Win every AI search engine at once
AI search referrals are growing 527% year-on-year and converting at up to 10x the rate of traditional organic. ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews each work differently. We run a single co-ordinated strategy that gets your brand cited across all of them.
What we deliver
Multi-platform visibility audits
We benchmark your current visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews using a panel of 50+ industry-relevant queries. The audit records where you appear, where competitors are cited instead, which sources each platform pulls from, and the structural reasons behind each gap. You receive a single prioritised remediation plan that addresses all platforms simultaneously, ranked by effort and expected citation impact, so the first round of work delivers the biggest visible return.
Cross-platform strategy
Each AI search engine has different retrieval mechanics. ChatGPT relies on Bing. Google AI Overviews use Gemini and the Helpful Content system. Perplexity prioritises recency and citation diversity. We design a single co-ordinated strategy that satisfies all of them by focusing on the foundational signals that lift visibility across the board: entity recognition, content extractability, schema markup, and authoritative citation building. This approach delivers more visibility per dollar than running separate campaigns per platform.
Universal content engineering
We restructure your priority pages so every AI engine can extract a clean, attributable answer. Each page leads with a 40 to 60 word direct answer, uses scannable subheadings tied to buyer questions, and includes the FAQ blocks, comparison tables, and direct-answer paragraphs that all major AI engines reward. The same structural work that gets you cited by ChatGPT also lifts your Perplexity and AI Overview presence. Every change preserves existing SEO equity while dramatically improving AI extractability.
Entity and authority foundation
All AI search engines rely on entity recognition to decide which brands to cite. We build the foundation across Wikipedia, Wikidata, knowledge graphs, and the major directories every major model trusts. NAP consistency is standardised across the open web, schema markup connects your profiles with sameAs links, and a digital PR programme earns mentions in the publications AI engines treat as authoritative. The compounding effect is significant, every signal you build helps every platform simultaneously.
Cross-platform citation tracking
We track citations across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews on a weekly cadence, recording mention frequency, sentiment, and source attribution per platform. Reports show your share of voice against your top three competitors on each engine, the queries where you've gained or lost ground, and the structural reasons behind the movement. AI search referral traffic is segmented in Google Analytics so you can connect citations directly to sessions, conversions, and revenue.
Strategic adaptation
AI search platforms evolve faster than any other channel in marketing. Retrieval mechanics, ranking signals, and citation behaviour shift monthly. We monitor each major platform for changes and adjust your strategy continuously, so the work compounds rather than expiring. This is the difference between buying a one-off audit and running a programme that holds its position as the landscape moves. ClickedOn has been adapting client strategies week-by-week since the AI search rollout began.
How we work
Multi-platform baseline
We benchmark current visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews using a panel of 50+ priority queries per platform. The baseline becomes the measurement reference for every change. Most brands discover their visibility varies wildly between engines, which immediately shows where to invest first.
Foundation build
We build the entity layer (Wikipedia, Wikidata, knowledge graph), standardise NAP across all major directories, and implement Organization schema with full sameAs linking. This foundation lifts visibility across every AI engine simultaneously, so it goes first. Every other tactic depends on it.
Content and schema engineering
We restructure priority pages for AI extractability, add FAQ and HowTo schema, and target the buyer questions that trigger AI answers across every major platform. Real-time citation wins on ChatGPT, Perplexity, Copilot, and Google AI Overviews typically follow within four to six weeks of this phase.
Measure and adapt
We track citations weekly across every platform, expand into adjacent query clusters, and adapt the strategy as each engine's retrieval and ranking signals evolve. AI search shifts monthly, so ongoing iteration is the difference between a temporary spike and a defensible long-term position across every platform that matters.
Related GEO services
Other disciplines in our AI search programme. Together they cover every surface where buyers ask AI for a recommendation.
Frequently asked questions
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