10 best LLM SEO agencies for SaaS in 2026

Your CEO opens a laptop in the Monday marketing meeting and types the thing your buyers type: "What's the best knowledge base software for a 200-person support team?"

ChatGPT answers with five products. Two are competitors you've beaten in head-to-head deals. You're not in the answer.

Then comes the question you can't answer in the room: why do they get recommended and we don't?

Nothing in your monthly report explains that screen. Rankings held, traffic looks flat, and your agency's answer is a GEO line item plus a new dashboard.

That's when most teams start looking for the best LLM SEO agency for SaaS. The problem is that most vendors selling it added it to an existing service menu in the last eighteen months, and from the outside they look identical to the ones who rebuilt around it.

So this article compares ten of them on model, key services, what each one actually does differently, and price.

Best LLM SEO agencies for SaaS at a glance

The 10 best LLM SEO agencies for SaaS in 2026

Each entry covers what the vendor is built around, what they sell, and what it costs.

1. Usama Khan Consulting

Best for: B2B SaaS companies that want SEO and AI visibility run as one program by the senior person, and connected to pipeline, not vanity metrics.

I run Usama Khan Consulting as a boutique LLM SEO agency for B2B SaaS. You get everything a full-service SEO agency offers, strategy, content, backlinks and AI search visibility, run by the senior strategist you actually hired.

The usual pattern I noticed working with traditional SEO agencies is that a senior wins the account and then it moves to a manager already carrying 6 to 12 others, with the writing handed to a junior.

My roster stays capped so that doesn't happen. The person who pitches you builds the strategy, edits every page, and stays your single point of contact. I bring in vetted specialists when the work needs them, and I oversee what they produce.

AI search strategy sits inside the SEO work, never beside it or sold separately. I audit your brand’s AI search standing at the start, the gaps shape the strategy and content, and I track it through the engagement and form monthly strategies based on new information.

Two results give you a sense of what that produces. livepro went from 80 to 203 top-ranking keywords and now gets cited and recommended in AI answers for 20+ buyer-intent searches. A CMMS client went from 35 to 210 demo requests a month.

Key services

• AI search visibility: I find which buyer-intent prompts you aren't recommended for in LLMs like ChatGPT and Claude, and work on getting you named in those answers. I track two things separately: whether you get named, and whether your pages get used as the source. You can do this with any AI visibility tool, and I use tools like Searchable alongside the audit I built myself. Being named is the one that fills your pipeline, because that's what a buyer copies into their shortlist.
• Third-party mentions and citation outreach: I find the pages models already cite for your buyer-intent prompts and pitch those owners to include you. Where they say no, I work backward from the keyword and pitch the other articles ranking for the same query. Each placement puts you in front of a buyer at the moment they're deciding who to shortlist.
• Bottom-of-funnel keyword strategy: I start with the money-making terms buyers search when they're close to a decision, then work up the funnel once those are covered. Those are also the searches that turn into product recommendations inside an LLM. This traffic arrives ready to book a demo, which is why it converts several times better than top-of-funnel visits.
• ICP research before keyword research: An onboarding form plus your sales call transcripts show me how buyers describe their problem. That's the same language they use when they describe their situation to ChatGPT, and keyword tools don't carry it. A page written in your buyer's own words is what gets them to book once they land on it.
• Content with product depth: Demo recordings, product documentation and stakeholder interviews when possible get consolidated into a knowledge base every piece is written from. Every page states what your product does, who it fits, which use case it solves, and how it differs. A buyer recognizing their exact situation on the page is what turns a visit into a demo request, and it gives a model something concrete to match them against.
• Backlinks pointed at revenue pages: Authority goes to the pages that need to rank for your money terms instead of getting spread across the blog. That authority is what lets you compete for the terms your buyers actually search, which is where the demos come from.
• Consistent brand descriptions across third-party sources: G2, directories and other people's roundups all need to describe you accurately. If they describe you as serving an audience that isn't your ICP, a model reads a different story than your own site tells. When every source agrees on who you serve, you get recommended to the buyers who can actually close.
• Reporting tied to inbound leads: The number I answer for is demos and signups from organic. You see which pages produced which demos, so the budget goes where the pipeline is.

