How to Get Cited by AI Search Engines: 5 Steps for ChatGPT, Perplexity and Google

Why AI citation is different from Google ranking

Getting cited by AI tools requires building entity authority across third-party sources — not optimising your website. According to Semrush research from January 2026, 85% of AI brand citations come from third-party sources rather than a brand's own website. Reddit, LinkedIn, and Wikipedia account for more than 30% of all LLM citations combined.

AI tools do not crawl links. They build entity models from structured knowledge bases. Getting cited means being a verifiable, authoritative entity in the sources those models trust. Here is the five-step process.

What our measurements show about getting cited

We ask six AI engines the same buyer questions every week in each category we measure, and keep every answer. Three findings shape the steps below.

Being named is not being cited. In one complete payments scan, Stripe was named in 88 of 115 answers, but its own website was used as a source in 39. The engines knew the brand without reading its pages. Getting cited means being the page an engine retrieves when it does search.

Each engine cites different sites. Across two B2B categories, ChatGPT shared only 12 to 29% of its cited source domains with Claude, Gemini and Perplexity (the research). Being cited on one engine says little about the others.

Some answers cite nothing. Claude answered 5 of 11 payments questions from memory in every run, so no website could be cited (the research). For those answers, what counts is how your company is described in the sources the model learned from. How engines pick the pages they do cite: how AI chooses which sources to cite.

Step 1: Establish your Wikidata entity

Wikidata is the structured knowledge base that Google's Knowledge Graph and major AI platforms query to resolve brand identity. Creating a Wikidata record for your business — with accurate properties, external identifiers, and relationship links — is the single highest-leverage GEO action for most businesses.

AI tools that can verify your entity via Wikidata are significantly more likely to cite you. The record needs accurate properties: legal name, website, founding date, industry category, location, and links to LinkedIn, Crunchbase, and other external identifiers. Wikidata entry is guaranteed for businesses with basic online presence. Wikipedia article is pursued where notability standards are met.

Step 2: Implement schema markup

JSON-LD schema markup makes your content machine-readable. For AI citation purposes, the essential schema types are Organization (entity identity), Article or BlogPosting (content attribution), FAQPage (Q&A extraction), HowTo (process content), and Person (author authority).

Pages with comprehensive schema markup are cited 2.5 to 2.7 times more often than equivalent pages without structured data, according to BrightEdge research from early 2026. The most-skipped field is dateModified — AI tools bias toward fresh content. Keep it current.

Step 3: Build third-party citation presence

The most-cited third-party sources for AI tools are Reddit (11.29%), LinkedIn (10.37%), and Wikipedia (9.93%). Building genuine presence in these channels creates the citation network AI tools use to verify authority. This means active participation in relevant subreddits, consistent LinkedIn publishing on GEO and AI visibility topics, and editorial mentions in publications AI tools trust.

This is not a one-time task. Third-party citation presence compounds over time. A business that consistently publishes on LinkedIn, contributes genuinely to Reddit communities, and earns editorial mentions accumulates authority signals that continue paying out in citations for years.

Step 4: Structure content for AI extraction

AI tools extract and cite discrete answer blocks — self-contained paragraphs of 40-60 words that answer a specific question. Structuring content with direct answers, clear heading hierarchies, FAQ sections, and comparison tables makes it significantly easier for AI systems to extract and cite accurately.

Every section of a well-optimised page should be independently citable. Write paragraphs that stand alone as complete answers. Use FAQ sections for common questions in your category. Include original statistics and comparison tables — these are cited at four times the rate of standard prose.

Step 5: Measure your Share of Model Score

A Share of Model Score baseline requires running 50 or more priority queries across all major AI platforms and recording citation frequency. This establishes where you currently stand. Monthly tracking shows whether your GEO programme is moving the number.

Without measurement, GEO is guesswork. A free AI visibility audit from Cited establishes your baseline across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews within 48 hours. No call required. Once you have a baseline, see how long GEO takes to show results for a realistic stage-by-stage timeline.