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Growth idea action plan

Information Gain content triad for AEO dominance

Structure every piece of content around the Information Gain + Authority + Experience triad to win citations in AI-generated answers and outperform generic SEO content.

legendary tactic free budget Communities, LinkedIn, SEO Stages: 0-100, 100-1K

Why this can grow a startup

AI answer engines like ChatGPT, Gemini, and Perplexity prioritize sources that add something new (Information Gain), come from credible authors or domains (Authority), and demonstrate lived, first-hand insight (Experience). Generic content that merely restates what already ranks in the top 10 results gets filtered out by LLMs. By deliberately engineering content around this triad — sharing original data, writing from personal experience, and publishing on authoritative platforms — you become the source AI systems cite. This is the actionable framework behind AEO that separates winners from noise.

Ian's take

From scaling consumer platforms across MENA and Southeast Asia, my default is to distrust growth work that only looks good in a slide. I would treat this as earning the right to be in the room, not dropping a campaign into a room. In community-led growth, the first job is to notice what people already care about, then bring a useful proof, tool, teardown, or question that makes the conversation better. I would run it small enough to learn quickly, then only scale the parts that real users repeat, save, reply to, or buy from. For this tactic, I would watch one clear growth signal before putting more time or budget behind it.

Action plan

  1. Define one narrow startup segment where information gain content triad for aeo dominance can create a measurable lift.
  2. Turn the tactic into one offer, page, campaign, or workflow for the Communities and LinkedIn channel.
  3. Use the evidence from lennysnewsletter.com to set the first version of the message, format, and audience.
  4. Launch a small test for 7 to 14 days with one success metric: one measurable growth signal.
  5. Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.

Source-backed example

Ethan Smith framework (featured on Lenny Rachitsky's newsletter, adopted by multiple growth marketers on r/GrowthHacking in 2026) — practitioners report that content scoring high on all three axes consistently appears in LLM-generated answers, while generic 'ultimate guide' posts are ignored by AI systems despite ranking well in traditional search.

Source: lennysnewsletter.com

Last checked: March 22, 2026

Want help turning this into a growth system?

If you want someone to pressure-test this against your real market, Ian works with founders on growth, market entry, and operator-led distribution.

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