Client testimonial

"I hired Usama to handle SEO content marketing for Touchdown, and the results have been excellent. In just three months, he grew our organic traffic significantly. Usama combines strong SEO knowledge with an understanding of how buyers actually search. His work got our pages to rank in AI overviews and LLMs like ChatGPT. We're also now generating qualified leads directly from there."

Semyon Germanovich, Founder at Touchdown

Pricing

Strategy only starts at $2,450 per month. Most companies hire me to manage and execute the whole program, and that starts at $4,950. Contracts are rolling monthly with no annual lock-in.

2. Omniscient Digital

Three former in-house growth marketers founded Omniscient Digital. They take on a company's whole organic program: strategy, content production, technical work, links and digital PR under one engagement.

GEO is a named service line inside that engagement, priced and scoped alongside everything else.

They publish four phases: research and strategy, implementation, performance monitoring, then iteration. Their Smartling case study reports $3.7M in pipeline, and named clients include Jasper, Order.co and RightCapital.

Key services

· SEO strategy

· Generative Engine Optimization

· Content production

· Programmatic SEO

· Technical SEO

· Link building and digital PR

· Conversion rate optimization

· Digital analytics

Pricing

Full-service engagements start at $10,000 per month, published on their own site.

3. Grow and Convert

Pain Point SEO is Grow and Convert's name for targeting terms tied to a buyer's actual problem. Comparison pages, alternatives pages and "best tool for X" searches sit at the centre of it.

They've since extended the same thinking into two named GEO approaches, Prioritized GEO and Topic-Based GEO. They also built Traqer.ai, their own AI visibility tool.

Key services

· Content and SEO

· Content and GEO

· Content strategy

· Content writing

· Technical SEO

· Paid search

Pricing

Engagements start at $9,000.

4. Omnius

Omnius takes on three verticals: SaaS, fintech and AI companies.

Their published argument is that the pieces of organic growth can't be separated, so they cover the technical and the creative side in the same engagement. They built Atomic AGI, their own AI-native analytics platform, for visibility tracking, audits and optimization tasks.

Their GEO page names four specifics: AI crawler optimization, LLM content scoring, source citation monitoring and zero-click query targeting.

Key services

· B2B SEO

· Generative Engine Optimization

· Answer Engine Optimization

· Content marketing

· Programmatic SEO

· Web development and CRO

Pricing

Not published on their site.

5. Skale

Skale is a SaaS-only SEO agency, based in London. AI Brand Mentions is a service line of its own on their site, sitting next to Generative Engine Optimization. Flodesk, Happy Scribe and Piktochart are among the published clients.

Key services

· Generative Engine Optimization

· AI Brand Mentions

· SaaS SEO

· Link building and outreach

· Content production

· Website migrations

Pricing

Not published on their site.

6. iPullRank

Mike King founded iPullRank and named its method Relevance Engineering. It targets how a model retrieves and assembles an answer, covering query fan-out, passage retrieval, embeddings and synthesis.

They publish original technical research on AI search retrieval, including conference talks and their own tooling.

The client roster is enterprise: Target, MLB, American Express, the Wall Street Journal, Adidas and CVS.

Key services

· Relevance Engineering

· Generative Engine Optimization

· AI search strategy

· Content strategy and content engineering

· Technical SEO

Pricing

Not published on their site.

7. Siege Media

Siege Media repositioned the agency around GEO and now runs digital PR, Reddit marketing and research reports as named service lines. Their line is "we make brands the answer in search."

DataFlywheel is their term for data-backed content updates shipped at speed, and BlueprintIQ is a named strategy product.

