Case Study 02 · SaaS Hybrid · B2B and B2C Lanes
Tested on ChatGPT · Perplexity · Google AI Overviews

Reddit can help your AI citations. But not before AI knows what you are.

One SaaS company ran the same amplification playbook across two product lines. Same Reddit cadence. Same LinkedIn motion. Five months later, one lane reached 58% AI-answer presence. The other stalled at 11%.

B2C Lane · Coherent Entity
58%
Present in 58% of tested AI answer slots across three platforms.
B2B Lane · Fragmented Entity
11%
Present in 11%. Competitors filled the slots the brand should have held.

Same company. Same playbook. Different entity foundation. The difference was not content volume. It was whether AI could classify the business before the content arrived.

The homepage said enterprise. The rest of the internet still said consumer.

AI trusted the rest of the internet.

Same domain. Different entity foundation.

B2C Lane · Coherent
Website, reviews, directories, press, and schema all pointed to the same category. AI had a coherent entity to amplify.
B2B Lane · Fragmented
A new homepage claimed enterprise. Reviews, directories, press, and schema still described the old consumer category. AI had conflicting evidence to resolve.

You cannot out-post a broken entity. Reddit is an amplifier, not an identity-repair tool. The posts added one new signal into an old, conflicting corpus. They amplified what AI already believed.

Most teams test Reddit before they fix entity resolution. Then they call Reddit ineffective when citations do not move. The order of operations matters more than the posting plan.

Entity associations propagate slower than homepage copy.

Loop 1: Live retrieval. AI reads the current web at query time. A new homepage appears within weeks. This is the layer amplification reaches first.

Loop 2: Parametric memory. The older consumer-category association persists for 6 to 12 months until retraining or decay. A homepage edit cannot reach it.

The gap between the two loops is the latency window. It is also why Reddit's effect arrives on a 6 to 12 month lag for companies in the middle of a category shift.

· The Impact

The B2C lane's 58% presence came from a coherent entity foundation. The B2B lane's 11% reflects what amplification cannot fix: the wrong category association sitting in AI parametric memory.

AI visibility compounds clarity. It does not create it. A coherent entity foundation makes every other investment pay back. A fragmented foundation absorbs investment without producing returns.

The diagnostic question to ask before funding any amplification program: ask each AI platform your top category question, phrased as a buyer would. If competitors filled the slot, you have a presence gap. If you were named in the wrong category, you have an entity gap. Fix that first.

Is your amplification not producing citations?

The AI Visibility Snapshot runs your company through the seven-layer diagnostic and identifies whether the issue is entity, content, surface, or measurement. You receive a written finding within 48 hours.

About this diagnostic. Produced using the Algorithmic Authority Stack, a seven-layer diagnostic framework for how AI systems resolve, classify, and cite B2B companies. Built on 70+ companies of comparative pattern data from the Algorithmic Authority Index.

Company identity anonymized. Methodology details, citation percentages, and competitive analysis reflect the actual engagement.