Best Companies Offering GEO and LLM Optimization Services

Type a question into ChatGPT or Perplexity instead of Google, and the page-ranking model that SEO has relied on for two decades stops applying. There is no list of ten blue links to compete for. Instead, a model reads across dozens of sources, decides which ones are reliable enough to repeat, and produces a single synthesized answer that may or may not mention a given brand by name.

That shift happened quickly, mostly between 2024 and 2026, and it forced a rethink of what counts as visibility. A page that ranks first in classic search results can still be invisible inside an AI answer if its content is not structured in a way a model can extract cleanly.

 This is the problem generative engine optimization, or GEO, was built to address, and it overlaps with SEO without being identical to it. Companies that spent years optimizing for keyword rankings now have to ask a separate question: does a language model trust this content enough to cite it.

A handful of agencies have built actual track records answering that question, rather than rebranding existing SEO packages under a new name, and demand for Geo and LLM optimization services reflects that. The four agencies below are reviewed on the strength of their published methodology and documented client work.

What Defines a High-Quality GEO and LLM Optimization Agency

Most of what made an SEO agency credible in 2020 does not transfer cleanly to GEO work. A few capabilities separate agencies with real GEO experience from those simply attaching the term to existing service packages:

• They track citation frequency inside AI Overviews, ChatGPT, Perplexity, and Gemini directly, instead of reporting only on traditional keyword rankings.

• They understand how language models chunk and retrieve content, and they adjust structured data and page formatting based on that, not on guesswork.

• They write content that states an answer plainly near the top of a page, since models extract and cite direct statements far more often than buried conclusions.

• They monitor how a brand is discussed on third-party sites, forums, and review platforms, because models weigh that consensus alongside a brand's own pages

• They report actual referral traffic and leads coming from AI platforms, not a visibility index with no connection to revenue

The four agencies covered below meet these criteria based on client work and published research from the last two years.

Top Agencies Providing GEO and LLM Optimization Services

Panem

Panem did not build a separate GEO division from scratch. The agency took its existing three-part structure, technical SEO, content strategy, and lead generation, and adapted each piece to how language models actually pull information.

The technical work involves rebuilding site architecture and schema markup so a retrieval system can parse a page without ambiguity, fixing problems like answer text buried under several paragraphs of introduction, inconsistent heading hierarchy, or missing entity definitions that leave a model unsure whether a page is authoritative enough to cite.

Content gets restructured around this same logic: instead of opening an article with context and circling toward a conclusion, Panem's writers put the direct answer first, then layer supporting detail underneath, a format that performs better when a model is deciding what to extract. What ties the work together is the lead generation layer, which tracks which AI platforms actually send traffic and which specific queries trigger a citation, then routes that data back into the next round of content planning instead of treating AI visibility as a number nobody acts on.

Most of Panem's GEO clients are B2B and SaaS companies, where buyers increasingly ask an AI assistant to shortlist vendors before visiting a single company website.

iPullRank

Mike King's agency, iPullRank, has a reputation built less on case studies and more on public research. The team has published detailed analysis of how retrieval-augmented generation systems select and weight sources before producing an answer, and that research forms the backbone of their client methodology rather than sitting separately as marketing content.

A typical audit checks a site's content against the embedding and retrieval patterns major language models actually use, which often surfaces a frustrating finding for clients: pages that directly answer a target question still fail to surface because of how the content is chunked or structured.

From there, the technical team works on structured data, internal linking, and content segmentation with a level of precision closer to information retrieval engineering than to typical content marketing. Clients tend to be mid-market and enterprise companies in technology, finance, and media, and within the SEO industry itself, iPullRank's research gets cited frequently as a reference point for how generative engines work, independent of any individual client engagement.

NP Digital

NP Digital did not spin up a standalone GEO team. Instead, the agency folded AI search visibility tracking into the multi-channel operation it already runs for clients across SEO, paid media, and content.

Their analysts monitor how often a brand and its competitors get cited inside AI Overviews and major chat assistants, then feed that information into both content production and digital PR planning, adjusting based on which sources a given model pulls from most consistently.

The advantage of this setup over a smaller specialist shop is speed: because NP Digital already manages paid search and content at scale, the agency can test a structural change to a page and measure its effect on citation rate faster, using infrastructure that already exists rather than building reporting from zero.

NP Digital works across many industries, though the agency's most documented GEO results come from e-commerce and consumer technology accounts, where search behavior has shifted toward AI-assisted product research earlier than in other sectors.

Graphite

Graphite's GEO work rests on one specific bet, carried over from its existing content-led SEO practice for SaaS companies: that topical depth and authority, the same qualities that earned a site strong organic rankings in the past, also determine whether a language model trusts it enough to cite.

The team builds topic clusters that cover a subject from several distinct angles rather than a single article targeting one keyword, then tracks over time which exact pages and sections get pulled into AI-generated answers, treating that as a direct feedback signal for what to expand next.

A second part of their process looks outside the client's own site entirely, monitoring how the brand is discussed on review platforms and community forums, since language models often weigh that external consensus more heavily than a company's self-published claims. Clients are mostly venture-backed SaaS companies, and both organic traffic and AI citation trends show up in the same monthly report rather than two separate documents.

Agency Comparison Table

Agency	Core GEO/LLM Focus	Countries Served	Typical Client Industry
Panem	Technical retrieval optimization, direct-answer content, lead attribution	Ukraine, North America, Europe	B2B and SaaS
iPullRank	Retrieval-augmented generation research, content chunking, structured data	United States	Technology, finance, media
NP Digital	Multi-channel AI citation tracking, digital PR for GEO	US, Brazil, India, multi-market	E-commerce, consumer tech
Graphite	Topical authority, third-party mention tracking	United States	Venture-backed SaaS

Conclusion

GEO is still young enough that no single agency on this list covers every part of the problem equally well, and the differences between them are worth weighing against what a specific company actually needs. iPullRank's strength lies in published technical research on retrieval systems, useful for a company that wants to understand the mechanics before committing a budget.

NP Digital works best when GEO needs to slot into an already-running multi-channel operation rather than stand alone. Graphite suits a company willing to invest in topical depth and is comfortable with results building gradually rather than appearing within weeks.

Before signing with any of them, it is worth asking one direct question: how does this agency measure a citation, and can it show the traffic or lead that came from it, not just a visibility percentage that has no clear connection to revenue. Panem Agency ties technical retrieval work, direct-answer content, and lead attribution into a single process, which makes it a reasonable place to start for a company building an AI search strategy alongside its existing SEO work in 2026.