New

Shopify launched Agentic Storefronts. We make AI agents recommend you - not just list you.

See the Shopify integration
Tru Commerce
PricingStart free →

GEO · OFF-PAGE GEO

Off-page GEO: models corroborate before they recommend.

An engine will not stake an answer on your marketing copy alone. It looks for agreement elsewhere - reviews, comparisons, communities, and the specific sources AI surfaces cite most often.

This is where most brands are weakest and where the surfaces are most consistent: the sources AI cites for buying decisions are rarely brand-owned. Reddit threads, review roundups and comparison sites carry disproportionate weight.

What the work is

Citation-source mapping

Which domains the models actually cite for your category — measured from live answers, not assumed from domain authority.

Review and community presence

Coverage where buyers and models both look, including the community surfaces that show up repeatedly in citation graphs.

Comparison and roundup placement

Getting into the third-party comparisons an engine reaches for when a shopper asks which is better.

What this is not

Not link buying, not PBNs, not directory spam. Earned placement only — bought links do nothing here and create risk elsewhere.

Questions

What is off-page GEO?

The work of building corroboration outside your own site — reviews, comparisons, community discussion and third-party coverage — so a model has independent evidence before it recommends you.

Why do community sources matter so much?

Because engines cite them heavily for buying questions. Discussion threads carry the lived experience and trade-offs a product page never contains, which is exactly what a model needs to answer 'is this good for my situation'.

Do you buy placements?

No. Everything here is earned. Paid links are worthless for this and carry downside risk in classic search.

Start with a baseline. The scan is free and lands in 24 hours.

Run the free Citation Rank scan or talk to founders