Short answer
Let the AI search crawlers in, answer the questions buyers ask in plain language on pages you control, mark them up with accurate structured data, earn mentions on trusted third-party sites, and track a fixed panel of questions across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews every month. Nobody can guarantee a citation.
Why AI answers matter for crypto
Similarweb measured an average of 770.7 million AI referral visits per month worldwide between June 2025 and May 2026, up 117.4% year over year; finance reached 19.1 million average monthly visits, up 236.5% (Similarweb, 3 September 2026). Similarweb also notes that referral counts understate AI's influence, because visits without referrer data land in direct traffic. Blokhaus' State of Crypto Marketing 2026 puts it as advice: "Build for the AI citation layer" (Blokhaus).
For a token or protocol, the questions that matter are simple: what is it, is it legit, how does it compare, how do I buy or use it. If assistants cannot read your site, they answer from whatever else they find.
1. Access: let the right crawlers in
Each assistant documents its own crawlers, and search and training crawlers are separate choices.
| Company | Crawler | Used for (per the company) | Source |
|---|---|---|---|
| OpenAI | OAI-SearchBot | Surfacing websites in ChatGPT search; sites opted out are not shown in ChatGPT search answers | OpenAI docs |
| OpenAI | GPTBot | Crawling content that may be used to train foundation models | OpenAI docs |
| Perplexity | PerplexityBot | Surfacing and linking websites in Perplexity search; not used for foundation model training | Perplexity docs |
| Anthropic | Claude-SearchBot | Improving search result quality; disabling it prevents indexing for search | Anthropic help |
| Anthropic | ClaudeBot | Collecting content that could contribute to model training | Anthropic help |
| Googlebot | Google Search, including AI Overviews and AI Mode, which have no additional requirements | Google Search Central |
- robots.txt allows the search crawlers you want, and your sitemap is listed in it.
- Your CDN, firewall or hosting security does not rate-limit or block those crawlers. Test with the crawler's user agent: a 403 or 429 on HTML pages means the crawler cannot read them, whatever robots.txt says.
- Key content is in the HTML, not only rendered by JavaScript or hidden behind wallet connects and cookie walls.
- Docs, whitepaper and token pages are reachable without login and not blocked for bots.
2. Clarity: answer-first pages
- A one-paragraph definition of the project that you repeat consistently on the site, in docs and in profiles.
- Pages that answer the real questions directly in the first two or three sentences: "What is [token]?", "How do I buy [token]?", "Is [project] audited?", "[project] vs [competitor]".
- Facts with dates and sources: audits, contract addresses, supported chains, listing venues, team and legal entity.
- A visible "last updated" date, and updates after every material change such as a listing, an upgrade or a migration.
- No hype claims or price talk: assistants and users both read it.
3. Structure: schema, sitemaps, llms.txt
- Structured data that matches the visible page: Organization, WebSite, Article, FAQPage and BreadcrumbList where they fit. Google describes structured data as "a standardized format for providing information about a page and classifying the page content" (Google Search Central).
- An XML sitemap with every important page, and pings to search engines on updates. IndexNow lets sites notify participating search engines about changed URLs (IndexNow).
- An /llms.txt file: a proposed standard by Jeremy Howard for a markdown file that helps agents use a website (llmstxt.org). It is a proposal, so treat it as a helpful summary, not a ranking factor.
- Clean headings, tables for comparisons and short paragraphs. They are easier to quote accurately.
4. Evidence: third-party mentions
- Accurate profiles on the data sites and directories your category uses, with the same definition and links.
- Earned coverage, research mentions and partner pages that describe the project correctly.
- Creator videos and community content that explain the product; ask creators to link to the canonical pages.
- Corrections: when an assistant repeats an error, find the source page it relies on and get it fixed.
5. Measurement: a query panel template
Pick 15 to 30 questions, run them on the same engines every month, and log the results in a sheet like this one. Keep the questions fixed so the trend is meaningful.
| Question | Engine | Mentioned? | Cited URL | Position | Accurate? | Others named |
|---|---|---|---|---|---|---|
| What is [token]? | ChatGPT | yes / no | yes / no | |||
| Is [project] legit? | Perplexity | yes / no | yes / no | |||
| [project] vs [competitor] | Gemini | yes / no | yes / no | |||
| How to buy [token] | Google AI Overviews | yes / no | yes / no | |||
| Best [category] for [use case] | Claude | yes / no | yes / no |
Add AI referral sessions from your analytics (referrers such as chatgpt.com, perplexity.ai, gemini.google.com and claude.ai) and the conversions they bring. Re-run the panel before and after launches; it is part of the TGE and listing checklist and the post-listing plan.
Sources
- Similarweb, "AI Referral Traffic by Industry", 3 September 2026. similarweb.com
- Blokhaus, "State of Crypto Marketing 2026". blokhaus.io
- OpenAI, "Overview of OpenAI crawlers", checked 6 October 2026. platform.openai.com
- Perplexity, "Perplexity crawlers", checked 6 October 2026. docs.perplexity.ai
- Anthropic, crawler help article, checked 6 October 2026. support.claude.com
- Google Search Central, "AI features and your website", checked 6 October 2026. developers.google.com
- Google Search Central, "Introduction to structured data markup". developers.google.com
- IndexNow. indexnow.org
- llms.txt proposal. llmstxt.org