Python · AI Search · Competitive intelligence

AI Search Competitive Intelligence

An independent benchmark comparing Notion, Asana, ClickUp and monday.com across the same controlled buyer-intent prompt set. This is research, not client work for any benchmarked company.

At a glance / Evidence status

Problem

How can four SaaS platforms be compared in AI-generated answers without confusing brand mentions with citations or recommendations?

Method & tools

35 versioned buyer-intent prompts, seven intent families, public-source evidence, structured observation fields and Python-oriented scoring rules.

Deliverables

Benchmark protocol, measurement definitions and an auditable observation design.

Verified status

Protocol prepared; AI response observations and comparative performance results have not yet been collected or published.

Dataset v1

35 frozen prompts across seven intent families: category discovery, alternatives, comparison, capability, pricing/value, implementation and recommendation. Prompt definitions are versioned before observations are scored.

Measurement model

Mention coverage

Share of eligible prompts in which each brand is explicitly mentioned.

Citation coverage

Share of eligible prompts with evidence cited for the brand.

Recommendation coverage

Share of recommendation prompts in which a brand is included.

Intent consistency

Family-level visibility is preserved so a strong result in one intent cannot hide weakness in another.

Audit trail

Every observation records engine/run, prompt, brand, mention, citation, recommendation inclusion, ordered position where meaningful, source type, source URL and an evidence note. Repeated runs append evidence instead of overwriting history.

Scoring guardrail

Mean position is calculated only for explicitly ordered shortlists and is never presented as a universal AI-search rank. Missing observations are never imputed. The Python pipeline refuses to invent results.

Status

Protocol and dataset are ready. Results remain unpublished until real observations are collected and auditable.