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AI search optimization services for B2B SaaS and AI-native companies

Be the answer AI gives your buyers.

Buyers ask AI which tools to shortlist. We make every engine recommend you, accurately, and shape what it says next.

Trusted by forward-thinking B2B SaaS
Orion Security GlobalData

From Series A to category leaders

Your buyers are asking AI before they ask you.

AI compares a few vendors in your category and recommends one, usually a competitor. The deal is decided before anyone reaches your site, so you never see it.

We make YOU the answer.

Across every major engine
What’s the best [your category] tool for B2B SaaS?

Based on reviews and recent coverage, a few established tools lead this category. Most buyers shortlist straight from this answer, before they ever reach your site.

Sources
G2 Reddit YouTube TechCrunch
The goal: influence what AI says about you

What changes when AI recommends you

Without it
Competitors show up in AI, you don't
AI describes you with stale information
Prospects arrive cold, researching from scratch
Someone else defines how AI sees you
With AI Search Optimization
You're in the answer when buyers ask
AI gets your pricing, features and positioning right
Prospects arrive already sold by the answer
You shape how AI introduces you to buyers

Our north star is organic growth that drives attributable revenue.

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ARR added
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Qualified pipeline
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Demos booked
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AI share of voice

All within the first 8 months.

“Rafael and the team think about our pipeline like it’s their own.”
Jason Aiginitis
Jason Aiginitis
Head of Marketing · B2B SaaS ($10M ARR)

Everything in your AI Search engagement

One monthly engagement built to make every AI engine describe and recommend you, accurately.

Entity building

We make your brand an entity AI recognizes and trusts.

Answer accuracy

We fix the pricing and features AI gets wrong about you.

Competitive positioning

The signals that get you recommended ahead of rivals.

Narrative & sentiment

We shape how every engine describes you, not just whether.

AI Overview optimization

Winning Google's AI Overviews and the chat answer slots.

Monitoring & reporting

What AI says about you tracked every week: sentiment, accuracy and share of voice, plus the plan for what's next.

How we build your revenue engine

A proven system that makes your brand the answer on Google, inside AI, and across the platforms buyers trust before they buy.

ICP Mapping

We map your buyers and where they actually search: the queries they type into Google, the questions they ask AI, and the platforms they trust before talking to sales.

1
The platforms your buyers research and where you show up
A 12-month roadmap across Foundation, Scale, Authority and Lock-in
2

Growth Strategy

A prioritized roadmap, sequenced for compounding impact: what to build, what to fix, and what to amplify first, phase by phase rather than all at once.

Content Engineering

Content engineered into topic pillars that both rank on Google and get cited in ChatGPT, Perplexity and Gemini. Original data, extractable answers, technical SEO done properly.

3
The content pillars we engineer and the pieces inside each
Original research distributed across the platforms AI reads
4

Authority Building

Your original research, distributed across the platforms AI cites from: G2, Reddit, YouTube, LinkedIn, editorial. The third-party presence that turns content into authority.

Compounding Revenue

The engine keeps producing: revenue modeled per content pillar, compounding month over month as your rankings, AI citations and authority stack.

5
Projected ARR broken down by content pillar

How we measure it

Four numbers, reported monthly, against the same prompt set every time.

Share of voice comes first: of the prompts that matter in your category, how many name you, and how many name each competitor. Then recommendation rate, which we classify in 4 tiers: Recommended, Cited, Mentioned, Absent. Moving a prompt from Absent to Mentioned means the evidence is landing; Mentioned to Recommended means the engines now trust it.

Sentiment and accuracy cover what the engines say once you appear: whether the description is current, whether the pricing is right, and whether the framing sells you or a rival. Citations get tracked too, but we treat them as a receipt of the work rather than the KPI, because the goal is influencing the answer, and revenue is the scoreboard that decides the plan.

Built for B2B SaaS and AI-native companies

Series A to Series C

B2B SaaS and AI-native companies, $2M–50M ARR, growing organic beyond Google.

Marketing and growth leaders

CMO, plus VPs and Heads of Marketing, Growth and Content.

Ranking on Google, not in the AI answer

Your SEO works. But when buyers ask AI, your competitors are the answer, not you.

Frequently asked questions

It's powered by SEO, not separate from it. AI engines pull from Google's index, so ranking and being indexed is the foundation and the work runs on real SEO craft. What's new is what you optimize for and how you measure it: we factor in query fan-outs, extractability and how answers get assembled, get you into both the training data and the live retrieval AI pulls from, and measure by what AI actually says about you, your share of voice, sentiment and accuracy, not rankings alone.
ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, plus the agentic tools your buyers increasingly work in, like Claude Code. We track where you appear, the sentiment and accuracy of what's said about you, and which competitors get cited instead. Each engine pulls from different sources, so we monitor the specific prompts your buyers actually use on each one.
Yes, and we'll show you exactly how. No one can promise a model says one precise thing on a given day, but results we can stand behind, because we work from a proven system, not guesswork. We start with the low-hanging fruit: the queries and keywords you can realistically win, where competitors are weak and where AI's answer is easiest to shape. Then we run the formula that wins them, and you watch your share of voice, sentiment and accuracy climb every week.
You get your tailored roadmap within days, and AI visibility, what AI says about you and where you show up, often starts shifting within the first two to three days of going live. Revenue is the longer game: pipeline and attributable revenue from AI search typically build over two to three months as the work compounds.
For a funded B2B SaaS buying a serious multi-channel programme, most credible quotes land between $3,000 and $15,000 a month, and our own tiers sit in that band. The price follows how contested your category is, how many kinds of work your gaps span, and how much authority you start with. We published a full breakdown of the market’s pricing, what moves it, and the questions that separate serious operators from dashboard resellers in our cost guide.
You need it more, and it’s included. The engines retrieve from Google’s index, so a page that can’t rank can’t get retrieved either. Our SEO and content service runs underneath the AI search work: technical foundations, decision-stage pages, and original-data content that both Google and the engines want to cite.
Run the check yourself: ask ChatGPT and Perplexity the ten questions a buyer with budget would ask about your category, and classify every appearance of your brand as Recommended, Cited, Mentioned, or Absent. Our step-by-step audit guide walks through the full process with the query sets and the scoring sheet, and it takes an afternoon. If competitors keep taking the recommendation slot, that’s the gap this service closes.

Let's build your revenue engine.

A 30-minute call where we build you a tailored roadmap.

Rafael De Jesus, Founder of VisibleIQ
Rafael De Jesus, Founder

Trusted by B2B SaaS and AI-native teams to grow their revenue.