From keywords to buyer questions: how CiteLadder builds AI search prompt portfolios
A useful AI-search prompt portfolio represents real buying decisions, not every question a model can invent.
Read articlePractical guides to AI visibility.
How to build a baseline, trace the sources behind an answer and check that your website can be read. Start with the question your team is asking.
From keywords to buyer questions: how CiteLadder builds AI search prompt portfolios
A useful AI-search prompt portfolio represents real buying decisions, not every question a model can invent.
AI Search PromptsRead article
Internal linking with Jev: how CiteLadder finds contextual link opportunities
Internal linking is a decision problem before it is a writing problem: which related page would help this reader next?
Internal LinkingRead article
Building an owned evidence system for AI search
Connect crawl evidence, search demand, referral traffic, crawler policy, and controlled answer observations without pretending they measure the same thing.
AEO FoundationsRead article
How to audit a website for AI search readiness.
Check the page a visitor or crawler can access before changing the copy. Work through technical and content evidence in a clear order.
Website readinessRead article
How to turn AI citation findings into useful website improvements.
Read the source, identify the missing answer and choose a defensible next step. A practical workflow for investigating AI citation opportunities.
CitationsRead article
Start with the question you have.
Three guides cover the questions most teams ask first.
- Measure visibilityLearn what to count, how to keep observations comparable, and why a visibility percentage needs a clear denominator.
- Investigate citationsTurn a cited source into a specific research task. Check relevance, factual accuracy and the pages a buyer would find useful.
- Check website readinessWork through access, indexing, content clarity and evidence before assuming that a missing citation is a writing problem.
Research guides
Long-form references on measuring AI visibility and tracking citations, each with its sources.
- What Is Generative Engine Optimization (GEO)? The Complete GuideLearn how generative engine optimization works, how it differs from SEO, and how to improve and measure your visibility in AI answers.
- How to Check Your Brand's AI VisibilityCheck whether AI answers mention, cite or recommend your brand. Follow a repeatable audit with prompt examples, metric definitions and a reporting template.
- AI Citation Tracking: How to Track and Analyse Citations in ChatGPT, Gemini and ClaudeHow AI citation tracking works, what a citation tracker should measure, and what 249 real citations from ChatGPT and Claude show about competitor sources.
- How to Improve Your Brand's AI Visibility in ChatGPT, Gemini and AI SearchImprove AI visibility by fixing access, answering buyer questions, strengthening evidence and tracking the right outcomes. Includes a prioritisation workflow.
- Best AI Visibility Platforms and AEO Tools in 2026: ComparedCompare AI visibility platforms by workflow, evidence, coverage and pricing structure. See which tools to shortlist and what to verify before buying.
- GEO vs SEO: Is Generative Engine Optimization Better Than SEO?Compare GEO and SEO by goals, work, metrics and business value. Learn when to prioritise AI visibility and when search fundamentals should come first.
- How Accurate Are AI Citations? ChatGPT, Gemini and AI Search ExplainedAI citations can link to real pages and still be wrong. Compare what accuracy studies actually measure and learn how to verify a citation step by step.
- Will AI Replace SEO? What AI Search Actually ChangesAI is changing search traffic and SEO work, but replacement is the wrong single question. Examine the evidence and what website owners should do next.
- Can ChatGPT Find Citations? How AI Citation Discovery Actually WorksUse ChatGPT to discover sources without trusting invented references. Learn when to use search, how to verify a DOI, and how discovery differs from tracking.
- Open Source AI Visibility Tool: Self-Hosted LLM Tracking with CiteLadderCiteLadder is an AGPL-3.0 AI visibility tracker you can self-host. What is open, how to run it with Docker, and what the licence asks of you.
- Profound Alternatives in 2026: Ten AI Visibility Tools ComparedProfound dropped its self-serve plans in September 2026. Compare ten alternatives by entry price, engines and evidence, with dated official sources.
- LLM Rank Tracker: Track Brand Position in ChatGPT, Claude, Gemini and AI OverviewsWhat an LLM rank tracker measures, how position inside an AI answer is defined, why one answer is not a rank, and how to set up tracking you can defend.
- How to Track Brand Mentions in ChatGPT: A Step-by-Step MethodA step-by-step method to track what ChatGPT says about your brand: buyer prompts, repeated runs, a logging template, GA4 referrals and OpenAI crawlers.
- AI Search Market Share in 2026: ChatGPT, Gemini, Claude and Google AI OverviewsChatGPT leads AI search, but its share runs from 46% to 80% depending on the yardstick. Compare visits, referrals, users and survey data for 2026.
- AI Referral Traffic Statistics 2026: What the Public Datasets Actually ShowHow much traffic does AI search send? We compare Ahrefs, Semrush, StatCounter, Adobe and peer-reviewed data on size, growth, conversion and crawling.
- How Often Do Google AI Overviews Appear? AI Overviews Statistics for 2026How often Google AI Overviews appear, what they do to clicks and who gets cited, compared across Pew, Semrush, Conductor, BrightEdge, Seer and Ahrefs data.
- Ads in AI Answers: What ChatGPT Ads and Google AI Mode Ads Mean for Brand VisibilityWhere ads appear in ChatGPT, AI Overviews and AI Mode in 2026, how often they show, why estimates differ, and how to keep paid and organic visibility apart.
- Agentic Commerce Statistics 2026: What the Data Says About AI ShoppingSourced 2026 data on agentic commerce: AI referral growth, conversion, in-chat checkout results, Google UCP and OpenAI changes, with methods explained.
Put the method into practice.
See how CiteLadder brings answer observations, source analysis and website findings into one workflow.