Getting an LLM to adopt a new category term runs through two pathways at different speeds. A grounded, evidence-based playbook for AI start-ups, with a 60-day measurement method.
AI engines disagree with each other and with themselves. A cross-engine consistency audit scores three dimensions across 50 UK queries to separate durable positions from noise.
ChatGPT and Perplexity share only about 11% of cited domains. Three levers, retrieval, recency and source-type, explain why the same UK query returns different sources.
Mentions and citations are different events in AI search, and in 2026 they diverged. Semrush found 62% of AI citations never name the brand. The gap tells you what to fix.
Citation half-life measures how long a page holds its AI citation share before it halves. It differs by industry: regulated UK verticals hold longer, SaaS decays fastest.
Most AI SEO contracts pay for activity, not outcomes. These five KPI clauses, plus a refund-trigger template, tie the fee to citation share, freshness and schema coverage.
A single content brief can optimise for Google ranking, AI retrieval and AI citation at the same time. Here is the three-layer template, with the checklist for each layer.
Retainer, project and outcome-based pricing each suit a different GEO engagement. Here is how the three models work, what they cost to run, and when each one fits.
Answer engine optimisation and generative engine optimisation began as different disciplines and have converged. Here is the real distinction in 2026 and how to spot a mis-sell.
Perplexity leans on primary and news sources; ChatGPT leans on Wikipedia and reference sites. Here is what the published data shows and two publishing playbooks that follow from it.
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