AI Search Visibility
Google AI Overviews, ChatGPT Search, Perplexity, and Gemini now answer buyer questions before your listing ever loads, and each cited source captures the click a blue link used to earn. We audit where your brand is missing from those answers, restructure your highest-value pages so language models can extract and cite them, and track citation share against the competitors currently taking your spot.
The five things AI models check before they cite you.
Google AI Overviews, ChatGPT Search, Perplexity, and Gemini answer buyer questions directly now, and each generated answer names two to five sources as the reference. Ahrefs and other industry trackers have linked AI Overviews to double-digit click-through declines on informational queries — the same queries that used to feed the top of a content funnel. A brand that isn’t one of those named sources doesn’t lose a ranking. It loses the mention entirely.
We run your target queries through Google AI Overviews, Perplexity, ChatGPT Search, and Gemini on a fixed cadence and log which sources each engine cites, how your brand is described when it appears, and which competitors are cited in your place. The output is a gap map scored by citation frequency, not a screenshot deck.
Language models pull passages that answer one question cleanly and come from a source the model already trusts. We rewrite your highest-potential pages with summary blocks, explicit definitions, and direct claim statements the model can lift without reinterpreting them — the same structural work that also lifts featured-snippet eligibility in classic Google search.
FAQ, HowTo, Article, Organization, and Speakable schema deployed and validated across your highest-traffic pages. Structured data is the clearest machine-readable signal a page can send about what it definitively answers, so we treat it as required infrastructure rather than a nice-to-have.
We track how AI-generated answers describe your brand for sentiment, accuracy, and frequency, month over month. When an answer misstates a price, a feature, or a claim about your business, we trace it to the source feeding the model and get it corrected — most misattributions start from one outdated third-party page.
AI models weight sources that other authoritative sources already cite more heavily than a brand’s own site. We identify the publications, directories, and data sources feeding the models in your category and run a targeted programme to get your brand, data, or original research cited there first.
Baseline in 30 days. Everything after that builds on it.
Audit and baseline
A full AI visibility audit runs across your target query set, establishing a citation frequency baseline. Your top 20 pages are scored for extraction readiness and your existing schema is inventoried. You get a prioritised action list before any retainer work begins — not after.
Structural optimisation
Your highest-priority pages get restructured for extraction, schema goes live across the site, and the first wave of third-party citation outreach begins. Citation frequency is checked monthly against the month-1 baseline, so you can see movement before the quarter ends.
Expansion and monitoring
Citation gains from the first quarter get consolidated, new query sets are added as your category shifts, and brand mention monitoring runs continuously. Your monthly report covers citation rate, the accuracy of AI-generated brand descriptions, and share of citation against named competitors.
Who this is for
- SaaS and software companies whose category and comparison queries already trigger AI Overviews or a ChatGPT Search summary
- Finance, legal, and health brands where AI-generated answers are replacing the informational click traffic that used to reach their site
- E-commerce brands losing top-of-funnel traffic to AI shopping summaries that cite competitors instead of them
- Any business that has watched a named competitor get cited in an AI answer where they should have been and wants to know why
- Businesses in hyper-local verticals where AI search still has minimal query penetration in their category
- Sites with fewer than 20 pages of substantive content — extraction needs source material to work with, and there isn’t enough of it yet
- Teams expecting a guaranteed citation placement — no agency controls what an LLM outputs at inference time, and anyone who says otherwise is selling something else
Three tiers, same method. Scope scales by platform count.
What clients actually ask before signing.
How do you measure visibility in ChatGPT or Perplexity?
Is this different from traditional SEO?
Can you guarantee we get cited by ChatGPT?
How quickly will we see results?
Can this run alongside our existing SEO retainer?
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.