Why Strategic Review Is The Missing Layer In Many SEO Campaigns via @sejournal, @coreydmorris

Whether you call your SEO efforts a strategy, campaign, or channel, many SEO programs start strong but slowly drift. That could be in the form of reports getting routine, dashboards taking over for thinking, and moving into a mode of “doing SEO” versus challenging and building it.

In many cases, there’s an initial audit, roadmap, and then turn to implementation. Those are all good things, and I strongly advocate for the right level of strategy, research, and planning before moving into any level of ongoing work. However, monthly reports or dashboards, and little reflection can lead to stale tactics.

When activity, tactics, and implementation are the biggest part of what is reported on and/or measured, I question if enough strategic thinking and approach exist.

A strategic review and approach included a structured, periodic checkpoint within the process to assess performance. That includes a mixture of team (and resource/partner/vendor) alignment, execution, and continued connection to overall business goals that SEO is mapped out to impact.

Similar to a retrospective or ending a sprint in agile methodology, it is time for a look backwards at what worked, what didn’t, and where we need to go next in the overall SEO investment. This is different than just a set of reports and metrics; it is time for true reflection and recalibration beyond just measurement.

Why Strategy Is Often Missing

There are some common reasons SEO teams and resources skip strategic review and don’t have the layer fully in place. At times, SEO can seem like an ongoing checklist of things to audit, crawl, fix, and optimize. It can also feel like something that is always on or never-ending.

While all of those things are true to some degree, I think with SEO being a longer-term discipline before seeing return on investment (ROI), there’s pressure to show activity as progress before seeing tangible results, and this can be hard to change after habits and patterns form are embedded in the process.

Agency and client relationships can become rooted in deliverables and lose strategic direction over time. Or, a lack of ownership can exist where no one person or entity truly feels accountable for stepping back and considering if the strategy is still right and delivering.

Risks Of Skipping Strategy

When teams lack or drift from strategy, they run the risk of optimizing for the wrong things. Whether that is the topics, content, context, or even chasing the wrong key performance indicators (KPIs). Going for traffic and things that show activity and progress alone, and are disconnected from the bottom line, lead to danger when they can’t convert at some point.

Additionally, silos can exist, and insights can stay within the silos. When SEO is reduced to activities, tactics, and just actions, learnings from content, dev, brand, product development, customer service, leadership, and other functions aren’t shared with SEO, and vice versa.

Plus, in a world where new information, strategies, and opportunities seemingly emerge daily with how SEO works, AI search, and other areas of change, it is easy to get outdated quickly with assumptions about intent, audience behavior, and connections to the bottom line.

Strategy Integrated Ongoing SEO

Establish A Cadence

The ideal timing for how often to revisit strategy or how it integrates into the ongoing SEO effort is different for everyone. Whether it is quarterly, monthly, or on some frequency that matches the speed at which SEO can and will be implemented, along with the speed of the rest of the moving parts in digital marketing, it is important to lock it in. And, adjust where necessary, but do not keep pushing it down the road.

Since SEO is often an indefinitely ongoing investment, I like the use of sprints and agile thinking, and in this case, building into the agile process. Ultimately, the goal is to not drift or move into a void far enough where strategy problems start happening, yet are missed or ignored.

Dig Deep Enough

However and whenever you build in the strategic review part of the process, there are some key questions to ask however formally you format the process.

This starts with strategy alignment. Are our current goals still the right ones to anchor to? Do they map out to business outcomes versus indicators or vanity metrics? Can we get deep enough in measurement of impact and attribution?

From there, execution and focus are important to review. This includes looking at the tactics that had an impact versus those that didn’t. And, to fully understand why.

Now, we can set our sights on the next sprint or period, looking forward. Consider the opportunities ahead, including trends, SERP features, audience behaviors, AI, and anything else that has emerged that needs to be factored into the effort.

Bring People Together

A tale as old as time in SEO having the best plans stalled out by a lack of resources or a strong resource plan. This means we need to make sure we have the right people, whether they are on the team, in another department, freelance, or at a vendor company, booked and lined up to help us implement.

Better yet, if you can have them in the room with you at any part of the strategic review to learn from the insights you’re seeing and help shape the plan, sharing out of their subject matter expertise and perspective, even better. This is your chance to break down silos and get more integration of SEO with other functions.

