With increased competition, stricter Google guidelines, and the rise of AI-powered search, standing out online is more challenging than ever.
For multi-location brands, this task is even harder as they must maintain a unified brand presence across all locations, yet fulfill consumers’ desire for personalized, local engagement.
Rallio isn’t just another scheduling platform, it’s the next generation of AI-powered tools revolutionizing how multi-location businesses stand out online.
AI-powered insights: Rallio’s AI Assistant operates 24/7, analyzing your data to uncover your strengths and growth opportunities. It also compares your performance against competitors, providing actionable strategies to outperform them.
AI-generated posts: Rallio’s AI instantly generates social media posts tailored to your brand’s style and messaging. Fresh, approved content is just a click away. It can also generate captions and hashtags from any image in your media library, saving time while boosting engagement.
AI-generated captions: Rallio makes creating compelling captions easy. With a simple prompt, it crafts engaging captions complete with relevant emojis and hashtags, driving interactions with your audience.
AI playbook: With the Rallio AI Playbook, you are able to customize your own AI engine that powers your brand from top to bottom throughout the platform. Your Playbook captures your brand voice, tone, and content preferences – everything the AI needs to create effective on-brand, tailored posts just for you.
Reputation management: Rallio simplifies managing reviews across multiple locations by consolidating all reviews into a single dashboard. Its AI generates personalized responses based on review context, saving time and ensuring consistency.
Employee advocacy: Rallio’s mobile app empowers your team to contribute authentic, hyper-local content by submitting photos and videos. This employee-driven content boosts engagement and local relevance, which are key for improving local SEO.
REVV – review acceleration: Positive reviews are crucial for visibility in search results, especially in Google’s Map Pack. Rallio’s REVV platform helps businesses collect and manage reviews through smart surveys, driving up review volume and improving online reputation.
By automating content creation, enhancing employee engagement, and streamlining review management, Rallio helps multi-location businesses build authentic relationships with local audiences while strengthening their national presence. Watch our free demo to see it in action.
How Rallio helps brands gain visibility in AI-powered search
Savvy marketers are focusing on generative engine optimization (GEO) to gain visibility in AI-powered search engines like ChatGPT, Perplexity, and more. A principle of GEO is to prioritize relevance, engagement, and authority, and that’s precisely how Rallio helps boost visibility.
Social signals: Rallio generates content that drives likes, shares, and comments, increasing engagement with your brand.
Local SEO: By focusing on localized posts and employee-driven content, Rallio boosts visibility in local search results and Google’s Map Pack.
Authority: Rallio ensures consistent, high-quality content across platforms, which signals trust and authority to search engines.
Reputation: Managing and responding to reviews effectively enhances local SEO and reinforces brand credibility.
If your brand is leveraging GEO strategies, Rallio can be your secret weapon to boost engagement, relevance, and authority, helping you stand out in search results.
Ready to see Rallio in action? Get instant access to our free demo
Take the first step toward transforming your brand’s online presence with Rallio. Get instant access to our free demo video here.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2025/09/Ignite-Visibility-20250923-header-nsWDQ8.webp?fit=1500%2C800&ssl=18001500http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-09-23 11:00:002025-09-23 11:00:00The must-have social media tool for multi-location brands in 2026 by Rallio
Google Ads rolled out a beta feature that lets app marketers apply Seasonality Adjustments to Smart Bidding, giving advertisers more control during short, high-impact events like flash sales or product launches.
Why we care. App campaigns often see sharp conversion swings during promotions, but Smart Bidding typically learns reactively. This beta gives them the ability to proactively boost bids during predictable conversion spikes, ensuring they capture maximum value from short-term promotions and avoid leaving revenue on the table.
How it works:
Works across all App campaign bid strategies.
Best for short, intense periods (1–7 days).
Not meant for minor fluctuations (Smart Bidding already accounts for those).
Bottom line. Advertisers now have a lever to prevent missed opportunities during critical promotional windows, making Smart Bidding more predictable when the stakes are highest.
First seen. This was announced by Qais Haddad, senior app growth manager at Google, on LinkedIn.
Google’s documentation says advertisers can only add 5,000 keywords to a campaign-level negative keyword list. But one advertiser has reported successfully adding more – raising questions about whether this is a glitch or an unannounced update.
Why we care. Negative keyword lists are critical for advertisers, helping them cut wasted spend and prevent ads from showing on irrelevant searches. A higher limit could be a welcome change for large accounts managing thousands of exclusions – but only if Google confirms it’s intentional.
Driving the news. Stan Oppenheimer, paid search specialist at Dallas SEO Dogs, spotted a search campaign with more than 5,000 negatives (i.e. the published limit).
Oppenheimer flagged the issue to Google, asking for clarification and for the official help docs to be updated.
Between the lines. If this is more than a glitch, it could be part of Google’s broader push to standardize campaign limits across formats. But the lack of clarity leaves advertisers unsure whether they can rely on the higher cap.
What’s next. Until Google confirms, advertisers should proceed cautiously – and assume the official 5,000-word cap still applies to search campaigns.
