Top Agencies For LLM Citation And Brand Mention Building

Ranking first and being quoted are now two different outcomes. A buyer who asks an assistant which tools to shortlist often never sees a results page at all. They see a short answer with a handful of brands named in it, and the brands that are not named do not get a second chance further down the page.

That has created a category of agency work that did not exist three years ago. These firms are not trying to move a page from position six to position three. They are trying to change what a model says when someone asks a question in your category, which means getting your brand into the sources those models draw on and keeping it there through model updates.

The category is also full of vendors who measure the problem rather than fix it. Tracking where you are cited is useful, but it is a dashboard, not a campaign. If you want to compare the measurement side separately, our list of top AI visibility tracking tools covers the software, and our GEO agency list covers firms working on the broader generative search picture. If the terminology is still new, our guide to what generative engine optimization actually is sets out the mechanics behind all of it.

The firms below all do placement and influence work rather than reporting alone. They differ sharply in method, which is the thing worth paying attention to when you shortlist agencies for LLM citation building.

Top Agencies For LLM Citation And Brand Mention Building At A Glance

Agency	Based	Approach	Best For
iPullRank	New York, USA	Technical, passage-level	Complex sites with structural problems
Graphite	San Francisco, USA	Research-led GEO	SaaS teams that want a documented method
Omniscient Digital	USA, remote	Content ecosystem	B2B SaaS with budget for a full programme
Siege Media	USA, remote	Original research and digital PR	Brands that need both links and mentions
NoGood	New York, USA	Growth marketing and AEO	Teams that want testing, not theory
Minuttia	Europe, remote	Combined organic and AI search	Mature SaaS sites with existing traffic
Embarque	Remote	Query and content optimization	Lean teams needing efficient output
Flying Cat Marketing	Remote, multilingual	International organic and AEO	SaaS selling across several markets
Hamster Garage	Chicago, USA and Lahore	Publisher and affiliate placement	Brands in review-heavy categories
Click Intelligence	United Kingdom	Combined SEO, AI search and placement	Buyers wanting one supplier for both

Best Agencies For LLM Citation And Brand Mention Building To Consider In 2026

1. iPullRank — Passage-Level Optimization And The Relevance Engineering Framework

iPullRank comes at AI citation from the engineering side. The firm’s Relevance Engineering framework treats the passage rather than the page as the unit models actually retrieve, which leads to work on schema, chunking and internal structure rather than on publishing more articles.

That makes it a strong fit when the reason you are not being cited is structural. Large sites, complicated information architecture and content that is technically hard for a retrieval system to parse are the situations where this approach earns its fee. Buyers whose problem is simply that nobody has written about them will get less from it.

• Approach: passage-level optimization, schema, retrieval structure
• Suits: enterprise and large content estates
• Location: New York, USA

2. Graphite — Original Research Into How Each Model Picks Its Sources

Graphite publishes its own research on how citation behaviour differs between models, which is unusual in a category where most vendors keep their method vague. That research is the reason to consider them: you can read the thinking before you buy it.

The client roster skews toward consumer-facing and subscription businesses, and the work sits inside a broader growth programme rather than being sold as a standalone AI visibility retainer. Buyers looking for a narrow, cheap citation package should look further down this list.

• Approach: research-driven GEO inside a growth programme
• Suits: funded SaaS and subscription businesses
• Location: San Francisco, USA

3. Omniscient Digital — Content Ecosystems Built So The Citations Follow

Omniscient Digital’s argument is that citation is a downstream effect of having the most useful material in a category, not a separate discipline to bolt on. The work is content strategy, production and distribution run as one programme, with AI visibility treated as an outcome to measure rather than a service line to sell.

This is the most expensive way to approach the problem and also the most durable, because the assets keep working when a model changes how it retrieves. It suits companies that were going to invest in content anyway and want that investment pointed at the right surfaces.

• Approach: content ecosystems, distribution, measurement
• Suits: B2B SaaS running a full content programme
• Location: USA, remote

4. Siege Media — Research Assets That Earn Links And Citations Together

Siege Media built its reputation on original research and design-led content that publications want to reference. That same asset type is what language models tend to pull from, so the firm arrived in this category by doing what it already did rather than by repositioning.

The practical benefit is that one campaign serves two goals. A cited statistic earns editorial links and shows up in AI answers, which makes the budget easier to justify internally than a pure citation retainer.

• Approach: original research, data studies, digital PR
• Suits: brands funding one programme for links and mentions
• Location: USA, remote

5. NoGood — Growth Experiments Run Across Multiple Model Surfaces

NoGood approaches AI visibility the way it approaches paid and lifecycle work, as a testing problem. The team tracks brand presence across a range of assistant platforms and runs experiments against it rather than committing to a single method up front.

That suits organisations comfortable with an experimental cadence and monthly reporting on what moved. It suits less well if you need a fixed scope agreed before work starts.

