# LLM SEO Agency: Which Layer Are You Paying For? > An LLM SEO agency works across three layers. Only one is fully in its control, and it is the smallest. Here is how to scope and price the other two. Canonical URL: https://cite.solutions/blog/llm-seo-agency-which-layer Source: Cite Solutions (cite.solutions) Published: 2026-09-18 --- [Strategy](/category/strategy)12 min read # LLM SEO Agency: Which Layer Are You Paying For? [Subia PeerzadaFounder, Cite Solutions · September 18, 2026](https://www.linkedin.com/in/subia-peerzada-75025764/) Key takeaways ## three layers, three different purchases Two proposals at the same price can buy completely different work. The split that separates them never appears on either one. 1. 01Earned media holds 84% of AI citations across 25M+ links, so the layer an agency fully controls is roughly one sixth of the pool. 2. 02Placement work has published evidence behind it: 87 stories distributed through earned channels produced a 239% median citation lift. 3. 03In our 90,132-answer corpus the category leader never changed at all in 4 of 10 categories, so some positions are not for sale this quarter at any price. Two proposals landed on the same founder's desk in August. Both said LLM SEO. Both quoted $6,000 a month. Both listed content optimization, schema, citation tracking and reporting. One of them was a content retainer. The other was a PR retainer with a dashboard attached. Neither said so. The founder asked us which one to take. The honest answer was that the question had no answer yet, because nothing in either document said which layer of the problem the money was buying. That split is what this post is about. An LLM SEO agency works across three layers, it controls exactly one of them, and the one it controls is the smallest. ## What does an LLM SEO agency do? An LLM SEO agency gets your brand named and cited inside answers from ChatGPT, Gemini, Perplexity, Claude and AI Overviews. The work splits three ways: rebuilding your own pages so models can extract them, earning mentions on the third-party pages models already trust, and measuring which prompts return you. Only the first layer sits entirely inside the agency's control. Scope map · what a retainer can reach The layer an agency fully controls is the smallest one Every LLM SEO deliverable sits in one of three layers. Price each layer separately and the proposals stop looking alike. Layer 1Your own pagesFull control \~16% of the citation pool · moves in 2 to 6 weeks Answer blocks, schema, crawlability, entity consistency, internal links. Muck Rack, 25M+ links: earned media holds 84% of AI citations, leaving owned pages the rest. Layer 2Pages you do not ownInfluence only \~84% of the citation pool · moves in One to two quarters Review sites, directories, community threads, journalist coverage, partner pages. Stacker and Scrunch, 87 stories: earned distribution produced a 239% median citation lift. Layer 3What the model does with bothNo control Decides every answer · moves in Not schedulable Source selection, ranking inside the answer, recommendation, refresh cadence. CITE Index, 90,132 answers: the category leader flipped on 18.7% of day pairs and never changed in 4 of 10 categories. Layer 3 is drawn full width because it governs the whole answer rather than a share of it. Shares are citation shares, not effort shares. Everything that goes wrong in these engagements traces back to a buyer paying for one layer and expecting the results of another. > You are not buying AI visibility. You are buying work on one of three layers, and they have different prices, different lead times and different ceilings. ## The three layers, and who actually controls each one The vocabulary is a mess on purpose. LLM SEO, GEO, AEO and AI visibility all describe the same job, and every vendor picks the acronym that flatters its origin story. Our [breakdown of what LLM SEO actually is](/blog/llm-seo-what-it-is-and-how-to-do-it) covers the terminology. The layers are the part that survives whichever word wins. **Layer 1 is your own site.** Answer blocks, schema, crawlability, entity consistency, internal linking. An agency can change all of it, ship it in weeks, and show you the diff. This is the layer every proposal describes in the most detail, because it is the only one that behaves like a normal content engagement. **Layer 2 is everything you do not own.** Review platforms, directories, community threads, journalist coverage, partner pages, comparison sites. An agency can pitch, place and correct here. It cannot publish at will, and it cannot promise a date. **Layer 3 is the model.