How One Team Earned 1,000+ AI Citations With Unique Research Data via @sejournal, @lorenbaker

Most digital PR campaigns earn zero citations. The problem usually isn’t the outreach, it’s the story.

Journalists are buried in pitches. The ones that earn coverage lead with data the journalist actually wants to write about, sent to the right person at the right outlet. Everything else gets ignored.

Why Digital PR Keeps Underperforming

Digital PR is one of the most reliable ways to earn high-authority links and brand mentions, the kind that lift both organic rankings and visibility in AI Overviews. But most campaigns underperform because the pitch doesn’t give journalists a reason to respond. Teams burn weeks on outreach that never lands a single placement.

What You’ll Learn

PureLinq’s team has earned 1,000+ citations, links and brand mentions, using unique research to pitch both established relationships and journalists they’ve never met.

In this session, they’ll break down:

About The Speaker

Kevin Rowe, CEO at PureLinq, leads an enterprise digital PR practice that turns original research into media coverage at scale. His team’s campaigns have earned 1,000+ citations while many sites are losing organic traffic.

Learn the system behind the case studies, including the formats, targeting, and relationship tactics you can apply yourself.

5 AI Search Shifts Marketers Can’t Afford to Miss Before Q3 via @sejournal, @hethr_campbell

Impressions are up. Clicks are down.

Rankings haven’t moved.

If that describes your last Search Console export, you don’t have a content problem or a technical problem. You have a SERP that no longer sends you the clicks your positions used to earn, and the playbook you’re running was built for one that did.

Five shifts are restructuring how search visibility works right now. Each one builds on the one before it, and each one comes with work you can start before Q3 planning is finalized.

1. Don’t Treat Organic CTR Decline as a Seasonal Dip

AI Overviews and zero-click results are absorbing clicks on queries where your positions are stable. If you’re reporting blended CTR, one metric is combining two different losses: clicks lost to AI Overviews on queries you still rank for, and clicks lost to competitors who now outrank you. Each requires a different fix.

How to Find Out If AI Overviews or Competitors Are Taking Your Clicks

The diagnosis starts in data you already have. Segmented correctly, your query data splits into two groups with very different jobs: one shows you where competitors are winning clicks you can fight to take back, and the other shows you where the SERP itself changed and your effort belongs somewhere new. Knowing which group is driving your decline determines what your team spends Q3 fixing.

In our upcoming SEJ Live, 6 experts will spend 3 hours helping you identify, repair, and expand your AI Search strategy for Q3.

2. Optimize for Being Surfaced, Not Just Ranked

Position one on SERPs no longer guarantees visibility.

LLMs and AI Overviews extract passages, synthesize across sources, and cite, which means your pages need to be extraction-ready, not just rank-ready.

A page AI systems can lift a clear answer from becomes a citation asset, and a page that ranks well but can’t be extracted stays invisible at the answer layer no matter its position.

Knowing which group your best pages fall into is the first thing to settle before rewriting anything, and it starts with understanding what “discoverable content” actually means when AI is doing the surfacing.

3. Build Presence on the Platforms Feeding AI Models

Reddit and LinkedIn have become citation sources, not just social channels.

In studies of AI outputs, Reddit threads keep showing up. So do LinkedIn posts from practitioners whose job titles, posting history, and engagement signal verifiable expertise.

Both now influence which brands get cited, and you don’t control either property.

Start by finding out whether the sources AI answers trust in your category mention your brand, your competitors, or neither.

4. Plan Paid & Organic in the Same Room

AI Mode ads are rolling out. ChatGPT ad testing is in flux. The same AI surfaces now blend organic citations and paid placements, and if you’re only watching the organic half, you’re missing where paid placements are taking visibility you thought your rankings secured.

5. Report Citations Alongside Clicks

Search Console clicks no longer measure your full search visibility. Being cited in AI answers is a second visibility metric that captures brand exposure clicks never record, and your leadership report almost certainly doesn’t include it yet.

Where to Take This Work Next

Shifts 3, 4, and 5 are exactly what SEJ Live covers on June 17: a free, virtual event with three sessions built to connect AI search, social, paid, and attribution into one strategy.

  • A fireside chat answering the AI visibility and traffic questions you submit
  • Reddit and LinkedIn experts on earning the citation signals AI models trust
  • A multi-channel session on building attribution you can actually act on

You shape these sessions: when you register, you can submit the question you most need answered, whether that’s AI citation tracking, AI Overview displacement, PPC overlap, or content extractability. The sharpest questions shape the conversation on stage, and yours could be one of them.

Register free for SEJ Live, June 17, 12–3 PM ET. Recordings included, so you can share every session with your team after the event.