Be Structured

I have to confess that I love to iterate and try new things with processes. That’s part of what drew me into SEO over 20 years ago. However, I think that there has to be consistency in the approach and process. You don’t want to spend too much time overdoing it in ongoing strategic reviews. At the same time, you don’t want to be too shallow and gloss over it.

I recommend borrowing some agile retrospective agenda formats and structures to look at what to start, stop, continue, and plan what’s next. Borrow from that if you are struggling to come up with a simple enough, yet powerful review criteria and process.

Revise The Plan

It might feel like a given that you’ll take the work you did and integrate it into your plan and efforts. I simply want to wrap up here by stating the obvious that you need to feed insights into the next period’s plan. That could also include adjusting goals, KPIs, and tactical priorities.

The key is to take things from talk and spreadsheets to action. Especially if your efforts have multiple layers, integrations of teams, or client/agency relationships.

Wrapping Up

SEO is a long game, but progress happens in shorter cycles. It can become a routine, a checklist, or a thing to “do” over time. Often, outdated strategies and tactics come from a lack of frequent enough critical strategic review and adjustment.

My goal for you is to not encounter these issues or find out later than you wished that your SEO has been drifting or gotten stale and isn’t delivering (and hasn’t for some time). The most strategic SEO efforts aren’t always the busiest or most activity-filled with quantity, but are focused on quality and have the mechanisms in place and often enough to adapt intentionally.

The best SEO teams and efforts aren’t just executing; they’re evolving.

More Resources:


Featured Image: Master1305/Shutterstock

Measuring Visibility When Rankings Disappear [Webinar] via @sejournal, @hethr_campbell

Learn How to Track What Really Matters in AI Search

Tools like ChatGPT, Perplexity, and Google’s AI Mode no longer deliver ranked results; they deliver answers. So what happens when traditional SEO metrics no longer apply?

Join AJ Ghergich, Global VP of AI and Consulting Services at Botify, and Frank Vitovitch, VP of Solutions Consulting at Botify, for a live webinar that reveals how to measure visibility in the new search era.

What You’ll Learn

Why Attend

This session will help you move beyond outdated ranking metrics and build smarter frameworks for measuring performance in AI search. You’ll walk away with a clear, data-driven approach to visibility that keeps your team ahead of change.

Register now to learn how to track success in AI search with confidence and clarity.

🛑 Can’t make it live? Register anyway and we’ll send you the on-demand recording.

How to Turn Every Campaign Into Lasting SEO Authority [Webinar] via @sejournal, @hethr_campbell

Capture Links, Mentions, and Citations That Make a Difference

Backlinks alone no longer move the authority needle. Brand mentions are just as critical for visibility, recognition, and long-term SEO success. Are your campaigns capturing both?

Join Michael Johnson, CEO of Resolve, for a webinar where he shares a replicable campaign framework that aligns media outreach, SEO impact, and brand visibility, helping your campaigns become long-term assets.

What You’ll Learn

  • The Resolve Campaign Framework: Step-by-step approach to ideating, creating, and pitching SEO-focused digital PR campaigns.
  • The Dual Outcome Strategy: How to design campaigns that earn both high-quality backlinks and brand mentions from top-tier media.
  • Real Campaign Case Studies: Examples of campaigns that created a compounding effect of links, mentions, and brand recognition.
  • Techniques for Measuring Success: How to evaluate the SEO and branding impact of your campaigns.

Why You Can’t Miss This Webinar

Successful SEO campaigns today capture authority on multiple fronts. This session provides actionable strategies for engineering campaigns that work hand in hand with SEO, GEO, and AEO to grow your brand.

📌 Register now to learn how to design campaigns that earn visibility, links, and citations.

🛑 Can’t attend live? Register anyway, and we’ll send you the recording so you don’t miss out.

The AI Search Visibility Audit: 15 Questions Every CMO Should Ask

This post was sponsored by IQRush. The opinions expressed in this article are the sponsor’s own.

Your traditional SEO is winning. Your AI visibility is failing. Here’s how to fix it.

Your brand dominates page one of Google. Domain authority crushes competitors. Organic traffic trends upward quarter after quarter. Yet when customers ask ChatGPT, Perplexity, or others about your industry, your brand is nowhere to be found.

This is the AI visibility gap, which causes missed opportunities in awareness and sales.

SEO ranking on page one doesn’t guarantee visibility in AI search.  The rules of ranking have shifted from optimization to verification.”

