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.
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.
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-reported evidence
Source: PostHog: LLMs are picking winners. Here's how to become one. · Browse PostHog: LLMs are picking winners. Here's how to become one. tactics
PostHog's starting benchmark is 3-5 plain prompts per model, while a dedicated AEO tool later expands that into hundreds of tracked prompts per day.
Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.
Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.
When to use it
Use this when AI visibility, SEO, Research is relevant to aeo baseline, prompt research, private mode and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
How to do it
- Choose one target segment and define the exact next action this tactic should prompt.
- Adapt the tactic to AI visibility and SEO, using evidence from PostHog: LLMs are picking winners. Here's how to become one. as context—not as a promised result.
- Record a baseline for: Qualified search visitors who complete the intended next action. Set a guardrail that would make you pause the test.
- Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
- Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
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Apply this with an operator
Turn isolated search tactics into a crawlable visibility system tied to demand and proof.