one-time engagement
You know, the old game of just showing up in the first 10 search results is completely over, especially for an e-commerce brand like yours that relies on high-volume product discovery and category authority. It's a brutal landscape out there now because customers aren't just searching Google; they’re using Amazon, asking ChatGPT, scrolling TikTok, and hitting Google’s AI Overviews. The goal isn't just to sell a product; it’s to make sure your brand is the definitive, trusted answer at every single one of those touchpoints. That's why we put together this Full-Spectrum Visibility Audit—it’s a deep, customized content and market intelligence blueprint designed specifically to boost your authority, secure top citations, and, most importantly, drive measurable revenue by capturing customers right before they convert.
To truly justify the investment of $27,500, we’re shifting from a quick, five-day check-up to a complete, foundational strategy build. We will dedicate the next four to six weeks to a deep dive into your entire digital ecosystem. This isn't just about five keywords; we're going to laser-focus on your Top 15 High-Value Product Categories and Keywords—the ones that represent the highest revenue opportunity—and we'll provide comprehensive competitive intelligence across four major strategic pillars. For example, in the Shopping Intelligence pillar, we're finding the Top 10 Product Comparison and Feature-Specific Questions people ask right before they hit 'Add to Cart.' On the AI/LLM Content Strategy side, we’re doing an advanced citation analysis, finding the Top 10 questions the AI models are answering, and running our proprietary Intent and Sentiment data to make sure your brand’s content is not only being cited but is being cited favorably (positive sentiment) to secure that high-trust recommendation from the AI.
The deliverable is much more than a simple PDF; it’s a detailed Technical and Content Architecture Blueprint that your development and marketing teams can execute immediately. A key component of this deep dive is a comprehensive Schema Optimization Audit specifically for your critical Product Detail Pages (PDPs) and Category Pages—this is crucial technical work to ensure AI and Google Shopping bots understand your inventory perfectly. Because we want you to succeed in executing this complex strategy, we've also boosted the support dramatically. The audit culminates in three dedicated 90-minute strategic working sessions to walk your teams through the findings and execution plan, plus a generous six months of dedicated Slack/email Q&A support to assist with implementation roadblocks, strategy clarification, and testing.
So, when you look at the investment of $27,500, you should see it as securing the high-level, senior strategy needed to re-architect your presence for the AI era. It reflects the 120+ hours of senior-level market research, proprietary data analysis, technical schema review, and the six months of dedicated strategic partnership we're offering. This audit is designed to be a high-ROI asset that, once implemented, should pay for itself by significantly increasing your conversion rate across those high-value categories, reducing your Customer Acquisition Cost (CAC) by capturing pre-vetted, highly-qualified traffic, and establishing your brand as the definitive authority in your e-commerce niche for years to come.
The investment provides the definitive intelligence to move beyond speculation, delivering a Strategic Roadmap that uncovers technical blockades and competitive gaps so you can immediately optimize for Ai-driven growth.
The diagnostic phase performs a deep Technical & Entity Diagnosis to uncover crucial $\text{Schema.org}$ errors, entity inconsistencies, or hidden $\text{robots.txt}$ blocks that are preventing Ai crawlers from accessing and correctly interpreting your brand's core factual information.
The audit delivers a critical Baseline Visibility Measurement, quantifying your current Share of Voice (CSOV) and Brand Sentiment Score across major LLMs to reveal exactly where competitors are stealing market share in the zero-click discovery layer.
Translate Anxiety into Action
The final deliverable is a Strategic Roadmap that converts vague visibility concerns into a highly specific Prioritized Fix-List and Content Optimization Roadmap, giving your team the exact, ranked steps needed to achieve optimal machine-readability and authority.
This diagnostic goes beyond simple mention tracking ("Are we mentioned?") to focus on the quality and strategic positioning of your Ai visibility. We achieve this by testing high-value, bottom-of-the-funnel prompts that directly indicate buying intent (such as searching for "[Your Category] vs. Competitor X" or "Best [Your Product Category] for [Specific Use Case]"). Crucially, we then measure your Competitive Share of Voice (CSOV)—the essential metric that reveals the exact percentage of relevant Ai conversation mentions your brand owns compared to your competitors.
