What does Foremention do?

Foremention turns the buyer questions that matter in your category into a dated record of AI answers, named brands, source pages, and movement over time.

What is a Source Map?

A Source Map is your category’s evidence layer: the pages that support recommendations, which brands they mention, and where your brand is missing.

What is the Recommendation Graph?

It connects a buyer question to an observed answer, the supporting sources, competitor presence, an action, and the later change in evidence.

Marketing, product, growth, and strategy teams that need a shared answer to a simple question: why do AI systems recommend those brands?

Does Foremention guarantee an AI recommendation?

No. AI answers and publisher decisions change. Foremention makes the evidence, uncertainty, and movement visible; it does not guarantee rankings, citations, traffic, or revenue.

How does platform access work?

Create a workspace, set your category and buyer questions, then use the platform to collect, inspect, and compare dated observations as capacity is activated.

Recommendation intelligence for AI discovery

Know what shapes the AI shortlist.

AI answers influence the buying process before a buyer reaches your site. Foremention makes the questions, answers, brands, sources, and changes behind those answers legible to your team.

Create your workspace Explore the platform

Buyer questions
Exact sources
Dated evidence
Clear limits

Recommendation MonitorWorkspace overview

Category intelligence

Buyer questions → observed answers → source evidence

24tracked questions

87source pages

6brand movements

Every signal links back to the date, the answer, and the underlying source.

Source MapNew comparison source detectedEvidence recorded today

MovementCompetitor presence changedReview in workspace

CollectionRun history is completeView answer records

DATEDEvery observation has a time

EXACTSource evidence stays visible

SHAREDYour team owns the workspace

CLEARLimits stay in the product

Recommendation intelligence, made practical

Understand what shapes the AI shortlist.

Foremention gives your team a durable system for investigating the answers buyers see—without turning uncertainty into a promise.

Collect

Turn the questions that shape purchase decisions into an organized monitoring system.

Explain

Connect answers to the exact source pages and brands visible behind them.

Decide

Prioritize the evidence gaps worth acting on and track the movement that follows.

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

One workspace, not another report

From question to source to change.

The Recommendation Graph is a living record of buyer questions, observed answers, source pages, competitors, actions, and the evidence that changes afterward.

Create your workspace

MonitorBuyer questions across connected AI engines

ExplainExact URLs and competitor presence behind answers

PrioritizeEvidence gaps by context and next action

MeasureMovement over time without pretending causation

Loading evidence

Tracing the source chain.

Preparing the next view without inventing missing results.

Recommendation intelligence for AI discovery

Know what shapes the AI shortlist.

AI answers influence the buying process before a buyer reaches your site. Foremention makes the questions, answers, brands, sources, and changes behind those answers legible to your team.

Create your workspace Explore the platform

Buyer questions
Exact sources
Dated evidence
Clear limits

Recommendation MonitorWorkspace overview

Category intelligence

Buyer questions → observed answers → source evidence

24tracked questions

87source pages

6brand movements

Every signal links back to the date, the answer, and the underlying source.

Source MapNew comparison source detectedEvidence recorded today

MovementCompetitor presence changedReview in workspace

CollectionRun history is completeView answer records

DATEDEvery observation has a time

EXACTSource evidence stays visible

SHAREDYour team owns the workspace

CLEARLimits stay in the product

Recommendation intelligence, made practical

Understand what shapes the AI shortlist.

Foremention gives your team a durable system for investigating the answers buyers see—without turning uncertainty into a promise.

Collect

Turn the questions that shape purchase decisions into an organized monitoring system.

Explain

Connect answers to the exact source pages and brands visible behind them.

Decide

Prioritize the evidence gaps worth acting on and track the movement that follows.

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

One workspace, not another report

From question to source to change.

The Recommendation Graph is a living record of buyer questions, observed answers, source pages, competitors, actions, and the evidence that changes afterward.

Create your workspace

MonitorBuyer questions across connected AI engines

ExplainExact URLs and competitor presence behind answers

PrioritizeEvidence gaps by context and next action

MeasureMovement over time without pretending causation

Know what shapes the AI shortlist.

Understand what shapes the AI shortlist.

Collect

Explain

Decide

See the evidence behind the answer.

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

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

From question to source to change.

Tracing the source chain.

Know what shapes the AI shortlist.

Understand what shapes the AI shortlist.

Collect

Explain

Decide

See the evidence behind the answer.

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

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

From question to source to change.

Infrastructure your team can grow into.

Evidence, limits, and uncertainty stay visible.

Understand it in five minutes.

See what is shaping your category in AI.