What counts as off-site content?
Off-site content is your own factual, compliant content placed on third-party surfaces an AI engine reads when it answers a question about your category. That is the comparison and aggregator tier (Bankrate, NerdWallet, Forbes Advisor in the US, MoneySuperMarket in the UK), the explainer and reference tier (Investopedia-style definitions and guides), the review tier (Trustpilot and similar), and the Q&A and knowledge surfaces consumers and engines pull from. It is not content on your own site, that is content strategy, and it is not a link pointing back to you, that is link building. Off-site content is the page that lives on someone else's domain and shapes the answer from there.
How is this different from link building?
Link building earns links, listings, and editorial mentions that point back to your domain, so the engines and Google count you as trusted and send the click home. Off-site content does the opposite direction of work: it produces and places the actual content that lives on the third-party surface and gets read in place. A link from Bankrate sends a signal toward you. An accurate, current rate entry or explainer about your product sitting on a comparison hub is the thing the AI quotes when a customer asks who to bank or borrow with. You want both, and they are run differently. Our link-building track for finance covers the first; this page covers the second.
Isn't placing content on review and comparison sites risky for compliance?
It is exactly why a finance brand should not do this casually. Insurance advertising rules hold the insurer responsible for an ad regardless of by whom it is written, the SEC Marketing Rule and FINRA Rule 2210 govern communications across any channel, and the FCA financial-promotions regime requires that a promotion be fair, clear, and not misleading. Those standards are technology-neutral and surface-neutral: a stale rate on a comparison hub in your name raises the same consumer-harm concern the regime exists to prevent, whether a person or an engine surfaces it. So every placement we draft is built to pass your compliance review first, carries the right disclosures, and is kept current as your numbers move. The risk is not placing compliant content off-site. The risk is an outdated or unreviewed version of you already living there.
Which off-domain surfaces matter most in finance?
It depends on the prompt, which is why we audit before we place. In practice four tiers do most of the work. Comparison and aggregator hubs (Bankrate as a rate aggregator, NerdWallet, Forbes Advisor, MoneySuperMarket in the UK) win product-shopping prompts like best savings account or cheapest car insurance. Explainer and reference surfaces (Investopedia-style definitions) win the how-does-this-work prompts that precede a purchase. Review platforms (the Trustpilot tier) win the is-this-brand-trustworthy prompts. Q&A and community knowledge surfaces win the lived-experience prompts, and Perplexity in particular leans on community discussion. We rank them by which ones the engines actually quote for your category, not by domain authority alone.
How does this change what AI says about us?
An AI answer about your rates, fees, or trustworthiness is assembled from the off-domain sources the engine reads, not from a single page you control. If those sources are thin, outdated, or absent, the engine fills the gap with whatever it finds, including a competitor's framing or a years-old number. When the comparison hubs, explainers, and review surfaces carry accurate, current, compliant content about you, the engine has the right material to quote and the answer moves toward what is true. You do not get full control of a third-party page, but you get a strong, factual influence on what sits there, and that is what decides the answer.
How do you measure off-site content?
To off-domain citation share, not to a vanity placement count. We track, across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews, how often your brand is named in the answer to the prompts that matter, which off-domain sources the engines cite to build that answer, and whether the facts they pull about your rates and terms are accurate. When an engine quotes an outdated number from a comparison hub or review surface, we flag it and correct the underlying content. The report leads with the share-of-answer line and the accuracy line, and shows which surfaces moved them.