Product
Geoffy is coherence infrastructure for AI commerce: it engineers your product pages so AI engines cite them accurately, measures what the engines actually say, and prepares the off-site work you can't do from your own domain. One product. Three capabilities. One loop.
New to this? What is GEO?
This animation shows how Geoffy takes raw catalogue data and engineers it into the widget that renders on the canonical product page — answer-ready content across Broad, Mid and Ultra buyer intent, with a structured-data mirror that says exactly what the visible page says.
Optimise (available now)
Early GEO tooling — ours included, in its first version — created separate AI-facing pages at scale. The industry learnt the same lesson search learnt twenty years ago: doorway patterns don't hold. Geoffy's architecture puts everything on the page that already earns your trust signals: the canonical product page.
A structured block rendered on each product page, holding answer-ready content across three depths of buyer intent — Broad (“I need a coat”), Mid (“a waterproof, warm coat”), Ultra (brand, spec, use case, thresholds). Visible in the DOM, because ChatGPT, Claude and Perplexity read the raw HTML at fetch time and don't execute your JavaScript.
JSON-LD that matches the visible page exactly, including variant handling done properly (ProductGroup wrapping for variable products). Schema feeds the engines' upstream understanding; the visible layer is what gets quoted. You need both, and they must agree.
Every claim, verified. Geoffy doesn't write marketing copy; it verifies claims. Every statement published about a product is checked against your own product data before it ships. Vague sells (“premium”, “durable”, implied benefits) are banned outright. What survives is the set of distinctive, factual, comparable claims — vegan, sugar-free, UK-made, 20g protein — engineered into the visible page, the structured data and the machine-readable files. Those are the claims AI engines select on, and unverifiable ones are exactly what they've learnt to distrust.
Consistent brand and product identity everywhere engines look, plus authoritative identity links (Wikipedia/Wikidata, company registries). AI engines confuse similar brands constantly; Geoffy makes you unambiguous.
Llms.txt, llms-full.txt and agents.md, served correctly from your own domain and kept in step with the catalogue automatically.
Semantic structure and a clean accessibility tree, so shopping agents parsing your pages get the same clear answer a human would.
Catalogues change daily. Geoffy's parity checks catch the moment page, widget and structured data disagree, and repair it.
Before anything publishes, Geoffy checks the new content against what's already on the page. Conflicts get flagged, not shipped.
On publish, caches are invalidated first, then search infrastructure is pinged, so engines see the new version in hours, not weeks.
Category-level answer pages served on your own domain, covering the comparison questions assistants answer daily.
Monitor
Early accessMonitor asks the engines the real, high-intent questions your customers ask (“best sustainable leather boots under £150?”) on a schedule, and extracts the answer's anatomy: who's named and in what order, which sources were cited, and how the answer was produced.
That last part is the diagnostic that matters — the pathway split. If the engine retrieved your page and still didn't name you, that's fixable in Optimise. If it answered from training memory, the fix is off-site authority — that's Influence. If we can't tell, we say “unknown” rather than guess.
Monitor is built as an honest instrument: results are labelled estimated or live-verified, a measured zero is never confused with “couldn't measure”, and movement is reported as correlation, not causation. Measurement you'd bet a budget on has to earn it.
Monitor knows which retailers and marketplaces actually stock you, confirmed by you rather than guessed from a directory, so it never routes work toward shelves you're not on — and can tell you when a stockist you are on is winning citations you're not getting.
Each result keeps the raw engine response it came from. When Monitor says a competitor was cited, you can read the actual answer. Measurement you can audit, not a score you have to take on faith.
Monitor and Influence are in early access.
We're rolling them out with a small group of customers so the measurement earns trust before it scales. Optimise is generally available today.
Request early access →Influence
Early accessSome answers are decided off your site — on the retailer listings, review sites, videos and reference pages the engines cite. Influence generates the ready-to-place material to earn those citations: retailer listing briefs, outreach and pitch packs, video metadata packs, authority briefs — each grounded in the exact sources the AI cited for that question.
It ends at the draft. You, or your agency, do the placing. Owned and earned only — no fake reviews, no sockpuppets, no bought placement. That line is both an ethical position and a competitive one.
The loop
Monitor finds a gap and routes it — on-page gaps to Optimise, off-page gaps to Influence — with the context attached: the question asked, who got cited, which source won. When the fix lands and the citation follows, Monitor shows the movement. That closed circuit is the product. Everything else in the category sells one arc of it.
This animation shows the closed loop: Monitor measures what the engines say, routes each gap to Optimise on-page or Influence off-site, and shows the movement once the fix earns the citation.
Transparency
No cloaking. No hidden prompts. No bot-only content. No invented attributes — if we don't know a spec, the field stays empty. Structured data always matches the visible page. AI engines are getting better at detecting manipulation every month; the durable strategy is being the brand whose data deserves the citation.
This isn't a compliance posture bolted on afterwards — verification is the mechanism. Engines cite what they can trust; we make you the easiest brand in the category to trust.
Platform support
Live today on Shopify and WordPress / WooCommerce. Magento is on the roadmap; BigCommerce and Adobe Commerce are planned.
Shopify
available now
WordPress
available now
Magento
planned
BigCommerce
planned
Adobe Commerce
planned
Next step
Install on your platform, or start with the free GEO Score to see where you stand today.
Turn your catalogue into AI-readable discovery pages and structured outputs.
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