Feature gap tracker for AI sales tool buying decisions

A revenue operations lead is six weeks into evaluating a new AI sales assistant when they discover — after the contract is signed — that account list imports require a support ticket, fields can't be sorted by clicking column headers, and intelligent date calculations in sequences don't exist. They'd asked about features in the demo. The vendor said 'on the roadmap.' That phrase appears almost verbatim in three separate complaints here: 'features are not yet available and are only on the roadmap.'

The reason this keeps happening is structural: vendors control what gets demoed, roadmap claims are unverifiable at signing time, and there's no independent source of truth for 'does this tool actually do X today, not in Q3.' G2 and Capterra reviews describe sentiment, not feature state. The vendor's own changelog is marketing. No one is maintaining a ground-truth, user-verified feature matrix that distinguishes 'live,' 'beta,' and 'roadmap' for the specific workflow features that sales ops teams actually care about — things like list import/export behavior, field sortability, default settings persistence, and analytics export formats.

This is a business and not a consulting gig because the underlying category is moving fast — new AI sales tools launch constantly, existing ones ship and deprecate features — so the database needs continuous maintenance, which creates a subscription justification. The buyer (RevOps leads, procurement-adjacent roles) has a concrete financial stake: a bad tool choice locks them into a one or two year contract on software that can't do what they need. That's a five to six figure mistake. Paying $200-500/month to have reliable pre-contract feature verification is cheap insurance.

What to build

Build a continuously updated, user-verified feature matrix for AI sales assistant tools — covering specific workflow capabilities like list import/export, column sorting, settings persistence, analytics export formats, and sequence logic — where each feature entry is tagged as live, beta, or roadmap, sourced from user confirmation and changelogs, and searchable by specific use case.

Where to start

Start by covering exactly the five tools in this dataset (Aircall, AiSDR, Aloware, Alta, Amplemarket) with deep, specific feature verification — going narrower and more accurate than any existing review site — so early users find it immediately more useful than anything else for this exact category comparison.

The hard part

Keeping the feature data accurate requires a constant stream of user contributions or a research team manually testing tools — and vendors will push back on 'roadmap' classifications that make their product look unfinished, creating potential legal and relationship friction.

How it makes money

Monthly subscription for full access to the feature matrix and export-to-comparison-doc functionality, with a free tier showing only top-level live/not-live status to drive discovery; enterprise teams pay a flat annual fee for custom evaluation reports on specific shortlists.