The New Rules of Search: Key AEO & Content Marketing Trends for 2026 via @sejournal, @hethr_campbell

Are you optimizing and aligning your AEO strategy for your top-performing LLM?

Does your current SEO strategy put your brand at risk for losing visibility?

How do you measure search success when AI answers replace the click?

Which AEO tactics actually drive visibility across answer engines right now?

👆 Get a concrete framework for investing in visibility across AI search. Register above to watch the full session, right now.

The AEO Trends To Help You Gain More AI Citations & Execute A Budget-Smart Strategy

Shannon Vize, Sr. Content Marketing Manager at Conductor, and Pat Reinhart, VP of Services & Thought Leadership at Conductor, shared field-tested strategies to help you operationalize AEO and build brand authority across fragmented AI search experiences.

You’ll Learn:

  • Which AEO Trends & Content Types Generate The Highest Chance Of AI Citations: A prioritized breakdown of the content marketing and AEO trends that will drive search visibility and performance.
  • How to Measure Search Success Across Different AI Channels: Practical ways to reframe your KPIs and content investment for a world where specific AI platforms capture intent before the visit happens.
  • Agentic Workflows That Scale AI Visibility: Specific tactics for using agentic tools to produce authority-building content formats at scale.

Walk away with a prioritized framework for shifting your content investment toward visibility-first tactics, covering agentic workflows, authority-building formats, and the metrics that actually reflect performance in AI search.

Whether you’re leading digital strategy or driving day-to-day execution, this on-demand session will give you the clarity and direction needed to evolve your approach for an AI-first search landscape.

Register above to watch the full recording and get the actionable AEO framework and trend analysis your team needs to drive visibility and performance in AI-first search.

How To Measure SERP Visibility When Rankings Aren’t Enough [Webinar] via @sejournal, @lorenbaker

Rank #1 and still invisible?

It happens more than you’d think.

That’s why this SEO webinar is key.

Organic Visibility Isn’t What It Used to Be

SERP features, local packs, knowledge panels, featured snippets, shopping ads, now dominate significant portions of the page.

For certain intents and verticals, even the top organic result sits below the fold for most users. That means your rank doesn’t tell you whether searchers are actually seeing your brand.

STAT’s Sr. Search Scientist Tom Capper has been working through something genuinely different: pixel height data from a large-scale analysis of search results. Instead of asking “where do you rank,” he’s asking “how many pixels from the top of the SERP does your result appear — and what’s already taken up all the space above it?”

Join This SEO Webinar & Learn

About the Speaker

Tom Capper is Sr. Search Scientist at STAT, where he leads large-scale research into search result behavior and organic performance. His work is grounded in data analysis at a scale most SEO teams don’t have access to, and this session is a direct look at his findings.

How To Build Local Pages That Win In AI-Powered Search via @sejournal, @lorenbaker

Local AI search rewards better pages. Learn exactly how to build them.

Are your location-based pages showing up when AI-powered search answers local queries?

Is structured data, listings, reviews driving (or undermining) your brand’s visibility across locations?

👆 Register above to learn the right way to build local intent pages that get cited in AI answers.

How Local AI Visibility Works: Search Results, Listings & AI-generated Answers

This on-demand session delivers a practical framework for strengthening your local SEO foundation so your brand surfaces consistently across traditional search results, listings, and AI-generated answers.

You’ll Learn:

  • How AI Search Discovers Individual Locations: Understand exactly how AI-powered search pulls from your site, listings, schema, and reviews
  • Ways To Strengthen Local SEO Foundations: Learn how to build location pages that are authoritative, genuinely localized, and aligned with your broader SEO strategy across all your markets.
  • The Content & Technical Signals That Affect AI: Identify which technical and content factors matter most right now and how to prioritize them.

Nick Larson, Product Manager and Local Pages Expert at Alchemer, shared proven strategies to help you build a local presence that holds up in the AI search era.

Register above to watch the full session and get actionable, practitioner-level guidance on winning local visibility for multi-location brands.

From Reddit to Revenue: Building Real Community That Drives Sales and AI Visibility via @sejournal, @hethr_campbell

AI search doesn’t pick brands at random. They cite brands with trust signals across multiple channels.

Are you building brand proof in the places AI actually looks to validate mentions?

Do you know which community conversations are shaping what AI says about your category?

Reddit is one of the most powerful and least utilized of those channels.

👆 Register above to watch the exact framework that generated a 2,000% AI visibility boost in just 90 days.

Add 1 Marketing Channel. Earn 2,000% More AI Visibility & Real Revenue.

In this on-demand SEO webinar, Bartosz Goralewicz, CEO of OGS Media, and Brent Csutoras, Reddit Official Advisor and Owner of Search Engine Journal, shared proven strategies for building Reddit community that earns buyer trust, drives revenue, and strengthens your brand’s multi-channel AI visibility.

