Crawl access
Optimised directives and clean visibility for the leading AI crawlers, so models can reach your content.
robots · llms.txt · render
SEO & AI SEARCH AGENCY · TECHNICAL B2B SAAS
See where your brand is absent or misrepresented across Google and AI search. Citable turns that evidence into prioritised decisions, bounded implementation and a measurable operating roadmap.
FREE DIRECTIONAL CHECK · EXPERT DIAGNOSE · BOUNDED IMPLEMENTATION
FREE · NO EMAIL · SCORE IN ~10 SECONDS · SHAREABLE PERMALINK
See how Diagnose, Build and Operate workMonitoring across
Citation ≠ recognition
A citation shows which source supported an answer. A mention puts the brand in the answer itself. Citable measures both—then traces the technical, entity, topical and third-party evidence gaps behind the difference.
“Which providers are a strong fit for this use case?”
AI answer
Teams often shortlist Provider North and Provider Field for their specialist workflows, integration depth and documented support model.[3]
yourbrand.com
A practical guide to choosing a provider
Your page supports the answer.
Your name never reaches the answer text.
Citable's operating response
Track citations, mentions and narrative accuracy across a defined query panel.
Inspect crawl, identity, extractability, third-party trust and the delivery layer.
Implement the approved technical or content change, then rerun the same panel.
A dashboard can show the gap. Citable can trace a technical cause through the delivery layer—and ship the bounded fix.
See how Diagnose measures bothMethod
The free checker turns ten observable structural signals into a 0–100 orientation score. It shows where machine readability may be weak; it does not claim to measure cross-surface visibility or prove why an external system cites a brand.
THE CITE FRAMEWORK
CITE organises Crawl, Identity, Trust and Extractability. Diagnose adds the query, competitor, source and narrative evidence the structural check cannot observe.
Optimised directives and clean visibility for the leading AI crawlers, so models can reach your content.
robots · llms.txt · render
Verifiable structured data and entity grounding across knowledge graphs — so a model knows which brand you are.
schema · entity graph
The third-party citations, mentions and authority signals that make a model confident to name you.
Mentions 0.664 · backlinks 0.218 — Ahrefs, 75k brands
Content structured so a model can lift a clean, quotable, accurate answer about your brand.
On-page structure
How an engagement runs — Diagnose → Build → Operate
Full methodologyDefine the commercial query panel and relevant surfaces, interpret visibility, narrative, competitor and source gaps, and prioritise the decision.
→ Artifact · Evidence base and roadmap
Turn approved priorities into bounded technical, editorial, entity, authority or measurement workstreams with owners and acceptance criteria.
→ Artifact · Implemented foundations
Maintain the roadmap and evidence panel, prioritise experiments, issue tickets, coordinate dependencies, apply QA and report decisions.
→ Artifact · Operating cadence and decision record
CHECK 01
Organization JSON-LD with sameAs pointers AI engines parse to resolve your brand as an entity.
CHECK 02
robots.txt allows GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot.
CHECK 03
Person schema with sameAs pointers — authors recognised as Knowledge Graph entities lift the whole domain.
CHECK 04
Encyclopedic article — corpus signal AI engines weight heavily on entity trust.
CHECK 05
Linked-data entity with verified sameAs pointers across the open web.
CHECK 06
Recognised as a distinct entity in Google's brand-knowledge layer.
CHECK 07
dateModified within 60 days — half of Perplexity's citations point to content published this year.
Source: Seer Interactive, 2025CHECK 08
Stat-bearing patterns per page — Princeton GEO research: adding statistics lifts citation visibility 30–40%.
Source: Aggarwal et al., KDD 2024CHECK 09
Trustpilot, LinkedIn, GitHub — branded mentions correlate 0.664 with AI Overviews visibility; backlinks just 0.218.
Source: Ahrefs · 75k brands, 2025CHECK 10
Root manifest for AI agents — tracked as a hedge; not a confirmed ranking signal today.
The 0–100 ladder
0–39
Invisible
AI engines cannot reliably surface your brand. Foundational structural work needed before targeted GEO investment makes sense.
40–59
Citation gaps
AI engines find you sometimes. Critical signals are missing or noisy. Targeted fixes can lift you into reliable citation range fast.
60–74
Patchy presence
You appear in some answers but lose to competitors on key prompts. The structural foundation is there — sharpen it.
75–89
Solid baseline
You are reliably citable across the major AI engines. Remaining work is fine-tuning entity disambiguation and content depth.
90–100
Citation-ready
Strong AI readiness across all ten structural signals. You are in the top tier of citation candidates for your category.
Score updates each time a domain is rechecked. We treat the band as the strategic signal — the number is just where you sit inside it.