What are Google saying. “The threshold remains 5,000 keywords per negative keyword list, but there may be some cases in which lists a bit over the limit are accepted.” Ginny Marvin, Google Ads Liaison, confirmed on X:
Still measuring success by clicks alone? You’re falling behind.
AI tools like Google’s AI Overviews and ChatGPT have changed how people search for information. They’ve also created shifts in how they buy. Users today skip your homepage and make purchasing decisions inside the AI interface itself. That often means you’re either in the answer or completely outside the funnel.
There’s good news, though: This shift opens huge opportunities for forward-thinking marketers.
If you understand how to optimize for this new behavior, you can turn tools like ChatGPT into a sales engine. Let’s break down how it works.
Key Takeaways
Generative AI is collapsing the sales funnel. Users discover, compare, and convert all in one place.
Using ChatGPT to drive sales influences buyer behavior and purchase intent.
Visibility in AI tools involves designing content for citations as well as search rankings.
Use structured content, a curated off-site presence, and trust-building formats to boost your AI inclusion.
Mid-funnel tools like quizzes and calculators engage users and make your brand AI-citable.
How Generative AI is Changing The Sales Funnel
Buyers today don’t always click through multiple sites to make a decision. Instead, they’re finding discovery, validation, and recommendations right inside AI tools. Just check out these numbers:
44% of users say they’d purchase based on AI suggestions (GWI).
If you don’t show up in the results, you’re not showing up in the decision. These tools compress the traditional sales funnel, leading to fewer clicks and faster decisions. While users might not visit your site, your influence can still drive sales.
AI Visibility and Purchasing Decisions
When we talk about AI, we’re not just talking about “being seen.” The best brands are trusted, referenced, and included in the places that now influence buyers the most.
The source list is short on platforms like Google’s AI Mode and ChatGPT results. Your content needs to live in the places these tools pull from. Blogs just won’t cut it anymore. Affiliate sites, YouTube demos, Reddit threads, and product roundups are all important spots for inclusion. Visibility does not equal volume. Instead, focus on smart placement. One strong citation can influence more than 1,000 impressions.
How To Design For Sales Instead of Clicks Using AI Tools
If you want to win in a world where AI is on top, stop thinking about blue links. Traditional SEO is no longer enough. Start thinking like an AI engine and focus on GEO. Your job is no longer to focus on traffic. Instead, prioritize being the answer. To do that, structure content in ways AI tools understand, cite, and trust.
Choose The Right Formats and Structure
AI loves content that it can summarize. Here’s what works well:
Comparison tables to help users evaluate options
How-to guides that break down actionable steps
FAQ-style layouts that clearly answer high-intent questions
Visual assets like product images and demo videos
WikiHow’s “How to Write a How-To Guide” is some Inception-level stuff, but it lays things out clearly.
Wirecutter’s dog bed recommendations include multiple options that compare price and explain why each one is a great pick.
Think outside of word count; high-level scanning and structure trump length. Break your content into sections with strong headers (while using H2s and H3s to break them up correctly!). Highlight key facts with short summaries. Keep important information above the fold.
Include CTAs and trust signals near the top, such as expert quotes, star ratings, or certifications. These aren’t just for the users’ benefit; they also help AI gauge authority.
Own The Mid-Funnel With Smart Tools
Want AI tools to reference your site more often? Give them something worth referencing. That includes mid-funnel tools:
Product quizzes
ROI calculators
“Find your fit” recommendation engines
Yes, these engage users and help make purchasing decisions. But they also create structured data AI loves.
Hat brand Melin offers a fit quiz to narrow down the types of hats a user might want to buy.
Here’s an example: Perplexity often cites sites that offer interactive decision tools. Why? Because they help guide the user journey. That adds value to citations. In addition, these tools collect first-party data. Every answer a user gives you is yet another chance to personalize their experience and move them closer to purchase.
Be Featured Where AI Is Pulling Results
Your site isn’t the only place that AI tools crawl. They can also pull information from:
YouTube demos
Reddit threads
Expert roundups
Affiliate review lists
By only optimizing your blog, you’re missing most of the playing field.
How do you get your information out there? Start partnering with trusted voices and submit your product to curated lists. Ask for mentions in credible roundups from publications. Every off-site citation is a new entry point to the AI’s answer box (and potentially the buyer’s journey).
Serve AI Crawlers and Consumers
It’s no surprise that many of the best practices for traditional SEO still work for AI crawlers. You may need to optimize for more specific questions. Write page titles that answer the query and use clean meta descriptions, not keyword-stuffed blurbs. Adding alt text to every image is critical, too.
For pages that feature lots of long-form content, consider converting it into short Q&A blocks or featured snippet formats. Don’t neglect schema, either; while it’s not enough on its own, it still supports AI discovery. At the end of the day, semantic clarity and good formatting win out.
Structure helps machines understand, but clear, helpful copy wins users.
