AI SEO agency

The AI SEO agency that gets SaaS brands cited in AI answers.

Rapid North helps B2B SaaS companies become visible in ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews through generative engine optimization (GEO), answer engine optimization (AEO) and LLM SEO.

NORTH STARShare of AI answers

THE RAPID NORTH APPROACH

Buyers increasingly ask an AI assistant before they open a search results page. If your product is not in that answer, you are not on the shortlist.

What's included

AI SEO services: GEO, AEO and LLM visibility.

AI search optimization builds on strong SEO, then adds the signals that help language models understand, trust and recommend your product.

01

AI visibility audit

We test how ChatGPT, Perplexity, Gemini, Claude and AI Overviews describe your category, your competitors and you.

02

Generative engine optimization

Content structured as clear, quotable answers with evidence, so generative engines can cite it with confidence.

03

Answer engine optimization

FAQ, definition and comparison content written for the exact questions buyers ask assistants.

04

Entity SEO and schema

Consistent product, company and author entities, with structured data that removes ambiguity for machines.

05

Citation building

Mentions on the review sites, communities, publications and lists that AI models draw on most.

06

AI citation tracking

Ongoing monitoring of brand mentions and citations across assistants, reported alongside organic search.

How we work

Generative engine optimization services, step by step.

We treat AI visibility as an extension of your search and authority strategy, not a separate gimmick, and we are clear about what can and cannot be measured.

01

Benchmark

Run a structured prompt set across major assistants to record where you appear, how you are described and who is cited instead.

02

Close the gaps

Fix technical access, entity clarity and missing answer content on your own site first.

03

Earn third-party citations

Build presence on the sources models trust: reviews, communities, comparisons and expert publications.

04

Track and refine

Re-run the benchmark monthly and shift effort toward the prompts and sources moving your share of answers.

The pathway

From a prompt to your North Star.

AI visibility matters when it puts your product in front of buyers at the moment they ask for a recommendation.

  1. STAGE 01Buyer prompt
  2. STAGE 02Trusted source
  3. STAGE 03Brand citation
  4. STAGE 04Shortlist place
  5. NORTH STARAI-sourced pipeline

What we measure

How we measure AI search visibility.

AI answers vary from run to run, so we measure across many prompts and over time rather than chasing single screenshots.

SHARE OF AI ANSWERS
How often your brand appears across a fixed set of category and comparison prompts.
CITATION SOURCES
Which of your pages and third-party sources assistants cite when they mention you.
SENTIMENT AND ACCURACY
Whether AI descriptions of your product are correct, current and favourable.
AI-REFERRED TRAFFIC
Visits and conversions arriving from ChatGPT, Perplexity and other assistants.
Layered constellation charts aligning on a single North Star

Senior context, applied

Channel work is stronger when it has a clear place in the system.

The working rhythm combines customer context, the practical limits of the funnel, and the next decision the team needs to make. It creates a useful brief for execution instead of another isolated activity plan.

See the engagement model

When it fits

Start with the constraint, not a channel quota.

We use the available evidence to decide whether this service is the right next move and what it must connect to.

  • ✓Competitors appear in ChatGPT or AI Overviews for your category and you do not.
  • ✓AI assistants describe your product inaccurately or with outdated information.
  • ✓You already invest in SEO and want the same work to earn visibility in AI search.
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FAQ

Frequently asked questions

An AI SEO agency improves how often and how accurately your brand appears in AI-generated answers from tools such as ChatGPT, Perplexity, Gemini and Google AI Overviews. The work combines technical SEO, answer-focused content, entity and schema work, and building citations on trusted third-party sources.

Generative engine optimization is the practice of making your content easy for generative AI systems to find, understand and cite. It focuses on clear answers, supporting evidence, consistent entities and presence on the sources those systems rely on.

The terms overlap. Answer engine optimization (AEO) focuses on being the direct answer to a question, generative engine optimization (GEO) on being cited in generated responses, and LLM SEO on how large language models represent your brand overall. In practice we run them as one AI visibility programme.

No. AI systems still draw heavily on well-ranked, well-structured web content. Strong SEO is the foundation, and AI search optimization adds the extra signals that help your brand get cited.

We run a consistent set of buyer prompts across major assistants on a regular schedule, record mentions, citations and descriptions, and combine that with AI-referred traffic in your analytics. Results are reported as trends because individual AI answers vary.

A practical next step

Bring the question that is slowing growth down.

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