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Marketing intelligence across a complex DTC stack

DTC WellnessMarketing IntelligenceSearch & AI Visibility

ENERGYbits

Built a complete marketing intelligence platform analyzing 15+ connected ad and content platforms, with blog generation pipelines and SEO, AEO, and GEO scoring before publish.

ENERGYbits case study cover
Platforms connected
15+
Search clicks in 90 days
51.6K
Search impressions
422K
Average search position
5.8

The challenge

15+ platforms. One publishing brain.

With performance and content data spread across more than fifteen platforms, the team needed a practical way to turn fragmented signals into publish-ready decisions.

  • Too many data sources

    Marketing context was distributed across ad, analytics, and content platforms.

  • Manual content workflow

    Research, drafting, and quality checks required repeated effort.

  • New search landscape

    Content needed to perform in traditional search and AI-generated answers.

The solution

A connected system designed around the way the team actually works.

We built a connected marketing intelligence platform with automated blog pipelines and SEO, AEO, and GEO scoring before content goes live.

  1. 01

    Connected intelligence

    Signals from 15+ platforms feed a shared decision layer.

  2. 02

    Automated blog pipeline

    Research and structured drafting move through a consistent production flow.

  3. 03

    Pre-publish scoring

    Every draft is evaluated for search, answer-engine, and generative-engine readiness.

Key capabilities

What the system does.

Data connection

  • 15+ platform integrations
  • Normalised marketing signals
  • Unified analysis

Content automation

  • Research pipeline
  • Structured drafting
  • Editorial workflow

Discoverability

  • SEO scoring
  • AEO scoring
  • GEO scoring

Search & AI visibility

The numbers behind the discoverability layer.

Live reporting pulls traditional search (SEO) and AI answer-engine (AEO) performance into one view. The SEO figures cover Jul 29 – Oct 26, 2026; the AEO analysis was run on Oct 25, 2026 across GPT, Gemini, Claude, Perplexity, DeepSeek and Google AI Overviews.

  1. 01

    51,599

    Clicks from search across 422,499 impressions between Jul 29 and Oct 26, 2026.

  2. 02

    12.2%

    Average CTR at an average ranking position of 5.8.

  3. 03

    340 of 500

    Tracked keywords on page one: 100 in positions 1–3 and 240 in positions 4–10.

  4. 04

    18.8%

    Share of AI answers that mention ENERGYbits, across 48 responses from 6 AI engines.

  5. 05

    487 citations

    Citations spanning 234 unique domains, with the brand present in 5 of 8 tracked questions.

  6. 06

    83.3%

    Brand mention rate on the gut-health and natural-detox question, the strongest of the 8 tracked.

Results & impact

From fragmented work to a repeatable operation.

  • Quality checks happen earlier

    Content is evaluated before publication, when improvements are easiest to make.

  • A scalable content operation

    The team can increase output without multiplying manual research and coordination.

  • Visibility beyond traditional search

    The workflow accounts for both search engines and AI answer experiences.

  • Strong, measurable search presence

    Branded searches such as “energy bits” rank at position 3 with a 29.4% click-through rate, and 340 of 500 tracked keywords sit on page one.

  • A clear AI-visibility roadmap

    Brand mentions reach 18.8% across AI engines. Three tracked questions show zero presence, which gives the scoring pipeline specific topics to target next.

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