Key services

· Generative Engine Optimization

· Content strategy and creation

· Digital PR

· Reddit marketing

· Research reports

· Graphic and web design

Pricing

Not published on their site.

8. Graphite

Graphite runs a research function at the core of the agency. Their pitch is finding the small share of strategies that move AEO and SEO, then executing only those at volume. Webflow, BetterUp, MasterClass, n8n and Hinge Health are the named clients.

Key services

· Answer Engine Optimization

· SEO

· Performance marketing research

Pricing

Not published on their site.

9. NoGood

NoGood puts squads on accounts, drawn from paid, organic, creative and analytics. AEO is one line in a thirteen-service menu that runs from paid search through to fractional CMO.

They built Goodie AI, their own answer engine optimization platform, which tracks brand visibility across ChatGPT, Gemini and Perplexity.

Key services

· Answer Engine Optimization

· SEO

· Content marketing

· Paid search and social ads

· Conversion rate optimization

· Marketing analytics

· Fractional CMO

Pricing

Their site states that retainers average above $20,000 per month.

10. Embarque

Embarque’s prices are set by how many services you switch on, so a founder can work the number out before booking a sales call.

The model is a subscription with a money-back guarantee attached. LLM SEO and AI citations sit in the same menu as content, backlinks, technical SEO and programmatic SEO.

VEED and Riverside are named clients, alongside MentorCruise and Instatus.

Key services

· Content creation

· Backlink building

· Technical SEO

· LLM SEO and AI citations

· Generative and Answer Engine Optimization

· Conversion rate optimization

· Programmatic SEO

· Reddit marketing

Pricing

Published tiers on their own site. Lean at $1,500 a month for one service, Growth at $2,800 for two, Scale at $5,200 for four, and Enterprise at $10,000 for eight.

Do you actually need a dedicated LLM SEO agency?

G2 surveyed 1,076 B2B software buyers in March 2026 and found 51% now start their research in an AI chatbot more often than in Google. Those chatbots came back as the top influence on which vendors make a shortlist.

But for most B2B SaaS companies the answer is still no. The things that get you recommended by a model are the same things that get you ranking and getting mentioned, which means a search partner with AI visibility built in covers it.

Think about what a model is doing when it answers "what's the best knowledge base software for a 200-person support team?" It's matching a described situation against the specific content it can find and trust. If your pages don't say what your product does, who it fits, and how it differs, there's nothing concrete to match you against.

That's why buying GEO first tends to disappoint. You're paying to be recommended for something the model has no reason to recommend yet, because the pages that would justify it don't exist, unless you’re a BIG BRAND in your category, think HubSpot.

If your bottom-of-funnel pages already rank, already say what you do in your buyer's language, and models still don't name you, then your gap is distribution and third-party sources. Boutique consultancies like me offer this as part of the SEO engagement.

How to tell a built-in AI search practice from a bolt-on

Once you've decided to buy, these are the five questions that separate the vendors who rebuilt around this from the ones who added a line to the deck.

When in the engagement does the AI visibility audit run?

The answer that matters is "at the start, and it shapes the content plan." An audit that runs in month four is a reporting add-on, because by then the content decisions it should have informed are already made.

Push for specifics: which prompts, run against which models, and compared against which competitors. A vendor with a real practice can answer all three without going away to check.

Are they optimizing to be cited, or to be recommended?

Being cited as a source and being named as the recommendation are different outcomes with different work behind them. A page can get cited in an answer that recommends your competitor.

I've seen plenty of reporting collapse the two into a single visibility score, which hides exactly the problem you're paying to fix.

Which pages will they pitch for mentions, and what happens when those say no?

An informed answer names the pages models already cite for your buyer-intent prompts, which is a list a vendor can only produce by having run those prompts first. Without it, you're paying for outreach to whoever replies.

A model pulls from a limited set of pages per prompt, and plenty of those owners won't respond. The useful part of the answer is what the vendor does next, which should be working backward from the keyword to the other articles ranking for the same query.

