A developer-first citation observation stream that runs versioned prompt panels across supported AI-search surfaces and returns sourced answers, citations, brands, competitors, sampling context, and uncertainty.
Genesis score7.37/10
Make AISearchWire real.0/500
500 more votes and AISearchWire is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
1Direct API competitor
100Standard plan prompts
2,000/moIncluded API requests
The case
A direct competitor already offers a public API across several AI-search surfaces, correcting any claim that the API category is empty. AISearchWire's narrower wedge is raw, developer-oriented event delivery and longitudinal history rather than dashboard prompt quotas. Each result is a sampled observation conditioned on prompt, surface, locale, account, time, and model state. Share of voice and citation rate are defined metrics over that panel—not complete search demand, traffic attribution, causal influence, or what every user sees.
Who pays — and why
The marketing data, search, analytics, agency, or product engineering team integrating AI-answer citation observations into its own systems.
What it unlocks
A versioned query panel with brand, entities, topics, intents, competitors, prompts, locales, account state, surface, frequency, and sampling policy
Raw observation events containing answer, citations, cited URL and domain, position, retrieval time, model label, source availability, capture evidence, parsing version, and errors
Derived citation-rate, share-of-panel, source diversity, volatility, competitive gap, and change metrics with exact denominators and no traffic or causality claim
How Genesis scored it
7.37across seven criteria
8
Temporal window
The June 2026 API release confirms current timing.
8
Buyer persona
Marketing data teams have a concrete ingestion job.
6
Incumbent blindspot
Raw-data packaging creates a gap without a large incumbent conflict.
Why it scored well
A live public API, multiple surfaces, clear developer buyer, and longitudinal data need support a raw-stream wedge.
What's holding it back
The direct competitor is strong, access and reproducibility vary, differentiation is packaging-heavy, and the metrics can be overinterpreted.
Signals detected5 sources crossed
SignalOtterlyAI research carried in Genesis
Signalcompetitor surface research carried in Genesis
Signalcompetitor pricing research carried in Genesis
Signalcompetitor comparison carried in Genesis
Signalmarket scan carried in Genesis
Direction briefaisearchwire.md
aisearchwire.md
Want this pointed at your vertical?Point Genesis at your own market and constraints — it invents adjacent, fork-ready ideas, private to you before they hit the public feed.
