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Use cases

AI visibility use cases

From tracking how AI engines mention your brand to building action plans that improve your visibility — explore workflows you can run with your own tools and the free AI-readiness check.

Quick answer

AI visibility work splits into several workflows depending on your team's priorities. Brand monitoring tracks how AI engines mention and recommend your brand across ChatGPT, Perplexity, Gemini, Claude, and other platforms. Competitive intelligence reveals where competitors appear and you don't. Technical auditing identifies structural blockers preventing AI engines from citing your content. Citation tracking measures which of your pages AI engines actually reference as sources.

All use cases

12 AI visibility workflows

AI Brand Monitoring

Check how AI engines mention, describe, and recommend your brand across the major models.

Baseline of how each engine describes your brand

Repeatable prompt list you can rerun each month

AI Competitive Intelligence

See where competitors appear in AI responses and identify gaps in your AI visibility.

Landscape of which competitors AI engines recommend

Gap list of prompts where competitors appear and you do not

Content Optimization for AI

Structure content so AI engines can extract, cite, and recommend it.

Answer-first page openings that engines can extract

Structured headings, lists, and schema on key pages

Technical AEO Auditing

Identify technical blockers preventing AI engines from discovering and citing your content.

Crawler access confirmed for AI bots in robots.txt

Technical signals checked: sitemap, llms.txt, schema

AI Citation Tracking

Find out which pages AI engines actually cite as sources in their responses.

Citation map of your cited pages by engine and prompt

Quality split between primary and incidental citations

Share of Model Tracking

Measure your brand's share of AI-generated recommendations vs competitors.

Baseline share of mentions per engine and competitor

Segments view by engine and query type

AI Brand Sentiment Monitoring

Review how AI engines describe your brand's strengths, weaknesses, and positioning.

Baseline of how engines frame your brand

Themes grouped from the phrases engines use

From SEO to AEO

Bridge the gap between traditional search optimization and AI engine optimization.

Technical readiness confirmed before content work

Gap list of keywords that rank but are absent in AI answers

AEO Reporting for Agencies

A repeatable AI visibility reporting process for agency client management.

One template reused across every client account

Comparable month-over-month results with a fixed method

AI Hallucination Detection

Spot when AI engines provide inaccurate or outdated information about your brand.

Fact sheet of verified, dated brand facts

4 types of inaccuracy: outdated, fabricated, confused, exaggerated

Prompt Discovery

Find the queries users are asking AI engines about your brand and category.

Query bank of buyer prompts grouped by intent and stage

Real language taken from sales, support, and communities

SERP vs AI Gap Analysis

Identify keywords where you rank on Google but are invisible in AI responses.

Four groups of keywords by SERP and AI strength

Gap list of pages that rank but are absent in AI answers

Free AI-readiness check

Can AI crawlers read and cite your site?

Run the free check to see technical signals: AI crawler access, sitemap, llms.txt, schema markup, and FAQ and comparison pages. It does not read live AI answers. No account needed.

Run the free check What it covers