• Approach: multi-platform tracking with growth experiments
• Suits: in-house growth teams wanting an experimental partner
• Location: New York, USA

6. Minuttia — Established SaaS Sites, Google And AI Search Together

Minuttia works with software companies that already have organic traction and want to keep it while adding presence in AI answers. The firm treats the two as one strategy, which avoids the common failure of an AI visibility project quietly damaging pages that were performing.

It is a better fit for an established site with something to protect than for a new brand starting from nothing. If you have no organic footprint yet, there is less here to build on.

• Approach: combined organic and generative search strategy
• Suits: established SaaS sites with existing rankings
• Location: Europe, remote

7. Embarque — Query-Level Optimization For Assistant Surfaces

Embarque works at the level of the specific question a buyer types, mapping the queries that matter in a category and building content aimed squarely at them. The firm publishes case detail on traffic earned from assistant surfaces rather than only from search engines.

The model is built for efficiency, which makes it accessible to companies without an enterprise content budget. Buyers wanting deep technical or PR work alongside the content should pair it with another supplier.

• Approach: query mapping and content built to be quoted
• Suits: lean marketing teams and earlier-stage SaaS
• Location: remote

8. Flying Cat Marketing — International Organic Growth With Answer Engine Work Built In

Flying Cat Marketing focuses on B2B SaaS growing across multiple languages and markets, with answer engine optimization treated as part of that rather than a separate product. Multilingual work matters here because citation behaviour is not consistent across languages, and a strategy built only for English leaves the rest of the footprint untouched.

This is the clearest fit on the list for companies with genuine international revenue. For a single-market business the multilingual capability is capacity you will not use.

• Approach: multilingual organic growth with AEO
• Suits: B2B SaaS selling into several language markets
• Location: remote, multilingual team

9. Hamster Garage — Placement On The Publisher And Affiliate Pages Models Quote

Hamster Garage works the supply side. Rather than optimizing your own pages, the team concentrates on getting the brand onto the publisher, comparison and affiliate pages that assistants tend to draw from when a buyer asks for recommendations.

In categories where the answer is assembled from third-party roundups, that is often the fastest lever available. It is a poorer fit in categories where models cite primary documentation or vendor sites directly.

• Approach: citation distribution through publisher and affiliate placement
• Suits: review-driven and comparison-heavy categories
• Location: Chicago, USA and Lahore, Pakistan

10. Click Intelligence — Search, AI Search And Placement Under One Roof

Click Intelligence sells SEO, AI search, link building and digital PR as a single menu, which suits buyers who would rather not coordinate three suppliers. The placement side is the mature part of the business and the AI search work draws on that same publisher network.

The breadth is the appeal and also the caveat. Ask which named people would be on the AI search portion of the account, since generalist agencies can staff that thinly.

• Approach: SEO, AI search, link building and digital PR
• Suits: buyers consolidating suppliers
• Location: United Kingdom

How To Choose An LLM Citation And Brand Mention Partner

This category is young enough that the pitch decks look identical. These questions separate the firms doing the work from the firms describing it.

Is The Agency Changing What Models Say, Or Only Measuring It?

Tracking tools are cheap and getting cheaper. If the deliverable is a dashboard plus a monthly commentary, you are buying reporting. Ask what specific action the team takes when a competitor is being cited and you are not, and listen for whether the answer involves publishing, outreach and placement or only observation.

Which Surfaces Does The Work Actually Cover?

Assistant platforms do not source answers the same way. One leans on live retrieval and visible citations, another on training data, another on a search index behind the scenes. An agency that names the surfaces it works on, and admits which ones it cannot influence, is being straight with you.

Where Do The Citations Come From In Your Category?

Before signing anything, ask the agency to show you where answers in your category are currently sourced from. If it is third-party roundups, you need placement work. If it is vendor documentation, you need your own material restructured. The right method depends on that answer, so an agency that prescribes before diagnosing is guessing.

How Is Success Reported, And Against What Baseline?

Share of voice across a prompt set is the most common metric, and it is only meaningful if the prompt set was fixed before work started and is not quietly edited later. Ask to approve the prompts, ask how often they are run, and ask what happens to the number when a model updates.

Does The Approach Survive A Model Update?

Anything that works because of a quirk in how one model retrieves this quarter will stop working. Durable results come from being genuinely the most useful, most referenced source in a category. Ask what the team would expect to still be delivering value in eighteen months, and treat a vague answer as your answer.

Conclusion

Citation work is worth buying when your category is one where buyers ask an assistant before they ask a search engine. In categories where that has not happened yet, the same budget spent on conventional organic growth will do more.

When it is worth buying, choose on method rather than on claimed results. The numbers in this category are early, self-reported and hard to verify, while an agency’s method is something you can interrogate in a first call. Ask where the citations in your category come from today, and pick the firm whose approach matches that answer. For adjacent shortlists, our answer engine optimization agency list and our AI reputation management companies list cover neighbouring parts of the same problem.

If you want to feature your agency for LLM citation on this list, email us or submit a form in the Top Choices section. After a thorough assessment, we’ll decide whether it’s a valuable addition.