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B2B SaaS AI visibility
LLM SEO agency for SaaS

LLM SEO for SaaS brands that need to be cited, compared, and recommended.

Buyers are already asking ChatGPT, Claude, Gemini, AI Overviews, and similar systems which products to trust. EMGI maps your ICPs, buyer prompts, target pages, authority gaps, and category context, then builds the proof those systems use when they generate answers, comparisons, and shortlists.

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AI visibility is earned across content, citations, communities, comparisons
Pricing and scope

Starts from $4,000/month. Scoped around how visible your category needs to become.

$4,000-$10,000 / month

Most customers sit in this range depending on category competitiveness, existing authority, content gaps, and how fragmented the AI answer surface is.

  • ICP, buyer-journey, query, prompt, competitor, citation, and answer-source diagnosis
  • Audit of existing pages, authority levels, content gaps, semantic positioning, and where you can genuinely compete
  • Authority content, comparison assets, commercial page support, internal links, and content update priorities
  • Editorial mentions, relevant links, Reddit, Quora, community presence, and third-party citation opportunities where they support the strategy
  • Reporting across AI citations, share of voice, target-page movement, search visibility, and next steps
What a typical month looks like.

A few pieces of authority content built for your ICP: think a comparison guide against your top competitor, a category landing page, or a listicle designed to own the answers buyers see. Alongside it, typically 5 to 15 editorial links and 5 to 20 brand mentions across the publications and communities that matter in your category. The exact mix is scoped by your roadmap and shifts month to month, because the right question is never "how many" but "which pages, and why". You will never look at an invoice here and wonder if you paid for links by the unit.

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What is LLM SEO?

What is LLM SEO?

LLM SEO is the work of making your brand visible in the answers large language models give: being named when ChatGPT recommends tools in your category, cited by Google's AI Overviews, and retrieved when AI searches the live web. It is built on the same foundation as classic SEO, editorial authority and brand mentions, because the machines learn who to trust from the same sources people do. In our 137-company research, AI Overview and ChatGPT citations correlate at 0.91: one authority pool, read by every machine.

Credibility test

How to tell real LLM SEO from repackaged vibes

The test is simple, and we invite you to apply it to us: ask for the baseline and the re-run method. Real AI visibility work starts by capturing where you appear today across a fixed panel of your buyers' actual prompts, then re-runs the same panel on schedule so movement is visible and attributable. No baseline, no method, no accountability. That test is also why we publish our research openly: five studies with open methodology on how AI engines actually pick sources. We measure this field for a living; the programme is the same measurement pointed at your brand.

Commercial guardrail

This is not a how-to checklist. It is the AI visibility layer of authority strategy.

The work connects buyer prompts, category pages, comparison assets, editorial authority, community citations and content updates into one system. If you want the editorial engine underneath it, start with our SaaS link building programme. If you want the informational guide, the blog covers that separately.

How AI visibility becomes commercial

First you are discoverable. Then you are evaluated. Then you are trusted enough to convert.

Discover

Can AI systems find enough proof?

We identify your ICPs, what their actual buyers look like, and the prompts, queries, sources, lists, forums, directories, articles, and product pages that shape category answers.

Evaluate

Do they understand why you belong?

We map those buyers to AI prompts, Google searches, and comparison journeys, then strengthen the pages, category assets, and third-party proof that help your product appear in shortlists.

Convert

Does the answer create buyer confidence?

We audit where you already have authority, reinforce the pages and proof assets that can genuinely compete, and connect AI visibility back to reporting your team can use.

AI visibility proof

The point is not novelty. The point is whether buyers see you in the answer.

Allied health SaaS Took over AI answers for practice-management queries.

A regulated market where visibility needed to be credible, not noisy.

 Web scraping SaaS GEO campaign case study.

A category where AI answer ownership depends on authority across many corroborating sources.

 Research library Five published studies on how AI picks sources.

Open methodology, built from the same measurement system we point at customers.
Research-led visibility

The AI visibility layer is messy. That is why the strategy needs evidence.

01 SaaS AI Citation Gap Report

Original research on where SaaS brands lose visibility between Google rankings and AI recommendations.

 02 Reddit citations in AI search

How community discussions can become part of the recommendation layer buyers see inside AI tools.