Visibility in Ai search is fundamentally driven by citation quality, not just mere mention. This diagnostic dives into the critical question of where the Ai is pulling its information to construct its answers. Our focus is on auditing LLM responses to identify the domain authority of the sources cited (e.g., Wikipedia, Reddit, top-tier news, or your own site). The strategic element involves using this intelligence to actively seed high-authority, third-party platforms—like Wikipedia or industry-relevant subreddits—where LLMs frequently retrieve the real-time or contextual data needed to establish your brand as the trusted source.
LLMs rely on structured, unambiguous data to accurately extract facts and entity relationships, forming the essential technical layer of Answer Engine Optimization (AEO). Our diagnostic performs a deep technical audit to check for critical structural elements, including correct Schema.org markup, clear heading hierarchies (H1→H2→H3), and accessible page architecture required by Ai agents. The strategic element involves leveraging this audit to implement targeted FAQ Schema blocks based on real Ai-surfaced user questions, ensuring your content provides direct, quote-worthy answers that eliminate ambiguity for any LLM.
Since direct referral traffic originating from LLMs is frequently misclassified in standard analytics platforms (often appearing incorrectly as "Direct" or generic "Organic"), accurate measurement is a critical challenge for attributing ROI. Our diagnostic addresses this by focusing on implementing specific Regular Expression (regex) filters within Google Analytics 4 (GA4) to correctly isolate traffic sessions showing telltale referrer patterns like ∗gpt.∗ or ∗perplexity.∗. The key strategic element is then correlating any increases in your observed AI visibility (mentions/citations) with subsequent, traceable increases in branded search volume and direct traffic, as these two serve as the reliable, post-discovery signals of successful LLM engagement.
Ai queries are fundamentally different from traditional search queries, demanding a significant shift in content creation strategy. Our diagnostic addresses this by comparing your current content topics against the actual, high-intent questions users are asking within LLMs. The core strategic element is then restructuring your content to answer these questions directly in the very first sentence, while actively utilizing conversational language patterns. This critical move steers your content away from highly optimized, abstract, or overly clever headings, ensuring maximum comprehension and citation by Ai agents.
Bestseller
Why Choose Agency 34?
For over 20 years, you've relied on digital marketing agencies to navigate the complex world of SEO, PPC, and performance-driven sales. Now, the rules have changed, and the stakes are higher. While many agencies are scrambling to understand AI, Agency 34 is already the recognized authority leading the transition from traditional SEO to advanced AI Visibility. Our two decades of experience aren't just a historical footnote; they are the bedrock that makes us uniquely qualified to win for you in this new LLM-powered commerce landscape.
Our long-standing expertise in performance marketing and sales conversions means we understand that visibility is meaningless without revenue. We didn't just learn how to get clicks; we mastered turning those clicks into profit. This deep, results-oriented background informs every aspect of our LLM Visibility Diagnostic.
The era of traditional keyword search is over. Shoppers are now starting their product discovery on powerful AI tools like ChatGPT and Perplexity, which act as agents to research and recommend purchases. If your Shopify product data isn't perfectly structured for these LLMs, you're not just missing out on traffic—you're invisible. You are effectively excluded from the new digital shelf. Our LLM Visibility Diagnostic & Traffic Plan immediately addresses this risk. You receive a concrete Data Visibility Scorecard that diagnoses exactly why you are losing AI traffic, along with a prioritized plan to fix those gaps, guaranteeing your products and services are accurately represented and positioned to win in the agent-to-agent economy.
Stop wasting time and budget guessing what AI needs. The value of this one-time audit is the Blueprint for Better Sales it provides. We eliminate internal data silos and confusion, delivering a concrete, 3-Step Action Plan showing you precisely how to restructure your Shopify data for maximum LLM performance. This isn't just a technical report; it's a strategic asset that turns disorganized data into a competitive advantage. By capturing high-intent, pre-qualified traffic that AI agents recommend, you'll see a direct increase in conversion rates, allowing you to confidently lead in this new era of commerce.
Forget blue links; we now optimize to be the definitive answer cited by the Ai itself.
