Visibility & GEO
AI Sentiment Map
Map how models, news, and developer communities frame an AI topic, brand, or category over time.
How to use this dashboard
Map how models, news, and developer communities frame an AI topic, brand, or category over time.
Use this map to compare how AI systems, news, and communities describe a topic over time. Treat sentiment as a signal that needs human review.
AI Sentiment Map
3 records| 2026-04-29 | AI model pricing | Manual LLM output | Manual log template | 0 | Neutral / baseline | pricing comparison | 0 | Record outputs, then classify with a consistent rubric. | Free version should use manual LLM outputs, GDELT headlines, HN discussions, or CSV imports. |
| 2026-04-29 | Open-weight AI models | Manual LLM output | Manual log template | 0 | Neutral / baseline | open-weight model adoption | 0 | Compare positive, negative, and neutral framing across repeated checks. | Useful for mapping whether open models are framed as cheaper, riskier, stronger, or more flexible. |
| 2026-04-29 | AI in business operations | News/community signal | Optional GDELT/HN enrichment | 0 | Needs enrichment | AI adoption | 0 | Optional network script can pull headlines/discussions, but editorial review is required. | Do not present automatically fetched headlines as final sentiment without review. |