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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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Matt Emgi, founder of EMGI
Founder-led AI visibility A real person looking at how buyers find you.

Matt leads the strategy personally, connecting AI citations, search demand, content updates, and authority signals into one measurable roadmap.

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.

  • Customer intelligence from ICPs, reviews, sales calls, support tickets, positioning, and buyer pain
  • Search market intelligence across Google queries, AI prompts, SERPs, comparison pages, communities, and third-party sources
  • Authority analysis covering content, backlinks, mentions, internal links, semantic positioning, and competitor advantages
  • Custom execution across content updates, new content, researched briefs, editorial links, brand mentions, Reddit, Quora, digital PR, and third-party authority
  • 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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Watch the approach

AI visibility starts with how buyers actually evaluate you.

A short walkthrough from Matt on how EMGI finds the prompts, pages, sources, and proof gaps shaping whether SaaS brands get cited and recommended.

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.

01

Customer intelligence

We learn the business before we prescribe tactics: ICPs, economics, dream accounts, customer pain, reviews, sales calls, support tickets, positioning, and what makes you meaningfully different.

02

Search market intelligence

We map where buyers discover and evaluate solutions across Google, ChatGPT, Claude, Gemini, AI Overviews, comparison pages, communities, directories, and trusted third-party sources.

03

Authority analysis

We evaluate your content, current rankings, page authority, semantic positioning, internal links, mentions, backlink profile, competitor advantages, and the gaps holding back citations.

04

Strategy execution

Only then do we deploy the right mix of content updates, new assets, editorial links, brand mentions, Reddit, Quora, digital PR, directories, and third-party authority.

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.

Customer intelligenceICP research, customer pain, sales call language, reviews, positioning, product economics, and a living fact sheet.
Search market intelligenceQueries, prompts, SERPs, answer sources, competitor shortlists, review surfaces, communities, and comparison environments.
Authority analysisContent gaps, SXO fit, semantic positioning, internal links, backlink profile, mentions, page strength, and competitor advantages.
Strategy executionCustom execution across content, links, research, digital PR, community signals, directories, brand mentions, and reporting.
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

How do AI engines actually decide which brands to recommend?

Consensus and authority, not keywords alone. Our 137-company study found brand authority predicts AI citations far better than raw traffic, and 44% of top-ranked brands were still invisible to ChatGPT. The engines quote whoever the web consistently treats as the reference source for a topic.

Can you guarantee we will get cited by ChatGPT?

No, and nobody honest can. What we can do is show you which citations your category has already given away, which are winnable, and then show receipts as they land: screenshots of answers, citations, rankings, and share-of-voice movement.

How do you measure AI visibility?

Three ways: citation tracking across the queries that matter in your category, share of voice against competitors over time, and live checks of the prompts your buyers actually ask. We also recommend adding "How did you hear about us?" to signup flows where possible.

Is GEO separate from SEO? Do I need both?

It is one authority engine with two dashboards. The same authority that helps money pages rank is what gets brands quoted in AI answers. What changes is how we choose targets, build corroborating proof, and measure visibility.

What about Reddit and the other places AI answers pull from?

They matter, but only where the evidence points. We treat Reddit, Quora, communities, directories and review platforms as part of the visibility picture. No fake accounts, no astroturfing, no committed thread counts. We look at where your category answers are sourced from and go there.

Who should not buy this?

If you are pre-revenue, need leads this month, or sell outside B2B SaaS without a research-heavy buying journey, this probably is not the right spend. Authority building pays compound interest, and it needs real traction and a 6-12 month horizon to be worth your money.

Ready to improve B2B SaaS AI visibility?

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