Frequently Asked Questions

The GSC Intelligence Framework is Ampiono's proprietary system of analytical models that extract actionable, revenue-focused intelligence from your Google Search Console data. Instead of relying on third-party keyword tools and industry averages, our framework uses your own search performance data to identify exactly where your ecommerce store is losing revenue in search. It currently includes two core models — the CTR Opportunity Model and the Intent-Segmented CTR Model — with additional models in development.

Most SEO agencies start with third-party tools like Ahrefs or SEMrush, pull generic keyword volumes, and apply industry-average CTR curves. We take the opposite approach. We start with your actual GSC data — your real impressions, clicks, positions, and CTR — and model it mathematically. Our Dynamic CTR benchmarks your site against itself, our intent segmentation classifies your keywords by commercial value, and our revenue mapping connects every opportunity to a dollar figure. The result is a strategy built on your numbers, not assumptions.

Google Search Console is the only source of truth for how your site actually performs in Google Search. Third-party tools estimate keyword volumes and positions using their own crawlers and clickstream data, which can be significantly off. GSC gives you:

• Actual impressions — the real number of times your pages appeared in search results
• Real click-through rates — how often people actually clicked on your listings
• True average position — weighted by impressions, not a snapshot
• Query-level data — the exact terms people are using to find you

No third-party tool can replicate this level of accuracy for your specific site. That's why our framework is built entirely on GSC data as the foundation.

It means every single SEO recommendation we make is backed by a number from your actual search data. We don't say "you should target this keyword" based on a hunch. Instead, we say: "This keyword has 12,400 monthly impressions on your site, you're at position 8.3 with a 2.1% CTR, the expected CTR at position 5 is 6.8%, and improving by 3 positions has a 35% probability — giving you a realistic gain of 87 additional clicks per month worth approximately $2,400 in revenue." That's data before decisions.

While the framework's core analytical models (CTR Opportunity and Intent-Segmented CTR) work with any website that has GSC data, our revenue mapping and prioritisation layers are specifically designed for ecommerce. Ecommerce stores have unique characteristics — product pages, category pages, transactional intent, conversion rates, average order values — that make the revenue connection possible. We specialise in ecommerce because that's where the framework delivers the most measurable ROI.

The framework currently includes two production-ready models:

• Model 1: CTR Opportunity Model — Identifies which keywords and pages have the highest realistic click potential if rankings improve. Uses probability-adjusted calculations with both Static and Dynamic CTR benchmarking.
• Model 2: Intent-Segmented CTR Model — Layers intent classification on top of Model 1. Separates Brand vs Non-Brand queries, classifies keywords by intent type (Transactional, Commercial, Informational, Navigational), and applies intent-specific CTR benchmarks for more accurate opportunity scoring.

Additional models (Models 3–7) covering cannibalization detection, content gap analysis, and competitive positioning are in active development.

Model 1 is the foundation of the framework. It analyses every keyword-page combination in your GSC data and calculates the realistic click gain you'd achieve if your rankings improved. It works in five pipeline steps: data extraction and cleaning, Impression Weighted Position (IWP) calculation, CTR benchmarking (both Static and Dynamic), probability-adjusted realistic gain calculation, and opportunity scoring. The key innovation is that it doesn't assume you'll jump to position 1 — it applies probability factors (60% for a 1–3 position gain, 35% for 4–6, 15% for 7+) to give you a realistic picture of achievable improvements.

Static CTR uses a fixed, one-size-fits-all CTR curve based on general position benchmarks (e.g., position 1 = ~32% CTR, position 2 = ~18%, position 3 = ~11%, etc.). It's useful as a starting point but doesn't account for your site's unique performance characteristics.

Dynamic CTR builds a CTR curve from your own data. It groups your keywords into position buckets (1–3, 4–6, 7–10, 11–20, 21–50, 51–100) and calculates your site's actual median CTR within each bucket. This means the benchmarks reflect how your audience interacts with your listings, accounting for your brand recognition, snippet quality, and SERP features. Dynamic CTR is significantly more accurate and is what we use in production analysis.