Raj Sapru, Netrush, Chief Strategy Officer

Recent analysis of AI-powered search patterns reveals a troubling reality: commercial brands with excellent traditional SEO performance often achieve minimal visibility in AI-generated responses. Meanwhile, educational institutions, industry publications, and comparison platforms consistently capture citations for product-related queries.

The problem isn’t your content quality. It’s that AI engines prioritize entirely different ranking factors than traditional search: semantic query matching over keyword density, verifiable authority markers over marketing claims, and machine-readable structure over persuasive copy.

This audit exposes 15 questions that separate AI-invisible brands from citation leaders.

We’re sharing the first 7 critical questions below, covering visibility assessment, authority verification, and measurement fundamentals. These questions will reveal your most urgent gaps and provide immediate action steps.

Question 1: Are We Visible in AI-Powered Search Results?

Why This Matters: Commercial brands with strong traditional SEO often achieve minimal AI citation visibility in their categories. A recent IQRush field audit found fewer than one in ten AI-generated answers included in the brand, showing how limited visibility remains, even for strong SEO performers. Educational institutions, industry publications, and comparison sites dominate AI responses for product queries—even when commercial sites have superior content depth. In regulated industries, this gap widens further as compliance constraints limit commercial messaging while educational content flows freely into AI training data.

How to Audit:

  • Test core product or service queries through multiple AI platforms (ChatGPT, Perplexity, Claude)
  • Document which sources AI engines cite: educational sites, industry publications, comparison platforms, or adjacent content providers
  • Calculate your visibility rate: queries where your brand appears vs. total queries tested

Action: If educational/institutional sources dominate, implement their citation-driving elements:

  • Add research references and authoritative citations to product content
  • Create FAQ-formatted content with an explicit question-answer structure
  • Deploy structured data markup (Product, FAQ, Organization schemas)
  • Make commercial content as machine-readable as educational sources

IQRush tracks citation frequency across AI platforms. Competitive analysis shows which schema implementations, content formats, and authority signals your competitors use to capture citations you’re losing.

Question 2: Are Our Expertise Claims Actually Verifiable?

Why This Matters: Machine-readable validation drives AI citation decisions: research references, technical standards, certifications, and regulatory documentation. Marketing claims like “industry-leading” or “trusted by thousands” carry zero weight. In one IQRush client analysis, more than four out of five brand mentions were supported by citations—evidence that structured, verifiable content is far more likely to earn visibility. Companies frequently score high on human appeal—compelling copy, strong brand messaging—but lack the structured authority signals AI engines require. This mismatch explains why brands with excellent traditional marketing achieve limited citation visibility.

How to Audit:

  • Review your priority pages and identify every factual claim made (performance stats, quality standards, methodology descriptions)
  • For each claim, check whether it links to or cites an authoritative source (research, standards body, certification authority)
  • Calculate verification ratio: claims with authoritative backing vs. total factual claims made

Action: For each unverified claim, either add authoritative backing or remove the statement:

  • Add specific citations to key claims (research databases, technical standards, industry reports)
  • Link technical specifications to recognized standards bodies
  • Include certification or compliance verification details where applicable
  • Remove marketing claims that can’t be substantiated with machine-verifiable sources

IQRush’s authority analysis identifies which claims need verification and recommends appropriate authoritative sources for your industry, eliminating research time while ensuring proper citation implementation.

Question 3: Does Our Content Match How People Query AI Engines?

Why This Matters: Semantic alignment matters more than keyword density. Pages optimized for traditional keyword targeting often fail in AI responses because they don’t match conversational query patterns. A page targeting “best project management software” may rank well in Google but miss AI citations if it doesn’t address how users actually ask: “What project management tool should I use for a remote team of 10?” In recent IQRush client audits, AI visibility clustered differently across verticals—consumer brands surfaced more frequently for transactional queries, while financial clients appeared mainly for informational intent. Intent mapping—informational, consideration, or transactional—determines whether AI engines surface your content or skip it.

How to Audit:

  • Test sample queries customers would use in AI engines for your product category
  • Evaluate whether your content is structured for the intent type (informational vs. transactional)
  • Assess if content uses conversational language patterns vs. traditional keyword optimization

Action: Align content with natural question patterns and semantic intent:

  • Restructure content to directly address how customers phrase questions
  • Create content for each intent stage: informational (education), consideration (comparison), transactional (specifications)
  • Use conversational language patterns that match AI engine interactions
  • Ensure semantic relevance beyond just keyword matching

IQRush maps your content against natural query patterns customers use in AI platforms, showing where keyword-optimized pages miss conversational intent.

