Be the company AI recommends.

SEO focuses on ranking your website in Google search results: optimizing for keywords, backlinks, and technical signals so people click through to your site.

AI Visibility (also called GEO, Generative Engine Optimization, AEO, or Answer Engine Optimization) focuses on getting your brand cited, mentioned, and recommended inside the answers generated by AI tools like ChatGPT, Claude, Perplexity, and Gemini.

The two disciplines are related but not identical: good SEO helps AI visibility, but it doesn't guarantee it. They require different content structures, different authority signals, and different measurement frameworks.

AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) refer to the same practice: optimizing your content so it appears in AI-generated answers across platforms like ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot.

Some organizations prefer 'GEO' to emphasize optimization for generative models specifically. At Spiralytics, we use both terms interchangeably.

A zero-click search happens when a user finds the answer to their question without clicking on any link. This is because an AI tool or search engine delivers the answer directly in the interface. Zero-click experiences are rapidly becoming the norm: Google AI Overviews trigger on 48% of queries, and users click traditional results only 8% of the time when a summary is present.

For your business, this means your brand can influence a buying decision without the buyer ever visiting your website – but only if you appear in the AI answer. If you don't, you're invisible at the exact moment the decision is being made.

Our monitoring and optimization covers all major AI platforms: ChatGPT (OpenAI), Perplexity AI, Google Gemini, Google AI Overviews (AI Mode), Microsoft Copilot, Grok (xAI), DeepSeek, and voice assistants including Siri and Alexa. As new AI platforms gain traction, we add them to our monitoring stack. We'll always tell you which platforms are most relevant for your specific industry and buyer profile.

On an established site with solid SEO foundations, early shifts in AI answer-slot visibility can appear within 4–8 weeks after content restructuring. More consistent inclusion across multiple AI engines and prompt clusters typically takes 3–6 months.

Sustained AI referral traffic with measurable funnel impact generally emerges at the 3–6 month mark. We set clear milestones and report against them monthly.

We track four core AI visibility metrics: (1) Mentions – how frequently your brand appears in AI-generated responses for your tracked prompt clusters; (2) Citations – whether those responses link back to your content; (3) Sentiment – whether the context around your brand is positive, neutral, or negative; (4) Share of AI Voice – how often your brand appears relative to your top competitors.

A healthy SEO foundation is helpful – but it's not a prerequisite. Brands with strong websites but low AI visibility benefit from AEO work immediately. Brands with weaker SEO foundations may benefit from a combined program, where we build authority that improves both Google rankings and AI citation rates simultaneously.

We'll assess your current situation in the Readiness Assessment and recommend the right approach.

Yes. Voice assistants like Siri and Alexa still rely on structured, concise, authoritative information to form their spoken responses.

The clarity, schema, and entity signals we optimize for AI tools like ChatGPT also improve performance in voice search. We include voice assistant visibility in our monitoring dashboard.

Not replacing but supplementing and reshaping. Google still processes billions of queries per day and isn't going away. But the proportion of research-stage queries that begin in AI tools is rising sharply: from 29% of B2B buyers in April 2025 to 51% by March 2026 (G2).

AI tools are increasingly where decisions begin during awareness and consideration-stage intent – the moments when buyers form shortlists. Being absent from that moment is a real competitive disadvantage.

Pricing depends on scope: your current AI visibility baseline, the competitiveness of your category, the volume of content that needs to be restructured or created, and the breadth of third-party authority building required.

We scope every engagement after the initial AEO Readiness Assessment and provide a clear proposal with defined deliverables and milestones. Get in touch and we'll tell you exactly what makes sense for your business.

Any business where customers research vendors, compare options, or seek recommendations before purchasing. In practice: B2B service businesses, SaaS companies, agencies, professional services firms, eCommerce brands in considered-purchase categories, and individuals building thought leadership.

We also run Personal AEO for founders and executives whose names are as important to their brand as the company itself.

We're not rebranding our existing SEO service and calling it GEO. We've built a distinct process – with a formal AEO Readiness Assessment, dedicated prompt research, answer-first content architecture, entity building, third-party authority development, author byline strategy, and cross-platform monitoring.

We work across global markets and we measure everything. Accountability is the only reason to hire an agency.

No. And you should be careful with any agency that says otherwise.

Nobody controls these models. AI answers shift with how a question is phrased, the user's location and history, which model version is running, and what the system retrieved in that moment. The same prompt asked twice can name different brands. A guaranteed placement is not a thing anyone can sell you.

What we do commit to is specific. We measure your baseline before any work begins, agree the prompt clusters that actually matter to your buyers, and report against them every month: mentions, citations, sentiment, and Share of AI Voice. You see the same numbers we see.

We also commit to the levers that are genuinely within our control and that demonstrably move inclusion: entity clarity, answer-first content structure, schema coverage, and presence on the third-party sources these models draw from. On an established site, early movement in AI answer slots typically appears within 4 to 8 weeks, with more consistent inclusion across engines at 3 to 6 months.

Put plainly: we guarantee the work and the measurement, not a sentence inside someone else's model.

A dashboard tells you that you are missing from AI answers. It does not change the answer.

Monitoring is part of what we do and you get it: cross-platform tracking of mentions, citations, sentiment, and Share of AI Voice. But tracking is the instrument, not the work. What changes an answer is restructuring content so AI systems can extract it, making your entity unambiguous so you get described correctly, earning presence on the third-party sources these models actually cite, and attributing content to named experts.

Here is a fair test. If you already have a team with the capacity and the AEO experience to act on visibility data, a monitoring tool may be all you need, and we will say so. Most teams we talk to have no shortage of data and no bandwidth to act on it. That is where progress stalls.

For us, monitoring is how we prove the work landed. It is not the product.

Not as a straight swap, and that is not us protecting an SEO retainer.

AI engines are largely grounded in the same web your SEO work strengthens. They retrieve and cite real pages, they depend on crawlability and site health, and they weight sources that carry genuine authority. Cutting SEO to fund AEO usually erodes the foundation your AI visibility is standing on. The two compound rather than trade off.

Where budget usually comes from instead is the work that only paid off in a high-click world: content produced for volume rather than depth, and spend chasing queries your buyers now settle inside an AI tool before they ever reach a results page. In most engagements the first phase is restructuring content you already own rather than commissioning more of it, so the early cost is lower than people expect.

If your category has genuinely moved upstream into AI tools, changing the mix can be the right call. That should follow your own baseline data though, not a trend. The Readiness Assessment is where we find out.