** Which sources it selects, how it ranks them inside the answer, which brand it recommends, when it refreshes. Nobody sells this layer, and a few agencies quietly price as though they do. **What a retainer page usually lists:** * •Full-funnel LLM SEO strategy * •Content optimized for AI extraction * •Schema and entity work * •Multi-engine citation tracking * •Off-page authority building **What each of those lines actually touches:** * •Strategy: all three layers, as a document * •Content and schema: layer 1 only * •Citation tracking: layer 3, observed, never changed * •Off-page authority: layer 2, on someone else's schedule * •The recommendation itself: layer 3, not for sale Read the two lists against each other and the pricing question changes. You are no longer asking whether $6,000 is a fair price for LLM SEO. You are asking how those dollars split across three jobs with different economics. ## 5 reasons the retainer underdelivers on the layer you care about These are structural. They apply to a good agency and a bad one identically, which is why they are worth understanding before you evaluate any particular firm. ### Reason #1: Most of your citation pool sits on pages the agency cannot edit Muck Rack's May 2026 Generative Pulse analyzed [more than 25 million links cited by ChatGPT, Claude and Gemini](https://www.globenewswire.com/news-release/2026/05/07/3290268/0/en/Generative-Pulse-Earned-Media-Consistently-Drives-AI-Citations-Holding-at-84.html) across 17 industries. Earned media drove 84% of citations, a figure that has held inside a 7-point band across three editions since July 2025. Our own corpus says the same thing from a different angle. The CITE Index ran 500 buyer prompts nightly through ChatGPT, Gemini and Google AI Mode for 63 days and collected 90,132 answers. Four of the twelve most-cited domains were brand-owned. The other eight were places a brand has to earn its way into. So the layer an agency can rewrite on Tuesday afternoon accounts for roughly one sixth of the sources models reach for. ### Reason #2: The fully controllable layer is also the fastest to exhaust Layer 1 work has a floor and a ceiling, and the ceiling arrives early. There are only so many revenue pages, and each one only needs its answer block, its schema, its entity cleanup and its internal links once. A competent team clears the queue for a mid-size B2B site in one quarter. After that the retainer is either maintaining a finished job or has quietly moved to layer 2 without repricing. This is the single most common shape of a stalled engagement. Month one through three look productive because layer 1 is visibly broken. Month four onward feels slow because the remaining work moved to a layer with a different clock. > Layer 1 is a project wearing a retainer's clothes. Layer 2 is the retainer. ### Reason #3: Placement work is real, and its lead time is not monthly The evidence that layer 2 moves is now published rather than anecdotal. In March 2026 Stacker, working with Scrunch, ran [87 stories across 30 clients and queried more than 2,600 prompts across 8 AI platforms](https://www.globenewswire.com/news-release/2026/03/16/3256365/0/en/New-Stacker-Research-Earned-Media-Distribution-Triples-AI-Search-Visibility-Delivers-239-Median-Lift-in-Brand-Citations.html). Earned distribution produced a 239% median lift in brand citations and nearly tripled how consistently brands surfaced across platforms. Otterly's controlled experiment pointed the same way from the opposite end. A seven-page site with no schema and no domain authority reached top-3 visibility in ChatGPT inside 14 days on the strength of [sixteen off-domain placements alone](/blog/off-page-citation-placement-zero-domain-authority). Both results are encouraging and neither is schedulable. Pitches get declined, editors sit on drafts, directories take weeks to refresh, and a community thread cannot be commissioned. A monthly invoice sits badly against that rhythm, and the mismatch is what produces the quarter-three conversation about whether anything is happening. ### Reason #4: The position you are buying may not be available in your category This is the finding that changed how we scope our own engagements, and it does not appear anywhere in the agency literature. Across 90,132 answers, the average category leader appeared in 78.2% of its category's answers. The leader flipped on only 18.7% of day pairs, and in 4 of 10 categories it never changed at all across 63 consecutive days. The full figures sit on our [AI search statistics page](/ai-search-statistics) and the complete corpus is in the [final report](/state-of-ai-india/final-report). A category with an entrenched leader is not a category where a 90-day retainer buys the top recommendation. It is a category where the realistic goal is entering the consideration set, and the honest pitch says so before the contract rather than in the QBR. > Some positions are not for sale this quarter at any budget. An agency that has read its own data will tell you which ones. ### Reason #5: The measurement that proves any of it costs more than the panel they quoted Otterly's September 2026 stability study covered [252,407 AI search answers across seven engines](https://otterly.ai/blog/ai-search-visibility-stability/) and 520 prompts. At 10 tracked prompts, 90% of brand coverage figures fell inside a band 32 points wide. At 50 prompts the band narrows to 13 points. The same study found Perplexity reused about 75% of its sources day to day while ChatGPT reused about 26%. One weekly cadence reports a durable position on one engine and close to a coin flip on the other. A twelve-prompt panel checked