The platform

See what the answer is built on.

Source X-Ray connects an answer to its underlying evidence. Source Map turns that evidence into a category record your team can inspect, prioritize, and revisit.

See Source X-Ray View platform plans

Source X-Ray

See the evidence behind the answer.

Foremention connects an observed answer to the pages, brands, and evidence signals that help explain it. The answer stays intact; the source layer becomes visible.

AI answer recordObserved view

Which reporting platform fits a growing SaaS team?

Tracked answer

Recommendations appear as a shortlist. Foremention records the brands and then reveals the evidence behind them.

Brand APresent in the answer record.

Brand BPresent in the answer record.

Brand CPresent in the answer record.

Source evidence layerExact pages

Buyer question → answer record → source page → named brand

What supports the observed result

Each source is a dated record your team can inspect, compare, and revisit.

Independent category guideNames a competitor in a decision-making comparison.Editorial source

Verified review categoryAdds current customer evidence to the category record.Review source

Industry benchmarkSupplies an evidence point that other pages reuse.Research source

Evidence status: reviewable

Six connected systems

One platform from answer record to measurable change.

Connect a brand, define buyer questions, collect evidence, inspect exact sources, prioritize decisions, and track what changes in your own workspace.

Source X-Ray

Connects an answer record to the outside pages and brands that help explain it.

Source Map

Organizes recurring source pages, brand presence, evidence signals, and actions in one category record.

Evidence Vault

Connects every approved product claim to its supporting case study, review, dataset, document, owner, and review date.

Action Graph

Turns an evidence gap into a structured decision, owner, next action, and dated outcome.

Movement Watch

Tracks answer changes, source changes, citation survival, and competitor movement over time.

Revenue Lens

Connects observed AI referrals and self-reported discovery to leads and pipeline without claiming false causation.

The Recommendation Graph

Every run strengthens your company's recommendation data layer.

Question

What did the buyer ask, on which engine, at what time?

Source

Which exact outside URL supported the answer, and who did it name?

Change

What moved across later runs, which evidence survived, and where should the team act next?

Built for trust

Real answers. Exact pages. Raw evidence kept.

Every engine stays separate. One provider changing does not erase the rest of the evidence.

Every changed question gets a new record. Old and new results remain understandable.

Missing data stays visible. A failed check never becomes a made-up score.

Start self-serve

Build the recommendation intelligence layer for your category.

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