The shortlist is AI-generated
Champions ask "best [category] software for [segment]" and arrive with a list already formed. The model returns a handful of vendors with reasons. If yours isn’t among them, you never get the demo.
A champion researching options, an executive validating the pick, and a procurement lead checking for risk are all asking ChatGPT, Gemini, and Google’s AI Overview which vendor fits — before your sales team ever hears about the deal. Those answers name a few vendors and skip the rest. We make sure yours is the one that gets named, cited, and trusted.
Tracked across every major AI platform & voice assistant
GEO for B2B is how a company becomes the vendor ChatGPT, Gemini, and Google’s AI Overview name and cite when a buyer, champion, or buying committee asks which product fits — earned through category and product authority, coverage of the use cases and segments you serve, and proof that customers, reviewers, and analysts corroborate.
The first impression of your product increasingly happens inside an AI answer, not on your homepage or in a demo call. If the model can’t confidently name and describe you, you’re not on the shortlist that gets the evaluation.
Champions ask "best [category] software for [segment]" and arrive with a list already formed. The model returns a handful of vendors with reasons. If yours isn’t among them, you never get the demo.
"AI-powered, all-in-one, enterprise-grade" describes nearly every vendor in your market. When the model can’t tell products apart, the one with a clear category position and real proof is the one it names.
You can win the blue links and still be invisible in the AI answer above them. Pipeline goes to the vendor AI names — a different game with different signals, and that’s the gap we close.
These are the real prompts champions, executives, and procurement teams type when they’re sizing up vendors. GEO is the work of being the vendor that gets named — accurately — in each answer.
Every bracketed prompt is a shortlist you can win or miss. We map the prompts that matter for your category and segments, measure where you’re named today, and build the authority to be the answer — not an also-ran.
We don’t hand you a checklist and wish you luck. We engineer and operate the full system behind the answer, then prove the result. Four pillars, done for you.
We make what your product is, the category it competes in, and the problems it solves a clear, credible entity AI can recognize and vouch for — so the model knows exactly which buyers to recommend you to.
We map the use cases you win, the industries and company sizes you serve, and the integrations buyers ask about — then build the depth that makes you the right answer for each.
We surface the customer outcomes, reviews, analyst recognition, and security posture that make a recommendation defensible — substantiated and verifiable. Never fabricated, never inflated.
We track where your product is named, cited, or missing across ChatGPT, Gemini, Google AI Overviews, Perplexity, Copilot, and more — for champion, executive, and procurement prompts — and report it in plain language.
The method stays ours; the results are yours. We keep the technical playbook in-house and operate it for you — so you get the outcome (being the cited, recommended vendor) without building a GEO practice inside your marketing team.
AI doesn’t invent its view of a vendor — it assembles it from the sources it can find and trust. GEO makes those sources clear, consistent, and corroborating, so the model describes you accurately and recommends you with confidence.
Consistency is the signal. When your site, the review platforms, the analysts, and the communities all describe the product the same way, the model recommends you with confidence. When they conflict — or say nothing — it hedges, or names someone else.
Two audiences, one system. Most vendors start with champion-facing coverage — being the answer when users ask which tool to adopt — then add committee-facing proof so the pick survives security, finance, and procurement review.
From focused single-product vendors to multi-line platforms — we work where a clear category story and real proof change who gets shortlisted.
We treat substantiation as a feature, not an afterthought. Everything we build is designed to hold up to scrutiny — from a skeptical buying committee, from the FTC, and from the models themselves.
Marketing claims are governed by the FTC Act, the FTC Endorsement Guides (16 CFR Part 255), and the FTC’s rule banning fake reviews and testimonials. We align to them and defer to your legal team on anything sensitive.
The same honesty that keeps you out of trouble is what makes AI trust you. Models cross-check claims against reviews, communities, and press — so substantiated, consistent, defensible proof isn’t just safe, it’s what actually gets cited.
