Real ChatGPT answer · index seedrR74NIZ2x1wcompleteMarketing and advertising · AI search and generative engine optimizationinformational
What are the best open source predictive analytics models for search marketing that do not require an expensive enterprise subscription?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best open source predictive analytics models for search marketing that do not require an expensive enterprise subscription?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
open source predictive analytics tools search marketing forecasting attribution SEO PPC Google Meridian Meta Robyn Prophet LightGBM 2026 Google ↗
GitHub open source marketing mix modeling Meridian Robyn PyMC-Marketing documentation Google ↗
- Official documentation · developers.google.com
- Official website and documentation · pymc-marketing.io
- GitHub repository · github.com
- GitHub repository · github.com
- GitHub repository · github.com
- Official website · xgboost.ai
- CatBoost · catboost.ai
- StatsForecast · github.com
- Uber Orbit · github.com
- Scikit-learn · scikit-learn.org
- Google Search Console · search.google.com
- pymc-marketing/docs/source/index.md at main · pymc-labs/pymc-marketing · github.com
- Open-Source Media and Marketing Mix Modeling: Practice-Oriented Overview, Challenges, Opportunities | Customer Needs and Solutions · link.springer.com
- Open Source MMM Libraries Compared (October 2026) · vexpower.com
- The aim of this conceptualization of the m/MMM analytics process is to connect the discussed open-source packages to marketing analytics practice and provide a basis for structured analysis and comparison of the packages. Case in point, Appendix A illustrates how the analytics process in Figure 1 maps onto the computational workflow of Robyn, including code examples. We also refer the interested reader to Runge et al. (2024) that provides a more detailed exposition, including best practice recom · thearf-org-unified-admin.s3.amazonaws.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
open source predictive analytics tools search marketing forecasting attribution SEO PPC Google Meridian Meta Robyn Prophet LightGBM 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
GitHub open source marketing mix modeling Meridian Robyn PyMC-Marketing documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |