HONEST ALTERNATIVE · SEO + AI VISIBILITY
Supermetrics connects 100+ marketing data sources (Google Ads, Meta, GA4, GSC, Ahrefs) to reporting destinations (Google Sheets, Looker Studio, BigQuery) on automated schedules — eliminating manual export workflows for marketing dashboards. DeepSEOAnalysis audits a specific page's technical SEO health: structured data validity, real CrUX field data, AI visibility, canonical correctness, and broken links. They solve entirely different problems.
At a glance
The useful answer is not “which tool is best?” It is which tool fits the job you need done this week.
| Criterion | Competitor | DeepSEOAnalysis |
|---|---|---|
| Core function | Supermetrics is a marketing data pipeline tool: it connects data from 100+ marketing and analytics sources (Google Ads, Meta Ads, Google Analytics 4, Google Search Console, LinkedIn Ads, HubSpot, Salesforce, and many more) to reporting and storage destinations (Google Sheets, Looker Studio, Microsoft Excel, BigQuery, Snowflake, data warehouses). Supermetrics does not analyse or audit websites — it moves marketing metrics from their native platforms to wherever teams want to work with them. Its core value is eliminating manual data export/import workflows for marketing reporting and centralising cross-channel data for dashboards and analysis. | A crawl-based technical SEO and AI visibility auditor. Submits a URL, crawls the page, and evaluates technical health: JSON-LD structured data at property level, CrUX field data (real Chrome user p75 LCP, CLS, INP), canonical tag correctness, robots.txt configuration, AI crawler access, llms.txt presence, FAQPage/HowTo schema server-rendering, content structure for AI citation, broken links, and sitemap health. No data pipelines, no cross-channel dashboards, no marketing data connectors. |
| Data source connectors | Supermetrics connects to 100+ data sources across paid search (Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Microsoft Advertising), organic search (Google Search Console, Google Analytics), social (Facebook, Instagram, Twitter/X, LinkedIn, Pinterest), email marketing (Mailchimp, Klaviyo), e-commerce (Shopify, WooCommerce), CRM (HubSpot, Salesforce), SEO tools (Ahrefs, SEMrush, Moz), and many more. This makes it the reporting and pipeline layer for marketing teams that use multiple platforms and need combined visibility in dashboards rather than switching between each native platform's reporting UI. | One data source: the URL you submit for audit. DeepSEOAnalysis crawls the page directly rather than connecting to external data platform APIs. The audit combines real-user CrUX field data (from Google's CrUX dataset, publicly available for URLs with sufficient traffic) with direct page analysis — checking the rendered HTML, response headers, and crawlability. No integrations with advertising platforms, social media, or CRM systems. |
| SEO data handling | Supermetrics connects to Google Search Console and SEO platforms (Ahrefs, SEMrush, Moz) as data sources and moves their data into reporting destinations. You can pull GSC query data, impressions, clicks, CTR, and position data into Google Sheets or Looker Studio for custom dashboards. Supermetrics doesn't add analysis on top of this data — it delivers the raw metrics from these platforms to your preferred reporting environment. It does not audit individual pages, check structured data, or surface technical SEO issues; it moves the data from platforms that do track some of those signals. | Technical SEO audit at the URL level — auditing what's on the page rather than reporting on historic metrics. The structured data audit checks whether JSON-LD is present, syntactically valid, and has all required properties. The CrUX check surfaces real-user field data for LCP, CLS, and INP for the specific URL. These are diagnostic findings, not metrics to be tracked over time in a dashboard. DeepSEOAnalysis Pro and Agency plans offer monitoring (periodic re-audits of saved sites) that tracks technical health over time, but this is not equivalent to Supermetrics' multi-source data pipeline. |
| Reporting destinations | Supermetrics' value is in its destination connectors: Google Sheets (refresh marketing data on a schedule directly in a spreadsheet), Looker Studio (pull data from multiple ad platforms into a combined dashboard), Microsoft Excel (via add-in), BigQuery and Snowflake (for data warehouse pipelines), Salesforce (push marketing data to CRM), and others. Marketing teams use this to build executive dashboards that combine Google Ads spend, GA4 organic conversions, and GSC organic traffic in one view — without manually exporting from each platform. The scheduling feature auto-refreshes data (daily, hourly, or on demand) keeping reports current without manual intervention. | No reporting destination connectors. Audit results are displayed in the DeepSEOAnalysis web interface. The Agency plan includes white-label report sharing and PDF export. There is no direct integration with Looker Studio, Google Sheets, BigQuery, or other reporting destinations. DeepSEOAnalysis audit results are accessed via the web application or the public API (available on paid plans) — not via a data pipeline into an existing BI stack. |
| AI visibility features | Supermetrics has no AI visibility or GEO (Generative Engine Optimisation) features. It does not audit AI crawler access, llms.txt presence, FAQPage schema rendering, content structure for AI citation, or any signal related to how AI search systems surface and cite content. Supermetrics is a reporting and data connector tool — it operates on marketing metrics, not on page-level technical signals relevant to AI search visibility. | Five-signal GEO/AI visibility score: AI crawler access in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended), llms.txt presence and structure, FAQPage/HowTo JSON-LD server-rendered in initial HTML, question-heading ratio (≥20% of H2/H3 headings as questions), and average content section ≤400 words per heading for AI extractability. The AI visibility score is part of every audit, complementing the traditional technical SEO findings. |
