ℹ️ Geodeck is built by the team behind Seofable, an AI-era SEO content tool. Seofable is listed in our directory as a clearly labeled featured listing; rankings and recommendations in this article are editorial.
What Is an LLMO Agency, and What Do They Actually Do?
An LLMO agency helps a brand get mentioned, cited, or recommended inside answers generated by large language models — ChatGPT, Perplexity, Gemini, and the AI Overviews panel that now sits above regular Google results. That's the whole job, stripped of marketing language. LLMO stands for Large Language Model Optimization, and it's the newest branch of a family tree that also includes GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) — more on how those actually differ below.
The problem: a lot of agencies just took their existing SEO service menu, renamed the PDF, and added "AI" to the header. Real LLMO work looks different from real SEO work in a few specific ways.
Content & entity optimization
This means restructuring content so an LLM's retrieval step can pull clean, quotable answers out of it — not just writing more blog posts. That includes clear declarative first sentences per section (the same technique used in this article), consistent entity naming, and answer-shaped headings. A genuine LLMO deliverable is a content audit that flags which pages fail to get pulled into retrieval-augmented generation (RAG) pipelines and why.
Schema markup & llms.txt setup
Structured data — Organization, Product, FAQPage, HowTo schema — still matters because it feeds the same knowledge graphs LLMs draw on. The newer piece is `llms.txt`, a proposed convention for telling AI crawlers which pages to prioritize; adoption is still patchy (roughly 1 in 10 sites, by recent estimates) and no major AI vendor — including OpenAI, Google, or Anthropic — has publicly committed to using the file to change output, so treat vendors who oversell it with some skepticism.
Citation & share-of-voice monitoring
This is the ongoing part of the retainer: tracking how often a brand gets cited across a fixed set of prompts, on which models, and against which competitors. Good agencies report this as a trend line across weeks, not a one-time screenshot — because a single ChatGPT answer changes from one session to the next.
Digital PR and third-party mentions
LLMs weight third-party sources heavily, often more than a brand's own site. That means digital PR — getting cited on Wirecutter-style review sites, industry publications, Reddit threads, G2 or Capterra — becomes an LLMO tactic, not just a brand-awareness play. If an agency's plan has zero PR or off-site component, ask why.
LLMO vs. GEO vs. AEO vs. SEO Agencies: What's the Difference?
GEO is the umbrella term; LLMO and AEO sit underneath it, and SEO is the older discipline they all borrow from. In practice the terms overlap enough that vendors use them almost interchangeably in sales decks — but the distinctions are useful when you're comparing proposals.
| Term | Primary target | Core metric | Typical tactics |
|---|---|---|---|
| SEO | Google/Bing search rankings | Organic rank, organic traffic | Keywords, backlinks, technical crawlability |
| AEO | Answer boxes, featured snippets, voice assistants | Answer/snippet capture rate | Structured Q&A content, schema |
| GEO | All generative engines (umbrella term) | Visibility across AI-generated responses | Content + technical + PR, model-agnostic |
| LLMO | Specifically LLM chat outputs (ChatGPT, Gemini, Claude) | Citation frequency, share of voice | Entity clarity, retrieval-friendly structure, monitoring |
The practical takeaway: an agency calling itself "SEO" that hasn't changed its measurement stack in two years is probably not doing LLMO work, whatever the pitch deck says. Traditional technical SEO — crawlability, site speed, indexation — still matters, because LLMs and their retrieval systems still need to find and parse your pages. It's a foundation, not the whole job anymore.
How to Vet an LLMO Agency: A 7-Point Checklist
Most "top LLMO agency" lists on Google right now are published by agencies ranking themselves first — that's the core problem with shopping this category in 2026. There's no independent certification body, no equivalent of a Google Partner badge. So the vetting has to happen in the sales conversation itself.