Question 4: Is Our Product Information Structured for AI Recommendations?

Why This Matters: Product recommendations require structured data. AI engines extract and compare specifications, pricing, availability, and features from schema markup—not from marketing copy. Products with a comprehensive Product schema capture more AI citations in comparison queries than products buried in unstructured text. Bottom-funnel transactional queries (“best X for Y,” product comparisons) depend almost entirely on machine-readable product data.

How to Audit:

  • Check whether product pages include Product schema markup with complete specifications
  • Review if technical details (dimensions, materials, certifications, compatibility) are machine-readable
  • Test transactional queries (product comparisons, “best X for Y”) to see if your products appear
  • Assess whether pricing, availability, and purchase information is structured

Action: Implement comprehensive product data structure:

  • Deploy Product schema with complete technical specifications
  • Structure comparison information (tables, lists) that AI can easily parse
  • Include precise measurements, certifications, and compatibility details
  • Add FAQ schema addressing common product selection questions
  • Ensure pricing and availability data is machine-readable

IQRush’s ecommerce audit scans product pages for missing schema fields—price, availability, specifications, reviews—and prioritizes implementations based on query volume in your category.

Question 5: Is Our “Fresh” Content Actually Fresh to AI Engines?

Why This Matters: Recency signals matter, but timestamp manipulation doesn’t work. Pages with recent publication dates, but outdated information underperforms older pages with substantive updates: new research citations, current industry data, or refreshed technical specifications. Genuine content updates outweigh simple republishing with changed dates.

How to Audit:

  • Review when your priority pages were last substantively updated (not just timestamp changes)
  • Check whether content references recent research, current industry data, or updated standards
  • Assess if “evergreen” content has been refreshed with current examples and information
  • Compare your content recency to competitors appearing in AI responses

Action: Establish genuine content freshness practices:

  • Update high-priority pages with current research, data, and examples
  • Add recent case studies, industry developments, or regulatory changes
  • Refresh citations to include latest research or technical standards
  • Implement clear “last updated” dates that reflect substantive changes
  • Create update schedules for key content categories

IQRush compares your content recency against competitors capturing citations in your category, flagging pages that need substantive updates (new research, current data) versus pages where timestamp optimization alone would help.

Question 6: How Do We Measure What’s Actually Working?

Why This Matters: Traditional SEO metrics—rankings, traffic, CTR—miss the consideration impact of AI citations. Brand mentions in AI responses influence purchase decisions without generating click-through attribution, functioning more like brand awareness channels than direct response. CMOs operating without AI visibility measurement can’t quantify ROI, allocate budgets effectively, or report business impact to executives.

How to Audit:

  • Review your executive dashboards: Are AI visibility metrics present alongside SEO metrics?
  • Examine your analytics capabilities: Can you track how citation frequency changes month-over-month?
  • Assess competitive intelligence: Do you know your citation share relative to competitors?
  • Evaluate coverage: Which query categories are you blind to?

Action: Establish AI citation measurement:

  • Track citation frequency for core queries across AI platforms
  • Monitor competitive citation share and positioning changes
  • Measure sentiment and accuracy of brand mentions
  • Add AI visibility metrics to executive dashboards
  • Correlate AI visibility with consideration and conversion metrics

IQRush tracks citation frequency, competitive share, and month-over-month trends across across AI platforms. No manual testing or custom analytics development is required.

Question 7: Where Are Our Biggest Visibility Gaps?

Why This Matters: Brands typically achieve citation visibility for a small percentage of relevant queries, with dramatic variation by funnel stage and product category. IQRush analysis showed the same imbalance: consumer brands often surfaced in purchase-intent queries, while service firms appeared mostly in educational prompts. Most discovery moments generate zero brand visibility. Closing these gaps expands reach at stages where competitors currently dominate.

How to Audit:

  • List queries customers would ask about your products/services across different funnel stages
  • Group them by funnel stage (informational, consideration, transactional)
  • Test each query in AI platforms and document: Does your brand appear?
  • Calculate what percentage of queries produce brand mentions in each funnel stage
  • Identify patterns in the queries where you’re absent

Action: Target the funnel stages with lowest visibility first:

  • If weak at informational stage: Build educational content that answers “what is” and “how does” queries
  • If weak at consideration stage: Create comparison content structured as tables or side-by-side frameworks
  • If weak at transactional stage: Add comprehensive product specs with schema markup
  • Focus resources on stages where small improvements yield largest reach gains

IQRush’s funnel analysis quantifies gap size by stage and estimates impact, showing which content investments will close the most visibility gaps fastest.