Measure Impact and Capture Leads
Even though the traffic won’t look the same, AI impact is still measurable (and monetizable). Start with UTM parameters for AI tools like Perplexity, Bing, or Gemini. Short polls asking “How did you find us?” can help identify AI-driven exposure, while tools like Hotjar or session replays help you understand user behavior.
With this information in hand, you’re ready to act. Trigger notifications flow when AI-originated traffic hits your site, including “Why Gemini recommends us for [X]” or “Here’s why ChatGPT ranked us #1.”
If someone lands from an AI platform, they’re already pre-sold on the product. Your job is to make it easy to convert.
Common Mistakes To Avoid With AI
Even seasoned marketers can make missteps when they optimize for AI. Sometimes that means chasing traffic instead of conversions. After all, ranking high doesn’t matter if the content doesn’t drive decisions. Ignoring the affiliate ecosystem is another flag. Because AI tools lean hard on third-party validation, failing to appear on those comparison lists or review roundups could make you invisible.
Finally, don’t assume traditional SEO is enough. While many of the best practices for one can apply to the other, it’s not a pure apples-to-apples comparison. AI engines don’t think in blue links. They think in summaries, structure, and semantic relevance.
Treat AI platforms as their own ecosystems. Because they are.
Conclusion
The customer sales journey has rapidly evolved, and AI has played a big role. From ChatGPT to Google’s AI Mode, users form opinions, compare options, and convert before visiting your site. Ranking alone isn’t enough to win in this environment. You must become the answer.
That means structured content and AI-friendly formats. Build smart tools and a strategic off-site presence to earn more trust and citations.
AI has shifted from a current trend to the next phase of search. If you’re ready to lead in it, we’re here to help.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-09-22 15:21:092025-09-22 15:21:09Beyond Traffic: How To Drive Sales Through Google’s AI Mode and ChatGPT
A trial many expected to fizzle has delivered a bombshell: Judge Leonie Brinkema ruled Google illegally monopolized digital advertising, setting up a remedies phase that could force major changes to its ad tech stack. But with Google already losing ground in ad tech and the web fragmenting into retail media, walled gardens, and AI-native platforms, the remedies may feel like too little, too late.
Why we care. The DOJ wants to unwind Google’s dominance by weakening its ad exchange (AdX) and prying open its auction logic. Publishers and advertisers argue this could level the playing field. If auction logic is opened up and interoperability enforced, advertisers may see more competition, better pricing, and greater transparency. But if the remedies stall or prove symbolic, the status quo remains – while spend continues shifting toward walled gardens and retail media networks.
Zoom in:
The DOJ’s asks. Strip AdX from DFP, open-source auction logic, and revisit divestiture if competition doesn’t improve.
Google’s counter. Interoperability with rival ad servers, no “first look” or “last look” privileges, and scrapping unified pricing rules—without divestiture.
Witnesses. Executives from DailyMail.com, AWS, PubMatic, and Index Exchange will testify against Google, while Google leans on its own engineers and Columbia University experts.
Between the lines. Even if the court forces remedies, Google’s grip on display ads has already slipped as advertisers shift spend into walled gardens and AI-driven platforms. The ruling could end up more symbolic than transformative.
What’s next.Testimony runs Sept. 22–30, with a ruling expected in 2026. Until then, the ad industry is bracing for a decision that could either shake up—or barely dent—the future of the open web.
For years, backlinks have been the gold standard for building authority, driving link juice, and climbing up the SERPs. But with the rise of Generative AI, the search landscape is shifting. Instead of chasing endless links, visibility now also depends on something more intelligent: AI citations. This evolution means your brand can show up in front of wider audiences, even without a massive backlink profile.
The question is, when it comes to AI citations versus backlinks, how do they differ, and does one outweigh the other? In this blog, we’ll break down both, explore their role in building authority, and uncover whether AI citations are the future of digital visibility or just another layer to your SEO strategy.
What are backlinks?
Backlinks are simply links from one website to another. Think of them as digital recommendations: when a reputable site links to your content, it signals to search engines that your page is trustworthy and valuable.
For example, below is a screenshot from a Zapier blog post that links to the Yoast SEO plugin landing page in the blog.
Zapier blog post has linked to the Yoast SEO plugin page
Backlinks aren’t new; they’ve been around for more than two decades. In fact, links were introduced back in 1998 as part of Google’s original PageRank algorithm, making them one of the oldest forms of online citations. Since then, they’ve remained a core ranking factor, shaping how websites compete for visibility.
The PageRank Citation Ranking research paper
Today, backlinks are still considered one of the strongest signals for building authority. Many brands invest in link-building strategies to secure high-quality backlinks, from being cited in well-written pieces to building relationships that earn natural mentions.
Why backlinks matter?
Backlinks are not just about search rankings, but they influence almost every aspect of your website’s visibility and growth. Here’s why they remain essential:
Improve rankings by acting as one of Google’s most important signals, especially when they come from authoritative domains
Drive referral traffic that is often highly targeted and more likely to engage with your content
Boost authority and credibility by showing search engines that trusted sites vouch for your content
Help with faster indexing by guiding search engine crawlers to discover and prioritize your pages
Provide semantic understanding by giving Google context through anchor text and linking page content
What types of backlinks work best?