weekly cannot separate layer 1 work from layer 2 work from resampling. Whatever the agency did, the report will not be able to say which layer did it. We costed the tradeoff in [how many prompts are enough](/blog/prompt-tracking-how-many-prompts), and the answer is uncomfortable for anyone quoting a small panel. ### Not sure which layer your program is stuck on? An AI visibility audit reads retrieval on your revenue pages, maps which domains your category's citations actually come from, and returns the split between work you can do and work you have to earn. [Book an AI Visibility Audit](/contact) ## What an LLM SEO agency can genuinely move None of the above is an argument against hiring one. It is an argument for buying by layer. Here is the honest version of each, with what it costs you in time rather than dollars. Scope by layer What each layer buys, and how you check it __What each layer buys, and how you check it__ | Layer | What the work is | Agency control | Realistic window | How you verify it | | ---------------------------- | ---------------------------------------------------------------------------------------------- | ----------------------------------------- | ------------------------- | ----------------------------------------------------------------- | | 1\. Your own pages | Answer blocks, schema, crawlability, entity consistency, internal links | Full | 2 to 6 weeks per page set | Inspect the pages and the bot logs. The diff is the deliverable. | | 2\. Pages you do not own | Review sites, directories, community threads, editorial coverage, partner pages | Influence only | One to two quarters | A list of named domains with dates, not a count of placements. | | 3\. Model behavior | Source selection, position in the answer, recommendation, refresh | None | Not schedulable | Nothing to verify. Any promise here is a forecast. | | Measurement across all three | Prompt panel, multi-engine runs, mentions and citations and recommendations counted separately | Full, and the cheapest thing to get right | Set up in week one | Panel size, runs per prompt, and a full-text export you can read. | The fourth row is the one buyers negotiate away first and regret last. Without it, layers 1 and 2 are indistinguishable in the reporting, which means you cannot tell which half of the retainer to cut. ## How to scope an LLM SEO agency by layer Five steps, in the order that saves the most money. ### Step 1: Split every proposal into the three layers before you compare prices Print the deliverables list and write 1, 2 or 3 beside each line. Anything you cannot assign goes in a fourth column called strategy, which is a document rather than a layer. Two proposals at identical prices will usually land very differently, and the split is the comparison. This one exercise resolved the founder's August decision in about twenty minutes. ### Step 2: Ask which layer each named person works on Agencies staff layer 1 with content and technical people and layer 2 with outreach and PR people. Those are different hires and most firms are genuinely strong at one of them. Ask who does the placement work, how many placements they landed last quarter, and on which domains. A firm that cannot name the domains is selling you layer 1 with layer 2 language. ### Step 3: Set the layer 2 target in named domains, not a percentage "Increase off-page authority" is not a target. "Get us listed and reviewed on these six domains, and into these three community threads, by the end of Q1" is one. Build the list from where your category's citations actually come from. In our corpus Reddit alone drew 14,698 citations and appeared in 13.6% of all answers, so for most consumer-adjacent categories it belongs on the list whether or not the agency enjoys working there. ### Step 4: Fix the measurement panel before any work starts Agree the prompt set, the engines, the runs per prompt and the reporting window in week one, and insist that mentions, citations and recommendations are counted separately. Then take the first reading before a single page changes. A baseline taken after the work has begun cannot attribute anything to the work. This is the cheapest clause in the contract and the one that makes every later argument resolvable. ### Step 5: Put the layer 3 limit in writing Ask the agency to state, in the SOW, what it is not promising: model version changes, competitor publishing, source pool rotation, and the recommendation itself. Good firms write this down without being asked, because it protects them too. A firm that refuses is one that intends to take credit for layer 3 movement when it goes their way, and will have no language for the month it does not. ## What each layer costs in 2026 Published ranges for the category cluster between roughly $3,500 and $12,000 a month for retainers, with enterprise engagements running higher. The number is not the useful part. The split is. The [2026 State of Generative Engine Optimization in B2B Marketing](https://www.prnewswire.com/news-releases/new-research-from-gnw-consulting-and-demand-metric-finds-geo-adoption-accelerating-across-b2b-marketing-302789540.html), a June 