral partners, event planners, journalists, or job candidates ask before choosing you. Can they find clear, credible, current answers? Could an AI system? If not, there’s your work list.

4. Being mentioned isn’t the same as being recommended

A brand can be cited as a source without being recommended. It can appear in an answer but be described inaccurately. It can make the list but still be framed as a secondary choice.

That’s why a mention count alone won’t tell you whether your AI visibility is working. Ask better questions:

• Which buyer questions bring us into the answer?
• Are we a source, a comparison point, or a recommended choice?
• Are the claims about us accurate and current?
• Is the context positive, neutral, or negative?
• Which publishers, reviews, communities, and social sources are shaping the answer?
• Which competitors appear beside us, and what evidence seems to favor them?

This is as much about reputation as discoverability.

A well-maintained proof library can help. Include approved bios, company descriptions, core messages, client outcomes, case studies, testimonials, media mentions, articles, podcast appearances, keynote clips, research, awards, credentials, and direct answers to frequently asked questions.

If your strongest proof lives only in someone’s head or on slide 47 of an old deck, it’s barely proof at all.

5. PR is becoming discoverability infrastructure

PR has always built awareness and credibility. Now it also contributes to the network of independent evidence that people and machines use to understand whether expertise is real.

A media interview, respected podcast, industry article, keynote, third-party profile, or expert quote can live well beyond its initial audience. It becomes another credible signal connected to your name, organization, ideas, and results.

That doesn’t mean every media mention will appear in an AI answer. It does mean that a consistent third-party presence gives buyers more ways to verify you.

Develop a recognizable point of view, not just a list of services. Offer useful commentary on topics where you have genuine experience. Create quotable ideas and memorable frameworks. Build relationships with journalists, hosts, event organizers, associations, and professional communities.

Then turn each meaningful appearance into an owned asset such as a recap, clip, transcript, article, email, social post, or resource page. One good opportunity should leave more than one footprint.

6. Your website has to earn the next click

As more early research happens inside AI tools, people may arrive at a company’s website later in the decision process. By then, they’re not looking for a vague welcome message. They’re looking for confirmation.

They want to know:

• Is this person or company right for my situation?
• Do they understand the problem?
• What makes their approach different?
• What proof do they have?
• What happens next?

Review your highest-value pages through the eyes of an informed, skeptical visitor. Lead with the problem and outcome. Say clearly who the work is for. Describe services in plain language. Place proof near the decision. Offer a useful next step. Answer the practical questions people ask before they contact you.

You don’t necessarily need a chatbot. You do need a site that behaves like a helpful conversation.

7. AI efficiency isn’t the same as influence

The summit data showed how often marketers use AI across five functions. Daily use ranged from 30% for media buying to 40% for measurement. Another 52% to 60% said they use it some of the time, depending on the function.

The chart labeled these “boring” tasks, but the functions themselves include audience research, strategy and planning, creative, media buying, and measurement. Those aren’t trivial activities. The sharper takeaway is that AI is already woven into routine marketing work, while daily adoption is still far from universal.

AI can summarize, organize, compare, analyze, draft, and speed up repetitive steps. Influence requires something else: context, judgment, originality, relationships, credibility, and the courage to take a position.

Use AI to create more room for those human contributions. Let it help organize interviews, identify themes, draft outlines, repurpose original ideas, prepare briefings, or surface patterns in performance data. Then add lived experience, fact-checking, editorial judgment, and a point of view that sounds like someone, not everyone.

8. A specific use case beats a vague AI ambition

One slide connected concrete AI use cases and metrics with stronger revenue-growth narratives. Broad claims about hiring, investment, adoption, proficiency, impact, or maturity weren’t enough on their own. The presentation reported an 8% lift associated with narrative concreteness.

Without the full methodology, I wouldn’t treat that 8% as proof that specificity causes growth. But the management principle is solid: “We need an AI strategy” isn’t a plan.

A better plan names the workflow, human checkpoint, metric, timeline, and business result. For example:

Specificity turns AI from a talking point into an operating choice.

