Bundle Claude

Search & Traffic Performance Skills

Three Claude skills that read live GA4, Search Console, and SEO platform data from Databox and cover your full discovery picture — weekly traffic performance, SEO rankings and backlinks, and brand visibility across AI engines.

  • ~5 minutes setup
  • Runs on demand
  • Claude + Databox MCP
Search & Traffic Performance Skills bundle
Works with
Claude
Requires
Databox account + Databox MCP
Data source
AccuRanker, Ahrefs, Google Analytics 4, Google Search Console, Moz, SEMrush
Output
HTML report
Best for
Growth teams, agencies, founders
Setup time
~5 minutes

This bundle installs three independent skills. Each runs on its own trigger and produces its own report — use them together for a full picture, or start with the one that hurts most.

GA4 Website Traffic & Performance Report — Your weekly traffic brief from live GA4 data: sessions, channel breakdown, top pages, conversions, device split, and anomaly flags with likely causes. Seven sections, under 60 seconds. → More about skill here.

SEO Performance & Visibility Report — Reads GSC, GA4, and your connected SEO platform (Semrush, Ahrefs, Moz, or AccuRanker) and writes a ten-section SEO report: organic traffic, keyword rankings, backlinks, technical health, competitor signals, and CTR opportunities. → More about skill here.

AEO Report — Cross-references your Search Console footprint with AI referral traffic to map brand visibility across ChatGPT, Claude, Gemini, Perplexity, Copilot, and every other AI engine sending you traffic — plus topic gaps, competitor visibility, and one prioritized action. → More about skill here.

Run all three and the gaps close: the GA4 report shows a traffic shift, the SEO report tells you whether rankings caused it, and the AEO report shows whether that attention is moving to AI answers instead. One Databox connection, three reports, no blind spots.

Built on Databox

No AI hallucinations. Analysis built on a real context layer.

Ask a generic AI to analyse your business performance and it will give you a confident answer. It will also be working from assumptions.

Generic AI doesn't know how your business defines a qualified lead, what your MRR calculation includes, or how you attribute revenue. It fills those gaps with the most plausible interpretation it can find — which is different from the correct one.

The products here run on Databox's data layer — if you choose so. Your metric definitions, your reporting logic, and your live numbers are what the AI reads, pulled straight through Databox MCP instead of uploaded by hand. That's the difference between an output you can share with your team and one you have to verify before you trust it.

Who it's for

  • Heads of growth and operators
    You run the numbers on Monday. This replaces the 20 minutes of tab-switching with a brief that is ready before your standup.
  • Agency analysts
    Run it for each client. Get a consistent read on every account in the time it used to take to review one.
  • Founders doing their own analytics
    You know what your metrics are. This tells you what they mean and what to do about it.

What's in the package

Security scanned Reviewed by Databox
  • aeo-report.skill Install file for Claude
  • search-and-traffic-performance-skills-setup-guide.pdf MCP connection steps, configuration options, example run
  • seo-report.skill Install file for Claude
  • website-traffic-performance.skill Install file for Claude

How to use it

  • Download the skill package
    Click "Get it free" button above. The skill package downloads to your machine.
  • Install in Claude
    Open Claude Desktop → Settings → Skills → Install all skills from file, one by one.
  • Connect Databox
    The skills prompt you to connect your Databox account using the connector. This takes less than a minute, and you'll need a free Databox account.
  • Trigger on demand
    Type the trigger phrase for the skill you'd like to run in Claude — they are listed in the setup guide and the skill file. Each skill runs against your live Databox data and returns the output.

Example prompts you can ask Claude

What you need to run this

Claude

Free to download. Required to install and run skills.

Databox account

The skill connects to your data in Databox. The 14-day trial and all paid plans include all integrations you need to use this skill.

MCP connection

Connector inside your Claude. Takes less than a minute to set up. Full instructions in the setup guide included in the download.

Don't have Databox yet?

Free to start. Connect your first integration in minutes — no credit card required.

Connect any AI tool to your Databox data with Databox MCP.

Databox MCP is the bridge between your live metrics and any AI — Claude, ChatGPT, Cursor, or any client that speaks MCP. One auth, every workspace, no scraping.

Databox MCP hub connected to OpenAI, Claude, Cursor and n8n — one MCP integration links every AI tool to your live data

Example output

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Common questions

Do I install one skill or three?

Three — each is a standalone skill with its own trigger and report. The bundle page gives you all three downloads in one place. Install all of them or just the ones you need; they share the same Databox MCP connection.

What data sources do I need connected in Databox?

Google Analytics 4 and Google Search Console cover all three skills. An SEO platform (Semrush, Ahrefs, Moz, or AccuRanker) is optional and unlocks the full SEO report — rankings, backlinks, and competitor benchmarking.

How do the three reports fit together?

The GA4 report is your weekly operating brief. The SEO report is your monthly organic search review. The AEO report tracks the fastest-changing layer — how AI engines cite your brand. Run them on their own cadence; each is a self-contained report you can share as-is.

Do I need a Databox account to use this skill?

Yes, ideally — and here's why it matters. Point a generic AI at a raw data export and it has to guess what your numbers mean: which conversions count, how you define an engaged session, what a "normal" week looks like. It fills those gaps with the most plausible interpretation it can find, which is often not the correct one. The skill avoids that by reading your data live from Databox through MCP, where your metrics are already standardized — one consistent definition for sessions, engagement, and conversions across your setup. The AI reads what's actually true for your business instead of inferring it, so the report is one you can trust rather than verify. You can technically run it against data you've pasted in by hand, but you lose that context layer and the output is only as reliable as the export. If you don't have an account or data source connected yet, the skill walks you through the setup.

Do I need a paid Databox plan to run this skill?

The skill is free to download. Running it requires the Databox MCP connection, which isn't included on the forever free plan. Every new Databox account starts with a 14-day free trial that includes everything the skill needs — after that, any paid plan covers it, including the Analyst plan.

Does this use live data from my connected source?

Yes — every run reads your live data directly from Databox through the MCP connection. The report reflects your current data at the moment you run it, not a cached or uploaded snapshot.

Do I need to export data manually?

No — there are no CSV exports and no copy-paste. The skill pulls your data straight from Databox through MCP each time it runs, so the report is always built from your live source.

Can agencies run this for multiple clients?

Yes — run it against each client's data connected in Databox, one account at a time, and you get the same structured weekly brief for every client. It's built to give a consistent report you can take to each client review.

Can I customize the report?

Yes. Before it runs, the skill asks a few onboarding questions — what you want to measure, the time frame, and any context that matters for the analysis — so the report is shaped to your goals from the start. After a run, you can give it feedback to adjust focus, sections, or anomaly thresholds, and reinstall the updated version so your changes carry into future runs.