Tag: Organic Strategy

  • Unlocking Search Success: Unifying Strategies for 2026 Growth

    Unlocking Search Success: Unifying Strategies for 2026 Growth

    You know what I’m starting to realize? Our customers see the entire search engine results page (SERP). So, if they do, shouldn’t we?

    Back in February 2024, Gartner predicted a 25% decrease in traditional search volume by 2026. But guess what? That didn’t happen. Google’s search revenue soared by 17% year-over-year, hitting over $63 billion in just the last quarter of 2025. While query volume is surging, clicks per search are on the decline. It’s like the pie got bigger, but the slices are being divvied up differently, and many of us are still optimizing for that old pie.

    I have a question for you: Are we stuck rifling through endless spreadsheets of organic keyword rankings like it’s still 2003? Our customers don’t care about where they get their answers; they just want them to be trustworthy. And they’re finding those answers across a wide array of platforms that our standard rank trackers might not even be aware of.

    If our organic, paid, and AI search strategies are operating in separate silos, we might be optimizing for a search experience that’s obsolete.

    What Search Really Looks Like Today

    Go ahead and Google “best tax software” right now. I’ll wait.

    Notice the variety on just one results page: top sponsored ads, an AI Overview citation, a Reddit thread (because people trust real people more than brands), organic listings from CNET and H&R Block, a video carousel, discussion forum links, a product carousel with prices, more sponsored results at the bottom, and a “People also search for” section directing the next inquiry.

    This is one search with one keyword, and nobody truly owns it.

    Reflect on how different folks use that page. I’ll scroll right to the Reddit thread, seeking genuine human recommendations. My dad clicks the first sponsored ad, trusting Google to display the best option up top. Someone else might read the AI Overview and feel content enough with the answer to avoid further clicking. A fourth person might watch that Smart Family Money video and depart satisfied.

    Same query, four distinct paths, four different “winners.” As a brand, if we’re celebrating being third in organic ranking on this page, we should realize that most of the attention and user engagement may be happening beyond those blue links.

    That’s why I emphasize understanding the total SERP experience. If our customers are seeing the whole picture, shouldn’t we?

    The AI Layer Changes the Equation

    AI Overviews now appear on around 25% to 48% of Google queries, according to various studies. ChatGPT processes 2.5 billion prompts daily. Perplexity’s up by 239% year over year—hard figures from platforms shaping consumer opinions about our brands. Yikes, right?

    But let’s not start panicking. AI might be shifting the terrain, but it only represents less than 1% of U.S. web traffic. Google, on the other hand, drives referrals 300 times more than all AI platforms combined.

    The significant transformation lies in consumer behavior. According to Wynter’s 2026 research, 68% of B2B buyers initiate their research within AI tools before heading to Google. They use ChatGPT to narrow down options, then verify them on Google. AI evaluates, Google validates, and it’s on us to convert. If we aren’t in that initial AI conversation, we’re missing the chance to be a go-to choice.

    Why the Click Data is Intriguing, Not Alarming

    A Search Engine Land study of 25 million organic impressions revealed that organic CTR drops by 61% when an AI Overview is present, with paid CTR plummeting by 68%.

    It’s tempting to go into panic mode but don’t hit the alarm just yet.

    Here’s an interesting finding: brands cited in AI Overviews experience a 35% increase in organic clicks and a 91% rise in paid clicks. The AI Overview acts as a trust signal, boosting user engagement below the overview itself.

    Interestingly, ranking high in organic doesn’t automatically put you in the AI’s radar. Research by Tom Capper at Moz shows that 88% of AI Mode citations don’t appear in the organic SERPs for the same query. Organic and AI sources differ. You could be the top Google result but completely invisible in a ChatGPT response to the same query.

    But here’s a glimmer of hope—traffic from AI tends to convert at quadruple the rate of organic traffic. Its audience arrives informed and ready to make decisions after preliminary evaluation in the AI space.

    The Organizational Chart is the Roadblock

    Most organizations have SEO reporting to content, PPC to demand gen, and AI search to no one, effectively stranding strategic coherence. BrightEdge found 54% of organizations delegate AI search solely to SEO teams, akin to entrusting your plumber with your electrical work because it’s all in the same house.

    The losses here are tangible. One Performance Max campaign paid a staggering $500,000 for clicks that were coming naturally through organic referrals. Google’s studies confirm that when you’re organically ranked first, half of your paid clicks might as well have been free.

