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.

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.

Authority has to work across four surfaces.

Content

Pages that answer the buying question.

Citations

Editorial proof from relevant sources.

Communities

Conversations buyers already trust.

Comparisons

A place on the deciding shortlist.

The outcome is visibility, not another dashboard.

Parking lot: what stays off the roadmap

We do not sell

  • Hours worked and effort reports
  • DR quotas and link counts as the outcome
  • Keyword volume dashboards
  • AI tracking sold as if tracking were the work

We move

  • Presence on the shortlists buyers actually see
  • Rankings on money pages
  • Citations in ChatGPT, Claude, Gemini, and AI Overviews
  • Pipeline you can trace to search
Two ways to work with EMGI

Do you already know exactly which pages need authority?

Yes, we have the map

SaaS Link Building

From $3,000/month

The editorial engine, pointed at your money pages. Relevant publications, a Priority Page Map and placement reporting.

$300 to $500 per link. The mix follows your category and the quality of the opportunities.

View the engine →
No, map it for us

LLM SEO + AI Visibility

From $4,000/month

Diagnosis first. Then content, authority and AI visibility, measured against the baseline we capture with you.

Start with the map →
The additional layer

Strategy + AI visibility

+ $1,000 / month

Customer and market diagnosis. An Authority Roadmap. A panel of 30 buyer prompts and a share-of-voice ledger.

The link building engine

From $3,000 / month

Editorial placements, publisher vetting, the Priority Page Map and movement reporting.

The working, in plain sight

Link building engine
$3,000
Strategy + AI visibility layer
+ $1,000
Full programme, from
$4,000/mo
Annual starting investment
$4,000 × 12 = $48,000

For illustration: at $12,000 gross profit per new customer, four incremental customers cover that annual starting investment. We run this with your actual margins and close rates.

Ask ChatGPT which tools it recommends in your category. Does it name you? That is a useful place to start the conversation.

Talk through your category

The final scope follows the roadmap. If we cannot see a credible way to move the needle, we will say so on the call.

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?

noun / also GEO, AEO, AI visibility

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.

  • Show the baseline before the work begins.
  • Show the buyer prompts and the re-run method.
  • Show what changed, with the sources to check it.
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.

The AI visibility roadmap

First we learn the category. Then we build the authority that moves buyers.

Four connected zones turn customer intelligence into measurable presence across search and AI answers.

Built around your buying journey, not a generic keyword list.

Zone 1: Immersion
weeks 1-4

We learn your business like a new hire

Inside your company

  • Sit in your sales calls
  • Read your support tickets
  • Interview founders and experts

Inside your market

  • Industry podcasts and communities
  • The publications your buyers read
Output Real expertise on paper. This is where the experience and authority in every asset comes from.
Zone 2: The map
revenue, not keywords

Find where the money actually hides

Buying-moment pages

  • Alternatives pages for buyers leaving competitors
  • Head-to-heads for the deals you lose

The deciding lists

  • Best-of lists that already own your category
  • Yours to write, theirs to enter
Output A market map where every target is tied to a buying moment.
Zone 3: Build
proof in the right places

Build the signals AI systems can corroborate

Assets you own

  • Category and comparison pages
  • Research, expert content, and internal links

Proof others publish

  • Editorial links and brand mentions
  • Communities, lists, reviews, and digital PR
Output A connected authority system around the pages that influence evaluation and conversion.
Zone 4: Scoreboard
measure, learn, repeat

Show what moved and decide where to go next

Visibility

  • AI citations and share of voice
  • Target-page rankings and shortlist presence

Commercial signals

  • Qualified traffic and influenced pipeline
  • The next highest-value gaps
Output An executive-ready scoreboard and a sharper plan for the next cycle.
  1. Measure
  2. Re-map
  3. Build
  4. Place

Measure feeds the next map. The pages, placements and sources we build become the evidence for the next cycle.

Receipts

Authority should leave evidence behind.

1,000 to 17,000

Prospeo monthly organic visits, crossing $1.5m ARR during the engagement.

8 to 44

ConstantHire inbound sales calls a month, reached in eight months.

11 days

From publishing to an AI citation. AI traffic then moved from 49 to 185 sessions.

AI visibility proof

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

Research-led visibility

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

What EMGI builds

Authority signals across the places AI systems learn from.

Editorial proof, comparison assets, communities, entity consistency and commercial pages corroborate your brand. YOUR BRANDthe entity Editorial proof Comparison assets Community presence Entity consistency Commercial pages
The prompt panel / illustrative questions

Your buyers’ questions, re-run against the baseline.

We agree a fixed panel of 30 buyer prompts during diagnosis. These examples show the questions, not client results.

  • Discovery Which tools solve [buyer’s problem]?
  • Evaluation How does [your product] compare with [competitor]?
  • Validation What do customers say about [your product]?

For each re-run: record the engine, date, brand mentions, cited sources and shortlist position. Compare the same questions over time.

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.

The working library

See the experiments and thinking behind the programme.