GSC reports an average position for each keyword, but this average can be misleading when a keyword has wildly different impressions across days. Impression Weighted Position (IWP) weights each day's position by the number of impressions it received. If you rank position 3 on a day with 1,000 impressions and position 15 on a day with 50 impressions, IWP correctly reflects that you're effectively at position 3 for most of your visibility. This gives a much more accurate baseline for calculating opportunity scores.

Not all position improvements are equally likely. Our framework applies probability factors to calculate realistic gain rather than theoretical maximum gain:

• 60% probability for a 1–3 position improvement (e.g., moving from position 8 to position 5)
• 35% probability for a 4–6 position improvement (e.g., moving from position 10 to position 5)
• 15% probability for a 7+ position improvement (e.g., moving from position 20 to position 5)

These factors ensure we don't overestimate the opportunity. A keyword at position 50 won't be scored the same as a keyword at position 8, even if both have the same impression volume. This is what separates our analysis from tools that just show you "potential traffic."

Model 2 layers search intent classification on top of Model 1's CTR analysis. It first separates queries into Brand vs Non-Brand, then classifies non-brand queries into intent types: Transactional (buy, order, purchase), Commercial (best, review, compare), Informational (how to, guide, what is), and Navigational. Each intent type has its own CTR benchmark curve because user behaviour differs drastically by intent. A transactional keyword at position 3 gets a much higher CTR than an informational keyword at position 3. This model also introduces a Priority Score that combines opportunity size with intent value, so you focus on keywords that will actually drive revenue.

Our intent classification uses keyword pattern matching to categorise every query:

• Transactional — Keywords with purchase signals: "buy," "order," "shop," "discount," "coupon," "deal," "price," "cheap," "affordable," "sale," "free shipping"
• Commercial — Keywords with evaluation signals: "best," "top," "review," "vs," "compare," "alternative," "worth it," "for [use case]"
• Informational — Keywords seeking knowledge: "how to," "what is," "guide," "tutorial," "tips," "ideas," "benefits," "can you"
• Navigational (Brand) — Keywords containing your brand name, used by people specifically looking for your store
• General Research — Keywords that don't match clear intent patterns, often mid-funnel product research terms

Each intent type receives a different CTR benchmark and priority weight, ensuring transactional keywords get properly prioritised over informational ones.

The CTR Gap Percentage (ctr_gap_pct) measures how far below the expected CTR your keyword is currently performing. It's calculated as: (Expected CTR − Actual CTR) / Expected CTR × 100. A keyword with a 70% CTR gap means it's only achieving 30% of the clicks it should be getting at its current position. This metric is critical because it identifies quick wins — keywords where you don't even need to improve rankings, just improve your SERP snippet (title tag, meta description) to capture more clicks from your existing position.

Opportunity Score (from Model 1) ranks keywords purely by their realistic click gain potential. It tells you "how many additional clicks could you get?" based on current position, impressions, and probability-adjusted improvement targets.

Priority Score (from Model 2) adds an intent layer. It multiplies the opportunity score by intent value weights — transactional keywords get weighted higher than informational ones. This ensures you don't just chase the highest-volume opportunities but focus on the ones that will drive the most revenue. A transactional keyword with moderate opportunity will score higher than an informational keyword with huge opportunity.

Position buckets group your keywords by ranking range to create meaningful CTR benchmarks. The standard buckets are: 1–3 (top of page 1), 4–6 (middle page 1), 7–10 (bottom page 1), 11–20 (page 2), 21–50 (pages 3–5), and 51–100 (deep results). Each bucket gets its own CTR benchmark calculated from your site's actual performance. This bucketing approach avoids the noise of comparing individual positions and gives statistically reliable benchmarks even for positions with less data.