 03 Directory listings and AI citations

Why third-party list presence still matters when AI systems compare products in a category.

 04 LLMs.txt study

How emerging AI access files may help shape how systems discover and process website content.

 05 Query fan-outs in AI search

How one buyer question can expand into many hidden sub-queries before an AI answer is produced.
What EMGI builds

Authority signals across the places AI systems learn from.

B2B SaaS AI visibility
Editorial proof Community presence Comparison assets Entity consistency Commercial pages
The Authority Roadmap

The same programme, framed for AI visibility.

Starts from $4,000/month. Most customers invest $4,000 to $10,000/month depending on how competitive the category is, how fragmented the AI answer surface is, and how fast we need to move.

Buyer and prompt diagnosisICP analysis, buyer visualisation, prompts, queries, competitors, citations, answer sources, and priority pages.
Page and authority auditExisting pages, authority levels, semantic positioning, content gaps, internal links, and where you can genuinely compete.
Custom authority executionEditorial mentions, relevant backlinks, Reddit, Quora, community signals, directories, comparison assets, and content updates where they support the roadmap.
MeasurementAI citations, share of voice, target-page movement, search visibility, authority gap reduction, and commercial next steps.
What the work looks like

LLM SEO is not one technical fix. It is authority building for the AI evaluation layer.

AI systems do not only read your website. They build confidence from patterns across pages, citations, lists, discussions, comparisons, and trusted third-party sources. The work is to map the buyer, understand the prompt journey, and make those authority patterns stronger and easier to corroborate.

We map where answers are coming from.

We look at the buyer, the prompts they might use, which competitors are appearing, which sources are being cited, and which pages or third-party surfaces seem to shape the answer.

We strengthen the proof AI systems can find.

That can include editorial mentions, relevant backlinks, directories, Reddit, Quora, community signals, comparison content, product-led pages, internal links, and clearer entity consistency across the web.

We connect AI visibility back to commercial pages.

The aim is not to be visible for novelty. The aim is to support the buying journey, strengthen evaluation, and make your brand easier to choose when prospects compare options.

Good fit

Best for SaaS teams that already care about authority and category visibility.

  • Your buyers are using AI tools, Google, communities, and comparison content to shortlist vendors.
  • You have competitors appearing in answers, lists, or communities where you should be present.
  • You want AI visibility connected to SEO, content, digital PR, and commercial page strategy.
  • You are comfortable with a strategy-led programme rather than a one-off technical checklist.
Probably not the right fit

Not for teams looking for a magic AI ranking switch.

  • You want a guaranteed citation in ChatGPT from one small change.
  • You do not have a clear category, ICP, or product positioning to reinforce.
  • You only want technical files added to the site without off-site authority work.
  • You do not want to invest in the pages and proof assets AI systems use to understand the brand.
LLM SEO FAQ

Questions we get asked about AI visibility

If buyers ask AI instead of Google, do links still matter?

More than before. AI recommends broadly the same brands Google ranks: in our research, AI Overview citations and ChatGPT citations correlate at 0.91, and brand authority predicts citations at r = 0.76 while raw traffic manages 0.23. Links and mentions are how the machines learn who to trust.

Is LLM SEO different from normal SEO?

The foundations overlap almost completely; the machines reading you differ. Classic SEO optimises pages for rankings. LLM SEO positions your brand as an entity across the sources models learn from, which is mostly off your own site. One authority strategy lifts both, which is why we sell one programme rather than two.

Can you guarantee we will show up in ChatGPT?

No, and be sceptical of anyone who says yes. What we do instead: capture a baseline of where you appear across the AI surfaces before we start, build the authority and content the machines demonstrably respond to, and re-run the same panel quarterly so you can see movement or fire us.

Do things like llms.txt and schema markup get us cited?

We tested this properly. Our crawl of 3,254 SaaS sites found llms.txt adoption at 42% with zero relationship to citations, and controlled industry testing shows schema alone does not move AI citations either. Ten-minute hygiene, yes. Strategy, no. The levers that work are authority, mentions and citable content.

How do you measure AI visibility?

A fixed panel of real buying prompts for your category, captured across ChatGPT, Google AI Overviews, Claude and Gemini, scored on where you are named and cited, re-run quarterly against the baseline.

Ready to improve B2B SaaS AI visibility?

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