The Compounding Advantage of Early Action

The first seven questions and actions highlight the differences between traditional SEO performance and AI search visibility. Together, they explain why brands with strong organic rankings often have zero citations in AI answers.

The remaining 8 questions in the comprehensive audit help you take your marketing further. They focus on technical aspects: the structure of your content, the backbone of your technical infrastructure, and the semantic strategies that signal true authority to AI. 

“Visibility in AI search compounds, making it harder for your competition to break through. The brands that make themselves machine-readable today will own the conversation tomorrow.”
Raj Sapru, Netrush, Chief Strategy Officer

IQRush data shows the same thing across industries: early brands that adopt a new AI answer engine optimization strategy quickly start to lock in positions of trust that competitors can’t easily replace. Once your brand becomes the reliable answer source, AI engines will start to default to you for related queries, and the advantage snowballs.

The window to be an early adopter and take AI visibility for your brand will not stay open forever.  As more brands invest in AI visibility, the visibility race is heating up.

Download the Complete AI Search Visibility Audit with detailed assessment frameworks, implementation checklists, and the 8 strategic questions covering content architecture, technical infrastructure, and linguistic optimization. Each question includes specific audit steps and immediate action items to close your visibility gaps and establish authoritative positioning before your market becomes saturated with AI-optimized competitors.

Image Credits

Featured Image: Image by IQRush. Used with permission.

In-Post Images: Image by IQRush. Used with permission.

Why Some Brands Win in AI Overviews While Others Get Ignored [Webinar] via @sejournal, @hethr_campbell

Turn Reviews Into Real Visibility, Trust, and Conversions

Reviews are no longer just stars on a page. They are key trust signals that influence both humans and AI. With AI increasingly shaping which brands consumers trust, it is critical to know the review tactics that drive visibility, loyalty, and ROI.

Join our November 5, 2025 webinar to get a research-backed playbook that turns reviews and AI into measurable gains in search visibility, conversions, and credibility.

What You Will Learn

  • How trust signals like recency, authenticity, and response style influence rankings and conversions.
  • Where consumers are reading, leaving, and acting on reviews across Google, social media, and other platforms.
  • Proven frameworks for responding to reviews that build credibility, mitigate risks, and increase loyalty.

Why You Cannot Miss This Webinar

Based on a study of over 1,000 U.S. consumers, this session translates those insights into actionable frameworks to prove ROI, protect reputation, and strengthen client retention.

Register now to learn the latest AI and review tactics that help your brand get chosen and trusted.

🛑 Can’t make it live? Sign up anyway, and we will send you the on-demand recording.

How Leaders Are Using AI Search to Drive Growth [Webinar] via @sejournal, @hethr_campbell

Turn Data Into an Actionable AI Search Strategy

AI search is transforming consumer behavior faster than any shift in the past 20 years. Many teams are chasing visibility, but few understand what the data actually means for their business or how to act on it.

Join Mark Traphagen, VP of Product Marketing and Training at seoClarity, and Tania German, VP of Marketing at seoClarity, for a live webinar designed for SEOs, digital leaders, and executives. You’ll learn how to interpret AI search data and apply it to your strategy to drive real business results.

What You’ll Learn

  • Why consumer discovery is changing so rapidly.
  • How visibility drives revenue with Instant Checkout in ChatGPT.
  • What Google’s AI Overviews and AI Mode mean for your brand’s presence.
  • Tactics to improve mentions, citations, and visibility on AI search engines.

Why Attend

This webinar gives you the clarity and measurement framework needed to confidently answer, “What’s our AI search strategy?” Walk away with a playbook you can use to lead your organization through the AI search shift successfully.

Register now to secure your seat and get a clear, data-backed framework for AI search strategy.

🛑 Can’t attend live? Register anyway, and we’ll send the full recording.

The AI Search Effect: What Agencies Need To Know For Local Search Clients

This post was sponsored by GatherUp. The opinions expressed in this article are the sponsor’s own.

Local Search Has Changed: From “Found” to “Chosen”

Not long ago, showing up in a Google search was enough. A complete Google Business Profile (GBP) and a steady stream of reviews could put your client in front of the right customers.

But today’s local search looks very different. It’s no longer just about being found; it’s about being chosen.