9. Insight only matters when it changes what you do

The marketing mix modeling data captured a familiar problem:

• 87% of marketers familiar with MMM said it’s important for gaining data-driven insights.
• 68% said adoption is driven by a focus on marketing ROI.
• Only 28% said insights are effectively converted into timely, impactful action.

These percentages describe different statements, so they shouldn’t be combined into one total. Their contrast is the story. Marketers value insight and ROI, but action still lags.

That problem isn’t limited to large marketing departments. Many organizations have dashboards, analytics, platform reports, and AI summaries. What they’re missing is a decision rhythm.

Hold a short monthly visibility review. Ask what attracted qualified attention, which buyer questions are changing, what prospects keep asking, where the positioning is unclear, which proof needs more visibility, and which one or two actions should happen next.

The best report isn’t the prettiest dashboard. It’s the one that changes a decision.

10. Trust gets more valuable when content gets easier to make

AI gives more people access to fast answers and fast content. That raises the value of what volume alone can’t manufacture:

• Demonstrated expertise
• A consistent, recognizable point of view
• Accurate claims and transparent proof
• Independent validation
• Real-world experience
• Human relationships
• Editorial judgment
• A reputation that holds up under scrutiny

Marketers in another study cited creative testing and personalization, audience creation and lookalike modeling, budget recommendations, and automated media optimization as leading areas of measurable AI value. Useful, yes. Magical, no.

The opportunity is to become clearer, more credible, and more useful wherever your audience looks for answers.

A practical 90-day plan

Days 1 to 30: Clarify and audit

• Define the three to five ideas, audience problems, and outcomes you want to own.
• List the 10 questions prospects ask before they hire, refer, invite, or recommend you.
• Review your website, LinkedIn profile, bios, services, speaker page, and recent content for consistency.
• Search your name, company, expertise, and comparison questions in Google and relevant AI tools.
• Gather your strongest outcomes, testimonials, media, credentials, clips, interviews, and case studies.

Days 31 to 60: Build the proof

• Refresh your primary website pages around clear audience needs.
• Publish one original article that answers an important buyer question.
• Create an FAQ or resource hub.
• Turn one keynote, webinar, or podcast into several useful formats.
• Build a focused media and podcast outreach list.

Days 61 to 90: Expand and measure

• Pursue one to three credible third-party visibility opportunities.
• Publish supporting content around your core point of view.
• Add fresh proof to key conversion pages.
• Review inquiry quality, audience questions, content performance, and brand-search signals.
• Decide what to repeat, refine, retire, or scale.

The bottom line

AI is changing how people discover, research, compare, and choose. The winners won’t necessarily be the brands with the most tools, the biggest content machine, or the flashiest experiment.

They’ll be the ones with a clear narrative, credible proof, useful content, strong third-party validation, and a system for turning insight into action.

Your future visibility depends on being trustworthy to people and understandable to machines.

That isn’t just an SEO goal. It’s a brand, reputation, content, media, and leadership strategy.

Start with one question: When the right person looks for the expertise we offer, will they find a clear, credible reason to choose us?

With appreciation

Thank you to the EMARKETER team and the Future of Digital Summit speakers for a thought-provoking look at AI discovery, marketing effectiveness, measurement, media, and trust. While I couldn’t capture every insight shared throughout the day, the ideas in this recap reflect the themes that stayed with me and their implications for leaders and marketers.

About Barbara Rozgonyi

Barbara Rozgonyi is a keynote speaker, marketing futurist, and founder of CoryWest Media and Wired PR Works.She works at the intersection of visibility, influence, leadership, public relations, digital marketing, and emerging technology. Barbara is the creator of Brighter Presence™ and speaks on AI, trust, executive visibility, LinkedIn, influence, and the future of leadership communication.

Learn more at BarbaraRozgonyi.com and WiredPRWorks.com.

AI disclosure: AI tools supported the organization and editing of this article and the creation of its title graphics. I reviewed the source material and take responsibility for the analysis, interpretations, fact-checking, and final editorial decisions.