Optimly · Example report

See what AI says.
Know what to do next.

A real look at Optimly’s AI Visibility report and the recommendations it generated.

01 · Understand the answers

AI Visibility

The app’s Summary screen, with its Question Analysis and Sources tabs. The capture below is static.

Optimly AI Visibility report v2: low visibility, medium positioning strength, low endorsement strength; partial provider coverage.
OPTIMLY Report v2 · October 20, 2026

What the report found

Optimly is understood well once it is named: the judged branded answers consistently identify its audience, products, pricing, measurement role and distinction from similarly named companies. That recognition does not yet transfer to generic buyer and category questions, where models explain the relevant workflows or name other vendors rather than connect those needs to Optimly. The Brand Index concept is the clearest early exception.

The most material limitation is coverage: provider failures removed a substantial set of cells, including the Gemini results, so this run cannot establish how that model perceives Optimly. Endorsement is also absent in the evaluated generic buying contexts, even where the underlying problem description closely matches Optimly’s capabilities.

Visibility — Low · 2 of 28 unbranded answers mention you.

Positioning Strength — Medium · Your alignment score was 45%.

Endorsement Strength — Low · 0 of 28 unbranded answers recommended you.

Partial data — excluded: 22 failed cells (provider errors). These results reflect the questions and available models tested, not all AI conversations.

02 · Act on what you learn

Recommendations

Three actions generated from report v2. In the app, each opens in a detail panel with the action, reasoning and suggested copy.

Optimly Recommendations screen with REC-1 open, showing its action, reasoning and suggested copy.
OPTIMLY 3 recommendations · Report v2

Created October 20, 2026 · All three were To do when captured. Details below are excerpts from the generated recommendations.

REC-1 · report v2
Publish a transparent AI brand comprehension measurement methodology and sample report
Medium effort · To do

What to do

Create a crawlable methodology page and downloadable/sample report that explains exactly how Optimly tests AI answers against approved brand information: question selection, models tested, answer review, description-accuracy assessment, recommendation-frequency measurement, dates, and sample size.

Why we recommend this

On unbranded questions about measuring whether AI recommendations reflect a company’s offerings, benchmarking answers against approved facts, and auditing AI descriptions, the answers often describe a source-of-truth-and-testing process that maps to Optimly’s offer without naming it. Branded answers show models can explain Optimly accurately.

Suggested copy

Optimly measures how AI models describe and recommend your brand by testing defined questions across models and comparing observed answers with owner-approved brand information. Reports show the questions, models, dates, sample size, answer evidence, description accuracy and recommendation frequency. Measurement reveals what was observed; it does not guarantee retrieval, citation, recommendation or revenue.
REC-2 · report v2
Publish Brand Index retrieval and provenance documentation for agent builders
Medium effort · To do

What to do

Publish a dedicated technical explainer for Brand Index aimed at developers and agent builders. Show how agents discover and retrieve structured brand information, what fields a record contains, and how sourced information differs from an owner-reviewed and published BrandVault record.

Why we recommend this

The generic question about retrieving structured, verified business information did not connect the need to Optimly, and answers instead pointed to broad APIs, directories, and general authoritative sources. Yet the generic “brand index for AI agents” question did identify Optimly with strong alignment.

Suggested copy

Brand Index helps AI agents discover and retrieve structured brand information. Records distinguish information sourced from public materials from information reviewed and published by a verified owner in BrandVault. This gives agents useful provenance when they need current business context, without treating publication as a guarantee of any model’s future response.
REC-3 · report v2
Publish a claim-to-publish BrandVault walkthrough for owner-approved brand records
Low effort · To do

What to do

Create a practical walkthrough that follows a brand from claiming a record through ownership verification, preparing updates to facts, products, pricing and positioning, owner approval, and publication. Make the free starting point clear, and show what an approved record does and does not do for AI agents.

Why we recommend this

Generic questions about free owner-controlled profiles, verifying ownership and publishing updates, and publishing an owner-approved record produced conceptually related answers but no Optimly mention.

Suggested copy

With BrandVault, a brand owner can claim its record, verify ownership, prepare updates to facts, products, pricing and positioning, and publish only after approval. BrandVault is free to claim and publish. An approved record makes current owner-reviewed information available to AI agents; it does not guarantee that every agent will retrieve, cite or recommend it.

Recommendations are generated suggestions for review, not completed work or promises of improved ranking or retrieval.