That shift has only accelerated with the rise of AI-powered search. Instead of delivering a list of links, engines like ChatGPT, Google’s Gemini, and Perplexity now generate instant summaries. Changing the way consumers interact with search results, these summaries are the key to whether or not your client’s business gets seen at all.

Reality Check: if listings aren’t accurate, consistent, and AI-ready, businesses risk invisibility.

AI Search Is Reshaping Behavior & Brand Visibility

AI search is already reshaping behavior.

Only 8% of users click a traditional link when an AI summary appears. That means the majority of your clients’ potential customers are making decisions without ever leaving the AI-generated response.

So, how does AI decide which businesses to include in its answers? Two categories of signals matter most:

Put simply, if a client’s listings are messy, incomplete, or outdated, AI is far less likely to surface them in a summary. And that’s a problem, considering more than 4 out of 5 people use search engines to find local businesses.

The Hidden Dangers of Neglected Listings

Agencies know the pain of messy listings firsthand. But your clients may not realize just how damaging it can be:

  • Trust erosion: 80% of consumers lose trust in businesses with incorrect or inconsistent.
  • Lost visibility: Roughly a third of local organic results now come from business directories. If listings are incomplete, that’s a third of opportunities gone.
  • Negative perception: A GBP with outdated hours or broken URLs communicates neglect, not professionalism.

Consider “Mary,” a marketing director overseeing 150+ locations. Without automation, her team spends hours chasing duplicate profiles, correcting seasonal hours, and fighting suggested edits. Updates lag behind reality. Customers’ trust slips. And every inconsistency is another signal to search engines, and now AI, that the business isn’t reliable.

For many agencies, the result is more than frustrated clients. It’s a high churn risk.

Why This Matters More Than Ever to Consumers

Consumers expect accuracy at every touchpoint, and they’re quick to lose confidence when details don’t add up.

  • 80% of consumers lose trust in a business with incorrect or inconsistent information, like outdated hours, wrong addresses, or broken links.
  • A Google Business Profile with missing fields or duplicate entries signals neglect.
  • When AI engines surface summaries, they pull from this. Inconsistencies make it less likely your client’s business will appear at all.

Reviews still play a critical role, but they work best when paired with clean, consistent listings. 99% of consumers read reviews before choosing a business, and 68% prioritize recent reviews over overall star ratings. If the reviews say “great service” but the business shows the wrong phone number or closed hours, that trust is instantly broken.

In practice, this means agencies must help clients maintain both accurate listings and authentic reviews. Together, they signal credibility to consumers and to AI search engines deciding which businesses make the cut.

Real-World Data: The ROI of Getting Listings Right

Agencies that take listings seriously are already seeing outsized returns:

  • A healthcare agency managing 850+ locations saved 132 hours per month and reduced costs by $21K annually through listings automation, delivering a six-figure annual ROI.
  • A travel brand optimizing global listings recorded a 200% increase in Google visibility and a 30x rise in social engagement.
  • A retail chain improving profile completeness saw a 31% increase in revenue attributed to local SEO improvements.

The proof is clear: accurate, consistent, and scalable listings management is no longer optional. It’s a revenue driver.

Actionable Steps Agencies Can Take Right Now

AI search is moving fast, but agencies don’t have to be caught flat-footed. Here are five practical steps to protect your clients’ visibility and trust.

1.  Audit Listings for Accuracy and Consistency

Start with a full audit of your clients’ GBPs and directory listings. Look for mismatches in hours, addresses, URLs, and categories. Even small discrepancies send negative signals to both consumers and AI search engines.

I know you updated your listings last year, and not much has changed, but unless your business is a time capsule, your customers expect real-time accuracy.

2.  Eliminate Duplicates

Duplicate listings aren’t just confusing to customers; they actively hurt SEO. Suppress duplicates across directories and consolidate data at the source to prevent aggregator overwrites. Google penalized 6.1% of business listings flagged for duplicate or spam entries in Q1 alone, underscoring how seriously platforms are taking accuracy enforcement.

3.  Optimize for Engagement

Encourage clients to respond authentically to reviews. Research shows 73% of consumers will give a business a second chance if they receive a thoughtful response to a negative review. Engagement isn’t just customer service; it’s a ranking signal.

4.  Create AI-Readable Content

AI thrives on structured, educational content. Encourage clients to build out their web presence with FAQs, descriptive product or service pages, and customer-centric content that mirrors natural language. This makes it easier for AI to pull them into summaries.