| Team and workflow use cases | Supermetrics is built for marketing teams and agencies that produce regular cross-channel reporting. Primary use cases: agency client reporting (automated weekly or monthly reports combining all client channel data in a Looker Studio dashboard); in-house marketing teams replacing manual data exports with automated pipelines; data teams building marketing analytics datasets in BigQuery or Snowflake. The value scales with the number of data sources a team uses and the reporting frequency — teams producing one monthly report manually may not see the ROI; teams producing weekly cross-channel dashboards for multiple clients or brands see significant time savings. | Used by SEO professionals, developers, and content teams to audit page technical health before and after publication. Primary use cases: pre-launch technical checklist for new pages; diagnosing ranking failures (checking for structured data errors, canonical issues, or Core Web Vitals failures on pages that should rank but don't); competitor page auditing without property access; agency technical SEO deliverables and client site health monitoring. Scales with the number of URLs needing technical audit rather than the number of data sources being connected. |
| Best fit | Supermetrics is best for marketing reporting teams who need to pull data from multiple advertising and analytics platforms into spreadsheets, dashboards, or data warehouses on a schedule. If you find yourself manually exporting from Google Ads, Meta Ads, and GSC separately to build a combined report, Supermetrics automates that. It's not a technical SEO tool. | Best for technical SEO auditing at the URL level: verifying structured data, catching canonical errors, confirming Core Web Vitals from real user data, and checking AI visibility signals. Can be used alongside Supermetrics in an agency workflow: Supermetrics for client performance dashboards, DeepSEOAnalysis for technical SEO audit deliverables. |
What each product is
Supermetrics is a marketing data pipeline tool for teams that need to combine data from multiple advertising and analytics platforms into a single reporting environment. Its value is in automated data refresh and destination connectors — not page auditing. Used by agencies and in-house marketing teams to replace manual data export workflows with scheduled, combined cross-channel dashboards.
DeepSEOAnalysis audits individual pages for technical SEO health and AI visibility — structured data validation, CrUX field data for real users, canonical configuration, robots.txt, and broken links. Can be used in agency workflows alongside Supermetrics: Supermetrics for client performance dashboards, DeepSEOAnalysis for technical SEO audit deliverables.
When to choose which
Pricing context
FAQ
Yes — Supermetrics has a Google Search Console connector that pulls GSC data (queries, pages, countries, devices, impressions, clicks, CTR, position) into Google Sheets, Looker Studio, BigQuery, and other destinations. This allows building custom GSC dashboards that go beyond GSC's native reporting limitations (16-month data retention, limited export row counts, no scheduled reporting). Common GSC + Supermetrics workflows: automated weekly organic performance reports in Looker Studio; historical organic keyword data in BigQuery beyond GSC's 16-month window (via regular scheduled exports before data expires); merged GSC + Google Ads data in a single sheet for channel comparison.
For small agencies producing multi-client reporting, the break-even is typically around 3–5 clients where manual data export becomes a significant recurring time cost. Supermetrics' pricing varies significantly by data sources needed and destination connectors — a basic Google Sheets + a few connectors plan is more affordable than enterprise warehouse pipelines. The value calculation: estimate monthly hours spent manually exporting and organising client reporting data × hourly team rate. If Supermetrics costs less than that time value and substantially automates the workflow, the ROI is clear. For agencies with one or two clients who need only Google Ads + GA4 reporting, the free tiers of native platform reporting (GA4 Looker Studio template, Google Ads reports) may be sufficient without Supermetrics.
Supermetrics is a data connector, not a technical SEO tool. It can pull data from SEO platforms (Ahrefs, SEMrush, Moz connectors are available) and from Google Search Console into reporting destinations, making it easier to build combined SEO dashboards. But Supermetrics itself doesn't audit technical SEO — it doesn't check structured data, page speed, canonical tags, broken links, or AI visibility. For technical SEO auditing, a dedicated tool is required. A combined workflow: use Supermetrics to pull GSC performance data + Ahrefs link data into a Looker Studio dashboard; use DeepSEOAnalysis to audit the technical SEO health of specific pages that appear to underperform in that dashboard.
Supermetrics is specifically designed for marketing data connectors and reporting destinations — optimised for Google Ads, Meta, GA4, GSC, and the ecosystem of marketing platforms. Fivetran and Airbyte are general-purpose ELT (Extract, Load, Transform) data pipeline tools with broader connector libraries covering databases, SaaS apps, payment systems, CRMs, and marketing platforms. For marketing data specifically: Supermetrics offers more pre-built marketing transformations and easier Looker Studio/Sheets connectivity; Fivetran/Airbyte offer broader connectors and better support for structured data warehouse workflows. Marketing teams using Google Sheets and Looker Studio for reporting typically prefer Supermetrics; data engineering teams building comprehensive analytics infrastructure in BigQuery or Snowflake often prefer Fivetran or Airbyte for their data quality controls and schema management.
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