Outcomes
Results
What Nerativ programs actually deliver. LLM citation growth, Reddit rankings, and AI-referred pipeline across B2B verticals. Numbers from real engagements, not projections.
What we measure
The outcomes Nerativ programs are built to deliver
Program outcomes
What a Nerativ engagement delivers, phase by phase
Days 1-30: Intelligence and strategy
Full subreddit mapping for your vertical, baseline LLM citation audit via Peec AI, competitor Reddit sentiment analysis, keyword-to-thread mapping, 30-day content calendar. You leave month one knowing exactly where you stand and where the program is headed.
Days 31-60: First threads live and ranking
Initial thread seeding across target subreddits. First threads appearing in Google SERPs for target keywords. Peec AI begins detecting early citation signals in Perplexity and Google AI Overview, which retrieve in real time. ChatGPT base model citations follow the training cycle.
Days 61-90: Measurable citation growth
Most clients see citation frequency increases of 3-5x baseline by day 90 in Perplexity and Google AI Overview. Google rankings for seeded threads establish. Branded search volume trends upward. The second monthly report shows direction clearly enough to project the trajectory forward.
Month 6+: Compounding returns
Reddit threads age into stronger ranking positions. Citation share vs. competitors widens as the thread archive deepens. AI-referred traffic in GA4 grows as more buyers encounter the brand through ChatGPT and Perplexity responses. The program compounds because threads don't decay the way paid media does.
Case study
From zero citations to cited in 61% of target queries in 90 days
A B2B SaaS brand in a competitive compliance category had strong Google organic traffic but zero presence in AI model responses. Competitors were being cited regularly in Perplexity and Google AI Overview. Buyers were arriving pre-sold on competitors.
The 90-day Nerativ program seeded 18 threads across four target subreddits, produced 23 Perplexity source citations, and moved the brand from unranked to third in share of voice for its primary AI query set.
Read the full case study90-day results
Perplexity citations for target queries (out of 20 tested)
Reddit threads ranking on Google page 1 for target keywords
Share of voice rank among 6 competitors tracked
Conversion rate from Perplexity-referred vs. organic search visitors
Composite figures. Individual results vary by industry, keyword competitiveness, and program scope.
Honesty
What we don't promise
Reddit marketing compounds over time. It does not produce overnight spikes. We do not promise guaranteed citation counts, specific Google ranking positions, or a fixed number of SQLs. Those claims are not deliverable by any ethical provider.
What we do promise is a rigorous process, transparent monthly measurement via Peec AI, and a program that adjusts when data shows what's working and what isn't. If the program isn't producing citation growth after 90 days, we find out why and fix it before month four.
The results on this page reflect real engagements. They are composite figures because client confidentiality prevents us from publishing named case studies. The numbers are not projections. They are what the programs produced.
Read how the program worksGet a baseline citation audit for your brand
Before any engagement starts, we run a Peec AI citation audit that shows where you stand today: citation frequency, competitor share, and which queries you're invisible for. Book a strategy call to see your baseline.
No bots. No fake accounts. 100% human engagement.