5.  Automate at Scale

Manual updates don’t cut it for multi-location brands. Implement automation for bulk publishing, data synchronization, and ongoing updates. This ensures accuracy and saves agencies countless hours of low-value labor.

The AI Opportunity: Agencies as Strategic Partners

For agencies, the rise of AI search is both a threat and an opportunity. Yes, clients who ignore their listings risk becoming invisible. But agencies that lean in can position themselves as strategic partners, helping businesses adapt to a disruptive new era.

That means reframing listings management not as “background work,” but as the foundation of trust and visibility in AI-powered search.

As GatherUp’s research concludes, “In the AI-driven search era, listings are no longer background work; they are the foundation of visibility and trust.”

The Time to Act Is Now

AI search is here, and it’s rewriting the rules of local visibility. Agencies that fail to help their clients adapt risk irrelevance.

But those that act now can deliver measurable growth, stronger client relationships, and defensible ROI.

The path forward is clear: audit listings, eliminate duplicates, optimize for engagement, publish AI-readable content, and automate at scale.

And if you want to see where your clients stand today, GatherUp offers a free listings audit to help identify gaps and opportunities.

👉 Run a free listings audit and see how your business measures up.

Image Credits

Featured Image: Image by GatherUp. Used with permission.

In-Post Images: Image by GatherUp. Used with permission.

5 SEO Tactics to Be Seen & Trusted on AI Search [Webinar] via @sejournal, @duchessjenm

Is your brand ready for AI-driven SERPs?

Search is evolving faster than ever. AI-driven engines like ChatGPT, Google SGE, and Bing Copilot are changing how users discover and trust brands. Traditional SEO tactics alone may no longer guarantee visibility or authority in Answer Engines.

Discover five proven tactics to protect your SERP presence and maintain trust in AI search.

What You’ll Learn

Craig Smith, Chief Strategy Officer at Outerbox, will show exactly how to adapt your SEO strategy for generative search and answer engines. 

You’ll walk away with actionable steps to:

Register now to get the SEO playbook your competitors wish they had.

Why You Can’t Miss This Webinar

AI Overviews are already impacting traffic. Brands that adapt now will dominate visibility and authority while others fall behind.

🛑 Can’t attend live? Register anyway and we’ll send you the recording so you can watch at your convenience.

Maximize Your AI Visibility Before Your Competitors Do [Webinar] via @sejournal, @lorenbaker

AI-driven search is rewriting the rules of discovery. 

ChatGPT, Perplexity, and Google AI Overviews are changing how customers find brands. Traditional rankings no longer guarantee visibility. 

Are you appearing where it matters most?

Discover proven strategies to boost your AI mentions and citations.

What You’ll Learn in This Session

Pat Reinhart, VP of Services & Thought Leadership at Conductor, and Luiza Shahbazyan, Sr. R&D Product Manager at Conductor, will show you exactly how to win in the age of AI search. You’ll learn:

  • How to maximize your brand’s visibility across AI answer engines.
  • Key signals that influence AI citations, including content authority and digital PR.
  • Practical strategies to earn mentions and strengthen trust signals.
  • How to adapt your SEO workflows for Answer Engine Optimization (AEO).

Reserve Your Spot Today

Register now to get actionable tactics and data-backed insights that help your brand show up in AI results.

🛑 Can’t attend live? Sign up anyway, and we’ll send the full recording straight to your inbox.

From SEO To GEO: How Can Marketers Adapt To The New Era Of Search Visibility? via @sejournal, @Semji_fr

This post was sponsored by Semji. The opinions expressed in this article are the sponsor’s own.

For three decades, SEO has been the cornerstone of digital visibility.

Keywords, backlinks, and technical optimization determined whether your brand appeared at the top of search results.

However, the landscape is shifting, and it’s likely that if you’re reading this article, you already know it.

With generative AI tools like ChatGPT, Google AI Overviews, Gemini, or Perplexity, users no longer rely solely on lists of blue links.

Instead, searchers and researchers receive synthesized, conversational answers that draw content from high-authority sources.

The message is clear: ranking alone is no longer enough.

To be visible in the age of AI, marketers need a complementary discipline, Generative Engine Optimization (GEO).

To do so, you need concrete methods and best practices to add GEO efficiently into your strategy.

What Is Generative Search Optimization (GEO)?

Generative Search Optimization (GEO) is the practice of ensuring that your content is selected, understood, and cited by large language models (LLMs) and generative engines.

How Does GEO Differ From Traditional SEO?