Fix Your KPI Blind Spots: How To Finally Tie AI Search To Performance via @sejournal, @hethr_campbell

How do you prove AI search is driving revenue when your current measurement stack wasn’t built to track it?

Which metrics prove AI search value without click data?

What KPIs should you track to actually see SEO impact?

As zero-click journeys grow and AI influence moves off-site, traditional channel-level reporting leaves senior marketers without visibility into what’s actually driving performance.

👆 Your boss wants SEO revenue impact. Your dashboard shows clicks. Watch the full session right now.

Finally, The KPIs That Tie AI Citations Directly To Performance

In this on-demand session, DAC’s Felicia Delvecchio, VP of Media, Vincent DeLuca, Director of SEO, and Gavin Bowick, Lead Web Analytics, introduce a modern, launch-ready measurement approach that connects AI signals: citations, brand mentions, and recommendations, directly to media performance and revenue outcomes.

You’ll Learn:

  • A New AI Search Measurement Framework: Ways to track AI visibility, influence, and impact across the full funnel.
  • Connecting AI Visibility to Business Outcomes: How to tie AI signals to conversions using incrementality, MMM, and cross-channel insights.
  • The KPI Swap: Which metrics to replace click-based reporting with, and how to build enterprise-level reporting that reflects real performance.

Walk away with a full-funnel measurement framework that aligns SEO, paid media, and AI visibility signals with revenue, built for enterprise teams that need to report up with confidence.

Unlock above to watch a data-backed, enterprise-tested measurement framework you can apply immediately to your AI search reporting.

AI Content Alone Won’t Fix Your SEO Rankings (Here’s What Will) via @sejournal, @hethr_campbell

Most in-house SEO teams and agencies have adopted AI for content briefs, drafts, on-page recommendations, and technical audits.

The output is up, but two things are happening at once, and SEO teams have to solve both:

Why More AI-Assisted Content Isn’t Moving Rankings

Search behavior has shifted. Long-tail queries (10+ words) have grown sharply, query complexity is up, and the queries that drive real intent now look more like natural speech than the keyword-stuffed phrases SEO was optimized for three years ago. AI trained on the open web is still writing for the older patterns. The result: a content library that goes to market faster than ever but matches fewer of the queries that actually convert.

The fix is in the training information. AI needs training material that already speaks in natural language, and the inputs SEO teams need are sitting in their own first-party data sources, organized into something the whole department can run.

What You Need For Better AI Outputs

Even when teams figure out the input problem, many times, the productivity gain doesn’t pass on to the rest of the department. AI lives inside one person’s saved prompts or one writer’s personal workflow. When that person is out for the week or moves teams, the output and workflow disappears with them.

In The 4-Layer AI Ops Playbook: From Better AI Output To Strong SEO Results, CallRail’s Darrell Tyler walks through the documented system his team uses across SMB and agency-side SEO to solve both halves. Four layers: Knowledge, Workflow, Governance, Application.

When the four layers are documented and shared, AI gets fed the natural-language inputs that match how people actually search now, and the team gets its hours back from the repetitive lifts (content optimization passes, rank reporting, technical audits at scale) for keyword strategy, content planning, and on-page and technical QA across products.

3 things SEO & content folks walk away with:

  1. A diagnostic for why faster AI output isn’t matching how people search today, and where the process gaps live in most teams’ workflows
  2. The full 4-layer AI Ops foundation, fueled by the natural-language data sources your team already owns
  3. A 90-day validation plan: which workflow to prove the method on first (briefs, audits, or rank reporting), what to put in place before expanding it across the team, and how to show rankings impact in the next two quarterly reviews

Who It’s Built For

In-house SEO leads, content marketing managers, and the agencies serving SMB clients. Anyone who has invested in AI tooling and is still trying to justify the spend to leadership. Anyone scaling content output without scaling the headcount that produces it.

Google SERP Layout Shift: Position 1 Now Appears Halfway Down The Page via @sejournal, @lorenbaker

Ranking #1 doesn’t mean what it used to.

In fact, 57% of organic position-one results sit above the fold on desktop, and only about 40% do on smartphone.

The takeaway from a guy who works at a rank-tracking company: rank alone is no longer enough.

Capper walked through your brand’s position from a pixel height lens, SERP result size, and SERP share of voice, and made the case that SEOs need to reframe their channel as brand impressions, not just clicks.

Watch the on-demand webinar right now & learn what mattered.

Position 1 Is Often Invisible. The Median Result Sits 635 Pixels Down.

Reaching position 10 takes about five full screens of scrolling.

On desktop, the median organic #1 result sits roughly 635 pixels from the top of the page, against a typical laptop viewport of about 800 pixels.

Position two is already, more often than not, below the fold.

The mobile picture is worse. “Nearly two thirds of the time or three fifths of the time, the number one organic result is not visible at all, not even the first row of text on a typical smartphone,” Capper said. “It’s pretty horrendous, right?”

