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PostHog private-mode three-prompt benchmark before AEO tool sprawl

Check ChatGPT, Claude, and Gemini in private mode with 3-5 plain buyer prompts before you disappear into dashboards, exports, and vendor demos.

rare tactic free budget AI visibility, SEO, Research Stages: aeo baseline, prompt research, private mode, buyer language

Why this can grow a startup

AEO gets abstract fast. Teams jump to tooling before they know whether the models even know they exist, or whether the product is being described correctly. PostHog's approach is useful because it starts with a cheap reality check: turn memory off, use prompts a real buyer would actually type, and see where the product is missing or misrepresented. That keeps the first audit anchored in buyer language instead of in an internal keyword list. It also gives the team a baseline before any reporting stack starts flattering them with charts. The point is not to reject tooling. The point is to make sure the team has looked at the problem with its own eyes first.

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. For SEO and AI search, I care less about clever keyword tricks and more about clarity. A buyer, crawler, or answer engine should quickly understand who this is for, why it works, what proof backs it, and what page deserves to be cited. 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 posthog private-mode three-prompt benchmark before aeo tool sprawl can create a measurable lift.
  2. Turn the tactic into one offer, page, campaign, or workflow for the AI visibility and SEO channel.
  3. Use the evidence from newsletter.posthog.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

PostHog's AEO lead recommends going to ChatGPT, Claude, and Gemini in private mode, running 3-5 basic prompts such as best X tool or alternative to Y, and only then deciding whether a dedicated visibility tool is needed.

Source: PostHog: LLMs are picking winners. Here's how to become one. (newsletter.posthog.com)

GrowthDex source hub: PostHog: LLMs are picking winners. Here's how to become one.

Last checked: 2026-06-09T14:12:06.000Z

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Ian Goh has helped grow consumer platforms across Southeast Asia, India, and MENA. His work includes scaling Tiki to 100M+ users, doubling BIGO's MENA revenue in 7 months, and increasing OYO's direct booking share across 6 Southeast Asian markets.

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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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