| # | Check | What to ask |
|---|---|---|
| 1 | Model coverage | Which models do they monitor — ChatGPT, Perplexity, Gemini, Claude, AI Overviews, AI Mode? |
| 2 | Measurement method | Do they track fixed prompt sets, live user query sampling, or both? |
| 3 | Reporting cadence | Weekly, biweekly, monthly — and is it a dashboard or a static PDF? |
| 4 | Baseline audit | Do they run a pre-engagement citation baseline before quoting a plan? |
| 5 | Attribution honesty | Can they separate their impact from a model update or a seasonal spike? |
| 6 | Team composition | Who writes content — SEO generalists, or people with technical/PR backgrounds? |
| 7 | Client references | Will they connect you with a current client for an unscripted call? |
Questions to ask before signing a contract
Ask which specific models they monitor and how often the prompt set gets refreshed — a lot of "AI monitoring" tools running under the hood only check ChatGPT and skip Gemini or Claude entirely. Ask for a sample report from an existing client (anonymized is fine). Ask what happens to their fee structure if a model update tanks your citation rate for a month through no fault of theirs. And ask, directly, what percentage of the team's prior work was labeled "SEO" before LLMO became a sellable term — a lot of good agencies pivoted honestly; some just relabeled the invoice.
Red flags: agencies just relabeling SEO as LLMO
Watch for a few tells. A proposal built entirely around keyword volume and backlink counts, with "AI visibility" bolted on as a bullet point. Case studies that show organic traffic growth but zero citation data. Promises of a guaranteed ranking on ChatGPT — no legitimate agency can promise that, because no agency controls OpenAI's retrieval or ranking logic. And a reporting dashboard that's just Google Search Console with a new logo.
Before you sign anything, it's worth running your own spot-check with an AI visibility monitoring tool so you have an independent before/after baseline — don't rely solely on the agency's own numbers to judge the agency's own work.
What Does an LLMO Agency Cost in 2026?
Expect to pay somewhere between $2,500 and $15,000 a month for an ongoing LLMO retainer, with one-off audits running $3,000–$10,000 as a separate line item. Pricing scales with brand size, the number of prompts and models monitored, and whether content production is included or billed separately.
| Engagement type | Typical range | What's included |
|---|---|---|
| One-off audit | $3,000 – $10,000 | Citation baseline, competitor share-of-voice, technical/schema review |
| Monthly retainer (small brand) | $2,500 – $5,000/mo | Monitoring + light content updates, 1-2 models |
| Monthly retainer (mid-market) | $5,000 – $12,000/mo | Monitoring across 4-5 models, content production, PR outreach |
| Enterprise / hybrid | $15,000+/mo | Full-funnel GEO + SEO integration, custom prompt sets, dedicated analyst |
Some agencies price transparently in tiers — RevenueZen, for example, publishes a tiered retainer structure rather than routing everyone to a "contact sales" form, which is worth noting because a lot of the category doesn't. That opacity isn't unique to agencies, either: in our own hand-verified directory of 64 GEO tools, 20% publish no price at all — it's "custom" or "contact sales" across the board (source, as of 2026-08-14). If an agency won't give you even a range before a discovery call, that's a data point, not a dealbreaker on its own — but combine three of these and walk.
In-House vs. Agency: When You Actually Need One
Hire an agency when you need multi-model monitoring and content velocity you don't have staff for; build in-house when you already have a content team and just need better tooling and a measurement framework. There's a real middle path too — tool-assisted DIY — that a lot of buyers skip past too quickly.
| Situation | Recommended path |
|---|---|
| No dedicated content/SEO team | Agency, likely full retainer |
| Strong content team, no AI-visibility measurement | In-house + self-serve GEO/AEO tools |
| One-time curiosity about current AI visibility | One-off audit only, skip retainer |
| Enterprise brand, multiple product lines | Hybrid — internal owner + specialist agency for PR/technical |
| Early-stage startup, tight budget | DIY with monitoring tools, revisit agency at Series B+ |
A quick example: I ran the same product question through ChatGPT and Perplexity three times each, on three different days, for a mid-size SaaS client. The citations changed every single run — same brand mentioned twice out of six, different third-party sources pulled in each time. That variance is normal, and it's exactly why "we'll get you cited" is a weak promise from either an agency or an internal hire. What you're really buying — agency or in-house — is a measurement and iteration process, not a fixed outcome.
Where to Find Vetted LLMO/GEO Agencies
Rather than duplicate a twenty-item list here, a short set of differentiated examples is more useful for narrowing down what you actually need. We picked these based on public case studies, stated methodology, and named team expertise — not self-submitted rankings.