Not all backlinks are equal, and the ones that matter most usually have these traits:
They come from trusted and authoritative websites
They include your target keyword or a variation of the target keywords in your anchor text
They are topically relevant to your niche
They are ‘dofollow’ links that pass link equity
Backlinks remain important for SEO, but as search evolves, they’re no longer the only way to build authority. This is where AI citations enter the picture.
AI citations are references, attributions, or direct links to your content, brand, or product that appear within AI-generated answers. Unlike traditional backlinks that live inside web content, AI citations are shown within AI search results or summaries. They often appear as clickable source cards, numbered footnotes, or links listed below an AI overview.
For example, when Google AI Overviews quotes websites in the AI search box, it cites the original sources that provided the information.
Some other examples of AI citations are:
ChatGPT cites your brand or content as part of its generated answer
Bing Copilot highlights your product as a recommended solution to a user’s query, even if it doesn’t include a direct link
Perplexity.ai lists your research as a supporting source beneath its summarized response
Why AI citations matter for visibility?
AI citations are becoming critical for brand exposure because they align with how people now consume information online:
Search is becoming prompt-driven, which means users type questions or prompts instead of keywords. If AI picks your content to cite, you’re instantly visible to that audience
Discovery is moving from clicks to context. Users may not always visit your website, but being cited ensures your brand becomes part of the answer itself
AI is becoming your audience’s first impression. In many cases, people see the AI summary before they see the actual search results. Appearing as a cited source makes your brand part of that first interaction
Citations boost credibility and authority. When an AI tool references your content, it signals to users that your site is trustworthy enough to be part of the response
Types of AI citations that influence brand visibility
Not all AI citations look the same. Here are the key forms that shape how your brand is discovered:
Name-drop mentions drive brand visibility
When AI directly mentions your brand or product in its response, such as in a recommendation or ‘best of list, you gain instant visibility in front of users without them needing to click further.
Source references build credibility signals
These citations work like the ‘works cited’ section in AI outputs. Tools like Gemini, Perplexity, or Google AI Overviews may display your URL in the list of sources at the bottom of the response. Even if you’re not in the main summary, you benefit from the authority signal.
Quoted passages establish expert authority
When AI pulls exact wording from your content and attributes it to you, it elevates your position as an expert. This type of citation places you in prime digital real estate, signalling leadership in your niche.
Synthesized mentions shape brand narrative
Sometimes AI blends your insights into its summary without naming or linking back to you. While harder to measure, your content still influences the narrative and reinforces brand authority in indirect ways.
AI citations are already reshaping how visibility works in search. Just as backlinks defined SEO two decades ago, citations in AI search are now shaping brand perception by influencing what users see, trust, and remember about your business.
How are AI citations and backlinks different?
So, now that we have an overview of AI citations and backlinks, let’s see how backlinks and LLM citations differ from each other -`
Aspect
Backlinks
AI/LLM Citations
What they are
Hyperlinks from one website to another, long used as a ranking factor in SEO
Mentions, attributions, or references included in AI-generated answers, sometimes with clickable links
Visibility
Usually embedded within web content and not always visible to the average reader
Front-facing and displayed in AI overviews, chatbots, or search snapshots, making them highly visible to users
Trust impact
Boosts site authority indirectly through improved rankings and referral signals
Builds direct credibility by being presented as a trusted source in AI answers or summaries
Selection factors
Determined by domain authority, anchor text, and contextual relevance
Google AI Overviews, citing your blog
Examples
A news site links to your product page in an article
Link building strategies, such as outreach, partnerships, and content marketing, to earn quality backlinks
SEO focus
Link building strategies, such as outreach, partnerships, and content marketing, to earn quality backlinks
Creating structured, high-quality, and easily digestible content that AI systems can cite
Effect
Improves rankings and drives referral traffic over time
Enhances brand visibility, authority, and recall directly in AI-powered search experiences
How to earn both?
Earning backlinks and AI citations doesn’t have to be two separate strategies. With the right approach, the same efforts that build traditional authority also make your content LLM crawler-friendly.
Here’s how to do it:
Create deep, original, and useful content
Go beyond rewriting what’s already ranking. Publish original research, case studies, interviews, or unique perspectives that others can’t find elsewhere. AI models pull from fresh, problem-solving content, and so do journalists and bloggers who link naturally.
Write for real questions, not just keywords
Search is shifting from keywords to prompts. Pay attention to what your audience is actually asking on forums, social media, and other platforms. Create conversational, direct answers to those questions. If your content aligns with user prompts, it’s far more likely to be both cited by AI and linked by humans.
Leverage structured data
Use schema markup (FAQ, HowTo, Article, Product) to help AI and search engines clearly understand your content. Proper attribution of authors and sources also increases your chance of being recognized as a credible reference. Structured, transparent content is ‘citation ready.’