Who does the work after you sign?

The senior person on the pitch call isn't always the person on your account. Ask who runs it, how many years they've been doing this, and how many accounts they're carrying right now.

What does month one actually produce?

At $4,000 to $20,000 a month you should know whether month one delivers an audit, a content plan, published pages, or a dashboard login. All four are defensible answers, so the only bad outcome is nobody being able to tell you which one you're buying. Ask what gets published rather than what gets delivered, because a deliverable can be a slide deck.

What LLM SEO costs for SaaS, and why the lists disagree

There isn't one price range for this work, there are four models, and knowing which one you're shopping for saves you six sales calls.

A service-count subscription starts around $1,500 a month and scales by how many services you switch on. You get a defined scope and a knowable number, and you're buying execution rather than strategy.

A boutique retainer runs roughly $2,500 for strategy alone and $4,950 upward when someone else executes it. You get everything important you get from a full-service agency, plus a senior running your account. That's the band my own work sits in.

A full-program agency starts around $10,000 a month. That buys a team covering content, technical, links and digital PR under one engagement. But the offer and work itself isn't any different from what a boutique consultancy offers.

A multi-channel growth retainer runs above $20,000. Search is one of several channels there, so a team that only needs organic and AI visibility is buying more than it needs.

Show up when your buyer asks AI for options

The right partner for a B2B SaaS company runs search and AI visibility as one program. That's what gives a model a reason to name you instead of the competitor your CEO just read out.

Right now you probably don't know which prompts you're missing. That's a fixable gap and it takes one conversation to see it.

Book a free strategy call and I'll show you the buyer-intent prompts where you're invisible, and how you stack up against your competitors in AI answers.

FAQs about best LLM SEO agencies for SaaS

What's the difference between LLM SEO, GEO and AEO?

They describe the same work under three names. LLM SEO and Generative Engine Optimization both mean getting your brand named and your pages cited in AI-generated answers, and Answer Engine Optimization is the older term some vendors kept. I use LLM SEO here because that's what buyers search, but don't read a difference in capability into which acronym a vendor prints on their site.

How long does it take a B2B SaaS company to show up in AI answers?

It tracks how long your underlying work takes, because models pull from pages that rank and sources that mention you. If you already have ranking bottom-of-funnel pages, mention outreach can move things inside a couple of months, because the pages a model would cite already exist. Starting from nothing puts the content and authority timeline first. Be careful with anyone promising a fixed window.

Do I need an LLM SEO agency or just an AI visibility tool?

A tool shows you where you stand. It won't write the pages, pitch the third-party sources, or fix a product page that doesn't say who you're for. Buy the tool first if you want to size the problem, then decide whether you have the team to act on what it shows you.

Should a Series A SaaS company hire an agency or build this in-house?

One SEO hire can't run strategy and write the pages, so the salary is the floor rather than the total cost. You end up funding writers and outreach on top of it. In-house makes sense when the volume justifies a full team, and before that a boutique retainer usually gets you further per dollar.

How do I measure whether LLM SEO is working for a SaaS product?

Track prompt-level visibility against named competitors, split by whether you were named or just cited. Then watch inbound demos and signups, and add a "how did you hear about us" field to your booking form, because a buyer who finds you in ChatGPT often lands as direct traffic.

Which AI platforms should a B2B SaaS company prioritize?

Start with wherever your buyers already are, which for most B2B SaaS means ChatGPT first, then Google AI Overviews, Perplexity and Claude. The good news is that the work carries across. Specific pages and consistent third-party sources feed all of them, so you're not building four separate programs.

Author

Usama Khan

Founder, Usama Khan Consulting

Usama runs a boutique, revenue-focused SEO and AI search consultancy for B2B brands. He works with a capped number of clients each month, embedded as a senior fractional strategist. The goal is always the same: make organic a sustainable pipeline channel. When he’s not building search strategies, he’s probably watching cricket or learning more about coffee.

Follow for B2B marketing content