Arobis AI gets B2B SaaS companies ranked on Google and recommended by ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews — because your next customer now asks an AI before they ever open a search results page.
SaaS buying journeys increasingly start inside an AI answer, not on a results page. Buyers describe their problem to ChatGPT or Perplexity, get a shortlist of three to five products, and only then visit websites. If your SEO program stops at rankings, it is optimizing for the middle of a funnel that now has a new top.
Shortlists are formed inside AI engines before your analytics ever sees a visit. The brands named in those answers win demand you never get to compete for.
Across the engines we test for our State of AI Search Visibility research, SaaS brands with page-1 Google rankings are routinely absent from AI-generated shortlists.
Classic SEO reporting can look perfectly healthy while AI engines recommend your competitor by name, every day, in answers you never see.
Want the full breakdown? Read SaaS SEO agency vs. AI Search Demand Generation partner — the decision framework we give prospects before they ever talk to us.
Crawlability, Core Web Vitals, index hygiene, llms.txt, and a schema architecture that makes your product legible to crawlers and AI models alike.
A commercial-first keyword map where every page owns one distinct primary term — validated against live SERPs, never guessed, never cannibalizing itself.
Long-form, expert content built by tearing down the pages that currently rank and beating them on substance — then structured so LLMs can quote it.
Organization, Service and FAQ markup plus a consistent entity footprint, so every engine knows exactly who you are, what you do, and who you're for.
The mentions, links and third-party validation AI engines weigh when they decide which products to recommend — built deliberately, not hoped for.
Recommendation share tracked across ChatGPT, Perplexity, Gemini, Copilot and AI Overviews, reported next to your Google rankings — one scoreboard, no vanity metrics.
Every program follows the Arobis AI Search Demand Framework — five stages, each with named deliverables, so you always know what you're paying for and what happens next.
Full technical and AI visibility audit: how every engine currently ranks, describes and recommends you — and what blocks it. You get the findings whether or not we continue.
Entity foundation and schema shipped, the content engine starts publishing, first authority placements land. Google and AI engines start agreeing on who you are.
Your brand starts appearing in the shortlists and answers that match your ICP's real buying prompts — measured per engine, per prompt category.
Recommendation share is defended and compounded, and reporting ties the program to pipeline — demo requests and signups, not sessions.
Our State of AI Search Visibility 2026 report and adoption studies are original datasets — the kind of source AI engines cite. Clients inherit the method behind them.
The free AI Visibility Checker and llms.txt generator are used by SaaS marketers daily. An agency that ships working product understands yours.
The pages on this site rank for the exact commercial terms they target — validated the same way we validate yours. Ask for the receipts on your audit call.
Founder-led, deliberately small: every program is run by the team that wrote the research — not sold by a partner and handed to juniors.
Maximum context on your product — but AI-search expertise is rare to hire, the tooling stack is expensive, and one person can't cover six engines and Google.
Fine for rankings. But if AI visibility isn't in the deliverables, you're buying 2019's playbook — and learning about your AI blind spot from a competitor's win.
SaaS-only, both surfaces, evidence-first. We're the specialist you bring in because the game changed — read how to vet agencies like us before you decide.
Market retainers for specialist SaaS SEO agencies typically run $2,000–$10,000+ per month depending on scope; most agencies hide this until a sales call. We publish exact program pricing on our pricing page — no discovery-call gate, no surprises.
Technical fixes and entity work move AI-engine answers within weeks, because LLM-backed engines refresh faster than classic crawling. Competitive Google rankings typically take 3–6 months. We set per-stage expectations in month one and report against them — if a target stalls, you'll hear it from us first, with a plan.
SEO earns rankings in Google's results. GEO (generative engine optimization) earns recommendations inside AI-generated answers in ChatGPT, Perplexity, Gemini and AI Overviews. They share foundations — crawlable content, authority, entity clarity — which is why running them as one program outperforms bolting one onto the other.
AI engines recommend products they can identify (entity clarity), verify (consistent third-party citations), and trust (authority signals plus content that directly answers buying questions). That is precisely the work in this program: structured content, schema, citations, and per-engine measurement to prove it's moving.
Sometimes we run alongside a content or PR agency; if your current partner covers Google well, we can own the AI-visibility layer. If you want one accountable owner for both surfaces, we replace them. The audit shows the gap first, so the decision is based on evidence.
Because AI-search behavior is category-specific. SaaS buyers ask comparison and "best tool for X" prompts, and we've built prompt libraries, benchmarks and original research for exactly that motion. Specialists beat generalists here — that's also our advice when you evaluate anyone, including us.
How Google ranks you today, how each major AI engine describes and recommends you (or doesn't), who wins your category's buying prompts instead, and the three highest-impact fixes — delivered as findings you keep, whether or not we work together.
Get the free AI visibility audit: how your SaaS shows up today across Google, ChatGPT, Perplexity, Gemini, Copilot and AI Overviews — and exactly what to fix first.
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