A buyer types "best tool for a 20-person team" into ChatGPT. Three products come back with a sentence each. That shortlist is now the whole evaluation, and if your software isn't on it, you were never in the running.
CGS Growth is a GEO agency for SaaS. We get B2B software recommended by ChatGPT, Perplexity, Gemini, and Claude when buyers ask which tool to use.
Trusted by SaaS teams to win AI-search visibility.
The shift most software teams are missing
Open ChatGPT and ask it to recommend software in your category. Then compare your product with your closest competitor. Most founders find they're missing from the first answer and described incorrectly in the second.
ChatGPT and Perplexity name three tools in your category, and you're not one of them. Often it's a product with worse ratings and fewer customers than yours.
Self-serve signups have gone flat, and the usual reports don't explain it. Nothing changed in paid or organic. The buyer who built a shortlist inside an assistant and chose someone else never touched your site, so your funnel never records the loss.
Your agency talks about rankings. Ask how a model decides which tools to name in a comparison, and the conversation moves back to backlinks.
The model describes your product wrong. Wrong pricing, an old feature, an integration you never had. And nobody at your company can see it happening.
A competitor is defining your category. Models learn your category from whoever wrote about it first. If that wasn't you, every answer comes back in a competitor's language.
Nobody is tracking any of this. You don't know how often assistants recommend you, which competitors appear instead, or where you're missing from the shortlist.
Models learn your category from whoever wrote about it first. If that wasn't you, every answer comes back in a competitor's language.
AI Visibility Score
At RiskGoogle Search
RankingChatGPT
Not foundPerplexity
Not foundGemini
Not foundClaude
Not foundTraditional SEO competes for a link the buyer might click. GEO competes to be part of the answer they read instead.Generative Engine Optimization is the work of getting your product named, described correctly, and cited when an AI assistant answers a buying question. Traditional SEO competes for a link the buyer might click. GEO competes to be part of the answer they read instead of clicking anything.
SaaS buying questions are comparative — and models build those answers from sources most teams never consider.SaaS buying questions are comparative by nature. Buyers ask which tool fits their team or how you compare with the incumbent, and the model builds those answers from sources most SaaS marketing teams have never considered.
We take the prompts your buyers actually type and run them across ChatGPT, Perplexity, Gemini, Claude, and AI Overviews. Several times each, since answers move between sessions. What comes back is your starting number, plus a map of who owns each prompt today.
You can't audit an agency's traffic chart from the outside. You can audit this. Run the prompt under each case and see for yourself what the assistant says.
426 new subscribers per month from AI search channels, client-reported, and 1,200+ AI citations per month
Problem: A DTC brand in a category where AI models kept defaulting to the legacy players.
Solution: We built the category definitions, comparison assets, and citation architecture that gave LLMs a reason to recommend Hubble. Type "best contact lens subscription" into Perplexity — the sources are listed on screen.
4 new enterprise clients per month and the #1 position in ChatGPT for maritime cybersecurity
Problem: In maritime security, the buying committee builds its shortlist before anyone picks up a phone. Until last year, that shortlist never included Cydome.
Solution: We mapped the prompts that mattered, earned coverage in the trade press, and published the comparisons nobody else would write. Ask ChatGPT "best maritime cybersecurity solution" and see who it names.
748 new paying signups per month through AI-driven discovery and 2,800+ AI recommendations per month
Problem: Strong Google presence, invisible in AI answers about the category.
Solution: We rebuilt category pages for LLM extraction and fixed the indexing issues that were keeping them out of reach. Run "wholesale grocery platform Thailand" in Gemini and check for yourself.
Want results like these?
Your buyers' prompts, including comparison and "best tool" variants, run across every assistant.
Prompts sorted by buying stage and value, matched to whatever should win each one.
Rewriting for extraction, schema, product entity cleanup, and the technical fixes blocking access.
This is the heavy phase: rewriting for extraction, schema implementation, product entity cleanup across directories and review sites, and the technical fixes that were blocking access in the first place. Skip the entity layer and the rest of the work underdelivers.This is the heavy phase: rewriting for extraction, schema implementation, product entity cleanup across directories and review sites, and the technical fixes that were blocking access in the first place. Skip the entity layer and the rest of the work underdelivers.
The sources already shaping answers in your category, plus assets people quote unprompted.
How often you get cited, which competitors turn up beside you, and what the roadmap should change.
Ready to start?
Scope varies by category and starting point. These are the pieces that appear in nearly every engagement. The team you meet on the first call is the team that runs your engagement.
A visibility audit across ChatGPT, Perplexity, Gemini, Claude, and AI Overviews.
