BabyPenguin.AI

Note: this is a composite, illustrative case study based on patterns we see across BabyPenguin customers. Numbers and tactics are representative. The brand name is fictional. Do not treat it as a single real account.

Meet "Loopbase". A mid-market SaaS in the project management space. 12 employees, $3M ARR, profitable. They compete with Asana, Monday, ClickUp and Notion. On Google they rank okay. In ChatGPT they were invisible.

When the team first ran a BabyPenguin audit in January, the numbers were brutal. Across 40 target prompts ("best project management tool for agencies," "ClickUp alternative for small teams," and so on), Loopbase appeared in 0% of ChatGPT answers. Asana, Monday and Notion appeared in 85% or more.

90 days later, Loopbase was cited in 40% of those same prompts. Here is how.

Day 0: the audit

Before touching tactics, the team built a prompt list. Not keywords. Actual prompts, the way buyers phrase them. Examples:

"What is the best project management tool for a 15-person marketing agency?"
"Compare Asana vs Monday vs ClickUp for creative teams."
"Cheapest project management software with time tracking and client portals."
"What do people on Reddit recommend instead of Asana?"

They loaded 40 prompts into BabyPenguin and ran them across ChatGPT, Gemini, Grok and Perplexity. The citation source analysis showed the ugly truth: 60% of ChatGPT's answers cited Reddit threads, 20% cited G2 and Capterra, 10% cited competitor blog comparison pages, and 10% cited TechCrunch and similar press.

Loopbase had weak or no presence in every single one of those sources.

The 90-day plan

They did not try to do everything. They picked the highest-leverage moves and executed hard.

Move 1: Three Reddit threads

Not shilling. The founder and head of marketing joined r/agency, r/marketing and r/projectmanagement. For six weeks, they answered questions without promoting. Then, in week 7, an organic thread titled "Agencies, what PM tool actually works for client work?" got 400+ comments. Loopbase was mentioned by three unrelated users (two of them actual customers who had been waiting for the right moment).

Two more threads followed over the next 30 days. By day 60, Loopbase was appearing in Reddit search results for "Asana alternative" and "ClickUp alternative" queries.

Move 2: Two podcasts

The founder booked two appearances. One on a mid-tier marketing agency podcast (15k downloads per episode). One on a SaaS founder podcast (9k per episode). Both had YouTube distribution with clean transcripts. Both discussed specific use cases Loopbase solved better than competitors.

Podcast transcripts are scraped more than most people realise. Within 30 days, Perplexity was citing the YouTube transcript of one episode in answers about "project management for small agencies."

Move 3: Four comparison pages

They published four honest comparison pages on their own site:

Loopbase vs Asana
Loopbase vs Monday
Loopbase vs ClickUp
Loopbase vs Notion for Project Management

Each page was 2,500 to 3,500 words. Each included a feature-by-feature table, a pricing comparison, a "when to choose X" section, and a "when NOT to choose Loopbase" section. That last part is the one people skip. It is also the one LLMs love, because it reads as balanced.

By day 75, three of the four pages were cited in ChatGPT answers.

Move 4: One original data study

They ran a survey of 312 agency owners on how they use project management tools. Published the full dataset with methodology. Pitched it to 15 writers in the industry. Got picked up by two mid-tier publications and quoted in a Forbes piece.

The data study became the most-cited Loopbase asset in AI answers. Numbers are quotable. Models love quotable.

What the BabyPenguin dashboard showed, week by week

This is the part that matters, because without measurement none of this would have been actionable.

Week 2: mention rate 0%. No citations.
Week 4: mention rate 2%. First Perplexity citation from a podcast transcript.
Week 6: mention rate 8%. Reddit thread #1 cited in ChatGPT.
Week 8: mention rate 15%. Comparison pages start appearing in Gemini citations.
Week 10: mention rate 24%. Data study picked up in Forbes, cited across multiple engines.
Week 12: mention rate 34%.
Week 13: mention rate 40%.

The competitor comparison view in BabyPenguin showed the shift in real time. Asana's mention rate on Loopbase's target prompts dropped from 85% to 72%. Not because Asana got weaker, but because the answer space was now shared.

What did not work

Worth being honest about the misses.

Paid guest posts on low-authority blogs: $2,400 spent, zero measurable impact on citations.
SEO-optimised listicles on their own blog: traffic went up, AI citations did not. LLMs do not care about keyword density.
Twitter/X activity: Grok picked up some mentions, other engines did not. Worth doing for Grok specifically if that is a priority.

The lessons

Three things that generalise from this.

1. Source diversity beats source volume. One Reddit thread + one podcast + one comparison page + one data study beats ten blog posts every time. Different source types cover different citation patterns across engines.

2. Honesty is an SEO tactic now. The "when NOT to choose us" section on comparison pages made Loopbase more cite-able, not less. LLMs surface content that reads balanced.

3. You cannot manage what you do not measure. Without BabyPenguin tracking, the team would have had no idea which tactics moved the needle. They would have kept spending on the things that did not work.

What 40% mention rate is worth

Loopbase saw branded search volume increase 3.2x over the 90-day window. Direct traffic up 2.1x. Demo requests from "other" and "AI tools" attribution sources went from 4 per month to 31.

They did not change their paid spend. They did not launch a new product. They got cited in ChatGPT.

For the broader strategy framework, read how to rank inside ChatGPT and AI visibility explained.

Frequently Asked Questions

Is 0% to 40% realistic in 90 days?

For a mid-market brand with existing content and budget, yes, with focused execution. Smaller brands often take 120 to 180 days. The tactics are the same, the timeline scales with resources.

How many prompts should I track?

At minimum 30, ideally 50 to 100. You want enough coverage that a few lucky citations do not skew your trend. BabyPenguin handles hundreds easily.

Do I need to be on every engine to start?

No. Start with the engines your buyers use. For B2B SaaS, ChatGPT and Perplexity first. Expand to Gemini and Grok as you grow.

What is the single highest-leverage tactic?

Original data. A survey or benchmark that nobody else has. It compounds because other writers cite it, and those citations also feed the model.

How do I prove ROI on AI visibility work?

Track mention rate alongside branded search, direct traffic and self-reported attribution ("how did you hear about us"). BabyPenguin correlates mention rate with these downstream metrics so the connection is visible.