Traditional search engines use bots to crawl webpages and rank them.

LLMs synthesize patterns from massive pre-ingested datasets. LLMs and answer engines don’t index; they use them as their conversational padding.

What Is A Pre-Ingested Data Set?

Pre-ingested datasets are content that is pulled from websites, reviews, directories, forums, and even brand-owned assets.

This means your visibility no longer depends only on keywords

What Do I Need To Do To Show Up In AI Overviews & SERPs?

To increase your visibility in LLMs, your content must be:

Put simply: GEO ensures your brand shows up in the answers themselves as well as in the links beneath them.

How To Optimize For LLMs In GEO

Optimizing for LLMs is about aligning with how these systems select and reuse content.

From our analysis, three core principles stand out in consistently GEO-friendly content:

1. Provide Structure & Clarity

Generative models prioritize content that is well-organized and easy to parse. Clear headings, bullet points, tables, summaries… help engines extract information and recompose it into human-like answers.

2. Include Trust & Reliability Signals

LLMs reward factual accuracy, consistency, and transparency. Contradictions between your site, profiles, and third-party sources weaken credibility. Conversely, quoting sources, citing data, and showcasing expertise increase your chances of being cited!

3. Contextual & Semantic Depth Are Key

Engines rely less on keywords and more on contextual signals (as it has been more and more the case with Google these last years–hello BERT, haven’t heard from you in a while!). Content enriched with synonyms, related terms, and variations is more flexible and better aligned with diverse queries, which is especially important as AI queries are conversational, not just transactional.

3 Tips For Creating GEO-Friendly Content

In the GEO guide we’re sharing with you in this article, 15 tips are delivered–here are 3 of the most important ones:

1. Be Comprehensive & Intent-Driven

LLMs favor complete answers.

Cover not just the main query but related terms, variations, and natural follow-ups.

For example, if writing about “content ROI,” anticipate adjacent questions like “How do you measure ROI in SEO?” or “What KPIs prove content ROI?”!

By aligning with user intent, not just keywords, you increase the likelihood of your content being surfaced as the “best available answer” for the LLMs.

Learn how to do this.

2. Showcase E-E-A-T Signals

GEO is inseparable from trust. Engines look for identifiable signals of credibility:

  • Author bylines with expertise.
  • Real-world examples, roles, or case insights.
  • Transparent sourcing of statistics and references.
  • And many more opportunities to prove your credibility and authority.

Think of it as content that doesn’t just “read well,” but feels safe to reuse by the LLMs.

3. Optimize format for machine & human readability

Beyond clarity, formats like FAQs, how-tos, comparisons, and lists make your content both user-friendly and machine-friendly. Many SEO techniques are just as powerful and efficient in GEO:

  • Add alt text for visuals.
  • Include summaries and key takeaways in long-form content.
  • Use structured data and schema where relevant.

This dual optimization increases both discoverability and reusability in AI-generated answers.

Why It’s Essential To Optimize For LLMs

Skeptical about GEO? Consider this: 74% of problem-solving searches now surface AI-generated responses, and AI Overviews already appear in more than 1 in 10 Google queries in the U.S. AI Overviews, Perplexity summaries, and Gemini snapshots are becoming default behaviors in information-seeking. The line between “search” and “chat” is blurring.

The risk of ignoring GEO is not just lower traffic—it’s invisibility in the answer layer where trust and decisions are increasingly formed.

By contrast, marketers who embrace GEO can:

  • Defend brand presence where AI engines consolidate attention.
  • Create future-forward SEO strategies as search continues to evolve.
  • Maximize ROI by aligning content with both human expectations and machine logic.

In other words, GEO is not a trend: it’s a structural shift in digital visibility, where SEO remains essential but is no longer sufficient. GEO adds the missing layer: being cited, trusted, and reused by the engines that increasingly mediate how users access information.

GEO As A New Competitive Advantage

The age of GEO is here. For marketing and SEO leaders, the opportunity is to adapt faster than competitors—aligning content with the standards of generative search while continuing to refine SEO.

To win visibility in this environment, prioritize:

  • Auditing your current content for GEO readiness.
  • Enhancing clarity, trust signals, and semantic richness.
  • Monitoring your presence in AI Overviews, ChatGPT, and other generative engines.

Those who invest in GEO today will shape how tomorrow’s answers are written.

Want to explore the full framework of GEO?


Image Credits

Featured Image: Image by Semji. Used with permission.