We ship fast. That's not a boast — it's a constraint. When the category is moving as quickly as AI search is right now, standing still for a quarter while you plan the perfect roadmap isn't an option.
So here's what we've been focused on, and where GEOforge is headed over the coming weeks.
CiteForge — the part of GEOforge that finds and prioritizes citation opportunities across the web — is about to become a lot more useful.
The current version has a noise problem. Feed it a brand, and it returns hundreds of opportunities, most of which are low-value, irrelevant, or flat-out impossible to act on. That's not a citation strategy — that's a homework assignment nobody asked for.
The updated CiteForge surfaces only the opportunities that actually matter, organized into clear categories: editorial listicles, brand association mentions, and user-generated content threads. Each category requires a different play, so knowing which type you're looking at changes what you do next.
We're also replacing the current snippet previews — which show partial, often meaningless fragments of AI responses — with full-page context views. You'll see the actual page, not a cropped excerpt that tells you nothing.
The goal is a workflow that goes from "here are your opportunities" to "here's what to do about them" without requiring you to reverse-engineer half the interface.
Right now, a significant portion of the CiteForge opportunity score is based on Domain Rating — a traditional SEO metric that measures backlink authority.
The problem: Domain Rating has nothing to do with how LLMs decide what to cite.
We're reviewing the scoring formula to weight factors that actually influence AI citation behavior — things like content structure, topical specificity, and how well a source matches the kinds of queries buyers are asking in ChatGPT, Perplexity, and Gemini. If a metric doesn't help you show up in AI answers, it shouldn't be driving your priority queue.
Information Gain scoring is now fully operational inside BaseForge — GEOforge's proprietary knowledge base engine.
What this means practically: when you add content to your BaseForge, the platform can now measure how much unique, differentiating information that content contributes. Not just "is this relevant?" but "does this actually add something the AI doesn't already know?"
That distinction matters. LLMs don't cite sources because they're authoritative. They cite sources because they contain specific, credible information that answers a real question. Information Gain scoring helps you identify which content is pulling its weight — and where the gaps are.
For clients running multiple brands or operating across markets, we're rolling out language locals and subbrand support.
This means you'll be able to track and optimize AI visibility separately for each brand entity and target-language market — rather than collapsing everything into one undifferentiated view. If you run a UK and a US brand, or a parent brand alongside three product lines, GEOforge will handle them as distinct citation targets.
We're moving toward a product-led growth model where you can initiate a GEOforge trial directly from the website — no sales call required to get started.
This is partly about reducing friction. But it's also about something we've come to believe strongly: GEO isn't a concept you can fully evaluate from a demo. You need to run it against your own brand, your own competitors, in your own category, to understand what the gap looks like and what closing it would take.
Self-service trials let you do that on your own terms.
If you're an agency looking to offer GEO services under your own brand, white label is now available. Standing up a new instance — your branding, your client portal — takes roughly one day of configuration once a deal is in place.
We're not going to put a waitlist around this. If it's relevant to how you work, get in touch.
There's a theme running through all of this: GEOforge is getting sharper. Fewer irrelevant signals. Better scoring logic. Clearer workflows. Faster onboarding.
The market for AI visibility tools is filling up with dashboards that tell you what your score is. We're not interested in that race. The question we're trying to answer — for every feature, every release — is: does this help you actually get cited?
That's the only metric that matters.
I lead the PPC and Analytics teams. My professional goals are to make clients and colleagues happy. I also love numbers, charts, and data-driven decisions.