Build relationships for natural backlinks
Backlinks remain relationship-driven. Connect with journalists, bloggers, and industry peers through guest posts, expert roundups, or collaborations. AI often mirrors human trust signals, so if authoritative voices link to you, AI is more likely to cite you too.
Focus on clarity and quotability
Make your content easy to lift and reuse. Use short, memorable statements, stats, or definitions that can be quoted word-for-word. Structured layouts like subheadings, lists, and bullet points make content easier to reference by both humans and AI.
Monitor, analyze, and adapt
Don’t just publish; instead, track performance. Use SEO tools for backlinks and platforms to monitor AI citations and understand AI brand perception. If competitors are cited for prompts you should own, study their structure and improve on it. Adjusting based on data helps you stay ahead.
The takeaway: With the right strategies, you don’t need separate plans for backlinks and AI citations. Clear, authoritative, and trustworthy content earns both and multiplies your visibility across search engines and AI-powered platforms.
Exploring Yoast’s AI features
Applying the right strategies for earning backlinks and AI citations is easier when you have the right tools. Yoast’s AI features combine SEO best practices with AI-powered enhancements to make your content clearer, more discoverable, and more effective.
Here’s how they can support your workflow:
Yoast AI Generate
Quickly create multiple, tailored titles and meta descriptions for your pages or blog posts. This ensures your content attracts clicks and stands out in search results. You can select from different options, tweak them to fit your brand voice, and preview how they’ll appear in SERPs.
Yoast AI Summarize
Turn long-form content into scannable, bullet-point takeaways in seconds. This may also help reduce bounce rates by giving readers immediate clarity on what your page delivers. It also makes your content easier for AI systems and Google’s AI Overviews to interpret correctly.
Yoast AI Optimize
Get AI-powered suggestions to improve SEO signals such as keyphrase distribution, sentence length, and readability. You can review, apply, or dismiss recommendations with one click, ensuring that optimization never comes at the cost of your unique editorial voice.
Together, these AI-powered features help you save time, improve clarity, and boost both human and AI-driven visibility, laying the foundation for stronger backlinks and more consistent AI citations.
Backlinks or citations: What truly matters for visibility?
Backlinks have been the backbone of SEO for more than two decades, helping websites climb rankings, build authority, and attract referral traffic. But the rise of AI citations is reshaping how visibility works. When AI systems like Google’s AI Overviews or ChatGPT cite your content, they place your brand directly in front of users at the moment of discovery.
The truth is, it’s not a choice between backlinks and AI citations. Both matter, but in different ways. Backlinks remain critical for SEO growth and authority, while AI citations are quickly becoming the new gatekeepers of brand perception and visibility. The winning strategy is to create content that earns both.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-09-19 13:52:122025-09-19 13:52:12Everything you need to know about AI citations vs backlinks
Your SEO and PPC teams probably don’t share data. That’s problematic.
Organic traffic is slipping. CPCs are climbing.
And conversions aren’t keeping pace.
It’s not just the LLMs — the SERP itself has changed. In 2025, every query is a blended battlefield of ads, AI overviews, videos, shopping units, map packs, and organic links.
Yet, most teams operate with SEO and PPC in silos.
That doesn’t work anymore.
Because to users, there’s no “organic vs. paid search.” They just click what’s useful. And “useful” now shows up in more places than ever.
If you don’t align your channels, you end up with duplication, cannibalization, and wasted spend.
This guide will show you eight ways to bring SEO and PPC together — from sharing keyword data to sharpening targeting. So you can cut costs, capture more clicks, and drive higher ROI.
Let’s start with an often-overlooked but powerful way to combine your PPC and SEO efforts: spotting intent mismatches.
1. Analyze the SERP to Fix Poor PPC Ad Performance
When your PPC ads fail to convert, the problem might not be your targeting or creative — it could be that you’re bidding on the wrong intent entirely.
If the SERP is dominated by videos, tutorials, or how to guides, it signals that users are still researching — not necessarily ready to buy your product.
Without analyzing the SERP, you risk wasting ad spend on queries that will never convert.
Let’s use Squarespace as an example.
If they’re bidding on “website design” and conversions are weak, a quick SERP check would explain it:
Google surfaces a local pack of agencies for this term, which signals service-seeking intent — not DIY website builders.
Knowing that, they could cut the term and redirect spend to higher-intent queries.
2. Stop Wasting PPC Budget on Customer Support Terms
One of the most common (and costly) PPC mistakes is bidding on customer support queries.
Searches like “[YourProduct] login problems” or “[YourProduct] forum” signal that someone is already a customer trying to troubleshoot — not a prospect considering a free trial or demo.
Yet, many companies spend thousands every month sending these clicks to sales pages that rarely convert.
For example, if Squarespace analyzed their rankings for a term like “Squarespace login,” they’d see they already rank #1.
And those visitors almost never convert for one vital reason — they’re already customers.
Luckily, there’s an easy fix: Squarespace can exclude this and other support terms from its PPC campaigns.