Prompt and category keyword research, mapped to buying stage.
Content-gap analysis: which buying questions you can't win yet, and why.
Competitor AI-visibility monitoring on the same prompt set.
LLM-optimized content, both new pages and rewrites of what you have.
Product entity optimization and knowledge-graph work.
Schema markup, with SoftwareApplication and Service on nearly every engagement.
Citation building through digital PR and review-platform placements.
Comparison and alternatives pages, the format models quote most in software categories.
A tracking dashboard you log into yourself, updated monthly.
A quarterly working session on where your category is moving.
Direct Slack access to the strategist running the account.
you sell B2B software and already have a site, docs, and some content behind you,
you want the assistant to name your product first, not third, and not as an afterthought in the final sentence,
you have traditional SEO handled, in-house or by an agency — we work alongside them,
you can give this two quarters, because category vocabulary settles slowly and then hardens,
you judge the work by pipeline rather than by a dashboard metric.
We say no to a lot of inquiries. Usually because the product isn't ready, sometimes because the category is too crowded to shift in the time you've got.
Early-stage products are welcome. Startups can sometimes move faster because there's less established coverage to displace, and being first to define the vocabulary can matter more than being the biggest.
you need the basics first — no site, docs, or published content yet, and we'll say so before you sign anything,
you are shopping on price: somebody will always come in under us, and we'll name two agencies who'll do it for less,
you only care about Google rankings.
Every project is priced after the audit. But to give you a realistic sense of where you might fit:
$1,500–2,500/mo
One core market, a focused set of buyer questions, and relatively little competition in AI answers. These are often the quickest wins, simply because the category is still open.
$3,000–4,500/mo
Several products or markets, with competitors already showing up in AI answers. More prompts to compete for, more existing content to rework, and citations that need to be earned rather than simply claimed.
$5,000+/mo
Multi-market or multi-language, in a highly contested category. Broader digital PR at scale, with reporting connected to your BI stack.
These are the ranges our current clients pay, not fixed packages. Your actual investment is determined after the audit — and the audit is free.
Everything software teams ask us before they start. Still unsure? Book a free AI visibility audit.
SEO earns you a place in a list and lets the buyer choose. GEO earns you a place inside the answer, which is a harder test: the model has to find your page, take a claim from it, know that claim belongs to you, and see it confirmed by a source you don't own. That last requirement is what most software teams underestimate, and it is why product data and outside mentions carry more weight than any keyword decision.
We measure where you stand across the assistants your buyers use. We fix the product data models rely on to identify you, restructure content so answers can be extracted cleanly, and earn the third-party citations that make a model confident enough to recommend you by name.
ChatGPT, Perplexity, Gemini, Claude, and Google's AI Overviews as standard, plus Copilot if your buyers use it. The audit tells us which ones actually matter before we spend your budget.
Technical and access fixes can show in two to four weeks. Entity and content work usually starts moving citations at 60 to 90 days. Digital PR compounds beyond six months. If an agency promises meaningful month-one movement, end the call.
Four numbers: how often you get cited, what share of target prompts name you, where you appear in the answer, and which competitors appear beside you. Prompts run on a schedule because answers drift. Where the CRM allows it, we connect AI referral traffic to closed revenue.
Roughly the same work under different labels. GEO emphasizes generated answers, AEO direct answers, and LLM SEO the broader AI surface. Selling all three as separate retainers is mostly selling the same work three times.
Yes. Assistants still rely on indexes that traditional SEO keeps healthy. The difference is what happens above that layer: fewer hours on keyword variants, more on structure, product data, and third-party mentions.
Programs are scoped after the audit, and the ranges above reflect what our current clients pay. Price depends on how contested your category already is, how much rewriting your content needs, and whether we're building citations from nothing. Early-stage products in young categories usually sit at the lower end, because there's less to displace.
That's one of the highest-value parts for software. Comparison prompts sit near the end of the buying cycle, where an assistant is effectively doing your sales team's shortlisting. Winning them takes honest comparison content, clean product data, and citations on trusted review platforms.
This work sits alongside our platform and industry programs.
Where most software buyers start, and usually the first platform we go after.
ChatGPT SEO agency →
Gemini and AI Overviews, the one place your Google authority still buys you something.
Gemini SEO agency →
Strong penetration among technical and enterprise buyers, with a high bar for source quality.
Claude SEO agency →
Every platform plus traditional SEO, run as one program.
AI SEO services →
Categories are being defined in AI answers right now, and the products shaping that vocabulary will be quoted long after the rest catch up. Two weeks, no fee. At the end, you'll know which buying questions currently go to someone else, and what closing that gap involves.
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Ranking