Keyword cannibalization occurs when multiple pages on your site compete for the same keyword, causing Google to split impressions and clicks between them instead of consolidating authority into a single strong page. Our framework detects cannibalization by identifying keywords where more than one URL receives impressions, then analysing position flipping patterns (where URLs swap rankings over time). The fix involves selecting a "winner" page using a 5-factor scoring model (intent match, revenue, link authority, engagement, content depth), then consolidating through 301 redirects, canonical tags, and internal linking restructuring. One of our Home & Kitchen case studies found 42 cannibalized terms causing measurable revenue loss.

The GSC Revenue Audit is our foundational analysis that includes: full CTR Opportunity Model analysis, Intent-Segmented CTR analysis, Brand vs Non-Brand separation, Dynamic CTR benchmarking using your own data, your top 5 priority opportunities ranked by revenue impact, revenue projection using your GA4 or Shopify data, a detailed audit report with actionable insights, and a 30-minute walkthrough call where we present the findings. The audit is completely free with no commitment required. It gives both you and us the data-backed direction to build the right strategy.

The Full SEO Strategy builds on the audit and includes everything you need to execute: your top 50 priority opportunities ranked (not just 5), a complete on-page SEO strategy, off-page and link building plan, technical SEO audit and fixes, content strategy mapped to intent gaps discovered by Model 2, internal linking architecture plan, a prioritised 90-day execution roadmap, and a strategy presentation call. This is a one-time $499 investment that gives you a complete, actionable plan you can execute yourself or with your team.

The Ongoing Growth plan is a custom monthly retainer where we handle the execution. It includes everything in the Full SEO Strategy plus: monthly GSC intelligence re-runs (the data changes as you grow, so the opportunities shift), on-page implementation and content creation, link building execution, a revenue impact tracking dashboard, monthly strategy calls, continuous opportunity discovery, and a dedicated account manager. Pricing is custom because it depends on your store's size, number of SKUs, and growth goals. Contact us to discuss what fits your situation.

Yes, but only on the Ongoing Growth plan. The GSC Revenue Audit and Full SEO Strategy are analytical and strategic deliverables — they tell you what to do and why. The Ongoing Growth plan includes hands-on execution: content creation mapped to intent gaps, link building campaigns, on-page optimizations, technical fixes, and internal linking restructuring. If you have an in-house team, the strategy plan gives them everything they need. If you want us to do it, the retainer covers execution.

Absolutely — that's exactly how we designed it. Start with the free GSC Revenue Audit to see the data and understand the opportunity. If the numbers make sense, upgrade to the Full SEO Strategy for a complete execution plan. And if you want us to handle everything, move to Ongoing Growth. There's no lock-in at any stage. We want the data to convince you, not a sales pitch.

We work with ecommerce stores across all product categories. Our framework is data-driven, so it adapts to any niche where GSC data exists. We've worked with stores in fashion & apparel, pet products, sports & fitness, health & wellness, and home & kitchen. Each niche has its own unique patterns — fashion tends to have CTR gap issues, pet products often show intent mismatch, home & kitchen frequently suffers from keyword cannibalization — and our framework identifies these patterns automatically.

Yes, genuinely free. No credit card, no contract, no hidden fees. We run the complete CTR Opportunity Model and Intent-Segmented CTR analysis on your data, prepare a detailed report, and walk you through the findings on a 30-minute call. We do this because the audit is the best way to show you the value of our approach. If the data shows meaningful opportunity, you'll want to continue. If it doesn't, we'll tell you honestly.

Because our framework does the heavy analytical lifting programmatically. What takes traditional agencies weeks of manual keyword research, competitor analysis, and spreadsheet work, our models process in a fraction of the time with far greater accuracy. The $499 covers the human expertise layered on top — interpreting the data, building the execution roadmap, and creating a strategy presentation tailored to your specific store and goals. It's a one-time investment, not a recurring fee.

Ongoing Growth pricing is custom because every store is different. Factors that influence pricing include: the number of product/category pages, the complexity of your site architecture, the amount of content creation required, link building scope, and your growth targets. We'll discuss all of this during the strategy phase and give you a transparent quote. There are no long-term lock-in contracts — we work on monthly terms because we believe the results should keep you, not the contract.

