AI Search Visibility
AI Overviews, Perplexity, ChatGPT Search, and Gemini are answering questions your customers used to click search results for. We audit your brand presence in generated answers, identify the structural and content gaps that keep you out, and build a programme to get you cited — consistently.
What is changing — and why it matters now
AI search is not replacing traditional SEO. It is adding a layer on top of it where a single generated answer can absorb the clicks that previously went to positions 1 through 5. Early data shows AI Overviews reduce click-through rates by 15–30% on informational queries — the queries that have historically driven the top of funnel for most content programmes. Being cited in those answers is the new position one.
Systematic sampling of your target queries across Google AI Overviews, Perplexity, ChatGPT Search, and Gemini. We record which sources are cited, how your brand is mentioned, and where competitors are being pulled instead. Delivered as a gap map with citation frequency scores.
AI models extract content that is well-structured, directly answers a specific question, and comes from a source they have already indexed with high confidence. We rewrite and restructure your highest-potential pages — adding summary blocks, FAQ schema, definition patterns, and explicit claim formatting — to maximise extraction probability.
FAQ, HowTo, Article, Organization, and Speakable schema implemented and validated across your highest-traffic pages. Structured data is the clearest signal to AI crawlers about what a page definitively answers — we treat it as infrastructure, not an afterthought.
Ongoing tracking of how your brand is described in AI-generated answers — sentiment, accuracy, and frequency. Misinformation in AI answers about your brand or products flagged and addressed through source correction and content clarification.
AI models heavily weight sources that are already cited by other authoritative sources. We identify the publications, directories, and data sources that feed the models covering your industry and build a targeted programme to get your brand, data, and original research cited there.
How the programme runs
Audit and baseline
Full AI visibility audit across your target query set. Citation frequency baseline established. Top 20 pages scored for extraction readiness. Schema inventory completed. You receive a prioritised action list before any retainer work begins.
Structural optimisation
High-priority pages restructured for extraction, schema deployed, and the first wave of third-party citation work begins. Citation frequency checked monthly against the baseline.
Expansion and monitoring
Citation gains consolidated, new query sets added, and brand mention monitoring running continuously. Monthly report covers citation rate, accuracy of AI-generated brand descriptions, and share-of-voice versus named competitors.
Who this is for
- SaaS and software companies whose category and comparison queries are already generating AI Overviews
- Finance, legal, and health brands where AI answers are replacing informational click traffic
- E-commerce brands losing top-of-funnel traffic to AI shopping summaries
- Any business where a competitor is being cited in AI answers instead of them and they want to understand why
- Businesses in hyper-local verticals where AI search has minimal penetration
- Sites with fewer than 20 pages of substantive content — content volume is a prerequisite for extraction
- Teams looking for guaranteed citation placements — AI model outputs cannot be directly controlled
Three tiers, same method. Scope scales by channel count.
What clients actually ask before signing.
30 minutes on a call. No pitch deck. We'll tell you if we're a fit.
Come with your domain, top three competitors, and your revenue goal for the year. You leave with a diagnosis and a realistic 12-month outlook.