The AI Visibility Operating System

The complete AI Visibility methodology.

SeenAndCited is not a monitoring tool. It is a full AI Visibility Operating System — nine connected stages, grouped into three commercial phases, that discover opportunities, improve visibility and prove the outcome.

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Phase 1·Discover
Understand the client. Uncover the opportunities. Identify the gaps.
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Phase 2·Improve
Turn evidence into action. Prioritise. Implement. Publish.
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Phase 3·Prove
Measure the work. Prove the outcome. Improve the loop.
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Nine stages. One connected loop. Every phase produces evidence for the next — and every outcome feeds back into the next round of discovery.

Phase 1 · Discover

Understand the client. Uncover the opportunities. Identify the gaps.

Every engagement starts with an evidence-backed picture of the business, how AI currently describes it, what customers actually ask AI, and where authority is being lost to competitors.

Business Discovery

Establish what the business actually is, sells and stands for.

A structured discovery process — reinforced by clarification questions — produces a Business Intelligence Profile that every downstream stage draws on. No generic AEO checklists; recommendations are always grounded in the real business.

Guided business discovery interview
Clarification questions that resolve ambiguity
Business Intelligence Profile with evolution history
Positioning statements and intended brand message

AI Understanding

Measure how AI describes and understands the business today.

See the gap between how the business intends to be positioned and how ChatGPT, Gemini, Claude and Perplexity actually describe it — with Overall Understanding, Brand Message Consistency, an Understanding Breakdown, prioritised Understanding Gaps and a historical timeline.

Overall Understanding score
Brand Message Consistency across engines
Prioritised Understanding Gaps
Historical timeline of how AI perception changes

Prompt Discovery

Discover the prompts real customers ask AI — and who wins them.

Auto-generate the prompts customers actually type into AI, then probe those prompts across engines with repeated sampling. See per-engine whether the business is cited, described, ignored — or whether a competitor is being recommended instead.

Auto-generated customer prompts
Repeated sampling across ChatGPT, Gemini, Perplexity, Claude and DeepSeek
Citation detection and share-of-voice tracking
Competitor recommendation tracking

Authority Discovery

Find the authority and content gaps behind competitor visibility.

Multi-layered authority scoring surfaces the third-party citations, listings, mentions and content structures competitors have that the client does not — with evidence attached to every finding.

Multi-layered authority scoring
Competitor authority benchmarking
Low-authority alerts
Deep-linked authority records with per-record actions

Phase 2 · Improve

Turn evidence into action. Prioritise. Implement. Publish.

Discovery data is only useful if it turns into work that ships. The Improve phase converts every gap into a prioritised, evidence-backed recommendation — with the guidance and publishing tools to actually complete it.

Prioritised Recommendations

One unified, capped queue of the highest-impact next moves.

The AI Action Plan combines AI Understanding gaps, AI Readiness findings, authority actions and content opportunities into a single ranked queue — evidence attached, effort estimated, one click into a task.

Unified AI Action Plan
AI Readiness continuous scoring (Current, Needs Attention, On Hold, Ignored)
Ranked content and citation opportunities
Evidence attached to every recommendation

Workflow & Implementation Guides

Get work from idea to shipped — with real guidance.

Every recommendation can be sent to a task with an owner, status and due date. Each task ships with a 12-section consultant-style Implementation Guide covering scope, evidence, structure, schema, internal links, distribution and measurement — so writers, devs and agencies know exactly what to ship.

Task assignment, ownership and status
12-section Implementation Guides per task
AEO Fix Workflow with copy-ready AI dev prompts
Activity audit trail and AI generation audit

Content Generation & Publishing

Draft, review and publish content built for AI answer engines.

Generate blog posts, knowledge articles and FAQs purpose-built for AI answer engines — clear answers, structured headings, schema-ready output. Human review is required before any content is published; approved drafts push straight to WordPress or Wix.

Content, FAQ and authority-content generation
Human approval workflow before publish
WordPress draft publishing
Wix draft publishing
AI prompt generation for AI website builders

Phase 3 · Prove

Measure the work. Prove the outcome. Improve the loop.

Recommendations are only useful if they move the needle. Every completed action is re-measured against the same evidence base it was recommended from — and those outcomes make the next round of recommendations sharper.

Outcome Measurement

Re-measure every completed recommendation at T+7 and T+30.

Each completed task produces an outcome snapshot and post-mortem showing exactly what moved — AI Understanding, AI Readiness, citations, share of voice or authority. Visibility Reviews summarise wins, threats and opportunities on a repeatable cadence.

T+7 and T+30 outcome snapshots per task
Recommendation success rates by type
Visibility Reviews (wins / threats / opportunities)
Citation, share-of-voice and authority progress reporting

Continuous Improvement

Feed outcomes back into the loop — for the platform and the client.

Ignored actions, replacement prompts, quality feedback and outcome measurement feed back into the recommendation engine. What worked last month informs what gets recommended next month — for this client, and across the platform.

Recommendation quality feedback
Prompt replacement and refinement
AI generation audit and abuse scoring
Live client portal with monthly summaries and notifications
Commercial reporting for agencies

The Delivery Layer

Built to run as a repeatable service.

Around the 9-stage methodology sits everything needed to actually deliver — for a team, for an agency, and for the end client.

Live Client Portal

A branded, live portal per client — continuous visibility into AI Understanding, AI Readiness, recommendations, completed work, outcomes and progress. Replaces static monthly PDF reports.

Teams, Roles & Workspaces

Invite teammates and clients by email, assign granular permissions and share workspaces across sites — with a full activity audit trail.

Reports & Monthly Summaries

Visibility, citation share, authority progress and Recommendation Success reports for stakeholders — plus in-portal monthly summaries and notifications.

Commercial Reporting (Agencies)

Revenue, margin and service-line reporting alongside the AI Visibility work being delivered — so agencies can run AI Visibility as a real service line.

White-Label Delivery

Agency-branded portals, own-domain client portal support and per-client branding — so the operating system feels like part of your agency.

Continuous Monitoring

Scheduled probe re-runs, citation share tracking against named competitors and change alerts — so the loop keeps running between reviews.

Run the complete AI Visibility loop.

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