No. The audit is a one-time free engagement. The strategy is a one-time $499 purchase. The Ongoing Growth retainer operates on monthly terms with no lock-in period. We believe in earning your continued business through results, not through contractual obligations. You can pause or stop at any time.

The strategy identifies revenue opportunities that typically range from $5,000 to $25,000+ in monthly recoverable revenue, depending on your store's size and current search performance. Even if you only capture a fraction of the identified opportunity through quick wins (meta tag improvements, CTR optimization, intent alignment), the $499 investment usually pays for itself within the first month. Our case studies show projected revenue impacts ranging from $12,800/month to $22,000/month across different ecommerce niches.

To run the audit, we need:

• Google Search Console access — read-only is perfectly fine
• Google Analytics 4 access — for conversion and revenue data
• Ecommerce platform data — ideally from Shopify, WooCommerce, or your platform, for revenue figures (average order value, conversion rates)

We handle all the analysis. You just grant us access and we take it from there. The setup typically takes less than 10 minutes.

From the moment we receive GSC access, the audit typically takes 3–5 business days. The data processing and model runs happen quickly, but we invest significant time in interpreting the results, identifying patterns specific to your niche, and preparing a clear, actionable report. We then schedule the 30-minute walkthrough call at your convenience.

Results come in phases:

• Quick wins (4–6 weeks) — Meta tag improvements, title tag optimization, and CTR fixes can show measurable impact quickly because they don't require ranking changes, just better click-through from existing positions.
• On-page improvements (2–3 months) — Content optimization, internal linking changes, and intent alignment start showing ranking and traffic improvements.
• Full strategy impact (3–6 months) — Broader SEO work including content creation, link building, and technical fixes compound into significant revenue gains.

Because we prioritise by revenue impact, you see the highest-value improvements first. This is not a "wait 12 months and hope" approach.

The 90-day roadmap is part of the Full SEO Strategy and breaks down into three phases:

• Month 1 (Quick Wins) — Meta tag rewrites for high-CTR-gap keywords, title tag optimization, schema markup implementation, and fixing any critical technical SEO issues.
• Month 2 (Foundation Building) — Content optimization for top commercial-intent keywords, internal linking restructuring, category page improvements, and cannibalization resolution.
• Month 3 (Growth Acceleration) — New content targeting identified gaps, link building campaigns, advanced technical optimization, and monitoring/iteration based on initial results.

Every task in the roadmap is tied to a specific keyword, page, and projected revenue impact from the framework analysis.

Yes. Our framework works with any ecommerce store that has Google Search Console data, regardless of location. GSC data is universal — the models apply to any market, any language, and any currency. We've designed our process to be fully remote, with all communication and deliverables handled through calls, email, and shared dashboards.

We work with all major ecommerce platforms: Shopify, WooCommerce, Magento, BigCommerce, Wix ecommerce, Squarespace, and custom-built stores. The framework is platform-agnostic because it's built on GSC data, which is the same regardless of your platform. The platform matters for execution details (e.g., how you implement schema markup or manage redirects), and we tailor our recommendations accordingly.

GSC data represents aggregated historical performance, while live search results are a snapshot of the current moment. Several factors cause discrepancies: personalisation (Google customises results based on user history and location), A/B testing by Google (they frequently test different rankings), data sampling (GSC aggregates across all users, devices, and locations), time lag (GSC data has a 2–3 day delay), and index freshness (live results reflect the latest crawl, GSC reflects the reporting period). These differences are normal and don't reduce the value of GSC data for strategic analysis. We wrote a detailed blog post on this topic.

We recommend a minimum of 3 months of GSC data for reliable analysis, and ideally 6–12 months for the most robust results. More data means more reliable Dynamic CTR benchmarks, better intent classification accuracy, and more confident opportunity scoring. The GSC API provides up to 16 months of historical data, which we extract at the most granular level available. If your site is new and has less than 3 months of data, we can still run the analysis but will note where confidence levels are lower.