You’ll Learn:

  • Data on how Reddit fits the AI visibility picture — Why community-driven trust signals are part of how AI tools evaluate brands, and how Reddit presence impacts AI’s required proof-of-trust.
  • How to avoid 7 trust-breaking mistakes — Identify the specific behaviors that destroy Reddit credibility, and what authentic community engagement looks like when it’s working across both sales and AI visibility.
  • The 5-stage Reddit & AI Search framework — Gain access to the exact strategy that drove 2,000% AI visibility growth and six-figure enterprise deals in 90 days.

Register above to watch the 5-stage Reddit & AI search playbook that builds the kind of authentic brand proof AI uses to decide which brands to mention, cite, and recommend.

Keyword Research Has A New Strategy & It’s Getting Local Businesses Into AI Results [Webinar] via @sejournal, @hethr_campbell

Keyword research has an expanded purpose in the world of local SEO. The keyword intent you’re already building for clients can now feed the trust signal layer that drives local AI recommendations, but only if it’s deployed in the right places.

When AI tools recommend a local business, they’re not just reading the website. They’re weighing a layer of activity around the business: how often it’s reviewed, how those reviews are responded to, how its Google Business Profile is updated, and what language is showing up across all of it. That activity is the trust signal layer, and on-page SEO alone doesn’t generate it.

Local AI recommendations pull from that activity: keyword-rich, consistent engagement tied to a business’s local presence. Reviews, review responses, and GBP posts are where the keyword intent you’ve already built needs to land. The terms your clients want to be known for have to show up on the surfaces AI is actively reading, at a cadence that signals the business is current. Most agencies finish the keyword research and stop at the website. The intent is sitting in a doc instead of working across the places AI is actually pulling from.

The research is already done. What’s missing is the deployment plan for keyword-driven trust signals: where to place each term by signal type, how to format it so it reads as natural engagement, and how to keep that activity running across every client account without burning hours on manual work.

What You’ll Learn in This Local SEO & AI Search Webinar

  • Where AI is pulling keyword-rich signals from: The specific sources keyword research needs to feed: reviews, responses, and GBP activity. Plus how placement inside each one influences local AI recommendations.
  • How to build keyword-driven trust signals from scratch: Keyword selection, placement by signal type, and the response cadence that tells AI a business is active and relevant.
  • How to automate that activity across your full client roster: Review response automation, keyword refresh intervals, and GBP activity scheduling on a consistent weekly cadence so every account runs the same play.

What Reviewly.ai Has Learned Running This Across Local Client Rosters

The session is led by Jeff “Herschy” Schwerdt, founder and CEO of Reviewly.ai, the platform built to deploy and automate keyword-driven trust signals across local SEO accounts.

He’s not teaching this from a research lens; he’s teaching the workflow Reviewly.ai actually runs to keep review responses, GBP activity, and keyword placement on a consistent weekly cadence for every client. Expect specific signal placements, the automation cadences that are working, and the patterns showing up in local AI recommendations right now.

“SEO Expert” Became “AI Search Expert” (Gulp.): How To Control AI Answer Accuracy via @sejournal, @lorenbaker

About a year ago, your job description changed without your permission. This on-demand session helps you catch up and take the lead.

Suddenly need to track both SERP rankings and AI accuracy? How do you make sure AI is saying the right things about your brand? What’s the best way to transition from SEO to AI Search Expert?

👆 Follow our lead. Register above, get 3 strategies & become the AI search expert your org needs.

You aren’t just fighting for clicks anymore; you’re fighting to ensure that when an AI model speaks for your brand, it actually mentions you, and gets the information right.

Accurate AI Answers = Your SEO Expertise + 3 Strategies

Good news: your SEO expertise isn’t a relic, it’s the exact foundation that works in AI search. In this session, seoClarity’s Chris Sachs, VP of Client Success, and Tania German, VP of Marketing, shared a roadmap that positions your brand as the definitive answer in AI search results.

You’ll Walk Away With:

  • The Orchestrator’s Playbook — How to lead the cross-functional teams (PR, product, content) that determine what AI models learn to trust about your brand.
  • Answer Certainty Metrics — How to move beyond “visibility” reporting and prove your brand is the definitive solution AI delivers to users.
  • Narrative Reclamation — How to stop third parties from defining your brand in AI outputs and position your organization as the primary Source of Truth.

Register above to watch the full session and get proven strategies to help you control AI outputs, lead the teams that make it happen, and prove it’s working to leadership and beyond.

500M AI Searches Later: How To Actually Improve AI Search Visibility & Citations via @sejournal, @hethr_campbell

What signals actually drive AI search visibility?

Are competitors getting cited in AI Overviews while you’re watching from the sidelines?

How do you go from AI visibility gap alerts to a system that closes them?

Most SEO teams already have dashboards showing where they’re invisible in AI search. Few have a process to fix it.