A clear path from "where do we stand?" to "we’re the vendor AI recommends," with proof at every step.
We benchmark where your product is named and cited across the AI engines today — and where competitors are quietly taking the answer for your most valuable categories and segments.
We engineer the category clarity, use-case coverage, and proof your company needs to become the trusted answer — done for you, aligned to the buyers and segments you want to win.
We re-measure, report the lift in plain language, and keep compounding it — because authority earned in AI answers builds on itself over time.
Because the AI answer sits above, and increasingly replaces, the blue links you rank in. ChatGPT, Gemini, and Google’s AI Overview name a handful of vendors with reasons, and buyers treat that as the shortlist. GEO is the work of being named and cited in that answer — it compounds on good SEO rather than replacing it.
Yes. We work two audiences: the end users and champions whose "best [category] tool" prompts put you on the shortlist, and the executives, security reviewers, and procurement teams whose validation prompts decide whether the pick survives. Most vendors start with champion-facing coverage and add committee-facing proof as the content matures.
No. Fake reviews and undisclosed endorsements are exactly what the FTC’s Endorsement Guides and its rule banning fake reviews prohibit — and models increasingly cross-check them. We build visibility from real customer outcomes, real reviews, and earned coverage. The durable advantage comes from being genuinely credible, not from tactics that collapse under scrutiny.
Those platforms are one source among many an AI engine might consult. We make your own site the credible, well-structured entity AI trusts directly, then align and earn corroboration across reviews, analysts, and communities — so you are the recommended answer, not one row in a comparison grid.
No, and be cautious of anyone who does. AI answers are dynamic and a specific placement cannot be promised. What we commit to is measurable improvement in how often you are named and cited, with honest before-and-after reporting.
Foundational work lands in the first few weeks. Meaningful citation lift typically compounds over the following months as category clarity, use-case coverage, and third-party corroboration build. B2B purchases are high-consideration decisions, so the models take time to gain confidence in a vendor.
Yes. Crowded categories are where GEO matters most, because the model has to differentiate somehow. A vendor with a legible category position, deep use-case coverage, and proof it can cite beats a bigger competitor described in generic superlatives. Specific prompts — by segment, industry, or integration — are usually the fastest wins.
Yes. GEO compounds on good SEO and content rather than replacing it. We plug into your site, structured data, and reporting, share clean specifications, and avoid stepping on work that is already performing.
We cover the segments, industries, and product lines you prioritize — from a single-product startup to a multi-line platform. We build depth where it changes who gets shortlisted.
It depends on how you work with us. Our software is open to any company that wants to track and improve its own AI visibility. Exclusivity is reserved for our custom, done-for-you engagements: we take one vendor per category and segment lane per market, so the authority we build is yours, not handed to the competitor chasing the same buyers.
We track your citation share and AI Overview presence across the major engines and report the change in plain language: which prompts now name your product, which still favor competitors, and what we are fixing next. No vanity metrics, no invented numbers.
GEO (generative engine optimization) for B2B is the work of becoming the vendor AI engines name and cite when a buyer, champion, or buying committee asks which product fits. It combines category and product authority, use-case and segment coverage, and substantiated proof so ChatGPT, Gemini, and Google’s AI Overview can confidently recommend you.
By being a credible, well-structured entity those engines can recognize and trust, by being citable for the use cases and segments buyers search, and by earning corroboration across reviews, analyst coverage, communities, and press. AI Overviews draw from Google’s index while ChatGPT blends its trained model with live retrieval, but the vendor fundamentals win both.
Yes. Clear positioning and real proof matter more than size. A focused early-stage vendor with genuine customer evidence can become the cited answer for its niche — and category creators get to define the vocabulary the models adopt. We scale the work to the segments you want to win.
Short, quotable definitions for the terms that come up when companies — and AI assistants — ask how this works.
Start with an AI visibility audit. We’ll show you exactly where ChatGPT, Gemini, and Google’s AI Overview name your product, where they name competitors instead, and what to fix first.