We use the GSC API (Search Analytics API), not the web interface. The API gives us access to much more granular data — we can pull query-level, page-level, device-level, and country-level data at daily granularity. The web interface limits you to 1,000 rows and provides aggregated views. Our pipeline extracts the full dataset, processes it through our models, and produces analysis that's simply not possible through the GSC web interface alone.

Absolutely. We request read-only access to your Google Search Console — we can view data but cannot make any changes to your site or search settings. Your data is processed securely, never shared with third parties, and used exclusively for your analysis. We can sign an NDA before starting if required. You can revoke our access at any time through your Google account settings.

Schema markup (structured data) is code you add to your pages to help Google understand your content better. For ecommerce, this includes Product schema (price, availability, reviews), Breadcrumb schema (site navigation), FAQ schema, and Organisation schema. Proper schema can earn you rich snippets in search results — star ratings, price ranges, stock status — which significantly improve CTR. The Full SEO Strategy includes schema recommendations, and the Ongoing Growth plan includes implementation.

Our technical SEO audit (included in the Full SEO Strategy) covers: site speed and Core Web Vitals, mobile-friendliness, crawlability and indexation issues, broken links and redirect chains, canonical tag implementation, XML sitemap structure, robots.txt configuration, duplicate content issues, internal linking structure, and structured data validation. Technical issues can directly suppress your rankings and CTR, so fixing them is often one of the highest-impact quick wins we identify.

Our case studies demonstrate significant revenue opportunity discovery across different ecommerce niches. Results include projected monthly revenue gains of $12,800 to $22,000+ per month within 6 months of implementation. Each niche reveals different opportunity patterns: fashion stores typically recover revenue through CTR gap optimization, health & wellness stores benefit from intent bridging (converting informational traffic into commercial), home & kitchen stores often recover revenue by resolving keyword cannibalization, and pet product stores gain by fixing intent mismatches. See our full case studies for detailed breakdowns.

A quick win is a keyword-page combination where you can gain significant clicks without needing to improve your ranking position. These are identified by a high CTR Gap Percentage — meaning your page is ranking well but getting fewer clicks than expected. The fix is usually a better title tag, an improved meta description, or adding schema markup for rich snippets. Quick wins typically show measurable results within 4–6 weeks because they only require on-page changes, not the longer timeline of building authority or creating new content.

We connect every opportunity to revenue using this formula: Projected Monthly Revenue = Realistic Click Gain × Conversion Rate × Average Order Value. The realistic click gain comes from our probability-adjusted models. The conversion rate and AOV come from your GA4 or ecommerce platform data. This means every keyword opportunity in your report has a dollar figure attached. During the Ongoing Growth phase, we track actual revenue changes against these projections using a dedicated dashboard that compares pre-implementation baselines to post-implementation performance.

Then we tell you exactly that. The audit is free, and we have no incentive to inflate the numbers. If your site is already performing well against its Dynamic CTR benchmarks, if there's minimal intent misalignment, and if the realistic revenue gain is marginal, we'll tell you honestly. We'd rather build trust by giving you a truthful assessment than sell you a strategy that won't deliver meaningful ROI. This transparency is one of our core values — you see the same data we see.

No, and anyone who guarantees specific rankings is misleading you. Google's algorithm considers hundreds of factors, and no one outside Google can guarantee a specific position. What we can do is identify the opportunities with the highest probability of improvement based on your current data, apply proven optimisation strategies to each one, and project realistic outcomes using our probability-adjusted models. Our ranking probability factors (60%/35%/15%) are deliberately conservative to ensure we set expectations that can be exceeded, not missed.

Most SEO case studies show before-and-after traffic graphs and vague percentage improvements. Ours show the complete analytical methodology — the exact models used, the data pipeline, the opportunity scores, and the revenue calculations. Each case study focuses on a unique analytical angle specific to that niche: CTR gap analysis for fashion, intent mismatch for pet products, brand vs non-brand for sports & fitness, informational-to-commercial bridging for health & wellness, and keyword cannibalization for home & kitchen. They're designed to teach the methodology, not just show off results.