Where Position 1 Went: AI Overviews & Paid Are Above the Fold

Once organic gets pushed down, what replaces it depends entirely on intent.

On informational SERPs, AI Overviews consume nearly a third of above-the-fold visual space on their own. Add Knowledge Graph and the figure climbs to roughly 41%, two fifths of what users see before scrolling.

Commercial SERPs are even more lopsided. Paid plus shopping units occupy more than 60% of above-the-fold space, with Popular Products pushing past two-thirds in some categories. Organic gets about 16%.

Vertical matters enormously. Watch on-demand to learn what to focus on, by vertical.

Optimize for Result Screen Size, Not Just Rank

Capper’s sharpest tactical reframe: stop prioritizing keywords by rank or volume alone, and start prioritizing by size.

A plain organic result is about 120 pixels tall. An organic listing with images, prices, and ratings (IPR) runs roughly 240 pixels, which is twice the visual footprint.

His Lord of the Rings analogy made it stick. When Gimli tells Legolas that taking down a tower-sized elephant “still only counts as one,” he’s obviously wrong.

Same in organic: a Brex Flowers listing with full rich results dwarfs a plain Trustpilot link beneath it. “Are you really going to say that this counts just as the same as the Trustpilot result? No, this is huge.”

Action item: Audit your top commercial keywords for IPR eligibility and prioritize schema work by pixel gain, not search volume.

Watch the on-demand webinar right now for access to the audit.

Brand Search Now Outranks Domain Authority as a Ranking Signal

Capper revived data from a presentation he gave nine years ago showing that branded search volume was a stronger predictor of organic rankings than Domain Authority. Run the same analysis today and the brand signal has only strengthened.

“Brand is getting stronger and stronger and stronger as a predictor of how you rank,” Capper said. “And again, how do you build your brand through SEO? You are visible.”

That creates a flywheel SEOs have under-pitched for years: visibility builds brand recognition, branded searches climb, rankings improve, visibility compounds. The point isn’t to abandon authority metrics, but to stop treating brand as a vague “awareness” outcome and start treating it as a measurable input to organic performance.

Learn what you should track right now, in the on-demand webinar.

Q&A: Most Helpful Questions from the Webinar

Q: Any suggestions on how to sell visibility and pixels to senior leadership who are entrenched in share of voice and ranking?

Tom answered: Pixels are the easier sell because you can show side-by-side SERPs where the traditional metric says you win but the visual reality says you don’t. He recommends blending pixels into how share of voice is calculated, since share of voice was always supposed to be a visibility analog, and pixels measure that more honestly than rank does. The harder pitch is repositioning SEO as a brand channel, but Tom’s shortcut works: “If you have other channels that drive impressions, bring up those impressions data, put them next to the impressions that you’re generating… SEO is an incredible impressions channel.”

Q: Should we skip all the SERP optimization and just go right to optimizing for agents?

Tom answered: Not yet. Agents still need to decide which businesses to surface, and they do that using grounded LLMs that rely on SERPs underneath. “One way or another, this is coming back to the SERPs.” On top of that, Google search still dwarfs LLM interfaces by traffic volume. He noted an unverified stat he saw minutes before the webinar that AI Mode had hit roughly one million users, which is “staggeringly low when you consider Google’s overall user base.” Agent-only futures may come, but the underlying answering APIs will still be SERPs in machine-readable form.

Q: What are accessible ways to measure AEO/GEO visibility, since there’s no equivalent of Search Console for LLMs?

Tom answered: Three things. First, track prompt-level brand visibility, but don’t fall into the “I track 10,000 keywords but only 50 prompts” trap. LLM response variety demands a real sample size. Second, think in terms of topic volume, not prompt volume, since most specific prompts have a volume of one. Third, focus on mentions and recommendations rather than citations: “This is not ranked tracking… you are trying to be the tool or the product or the brand that is mentioned and recommended within the response.” He also suggested server log analysis to see which pages LLM grounding bots are actually hitting.

Q: Is organic likely to keep getting worse, or will AI fatigue bring traditional search back?

Tom answered: It’s not getting better, but the pace may slow. He pointed to Google I/O as evidence: Google held back from rolling AI Mode out broadly, suggesting internal nervousness about user readiness. AI Mode handles informational queries reasonably but struggles with navigational searches and specific result types like weather widgets. Both ChatGPT and AI Mode have also been adding more links over time, because users still want to reach websites. His honest take: “I don’t think we’re going back to where we were. I’m afraid I think ultimately people quite like having the answer asked for them.”

Watch the Full Webinar

The full session, including Capper’s SERP comparisons, vertical-level breakdowns, and the AI tracking framework, is available on demand from Search Engine Journal. Watch it for the data, stay for the budget pitch.