Here’s how to do this for your own ad campaigns:
Start by finding support-related queries for your brand using a keyword research tool.
Enter your brand’s name in the top search bar and your brand’s URL in the purple search bar to personalize the data to your domain.
Click “Search.”
Manually scan the list (or use the “Include keywords” filter) to find support-related terms like “login,” “pricing,” “free trial,” “templates,” “support,” and “forum.”
Then, view the number highlighted in blue to the right of each term — that’s your current ranking.
Already ranking #1–3 for your most commonly searched support terms?
Organic SEO is doing its job, which means you can remove these terms from your PPC campaigns.
In other words, the closer the page matches what a searcher actually wants, the less you pay for each click.
Conducting keyword research can help you understand where you need a separate landing page. To start, use a keyword research tool to group organic keywords into clusters.
Then, map each keyword cluster to a dedicated PPC landing page.
This way, your ads always point to content that matches the searcher’s intent, while your Quality Score (and budget efficiency) benefits from the added relevance.
Squarespace is a good example of this.
Instead of sending every “website builder” query to one broad page, they build dedicated landing pages around different intents.
For example, a search for “portfolio website” leads to a page showcasing portfolio-specific templates, not a generic product overview.
4. Unify PPC and SEO Data to Decide When to Bid on Your Brand
Brand bidding is one of the biggest friction points between SEO and PPC teams.
The debate isn’t whether to bid on your brand — it’s when. Without unified data, teams make this decision based on assumptions rather than evidence.
The truth is somewhere in the middle — and the right decision depends on context.
So, instead of separating PPC advertising and SEO data, combine them to make a more informed decision.
Start by checking whether competitors are bidding on your brand with a manual search for your branded keywords.
For instance, a search for “Squarespace website builder” shows that Wix is also bidding on the term.
Want to automate this process?
Use a tool like Semrush’s Keyword Gap that lets you assess your site and your competitors’ sites for the top shared keywords (paid and organic) they use.
If you see your competitors bidding on your branded keywords, it makes sense to run ads to defend those clicks.
But if your competitors aren’t bidding, it’s time to check your organic coverage.
Do you already own most of page one organically for your branded terms?
If the answer is no, ads help fill the gaps.
If yes, you can safely test pausing.
Turn off your ads for branded keywords and see what happens.
Pro tip: If cutting ads also cuts traffic by [40%, they’re adding value. If drops hit 80%+, you’re just paying for what you’d get anyway.
Finally, consider the messaging value of your ads.
Even if you’re getting organic coverage, brand ads give you space to promote new features, discounts, or free trials.
So it might still be worth paying for them.
For example, Squarespace uses its paid ads on the term “Squarespace website builder” to promote its new AI website builder tools.
5. Prioritize High-ROI SEO Keywords by Analyzing PPC Data
A common SEO challenge is figuring out which keywords actually matter.
Ranking for broad terms might bring traffic, but not necessarily signups or revenue.
Without conversion data, it’s hard to know where to focus.
This is where PPC comes in. Paid campaigns don’t just generate leads — they generate fast, reliable data.
You can see which headlines win clicks, which keywords drive conversions, and what each click is worth.
Take the phrase “website platform for small businesses.”
If PPC data shows it converts four times better than the broader “website platform,” that’s the angle worth prioritizing in your SEO titles, H1s, and content strategy.
PPC metrics can even help you prove the business value of SEO — something every stakeholder loves.
Once you know a keyword’s conversion rate and customer value from paid campaigns, you can model the value of ranking for it:
SEO ROI = (Organic clicks gained × PPC conversion rate × Customer value) − SEO cost
Say a keyword costs $30K/month in ads, but ranking organically would capture roughly a third of that traffic.
That’s about $9K in “free” conversions every single month.
That’s the kind of math that gets buy-in from leadership.
You can use this same logic to estimate the value of refreshing existing content. Sometimes a simple update is worth tens of thousands in equivalent ad spend.
The takeaway?
PPC data gives you the proof points and the playbook to double down on the SEO opportunities that will actually pay off.
Algorithm shakeups create openings you can exploit if you move fast.
If a competitor drops from page one, don’t wait.
Publish or refresh your content to take over those keywords. At the same time, increase your PPC bids on the same terms while auction pressure is temporarily lower.
That one-two punch lets you capture traffic your rivals just lost before they even know what hit them.
Many stakeholders still think of SEO and PPC as competing, not complementary.
While leadership may be nervous to try a new, silo-free approach to search engine marketing, you can convince them in a couple of ways.
First, show them how SERPs have evolved.
AI Overviews, rich features, and rising CPCs mean the old “paid vs. organic” split doesn’t exist anymore.
Then, use this powerful three-step storytelling framework to convince execs to act.
Step 1: Explain what’s happening by describing the external shift. Example: “AI Overviews and rising CPCs are changing how people find us in search.”
Step 2: Show how it’s impacting you by tying the shift to your company’s results. Example: “Our paid CPCs are up 22%, and organic traffic for branded queries is down.”
