AI visibility improvement system

Prove where AI ignores your brand. Then improve it.

MentionProof measures how answer engines mention your company, explains why competitors win citations, generates the assets needed to close the gaps, and tracks whether visibility improves after your team publishes.

Start improving AI visibility View platform

Measure AI answer visibility

Find why competitors are cited

Create assets from real gaps

Track improvement over time

AI Visibility Audit

Botfy overview

Live run

ObserverSourcesStudioImpact

Baseline SOV

42%

Current SOV

53%

Movement

+11%

Source graph

g2.com76%

capterra.com54%

company site31%

Recommended asset

Comparison page for high-intent prompts where competitors appear first.

Studio draft

Draft ready for review, publishing, and verification.

Impact loop

Studio asset published for a high-intent comparison gap.

Impact Tracker compares the next audits against the original baseline.

Platform

Built for teams that need evidence, execution, and proof of movement.

A one-off LLM prompt tells you what one model said once. MentionProof gives you repeatable research, source evidence, competitor context, Studio execution, and a measurement loop that shows whether your actions are changing AI answers.

Observer

Run structured research across answer engines to see when your brand appears, where it is absent, and which sources shape the answer.

Reports

Turn raw prompt runs into executive visibility snapshots, source maps, competitor comparisons, and missed-answer analysis.

Action Center

Translate weak coverage into prioritized recommendations tied to the exact prompts, engines, and citation patterns that exposed the gap.

Studio

Generate the assets your team needs to improve AI discoverability: outlines, llms.txt drafts, profile copy, schema, and PR pitches.

Impact Tracker

Compare baseline visibility against future audits so teams can see whether published work is improving AI answer inclusion.

Executive Proof

Package visibility movement, competitor displacement, and shipped remediation work into reports leadership can understand.

Studio

The difference is not only knowing the gap. It is creating the fix.

Studio turns audit evidence into the assets that can influence future AI answers: clearer source pages, structured brand copy, comparison content, llms.txt guidance, and publishing briefs.

Try Studio workflow

Studio brief generated from audit evidence

“Botfy is absent when buyers ask for WhatsApp automation tools with CRM routing. Create a comparison asset that explains integrations, routing logic, support handoff, and implementation time.”

llms.txt guidance

Comparison page outlines

Brand profile copy

Schema recommendations

PR pitch angles

FAQ and source expansion briefs

Workflow

From unknown AI visibility to a measurable improvement loop.

Measure your baseline against competitors

Identify source, content, and citation gaps

Create publishable assets in Studio

Rerun audits and prove what improved

Continuous improvement

Show the board what changed after the work shipped.

MentionProof tracks baseline visibility, Studio output, published assets, and later audit results in one loop. That is how teams move from “AI mentioned us once” to a defensible trend.

Baseline

42%

Starting share of voice

Published fixes

Studio assets shipped

Movement

+11%

Visibility lift after audits

Pricing

Start with a baseline. Upgrade when you are ready to improve the result.

Free gives you a clean baseline without Studio. Paid plans unlock Studio assets, higher research volume, larger competitive sets, and impact tracking.

Prices in EUR. Secure checkout with Stripe.