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; Gemini, Claude, and Perplexity returned zero citations across the same prompts.
| LLM | Conversations | RiteKit cited | Win rate | Avg position |
|---|---|---|---|---|
| ChatGPT | 11 | 2 | 18.18% | 15.5 |
| Gemini | 11 | 0 | 0% | — |
| Claude | 11 | 0 | 0% | — |
| Perplexity | 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 ChatGPT and both reference the RiteTag product line within the RiteKit suite.
Aggressive Autopilot is now active on ritekit.com. It runs daily across the major AI assistants, capturing every win and 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.