Step 3: Highlight what you can do about it by presenting alignment as the solution. Example: “By aligning SEO and PPC, we can cut wasted spend on brand terms and reinvest in high-converting queries.”
Start small. Don’t push for a full overhaul on day one.
Instead, prove ROI by aligning on a single initiative — like deciding when to bid (or not) on branded keywords.
Once you’ve shown early results, it’s easier to get everyone aligned on their responsibilities.
Next, work with SEO and PPC teams to establish next steps for each team member to achieve closer alignment.
Here’s a role-based plan for what your teams should start doing now:
SEO/PPC Team Role
Primary Responsibilities
Action Steps to Drive SEO + PPC Alignment
SEO Specialists
Mine PPC data for ROI
Request PPC data to see which paid keywords actually drive results
Use that data to identify low-CPC, high-ROI terms worth pursuing in organic search
Share blog content and resources that PPC teams can repurpose for retargeting campaigns
PPC Teams
Flag costs and align content
Flag high-CPC keywords that SEO should try to rank for long-term to reduce reliance on paid
Align PPC landing page messaging with existing SEO pages so users get a consistent story
Promote educational content to cold audiences instead of conversion-focused ads
CMOs & Leaders
Measure blended performance
Set shared KPIs (e.g., revenue per SERP, blended CAC)
Merge data sources so SEO and PPC teams both have access to the same performance insights
Break down silos by running regular joint syncs between paid and organic teams
Agencies & Consultants
Prove value with unified reporting
Deliver blended strategy reporting that shows paid and organic results in one view
Use unified insights to demonstrate ROI and strengthen client retention or upsell
Educate clients on how the SERPs are changing and how alignment helps them adapt
Boost Your ROI with a Shared SEO and PPC Strategy
It doesn’t make any sense not to have SEO and PPC work together.
Keep the teams siloed, and you’ll waste budget, lose traffic, and fall behind as search evolves.
For your first move, start with a shared SERP review.
Map where you’re strong, where you overlap, and where the gaps are for the quickest path to better ROI from both channels.
Want to dig deeper?
Explore our guide to the best PPC tools to uncover the advanced data and insights you need to align SEO and PPC, cut wasted spend, and boost ROI.
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When shoppers are online, knowing which store to buy from can be a tough decision. The new store widget powered by Google
brings valuable information directly to a merchant’s website, which can turn shopper hesitation
into sales. It addresses two fundamental challenges ecommerce retailers face: boosting visibility
and establishing legitimacy. The widget helps you attract customers and encourage them to make a
purchase. Businesses using the store widget on their websites saw up to 8% higher sales
within 90 days compared to similar businesses without it.
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There are links (traditional SEO) and there are answers (Google AI Overviews, Bing Copilot, Perplexity, ChatGPT, Claude, etc.). In these answer boxes the engine summarizes the web and then names or cites a handful of sources. If you aren’t one of them, you don’t exist for a growing chunk of demand.
Most are just guessing.
Right now, on keywords that trigger an AI Overview, we are seeing a 12-20% drop in click-through rates for the classic organic results.
For marketers, this has created a terrifying black box. How do you rank inside an AI-generated answer? How do you measure your visibility? How do you influence what the AI says about your brand?
For the past year, my team and I have been obsessed with answering these questions. We didn’t just want to guess; we wanted to build the playbook for this new era of search.
Today, I’m excited to announce the result of that obsession: The AI Search Optimization Platform, now live inside Ubersuggest. This isn’t just another feature. It’s a new way to see, measure, and influence your brand’s presence in the world of generative search.
A Look Inside the AI Search Optimization Dashboard
Define Your Competitive Landscape
The first step is to give the AI Search Visibility platform the right context. This isn’t just about your domain; it’s about defining the specific market and conversations.
Your Website and Brand In the first two fields, enter your website URL and your exact brand name. The website is the digital asset we’ll be analyzing, and the brand name is the specific entity the tool will look for in AI responses. Being precise here is key to ensuring accuracy.
Your Core Topic This is the most critical input. In the “Topic or Main Keyword” field, define the primary battleground for your business. The goal is to be specific enough to get the most relevant prompts. For example, instead of a broad term like ‘marketing,’ a SaaS company might enter ‘email marketing automation for small businesses.’ This focuses the analysis on the high-intent questions your target customers are asking. The more specific your niche, the more specific should be your input.
Your Target Market Finally, select the Language and Location you want to analyze. This ensures the insights you receive are tailored to the specific geographic market you’re competing in, as AI answers can vary significantly by region.
Initiate the Analysis Once you click ‘Search AI,’ Ubersuggest begins its work. Behind the scenes, it’s simulating thousands of real user prompts related to your topic across the major AI engines, gathering the raw data needed to build your visibility scorecard.
Calibrate the AI by Confirming Your Prompts
After you define your landscape, Ubersuggest translates your topic into a list of real-world questions your customers are asking AI. This next step is a critical quality check to ensure the analysis is focused on the conversations that matter most to your business.