    Moreover, McKinsey’s findings show a brand’s own website contributes only 5% to 10% of sources AI refers to. AI aggregates from Reddit, review sites, affiliates, and more. A top-tier SEO program might still leave you out in the cold when it comes to AI, as it’s influenced more by collective sentiment than official content.

    A unified strategy works wonders. At Level, we cut acquisition costs by 18% and increased SEO leads by 22% by merging paid and organic efforts for a B2B SaaS client. Our Level Intelligence Suite connects performance signals across search surfaces, proving that compartmentalizing these efforts is a missed opportunity for synergy.

    Three Audits You Can Kickstart on Monday

    If you’re looking for a fast start, here are three audits using your top 20 keywords to pinpoint gaps and opportunities.

    Lens 1: Check Where You’re Really Visible. Analyze your organic rankings, paid ad presence, and AI search visibility across platforms like ChatGPT, Perplexity, and Gemini. Use Semrush’s free AI visibility checker to see where you really stand.

    Lens 2: Identify Unnecessary Ad Spend. Correlate your top organic rankings with active PPC bids. Begin with branded keywords, where over-expenditure from paying for organic reach is typically largest.

    Lens 3: Discover AI Overlooking. Compare your organic presence with AI citations. Only 11% of domains are noted by ChatGPT and Perplexity, so strength in one area doesn’t ensure visibility in the other. Ensure your robots.txt isn’t blocking AI crawlers, or you’ll be invisible in those discussions.

    This revealing diagnostic paves the way for action. I’m laying out a detailed unification framework at SMX Advanced, and I’d love to see you there.

    The Window Won’t Stay Open Forever

    Generative Engine Optimization (GEO) keyword difficulty currently floats between 15 and 20, far lower than traditional SEO terms, which can span 45 to 60. This disparity will soon narrow, as favored sources selected by LLMs end up being perpetually referenced.

    Some companies are watching their search traffic nosedive, yet they are surging in actual business growth. These firms stopped isolating channels and started analyzing their customers’ comprehensive search journey.

    We’re introducing our unified search strategy at SMX Advanced in our session titled “Organic, Paid, and AI Search: One Strategy to Rule Them All.” If you’re eager to blend your strategies into one cohesive plan, join our session or visit us at Booth #9.

    Remember, the search experience we had in 2023 has evolved, and our strategies should too.


    Inspired by this post on Search Engine Land.


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  • Boost AI Search Success With an Organic Product Feed Strategy

    Boost AI Search Success With an Organic Product Feed Strategy

    Most product feeds are traditionally geared towards paid media. But I’ve discovered aligning them with organic search behaviors significantly enhances visibility across Shopping and AI platforms.

    When I ask most e-commerce brands who manages their product feed, the response is usually the same: the paid media team is in charge.

    Often, a feed management tool is categorized under PPC. It might even be a relic created by the shopping team years ago, with titles that haven’t been updated since. SEO, unfortunately, rarely has its say in these strategies.

    Whether you’re focused on AI-powered search or traditional clicks, excluding SEO from your product feed strategy means missing out on substantial opportunities.

    AI Shopping Results Are Connected to Google Shopping Data

    According to a recent Peec AI study, up to 83% of ChatGPT carousel products reflect Google’s organic Shopping results—and 60% of those are from Shopping positions 1-10.

    carousel-products
    Data shows how ChatGPT’s product carousel matches Google Shopping’s organic results, with Google dominating over Bing.

    On Google’s side, their Shopping Graph includes over 50 billion product listings, directly feeding AI Overviews, AI Mode, and Gemini. AI Overviews now appear in about 14% of shopping inquiries, a leap from roughly 2% in late 2024. As I’ve seen, AI search results are still largely based on the traditional search engine result page (SERP).

    SEO is vital for establishing brand authority. It opens up valuable opportunities to collaborate across channels for improved search visibility. It’s time for SEOs, commerce, and paid media teams to come together.

