Where ritekit.com stands the day MentionFox Aggressive Autopilot started. Real LLM scan across the RiteKit category. No manual tuning. This is the benchmark every future day-N report compares against.
RiteKit appeared in 2 of 44 conversations. Both wins came from ChatGPT (gpt-4o-mini); Gemini, Claude, and Perplexity returned zero citations across the same prompts.
| LLM | Conversations | RiteKit cited | Win rate | Avg position |
|---|---|---|---|---|
| chatgpt (gpt-4o-mini) | 11 | 2 | 18.18% | 15.5 |
| gemini (gemini-2.5-flash) | 11 | 0 | 0% | — |
| claude (sonnet-4-6) | 11 | 0 | 0% | — |
| perplexity (sonar) | 11 | 0 | 0% | — |
The category is dominated by general social-media management tools. Buffer and Hootsuite each appeared in nearly half the conversations. RiteKit's 2 appearances put it well below all five competitors.
| Competitor | Mentions across 44 conversations | Share |
|---|---|---|
| Buffer | 21 | 47.7% |
| Hootsuite | 20 | 45.5% |
| Sprout Social | 19 | 43.2% |
| Later | 15 | 34.1% |
| SocialBee | 9 | 20.5% |
| RiteKit | 2 | 4.5% |
RiteKit only surfaces on hashtag-adjacent queries. On every other category prompt — analytics, scheduling, Twitter optimization, influencer tools — it was invisible at day 0.
| Prompt | Calls | Wins | Win % |
|---|---|---|---|
| scheduling + hashtag combo tools | 3 | 1 | 33.33% |
| best hashtag generator | 4 | 1 | 25.00% |
| automation tools for social media managers | 4 | 0 | 0% |
| best #ad-disclosure tracking tools | 4 | 0 | 0% |
| best social media tools for influencers | 4 | 0 | 0% |
| best Twitter optimization tools | 4 | 0 | 0% |
| influencer marketing tools comparison | 4 | 0 | 0% |
| social media analytics tools small teams | 4 | 0 | 0% |
| social media scheduling alternatives to Buffer | 4 | 0 | 0% |
| Twitter analytics + scheduling tools | 4 | 0 | 0% |
| Twitter growth tools 2026 | 4 | 0 | 0% |
Click to expand. The two wins both come from gpt-4o-mini and both reference the RiteTag product line within the RiteKit suite.
Aggressive Autopilot is now active on ritekit.com. It runs four loops per day across the 5-LLM brand-promotion stack (gemini_flash 30% · gpt4omini 30% · deepseek 25% · mistral 15% · claude deactivated for cost control), seeds RiteKit-themed conversations against each LLM's category prompts, captures every win + loss into the citation pipeline, and feeds the loss patterns back into the GEO content factory.
Each daily polling scan re-runs the same 11 monitoring prompts and snapshots the win rate. We expect movement to start appearing on the hashtag-adjacent prompts first (since RiteKit already wins those on ChatGPT), then to spread to scheduling and Twitter-growth queries as the GEO content compounds.
Day 7, Day 14, Day 21, and Day 30 each get a full milestone report with the same per-LLM, per-prompt, and per-competitor breakdown. The story we publish on Day 30 will be whatever the data actually shows — no cherry-picking, no manual re-runs.