A modal window will appear titled “Confirm Your Prompts.” Inside, you’ll see a list of “Prompt Suggestions.” These are not just keywords; they are the high-intent questions that define the competitive battleground for your topic, often reflecting different stages of the user journey.
Review for Relevance Your job here is to quickly scan this list. Ask yourself: “Do these questions reflect the problems my customers have and the solutions I provide? Are these the conversations I absolutely need to be winning?”
If the prompts feel too broad or misaligned, it’s a sign that your topic in Step 1 was not specific enough. Use the
Once you’re confident that the prompts are relevant, click “Continue.” This confirms the targets for the analysis, and Ubersuggest will now proceed to gather and process the data for your main dashboard.
You will also be able to edit each prompt individually, so if there’s a small adjustment, you can do it yourself and make it more accurate for your company.
Find the Edge in the Data
After confirming your prompts, you’ll land on the main Overview dashboard.
It looks like a lot of data, but your goal here is to answer three simple questions in 60 seconds: Where do I stand? Who am I up against? And what are we all talking about?
The first numbers to check are your Brand Visibility and Industry Rank.
A Brand Visibility of 67.5% tells you that you’re in the conversation, but an Industry Rank of 1.19 tells you that you’re leading it. This is your baseline for everything else.
Now, look at the Top Brands Visibility chart. This isn’t just a graph; it’s a picture of your competitive landscape. You’ll instantly see which rivals are competing for the same AI mindshare. Use the Competitor Visibility trend line at the bottom to track if you’re pulling ahead or falling behind over time.
Finally, glance at the Top Prompts table. This shows you the exact questions that are driving the results you’re seeing. This isn’t just a list of keywords; it’s the voice of your customer translated into AI queries.
In just a minute, you’ve gone from flying blind to having a complete strategic overview. You know where you stand and who you’re up against.
Dive into the Prompts
Now that you have your high-level scorecard, it’s time to get your hands dirty. This is where the real strategy begins.
Click on the ‘Prompts’ tab to go from the “what” to the “why.”
For every single prompt, you can see your specific rank, your visibility percentage, and the full list of competitors that AI is mentioning.
Your goal here is simple: find where you can win.
Find the Low-Hanging Fruit: First, look for prompts where your Visibility is at 0%, but a direct competitor is listed under the ‘Brands’ column. This is your most immediate opportunity. It’s a relevant conversation, and your competitor is the only one showing up.
Next, find the prompts where your ‘Your rank’ is high and your ‘Visibility’ is 100%. These are your current strongholds. Your goal is to analyze the content that is winning here and protect these positions.
Execute Your Strategy
You’ve moved from the “what” to the “why,” and you’ve identified a high-value prompt that a competitor owns. Now, it’s time to take it from them.
This isn’t about just creating more content; it’s about creating better, more authoritative content and making sure the AI knows it.
First, create content that is more comprehensive, data-backed, and original. AI rewards originality, and since most content online is recycled, this is your biggest opportunity to stand out.
A great piece of content isn’t enough; AI needs to see it endorsed by sources it already trusts.
How to Win in the New Era of Search: Your AI Overviews + AI Mode Strategy
This platform isn’t just for reporting; it’s for building a strategy. We give you the playbook to WIN the answer.
Here’s what this data allows you to do:
Move from Keywords to Concepts: Stop optimizing for “best running shoes.” Start creating comprehensive content that answers prompts like “What are the best running shoes for someone with flat feet training for a half-marathon?” The AI values depth and expertise.
Manage Your Online Reputation Proactively: The AI is reading everything—reviews, articles, forum posts. The
AI Sentiment score gives you a direct feedback loop on your brand’s reputation and shows you where you need to improve.
A Foundational moment for AI search
Right now, we are in a foundational moment for AI search. The brands that actively optimize for AI visibility today will build a powerful, lasting advantage.
The AI models are learning. The brand associations they form now will become deeply embedded. Getting positive mentions and citations today is like building a brand monopoly for the future that will be incredibly difficult for your competitors to break down later.
Don’t wait until this is common knowledge. The window of opportunity is now.
Search Everywhere Optimization
And we’re starting with ChatGPT, but this is just the beginning of a much bigger vision we call “Search Everywhere Optimization.”
Our goal is to give you a single dashboard to understand user intent wherever it happens—not just Google, but across YouTube, TikTok, Amazon, and the app stores.
We’re building a future where you can see the top brands being mentioned on Google right next to the top brands being mentioned on ChatGPT for the same topic. We’re even integrating an “Exploding Topics” feature, so you can spot new trends and prompts before they become competitive.
Conclusion
The shift to AI-driven search is the biggest disruption to our industry in a decade. But with disruption comes opportunity.
The AI Search Optimization platform in Ubersuggest is your tool to seize that opportunity. It’s your map for navigating this new terrain and your compass for making decisions based on data, not guesswork.
Log in to your Ubersuggest account and check out the new AI Search Optimization tab today. The brands that win will be the ones who can measure what matters. Try the AI Search Visibility feature and start your free trial now.
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