Marketing strategy for an AI company
The client reports improved lead generation and conversion metrics, and values the team’s research. They would have preferred a faster transition to a steady working rhythm.

#5 globally · #3 in United States
NoGood combines growth marketing with answer engine optimisation. Its SteelSeries case study covers AI-platform measurement, content, authority and technical work for a gaming-accessories brand.
Consumer and technology brands wanting AI-search work connected to experimentation, acquisition and commercial measurement.
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Client feedback
The client reports improved lead generation and conversion metrics, and values the team’s research. They would have preferred a faster transition to a steady working rhythm.
The SteelSeries account describes platform-specific optimisation, technical markup, content and authority-building alongside AI attribution. Buyers can use it to ask for a concrete work plan instead of a visibility dashboard alone.
Define which engines and customer questions matter before testing starts. If the engagement spans several acquisition channels, require separate reporting for AI-referred activity and the wider growth programme.
The SteelSeries project describes structured data, semantic markup and technical discovery changes.
Its AEO measurement guidance distinguishes visibility and sentiment from commercial impact.
Its SteelSeries work explicitly includes AEO strategy and implementation, platform visibility tracking, technical infrastructure and attribution across ChatGPT, Perplexity and Gemini.
This service appears in the agency’s published material. Results have not been independently verified.
NoGood documents a named gaming-accessories engagement across several AI platforms. Treat the reported conversion and visibility gains as agency-published results, and ask how changing baselines and attribution were handled.
Read the case studyThe $$ band is retained as an indicative guide. A dedicated AEO programme may have a different scope from a broader growth engagement; confirm the actual minimum and inclusions.
4 public sources were reviewed for this profile. Last reviewed 30 August 2026. Agency-published results are identified as self-reported.
Consumer and technology brands wanting AI-search work connected to experimentation, acquisition and commercial measurement.
Its SteelSeries work explicitly includes AEO strategy and implementation, platform visibility tracking, technical infrastructure and attribution across ChatGPT, Perplexity and Gemini.
Define which engines and customer questions matter before testing starts. If the engagement spans several acquisition channels, require separate reporting for AI-referred activity and the wider growth programme.
The $$ band is retained as an indicative guide. A dedicated AEO programme may have a different scope from a broader growth engagement; confirm the actual minimum and inclusions.
London, United Kingdom
Austin, United States
Austin, United States
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Recognition
| Date | Global | Country |
|---|---|---|
| 30 September 2026 | #5 | #3 |
Earlier positions are shown when a dated record is available.