Premium GEO, AEO & AI Search Optimization Agency for B2B SaaS

It gets your brand named when a buyer asks ChatGPT, Gemini, Claude, Perplexity, Copilot or Google AI for the best tools in your category. The work is a mix of on-site changes (rewriting the pages AI engines quote from, schema, entity pages, llms.txt) and off-site work (getting you into the review sites, roundups and industry sources AI engines cite). Arobis AI is a done-for-you agency, not a software platform. There is nothing to log into and no self-serve plan. The free AI Visibility Checker on this site is a diagnostic; the engagements are delivered by our strategists, writers and technical team.

We implement. The audit and roadmap take the first two weeks. After that our team ships the page rewrites, schema, entity pages, llms.txt and third-party placements, and you approve each one before it goes live. Your marketing team keeps owning the brand and the calendar; we take the AI search work off their plate. If you would rather your team publishes the changes, we hand over finished copy with exact placement and exact schema.

Read-only access to analytics and Search Console on day one. For implementation, a CMS editor seat (Webflow, WordPress, HubSpot) or a pull-request workflow against your repo. We never need production credentials, and every change is reviewed by your team before publish.

AI visibility is how often, and how favourably, your brand appears in AI-generated answers on ChatGPT, Gemini, Claude, Perplexity, Copilot and Google AI Overviews. It is measured against a fixed set of buyer prompts, not keywords: for each prompt, is your brand named, in what position, which competitors are named instead, and which sources the answer cites. Run the free AI Visibility Checker to see how ready your site is to be read and cited by those engines.

They describe the same goal from three angles. Generative Engine Optimization (GEO) is shaping how AI models understand and describe your brand across prompts. Answer Engine Optimization (AEO) is structuring pages so an AI engine can lift your brand as a direct answer. AI SEO is the umbrella term buyers use for both. In practice one programme covers all three: clear entity signals, answer-first pages, and third-party citations. Arobis AI runs that programme as a GEO agency for B2B SaaS. You will also see it called LLM SEO or LLM optimization: same work, aimed at the large language models behind these engines.

No. SEO gets a page ranked; GEO gets a brand selected. Google still decides which pages rank, but AI engines assemble answers from a narrower set of sources they trust, and they name brands, not URLs. That is why the work differs: GEO cares about how your brand is described across the web, how extractable your pages are, and whether you appear in the roundups, review sites and communities AI engines cite. Keep your SEO programme. Arobis AI works alongside it, and the two share most of the same technical foundation.

Yes, and it is common. AI engines do not copy the top ten blue links. They retrieve from sources they already trust, then pick brands they can describe with confidence. In our 2026 audits, several companies with page-one Google rankings for their category scored 0 of 6 to 0 of 9 on their own buyer prompts, because the sources AI engines were citing never mentioned them. Ranking is necessary; being cited and clearly described is what gets you recommended.

Four things, in this order of weight in our audits. Third-party citations: whether trusted roundups, review sites, communities and industry publications name you for that use case. Entity clarity: whether your site states plainly what you are, who you are for and what you are an alternative to, in the same words everywhere. Extractable pages: answer-first structure, schema, comparison and alternatives pages the engine can quote. Freshness and consistency: recent mentions that agree with each other. Arobis AI works all four (see how it works); most SEO agencies only touch the third.

In the Full audit, we run 40 real buyer prompts for your category across ChatGPT, Gemini, Claude and Perplexity, record every answer, and show you which competitors get named instead of you and which sources the engines cited to get there. You get the prompt-level scorecard, share of voice against three named competitors, every raw answer, the citation-source map and a 60 to 90 day roadmap of what to change. Two ways to get it: request a free Basic AI Visibility Audit (a 2 to 3 page report on the core AI engines, in your inbox within 24 hours), or buy the Full AI Visibility Audit for $399 (10 to 12 pages across four AI engines, also within 24 hours), credited in full against your first month if you start a retainer within 60 days.

Three stages. On-site fixes (answer-first rewrites, schema, entity pages) usually produce the first new citations within 30 to 60 days. Recommendation changes on your core buyer prompts typically show at 60 to 90 days, once third-party placements are live and re-crawled. Share of voice keeps compounding for 6 to 12 months as authority builds. Crowded categories and thin existing authority slow this down; an existing SEO footprint speeds it up. We re-check the full prompt set every month and report the movement.

For B2B SaaS companies whose buyers research with AI: they ask for "best tools", "alternatives to X" or "top platforms for Y" before they ever visit a website. Typically Series A to growth stage with a marketing team in place. Most of our work is B2B SaaS, with some other B2B projects alongside it. Not for local businesses, e-commerce, or companies whose category is not yet being asked about in AI engines; for those the audit will say so, and we will not sell you an engagement.

Ask five things. Do they measure recommendations on real buyer prompts, or only traffic? Will they show you the citing sources they intend to influence? Do they implement, or hand you a report? Can they connect AI visibility to pipeline in your analytics? Will they tell you when it is not worth it yet? Arobis AI answers yes to all five, publishes its pricing, and starts with an audit so you can judge the method before committing to a retainer.

Full-service B2B retainers in this space are published at $10,000 to $40,000 per month by the larger agencies. Arobis AI is built for SaaS teams below that budget: Foundation is $2,500 per month and Growth is $5,000 per month, both including implementation, and you can request a free audit first (see pricing). There is no cheaper self-serve tier because recommendations are earned through work on your site and across the web, not through a login.

Sometimes not, and we will tell you. It is worth it when buyers already ask AI engines about your category and a competitor gets named. It is not worth it yet when the prompts return generic advice and no vendors at all. The test takes ten minutes: run your five most important buyer prompts in ChatGPT and see whether anyone is being recommended. If it is a competitor, the cost of waiting is their head start.

Monthly, on the same prompt set. We track share of voice (how often you are named across the prompts), position and framing within the answer, competitor mentions, and which sources are cited. In your analytics we set up AI-referred sessions, conversions and pipeline as a separate channel so the business impact is visible next to organic search, and we read Google's Generative AI report in Search Console for AI Overviews and AI Mode exposure.

llms.txt is a plain-text file at your site root that tells AI crawlers what your site is and which pages matter. It is a small signal on its own, and it is not a ranking factor, but it is cheap and it pairs with structured data: in our AI Readiness Report of 2,997 website scans, those with both llms.txt and JSON-LD averaged a readiness score of 94 versus 49 for sites with neither. Generate yours in a minute with the free llms.txt Generator.