Learn To Turn AI Search Visibility Data Into A High-Visibility System

Reconnect with Sam Garg, Founder and CEO of Writesonic, as he shares his practical framework for diagnosing citation gaps, prioritizing the right actions, and automating execution with AI agents and free open-source SEO & GEO tools.

You’ll Learn:

  • What drives AI citations: Visibility signal analysis from 500M+ AI conversations. You’ll learn which content types, sources, and placements actually get cited in ChatGPT, Perplexity, and Gemini.
  • GEO tasks that move the needle: Citation outreach, content refresh, and third-party placements, plus how to use AI agents and open-source tools to automate them.
  • Where AI search is headed next: Early signals on AI ecommerce and the shift from recommendations to transactions for your channel strategy.

This SEO webinar session covers what 500M+ AI conversations reveal about how citations are earned, which actions actually move the needle (citation outreach, content refresh, third-party placements), and how to use autonomous AI agents to execute at scale.

Watch on-demand now to get the most data-backed, actionable guidance available on improving your brand’s AI search visibility.

AEO In 2026: Which Content Formats Earn AI Citations & How to Produce More [Webinar] via @sejournal, @hethr_campbell

AI-generated answers are capturing intent before the click, and that changes where to invest, what to measure, and which formats to prioritize. The question isn’t whether to adapt, it’s knowing exactly what to do first.

Answer Engine Optimization (AEO) Is A Core Discipline

AEO sits alongside SEO as a primary driver of how brands get discovered in 2026. The content formats, authority signals, and workflows that earn citations in ChatGPT, Claude, and Gemini are distinct from what drives traditional rankings.

What You’ll Learn

  • Which AEO and content marketing trends will have the most impact on AI citation rate and organic visibility in 2026.
  • How to reframe your success metrics when AI answers replace the click, and what to optimize for instead.
  • Which content formats generate the highest likelihood of AI citation, and how to build more of them into your editorial workflow.
  • How to integrate agentic workflows into your content operation to scale authority-building without losing quality.

About the Speakers

Shannon Vize is Sr. Content Marketing Manager at Conductor, focused on the intersection of AI and content strategy. Pat Reinhart is VP of Services & Thought Leadership at Conductor, with deep experience helping digital teams adapt their search strategies to emerging discovery behaviors.

This session delivers a practical, prioritized framework for operationalizing AEO and building AI search visibility in 2026.

AI Overviews & Local SEO: What Multi-Location Brands Must Do [Webinar] via @sejournal, @lorenbaker

Thanks to AI, local SEO has a new standard.

AI-powered search doesn’t just rank pages. It synthesizes answers from your site content, schema markup, listings data, and reviews, and then it decides whether your locations are worth citing. For brands managing 10, 50, or 100+ locations, that’s a significant exposure point.

What’s Actually Changing in Local Search

AI search experiences, from Google’s AI Overviews to other generative answer engines, are now drawing on a broader set of signals to determine which local businesses to surface.

Listing accuracy, structured data, review signals, and the quality of your actual location pages all factor in. If any of those are inconsistent or thin, your visibility takes a hit before a customer ever clicks.

What You’ll Learn in This Session

  • How AI-powered search engines pull local business data, and where your current setup may have gaps
  • What separates a high-performing location page from one that gets ignored by AI search
  • Which technical signals carry the most weight for local AI search
  • How to prioritize improvements across a large portfolio of locations without starting from scratch

Nick Larson, Product Manager and Local Pages Expert at Alchemer brings hands-on experience helping multi-location brands build local search visibility at scale.

This is a practical, framework-first session built for marketers and operators managing location-based brands.

How To Become The AI Search Authority In Your Company [Webinar] via @sejournal, @lorenbaker

If you’re in an SEO role, there’s a good chance your job description quietly expanded over the last year. You’re now the de facto expert on how your company shows up in ChatGPT, Gemini, and Perplexity.

Your SEO Expertise Is Already the Foundation for AI Search Authority

Getting cited in AI outputs is table stakes. 

The harder question is: when an AI model speaks about your brand, is it using your content as the source? Or is it synthesizing what third parties have written about you?

For most brands right now, it’s the latter. And that’s a fundamentally different problem than SEO has dealt with before, one that requires coordination well beyond the SEO team.

What You’ll Learn in This Session

  • How to lead the cross-functional effort (PR, product, content) that shapes what AI models are trained to trust
  • How to measure “Answer Certainty” instead of just visibility, so you can report on outcomes that leadership actually understands
  • How to identify where third-party narratives are overriding your brand’s own content in AI outputs
  • Why your existing SEO expertise is the foundation for all of this, and how to position it that way internally

About the Speakers

Chris Sachs is VP of Client Success at seoClarity, where he works directly with enterprise SEO teams navigating the shift from traditional search to AI-driven discovery. Tania German is VP of Marketing at seoClarity, with expertise in building brand authority frameworks that translate across organic and AI search channels.

This is a tactical session for SEO managers, growth directors, and CMOs who are already in the thick of AI search and need a system, not just a framework.