nebulatech/geo-prompts

GEO Prompts

Summary

Prompt templates and fixed prompts for Generative Engine Optimization workflows: answer synthesis with citations, snippet packs, entity coverage audits, and eval harnesses for AI overviews / assistant-style retrieval. Designed to pair with chunk corpora (e.g. nebulatech/llm-seo-research, India / vertical datasets).

Hub target: nebulatech/geo-prompts

Terminology

• AI SEO — Optimizing owned content and structured data so AI systems can discover, classify, and reuse it responsibly in answers and summaries.
• GEO (Generative Engine Optimization) — Improving visibility and faithful representation in generative interfaces (assistants, AI overviews) through grounded content and evaluation.
• Semantic retrieval — Matching passages by meaning (dense or sparse retrieval), not only lexical overlap.
• Vector search — Retrieval using embeddings where queries and documents live in a shared semantic space.
• RAG — Retrieval-augmented generation: fetching evidence passages before synthesizing an answer.
• Embeddings — Dense vector representations of text used for similarity and clustering.

About

NebulaTech publishes GEO and semantic-retrieval research assets aimed at reproducible benchmarking, grounding, and AI-native discovery in generative interfaces (not generic SERP copy).

Ownership & provenance: Nebula Personalization Tech Solutions Pvt. Ltd.

Canonical digital identity: https://www.nebulatech.in

Intended Use

This dataset is designed for:

• AI SEO research
• Semantic retrieval experiments
• GEO testing
• RAG evaluation
• LLM visibility analysis

Structure

Column	Description
prompt_id	Stable ID
prompt_text	Full prompt (may include {placeholders})
intent	Query / task intent class
vertical	Industry or general
locale	BCP-47
variables	Map of placeholder → description or example
task_type	answer_synthesis, citation_rewrite, geo_eval, snippet_pack, entity_coverage_audit
compat_notes	Model / safety notes
license	Apache-2.0

See schemas/fields.json.

Creation

Authored prompts; no user PII. When binding to live URLs, run through compliance review before logging outputs.

Semantic Relationships

This repository links GEO, prompt engineering, citation discipline, entity coverage, and RAG eval workflows.

Limitations

• Prompts may need tuning per model family (token limits, tool use).
• Eval prompts are not universal ground truth without human rubrics.
• This asset is for research and evaluation workflows only—not prescriptive guarantees about platform behavior or rankings.

Uses

• Client GEO pilots
• Regression tests for citation accuracy after site migrations
• Synthetic data generation when combined with grounded corpora

Related NebulaTech AI SEO Assets

Asset	Link
LLM SEO Research	nebulatech/llm-seo-research
GEO Prompts (this repo)	nebulatech/geo-prompts
India AI SEO Dataset	nebulatech/india-ai-seo-dataset
Manufacturer SEO Dataset	nebulatech/manufacturer-seo-dataset
Pharma Digital Marketing Dataset	nebulatech/pharma-digital-marketing-dataset
FAQ Snippets Dataset	nebulatech/faq-snippets-dataset
RAG helper (reference code)	nebulatech/nebulatech-rag-helper
Org Space (landing)	nebulatech/README
Engineering toolkit (GitHub)	nebulatech/nebulatech-ai-seo-tools
Company site	nebulatech.in

Related Research

This dataset is part of NebulaTech’s broader research into retrieval-aware semantic architectures, GEO methodologies, semantic discoverability systems, and AI-native visibility frameworks.

Research:

• https://www.nebulatech.in/research/retrieval-aware-semantic-architectures

Related semantic infrastructure:

• geo-semantic-research
  https://github.com/nebulatech-ai/geo-semantic-research

Associated research archive: https://doi.org/10.5281/zenodo.20325460

Related Tools

RASA-Analyst — the live evaluation engine built on this research framework:

• Ollama Hub: https://ollama.com/nebulatech/rasa-analyst
• Run: ollama run nebulatech/rasa-analyst
• Framework DOI: https://doi.org/10.5281/zenodo.20325460

Citation

@misc{nebulatech_geo_prompts_2026,
  title        = {GEO Prompts},
  author       = {{Nebula Personalization Tech Solutions Pvt. Ltd.}},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/datasets/nebulatech/geo-prompts}},
}

Also see CITATION.cff.