    The Case for a Dedicated Organic Feed

    ```json
{
  "alt": "Bar chart comparing ChatGPT carousel product matches in Google Shopping top 40 between Bing and Google across various match strengths.",
  "caption": "Exploring the match strength of ChatGPT's carousel products in Google Shopping's top 40, this chart highlights differences between Google and Bing.",
  "description": "This bar chart displays the match strength of ChatGPT's carousel products, comparing their presence in Google Shopping's top 40 results between Google and Bing. Categories range from 'Exact match' to 'Very weak,' with varying percentages, such as 45.80% for exact matches in Google and 62.56% for very weak matches in Bing. A total of 43,000 products were analyzed. Keywords: ChatGPT, Google Shopping, Bing, product match."
}
```

    Most brands run a single product feed aimed at Google paid shopping campaigns. The focus is often on optimizing titles for bid relevance and descriptions for Quality Score rather than for user search behaviors.

    As user search habits evolve, aligning product data with search queries becomes increasingly important. A title with too many paid-friendly modifiers doesn’t necessarily match natural search queries.

    When we tested this with a major ecommerce brand, our agency’s AI SEO team worked with the commerce team to create a dedicated product feed just for organic listings. Optimizing specifically for organic visibility made a world of difference.

    After implementation, we saw the following results:

    • Organic listing CTR increased by 10% month over month and purchasing rates rose by 4%.
    • A product-level test revealed a 92% increase in revenue for free listings, with an 83% increase in visibility and a 14% rise in add-to-cart rates.
    • Organic optimizations alone generated 35,000 impressions with a 1.4% CTR—55% higher than paid CTR for the same period.

    We recognized that our paid and organic strategies serve different needs, so they should be optimized independently. Organic feed titles should reflect how customers naturally search.

    What to Prioritize in an Organic Feed Strategy

    Not all feed attributes are equally important. Whether you’re setting up a dedicated organic feed or auditing an existing one, these elements are essential starting points.

    Focus on Titles as the Key Lever

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    Google’s algorithm favors feed titles highly in matching products to queries. As Google documentation suggests, including significant attributes can lift performance. Consider what customers might conversationally say when searching for your product.

    Google's Merchant Center documentation on feed strategy
    Google’s Merchant Center documentation emphasizes aligning your feed strategy with how customers shop, enhancing their search journey.

    Don’t Neglect Global Trade Item Numbers (GTINs)

    According to Google’s GTIN documentation, products with accurate GTINs gain significant visibility. Data shows well-matched products can attract up to 40% more clicks and are key in aggregating reviews.

    Images Add Value

    Images are often flagged in Merchant Center disapprovals. Products with both standard and lifestyle images engage more users. Google’s Product Studio can assist in editing, helping SEO and creative teams work together on feed assets.

    Optimize Key Attributes: product_highlight and product_detail

    • product_highlight allows you to add concise benefit statements in Shopping views. Descriptions like “water-resistant for light rain commutes” are more beneficial than vague terms like “high-quality material.”
    • product_detail gives structured specs that influence Google’s filters in product grids.

    The semantic optimization SEOs apply to product pages should guide feed attributes. Product and content teams’ insights are vital not just for PDPs but also for feeds.

    ```json
{
  "alt": "Guidelines for strategic customer engagement and optimization for better shopping experiences.",
  "caption": "Master the art of customer engagement by strategically optimizing the shopping journey, prioritizing valuable products, and leveraging rich content for informed purchasing decisions.",
  "description": "This image provides a detailed guide on strategic customer engagement, emphasizing the importance of mapping the customer journey from search to checkout for improved shopping experiences. It highlights prioritizing high-value products, conducting optimization experiments, and enhancing product listings with promotions and reviews. Keywords include customer engagement, shopping experience, product optimization, and strategic planning."
}
```

    Your Feed is Your Agentic Commerce Foundation

    Investing in feed optimization for organic visibility will prepare your brand for the agentic commerce landscape.

    Google’s Universal Commerce Protocol is essential for AI agents to complete transactions directly in AI Mode and Gemini. Feeds entering the Shopping Graph fuel AI responses to shopping requests.

    Google added the native_commerce attribute for UCP-powered buy buttons across Google services. Several new conversational commerce attributes will soon be available, which means feed and on-page content must be in sync.

    Product feed strategy is ideal for cross-team collaboration to test, execute, and measure brand visibility. A harmonized approach across all surfaces benefits both traditional and AI-driven search outcomes.

    • SEOs contribute keyword intelligence and semantic insights about AI system matching.
    • Commerce teams manage product data and retail relationships.
    • Paid teams have the infrastructure and expertise in feed health management.

    These teams should collaborate to create a unified AI SEO strategy. Reviewing existing feeds and gathering all relevant stakeholders is essential to developing a comprehensive and effective product feed strategy.


    Inspired by this post on Search Engine Land.


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