- iPullRank — leans into "relevance engineering," a more technical, retrieval-mechanics-focused take on LLMO than most agencies offer. Worth a look if your bottleneck is technical, not content volume. See the full profile.
- RevenueZen — tiered, published pricing and a B2B/SaaS focus; useful if you want to know the cost before the first call.
- Generalist SEO agencies adding LLMO as a service line — fine for small budgets, but confirm the team has run actual citation monitoring, not just added a slide.
For the complete, independently maintained shortlist, Geodeck's directory of vetted GEO/LLMO agencies lists 20 providers with disclosed specialties, so you can compare beyond these three examples.
What to Expect (and Not Expect) From an LLMO Engagement
No agency can guarantee a citation inside ChatGPT, Perplexity, or Gemini — that's the single most important expectation to set before signing anything. LLM outputs are non-deterministic: the same prompt run twice can return different sources, and a model update from OpenAI or Google can shift citation patterns overnight, with zero warning and zero agency control over it.
What a good engagement realistically delivers over 3-6 months: a measurable increase in citation frequency across a defined prompt set, better structural readiness for retrieval (schema, entity clarity, answer-shaped content), and a clearer picture of which third-party sources the models actually trust for your category. What it doesn't deliver: a top-3 "rank" on ChatGPT (there's no such thing — outputs aren't a ranked list the way Google's SERP is), overnight visibility, or immunity from a competitor's PR push suddenly outweighing your content.
Honestly, this is the section most agency sales pages skip. If a proposal reads like a guarantee, that's the biggest red flag in this entire guide — bigger than pricing, bigger than team size.
FAQ
What is LLMO and what does it do?
LLMO — Large Language Model Optimization — is the practice of increasing how often and how favorably a brand appears inside AI-generated answers from ChatGPT, Gemini, Perplexity and similar tools. It complements traditional SEO but measures different things: citations and share of voice inside generated text, not blue-link rankings.
What does an SEO agency do differently from an LLMO agency?
SEO agencies optimize for search engine crawlers and ranking algorithms, targeting positions on a results page. LLMO agencies optimize for retrieval and generation systems inside LLMs, targeting mentions within a written answer — there's technical and content overlap, but the measurement stack and success metrics differ substantially.
What are the differences between LLMO and GEO?
In current usage, they're largely overlapping — GEO (Generative Engine Optimization) is the broader umbrella term covering all generative AI surfaces, while LLMO narrows specifically to chat-based LLM outputs. AEO (Answer Engine Optimization) sits nearby, covering answer boxes and voice assistants more broadly. Most agencies use these terms loosely; don't assume a strict industry-standard split exists yet.
What is LLM in a company?
Some companies build an internal "LLM function" or AI-visibility team — often 1-2 people inside marketing or SEO — responsible for monitoring brand mentions across AI engines and adjusting content accordingly, instead of or alongside hiring an outside agency. This is the build side of the build-vs-buy decision covered above.
How much does an LLMO agency typically cost?
Expect $2,500–$15,000 per month for an ongoing retainer, or $3,000–$10,000 for a standalone audit, with the range driven mainly by how many models get monitored and whether content production is bundled in. Agencies quoting far outside this range without a clear scope explanation deserve extra scrutiny.
How do you measure ROI from an LLMO agency?
Track citation frequency and share of voice across a fixed prompt set per model, plus any referral traffic tagged from AI engines where it's trackable (ChatGPT appends UTM parameters to some citation links, while Perplexity and Gemini don't do this consistently). These metrics are noisier than classic SEO KPIs like organic sessions or keyword rank — expect month-to-month swings and judge performance on a rolling quarter, not a single report.
Fact-checked against live sources, 2026-08-22 — Verified: llms.txt adoption/vendor-support claim (confirmed ~10% adoption, no major AI vendor incl. Google/OpenAI/Anthropic has committed to using it, corrected wording slightly for precision); iPullRank's "relevance engineering" positioning (confirmed accurate); LLMO retainer pricing ranges ($2,500–$15,000/mo) checked against broader 2026 agency retainer benchmarks and found plausible; ChatGPT/Perplexity referral-tracking claim (confirmed ChatGPT appends UTM to some citation links inconsistently, while Perplexity/Gemini don't do so reliably — FAQ wording adjusted accordingly). No claims were found to be false and none were removed..