How Better. reads what AI recommends.
Better. uses a proprietary methodology to measure how AI platforms describe, compare and recommend a brand across customer questions, competitors and decision moments, then turns that evidence into content and tracks what moves.
What each engagement covers
Free Recommendation Snapshot
17 customer questions · ChatGPT, Gemini and Claude · 3 runs each · 153 responses
Better. Recommended
30 customer questions · ChatGPT, Gemini, Claude, Perplexity, Microsoft Copilot and Grok · 6 runs each · 1,080 responses per monthly read
See
Better. tests how AI responds across selected platforms and real customer questions, spanning awareness, consideration, active evaluation and purchase-trigger moments, with web search enabled where the platform supports it. It compares the brand against its competitive set across six tracked signals:
- Discoverability — whether AI can find the brand at all
- Authority — how much weight AI gives what it finds
- Reputation — how AI characterises the brand once it is found
- Comparison — how the brand fares when AI weighs it against alternatives
- Sources — which evidence AI is actually citing
- Positioning — where the brand sits in the answer, not just whether it is mentioned
From that, each read measures:
- Better Score
- Benchmark Score
- Recommendation share
- Competitor gap
- Revenue opportunity
- Where the brand wins and loses
- Sources and evidence
- Unsupported or inconsistent claims
Shape
The analysis identifies one priority recommendation gap each month. Four production credits are then allocated to monthly Better. Content across Owned, Social and Earned.
The mix is determined by the evidence and complexity of the work rather than divided evenly across channels. Each month’s output includes the format, metadata, source requirements and activation guidance needed to put the content live.
Prove
The live Better. Recommended dashboard tracks Better Score, Benchmark Score, recommendation share, competitor movement, revenue opportunity, customer-question performance, sources and published content dates.
Repeat
Each new read determines the next priority and content focus, creating a continuous loop of recommendation intelligence, production and measurable movement.
What stays proprietary
The Better Score, the prompt-generation system and the weighting behind each signal are proprietary. What you see is the evidence behind the score, the findings and the plan built to act on them.
Agentic production. Reviewed by a human. Built from legitimate evidence, never tactics designed to game AI systems.