Advisory
AI Search Optimization (LLM citation engineering)
Get cited correctly by ChatGPT, Claude, Perplexity, Gemini. Two-week sprint.
What it is
Two-week sprint to make your brand citable by LLM-powered search (ChatGPT, Claude, Perplexity, Gemini, Bing Copilot). Deliverables: comprehensive llms-full.txt + llms.txt files, brand-disambiguation page, structured data audit, AI-crawler robots.txt allowlist (19 AI crawlers including ClaudeBot, GPTBot, OAI-SearchBot, PerplexityBot), citation testing across 4 LLMs to verify correct attribution.
What you get
- llms-full.txt — comprehensive 5,000–10,000 word brand-context document for LLM ingestion
- llms.txt — concise canonical context document
- Brand-disambiguation page (we ship this for ourselves at /vs)
- Structured-data audit + JSON-LD recommendations
- robots.txt audit + AI-crawler allowlist (19 known AI crawlers)
- Citation testing across ChatGPT, Claude, Perplexity, Gemini — before/after report
Pricing
$8,000 fixed-fee, 14 calendar days from kickoff.
Fit profile
Brands seeing ChatGPT/Claude misattribute their work, or noticing AI-search referrals are below organic-search referrals despite topical authority. B2B brands with editorial content.
Not for
Brands without existing content to optimize. Build the content first via Demandara or in-house, then optimize for AI search.
Common questions
- Why does this matter when traditional SEO still works?
- AI search referrals (Perplexity, ChatGPT search, Claude with web) are growing 50%+ year over year. Brands optimizing for AI citation now will compound the advantage; brands waiting will be cited as competitors when LLMs return answers.
- Do you guarantee LLMs will cite us?
- No — we cannot control what LLMs decide to cite. We can demonstrably improve the probability of correct citation and provide before/after data showing the lift.