Why LLMs Cite Reddit Instead Of Your Brand: A Practical AI Visibility Audit [Webinar] via @sejournal, @lorenbaker

When a customer asks ChatGPT, Gemini, or Google AI Overviews about a brand near them, the answer increasingly comes from a Reddit thread.

For many brands, their owned content is not showing up.

Across most industries, Reddit is now the single most-cited source in AI search. For multi-location brands, that creates a problem most haven’t solved: showing up consistently inside answers across every market, neighborhood, and language they operate in.

Why Reddit Sits Behind So Many AI Answers

AI search engines weight community signals heavily because they read as authentic, peer-validated, and ongoing.

Reddit’s threaded conversations, upvote patterns, and topic communities give models exactly the kind of context their retrieval systems prioritize. The brands earning AI citations are the ones whose community presence and whose location data give models something credible to surface.

What You’ll Learn In This AI Search Webinar

  • The community signals Claude, Gemini, and Google AI Overviews actually weigh, plus which subreddit and content patterns get cited most often.
  • How trusted, structured location data works in tandem with community signals to land multi-location brands inside AI answers.
  • The 5 specific plays multi-location brands across retail, QSR, healthcare, financial services, automotive, and hospitality are running right now.
  • How to scale AI search across dozens (or hundreds) of locations without losing the local voice that makes communities trust you.

About the Speakers

Amanda Kusner, Sr. Solutions Consultant at Uberall, works directly with multi-location enterprises on location data strategy and AI search visibility across retail, QSR, financial services, automotive, healthcare, and hospitality. Peter Wischmann, Senior Sales & GTM Leader at Reddit, brings the platform-side view on how community signals get surfaced in AI search and what brands can actually do about it.

Register Today

If your brand operates across multiple locations and you’re trying to figure out how to land inside AI answers in every market you serve, this session is built for you.

How To: Optimize Your Small Business For AI-Powered Search via @sejournal, @lorenbaker

Your next customer is searching right now. Will they find you?

Waiting to show up alongside your competitors on Google Maps?

Customers are finding local businesses through AI assistants, voice search, social platforms, and review sites. You should be in these places, too.

👆 Get the exact steps to show up where your next customer is already searching. Register above to watch the full session.

Stop Being Invisible: Get Your Small Business Found Across Every Channel Your Customers Are Using

This small business marketing webinar gives you a clear, channel-by-channel system for building the kind of online presence that earns trust before the first call.

Watch Kelli Henthorn and Kevin White, Small Business Experts at Thryv, as they share a step-by-step framework for optimizing your Google Business Profile, social presence, and review strategy so customers can find you on AI, in SERP features, no matter where they’re searching.

You’ll Learn How To:

  • Show up in AI and voice search results: What signals AI assistants rely on and the specific steps to make sure your business appears.
  • Turn Google Business Profiles (GBP), social, and reviews into discovery channels: A practical framework for making each platform actively drive calls and visits.
  • Audit your digital front door: A fast way to find where your online presence is losing customers and prioritize the fixes that matter most.

Thryv’s small business experts shared proven, actionable strategies to help you build an online presence that gets found, earns trust, and turns searches into customers.

Register above to get the practical, channel-by-channel playbook every small business owner needs to show up confidently in AI search, Google, social, and reviews.

Modern Local SEO & AI Visibility: How To Get Clients Into AI Results via @sejournal, @hethr_campbell

Keyword research has a new purpose, and it’s getting local businesses into AI results.

Why are some local businesses surfacing in AI recommendations while better-ranked competitors aren’t?

Why isn’t my local client showing up in AI recommendations?

How do I get keyword research to work for AI search results?

AI recommendations for local businesses run on trust signal activity, such as keyword-rich, consistent engagement that on-page SEO alone doesn’t generate.

How To Turn Keyword Research Into AI Visibility & Recommendations

In this on-demand session, Jeff Schwerdt, CEO of Reviewly.ai, shared a practical approach to deploying keyword research into local AI trust signals. He covered where AI is pulling keyword-rich signals from, how to build and place them correctly by signal type, and how to keep that activity running consistently across every local business account.

Register above to watch the full session.

You’ll Learn:

  • How to identify what sources AI is pulling keyword-rich signals from: Reviews, responses, and GBP activity, and how keyword placement inside each one influences local AI recommendations.
  • How to build keyword-driven trust signals for a local client from scratch: Keyword selection, placement by signal type, and the response cadence that tells AI a business is active and relevant.
  • How to automate keyword trust signal activity across your full client roster: How to set up review response automation, keyword refresh intervals, and GBP activity scheduling so every client account runs on a consistent weekly cadence.

Register above to watch the recording and give your existing local SEO process a direct line into AI search results.

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.