Diagnose · Build · Operate
The checker gives you a directional technical signal. The AI Search Opportunity Audit adds expert research, interpretation and a prioritised 90-day roadmap.
Establish where the brand is visible, absent or misrepresented and which gaps deserve investment.
Defined evidence panel · Competitor and source map · Prioritised roadmap
Convert approved priorities into bounded implementation workstreams with owners and acceptance criteria.
Technical foundations · Content and entities · Authority and measurement
Run AI Search as an ongoing product-and-operations function across content, web, product and engineering.
Roadmap and backlog · Tickets and coordination · Governance and reporting
Assess structured product and service data, feeds and APIs for agent-mediated discovery and action.
Emerging capability · Diagnose-led · Use-case dependent
Choose a Baseline Review for orientation, Opportunity Audit for a decision-ready roadmap, or Program Audit for operating design. Implementation is scoped separately.
AI Search Opportunity Audit · diagnosis + prioritised roadmap
Other audit levels
Three ways to work with us
AI Search is a product-and-operations function built on SEO—not a standalone content tactic.
01
Define the evidence panel, map visibility and narrative gaps, and prioritise what matters.
A decision-ready roadmap
Compare audit levels02
Turn approved priorities into bounded technical, editorial, entity, authority or measurement workstreams.
Shipped foundations
See the engagement model03
Own the roadmap, backlog, tickets, dependencies, governance, QA and executive reporting cadence.
A managed operating loop
Discuss operating fitMeasurement, implementation and operations — connected by one roadmap.
How Citable is different
The hiring market shows that AI Search work spans measurement, technical SEO, content, entities, sources and cross-functional operations. Citable connects those workstreams without pretending one dashboard or tactic controls the answer.
Swipe to compare →
| Capability | Citable | DIY | Trad. SEO | SaaS Tool |
|---|---|---|---|---|
| Live AI engine monitoring | ||||
| Schema + entity graph deployment | ||||
| Editorial + technical ticket design | ||||
| Operator-tone, no jargon | ||||
| Audit-to-implementation pipeline | ||||
| Visible fixed audit pricing |
Frequently asked
Citable is an SEO and AI Search agency for technical B2B SaaS teams. We diagnose visibility and narrative gaps, build approved SEO and GEO foundations, and operate the roadmap, backlog, tickets, governance and reporting cadence.
No. Citable Agency (citable.agency) is an independent SEO and AI Search services agency founded in Tarragona, Spain, in 2026 by Elizabeth S. The Boston software company at getcitable.com and the CITABLE content framework by Discovered Labs are separate entities. Citable Agency sells human research, implementation and operations—not their software or framework.
No. SEO remains the technical, content and authority foundation. AI Search adds new surfaces, query panels, citation and source analysis, narrative accuracy, experimentation and governance.
Generative Engine Optimization is a specialist discipline within the wider SEO and AI Search category. It focuses on how information is retrieved, cited and represented in generative answers.
No. Models, retrieval systems and answers change. Citable controls the rigor of the diagnosis, implementation, experiments and reporting—not the output of an external AI system.
Choose Baseline Review (€1,800) for orientation, Opportunity Audit (€3,800) for a prioritised 90-day roadmap, and Program Audit (€5,400) when you also need governance and operating design. Opportunity is the recommended starting point for most qualified teams.
Approved priorities can move into a bounded Foundations Sprint or an ongoing operating program. Build and Operate are scoped separately around workstreams, owners, dependencies and acceptance criteria.
Operate can maintain the evidence panel and roadmap, prioritise an experiment backlog, produce editorial and technical tickets, coordinate agreed dependencies, apply governance and QA, and report decisions and uncertainty to stakeholders.
It is an emerging, use-case-dependent capability covering structured product and service data, feeds and APIs for agent-mediated discovery and action. Citable assesses it during Diagnose; it is not a standalone launch service or implementation promise.
The checker provides a limited automated view of structural readiness. Use it for orientation. It is not a cross-surface visibility baseline, expert audit, implementation roadmap or proof of business impact.
Your SEO report can look healthy while AI answers omit your brand, confuse the facts or rely on stronger third-party sources.[1]
SEO IS THE FOUNDATION. AI SEARCH ADDS A NEW EVIDENCE LAYER.
[1] Measure before you optimize.
› What evidence should we use to compare providers?
"The available sources describe your brand [1] with consistent facts, clear differentiation and verifiable evidence."
[1] Source · yourbrand.com — structured facts, clear ownership, dated evidence
Use the free check for a directional signal. Start Diagnose when you need expert interpretation and a bounded decision.
Already done it? Compare audit levels
Already have a validated roadmap? Discuss Build or Operate