Make your brand citable
The intelligence platform for brands that need to be cited by Generative AI. Measure your visibility in ChatGPT, Perplexity, Gemini, and AI Overviews — then close the gaps.
Monitoring across
Numbers that mean something
No vanity metrics. Outcomes from real engagements.
AI Citation Lift
+340%
Median Share-of-Answer growth across 50+ engagements
AI Engines Monitored
12
ChatGPT · Perplexity · Gemini · AI Overviews · Claude · Bing Chat · You.com · Brave · Phind · Komo · Andi · Felo
Brands & Domains Audited
180+
Series A → Fortune 500 across SaaS, fintech, and prosumer
Methodology
Measure → Repair → Compound
Measure
We run 50 brand-relevant prompts across ChatGPT, Perplexity, Gemini, and AI Overviews. You get a baseline Share-of-Answer per engine, per prompt cluster.
Repair
Schema, llms.txt, entity graph, sameAs sources, content rewrites. We close the structural gaps that prevent AI engines from citing you confidently.
Compound
Monthly re-checks track lift over time. Every shipped fix is attributable to a specific score delta — no vanity metrics, no SEO theater.
Programs
Three ways we engineer visibility
Pick one or stack them. Each delivered as a fixed-scope engagement, not a retainer.
GEO Optimization
Generative Engine Optimization. We model what makes AI engines cite a brand as the primary authority — then engineer that into your site.
- Citation modeling per engine
- Entity graph repair
- Content reframing for AI
Technical SEO
Search excellence reframed for the semantic web. Schema, Core Web Vitals, crawl budget, and AI-Overview-ready structured data.
- JSON-LD audit + deploy
- Crawl + index health
- AI Overview eligibility
Web Development
Astro/Next.js builds tuned for AI ingestion. Performance budget, accessibility, structured data baked in from day one.
- Astro 5 + Vercel ship
- Schema-first architecture
- Lighthouse 95+ target
Why Citable
vs. doing it yourself
| Capability | Citable | DIY | Trad. SEO | SaaS Tool |
|---|---|---|---|---|
| Live AI engine monitoring | check_circle | cancel | cancel | check_circle |
| Schema + llms.txt deployment | check_circle | remove_circle | remove_circle | cancel |
| Bilingual EN + ES native | check_circle | cancel | remove_circle | cancel |
| Operator-tone, no jargon | check_circle | cancel | cancel | cancel |
| Audit-to-implementation pipeline | check_circle | cancel | check_circle | cancel |
| Transparent pricing from €1,200 | check_circle | cancel | cancel | check_circle |
Pricing
From €1,200. No retainers. Fixed scope.
The standalone AI Visibility Audit is €1,200 (50 prompts × 4 engines, 5 working days). Full implementation engagements published transparently — no anchoring, no haggling.
AI Visibility Audit · 50 prompts × 4 engines · 5-day turnaround
- Baseline Share-of-Answer per engine
- 6-check structural readiness scorecard
- Prioritized fix list with effort × impact
- 30-min walkthrough call
From the Journal
GEO field notes
GEO Playbook · 9 min
How to appear in Google AI Overviews
The 7 structural signals AI Overviews use to pick a citation — and the 3 most teams miss.
Read articleTechnical · 12 min
Technical SEO checklist for AI search
From llms.txt to entity sameAs: the audit framework we ship to every client engagement.
Read articleCase Study · 7 min
Invisible to cited in 90 days
How a Series-B SaaS went from zero AI presence to first-pick on Perplexity for category prompts.
Read articleFrequently Asked
What teams ask before they engage
How does AI citation actually work?
Generative engines like ChatGPT, Perplexity, Gemini, and Claude assemble answers from a mix of training data and real-time retrieval. They cite brands when three conditions are met: (1) the brand is recognized as an entity in Knowledge Graph / Wikidata, (2) the brand site exposes structured signals (Schema.org, llms.txt, clean robots), and (3) the answer pattern they're synthesizing matches your authority area. We engineer all three.
Is this different from regular SEO?
Yes — different surface, overlapping primitives. SEO ranks links in a list. GEO (Generative Engine Optimization) optimizes for being cited inside a synthesized AI answer. The technical foundations (schema, crawl, content quality) overlap. The measurement diverges entirely: instead of SERP position, we track Share-of-Answer per prompt across multiple AI engines.
What results can I expect in 30 days?
Schema and entity-graph fixes typically produce measurable Share-of-Answer movement within 30–60 days. Content rewrites compound over 60–90 days. Every engagement starts with a documented baseline so improvement is trackable, not estimated.
How much does it cost?
The standalone AI Visibility Audit is €1,200 (50 prompts × 4 engines, 5 working days). Implementation engagements typically run €4–12k/month depending on scope. Full transparency at /pricing. No retainers, no minimums.
Do you work in Spanish and English?
Yes — natively in both. ES + LATAM + UK + US markets. Native authors, not machine-translated. Every audit and report is delivered in the client's market language.
Do you provide API access for agencies?
Yes. Agency partners can white-label Citable's audit and implementation work via the partnership program. Email hello@citable.agency for terms.
What's the free AI Readiness Checker for?
Heuristic check of the 6 structural signals AI engines use to decide whether to cite your brand: schema markup, AI crawler access, llms.txt, Wikipedia presence, Wikidata sameAs, and Google Knowledge Graph. Instant, free, no email gate. Try it from the search bar above. The full Audit (50 prompts × 4 engines, €1,200) goes deeper.
Ready to be cited by AI?
Two paths in. Free check tells you where you stand in 10 seconds. Paid audit tells you exactly what to fix, with a baseline you can measure forward from.
Talk to a human first? hello@citable.agency