2026 study of 225 B2B marketing and revenue leaders by GNW Consulting and Demand Metric, found 88% of SEO agencies now claim to offer GEO services and 37% of those offerings are loosely defined. Roughly four in ten firms pitching you cannot specify what they deliver, and layer language is a fast way to find out which four. As a rough allocation on a healthy engagement: layer 1 dominates the first quarter and then should shrink, layer 2 grows and stays, and measurement is a fixed line that never goes away. If your invoice looks the same in month nine as it did in month two, the mix is probably wrong. For teams weighing this against hiring, our [in-house versus agency breakdown](/blog/geo-in-house-vs-agency) prices the same three layers with a salary instead of a retainer, and the deciding factor is usually who owns the measurement rather than who writes the content. If you would rather not staff any of it, [a managed GEO agency can run all three layers as one program](/geo-agency) with a single owner for the measurement loop. ## FAQ ### What is an LLM SEO agency? An LLM SEO agency is a firm you hire to get your brand cited and recommended inside AI answers from ChatGPT, Gemini, Perplexity, Claude and AI Overviews. The work covers your own pages, the third-party pages models already trust, and a measurement panel that shows which prompts return you. ### How much does an LLM SEO agency cost? Published retainers cluster between about $3,500 and $12,000 a month, with enterprise programs above that. The more useful question is how the fee splits across on-site work, off-domain placement and measurement, because two identical prices frequently buy very different mixes. ### Is LLM SEO the same as GEO or AEO? In practice, yes. LLM SEO, generative engine optimization, answer engine optimization and AI visibility describe the same job, and vendors pick whichever acronym suits their background. Compare what a firm delivers on each layer rather than which term it uses. ### Do I need an LLM SEO agency or can I do it in-house? In-house works when someone owns the weekly read across every engine your buyers use and the placement work has a home. Agencies win when you need movement this quarter or know the work will slip under pipeline pressure. Our [in-house versus agency guide](/blog/geo-in-house-vs-agency) prices both paths. ### How long does it take an LLM SEO agency to get results? On-site changes can register within weeks. Off-domain placement runs on a one to two quarter cycle because it depends on other people's publishing schedules. Any promise faster than that on the placement layer is a forecast rather than a commitment, and [the reporting usually cannot prove it either way](/blog/do-ai-search-engine-optimization-services-work). ## The part worth acting on The founder took the second proposal, the PR retainer with a dashboard, and cut its layer 1 scope in half because that work was nearly finished internally. Same vendor, same price, different contract, and the argument about results in month four never happened. Before your next call, do three things. Assign every line on the proposal to a layer. Ask which named person works on layer 2 and which domains they landed last quarter. Then agree the measurement panel before anyone touches a page. If a firm cannot tell you which layer a deliverable belongs to, that is the answer. The layers are not a framework we invented to sound rigorous. They are where the control actually sits, and a vendor who has done this work knows exactly where their own ends. ### Get the layer split for your category before you sign We read which domains your category's AI citations come from, audit retrieval on your revenue pages, and hand back the honest split between the work you can do yourself and the work you have to earn. [Book a Discovery Call](/contact) Tags [GEO](/tag/geo)[AEO](/tag/aeo)[AI visibility](/tag/ai-visibility)[AI citations](/tag/ai-citations)[ai search optimization](/tag/ai-search-optimization)[b2b ai visibility](/tag/b2b-ai-visibility)[geo strategy](/tag/geo-strategy)[earned media](/tag/earned-media) ## Continue the brief [01StrategyDo AI Search Engine Optimization Services Work?AI search engine optimization services can work. Most reported wins are sampling noise. Here is the buyer test that tells the two apart before you sign.Sep 12, 2026Read→](/blog/do-ai-search-engine-optimization-services-work)[02StrategyWhat Is a GEO Agency? A 2026 Buyer's GuideA GEO agency gets your brand cited by ChatGPT, Perplexity, and AI Overviews. Here is what one delivers, what it costs, and how to choose.Jun 27, 2026Read→](/blog/what-is-a-geo-agency)[03StrategyWhat Does an AEO Consultant Actually Do?An AEO consultant can find your AI citation gap in weeks. The hours math says a solo retainer cannot also run the measurement that proves the work.Sep 13, 2026Read→](/blog/aeo-consultant-what-they-actually-do) [FrameworkLearn the CITE framework behind our GEO and AEO workSee how Comprehend, Influence, Track, and Evolve turn AI visibility into an operating system.](/framework)[ServicesExplore our managed GEO services and AEO execution modelAudit, prompt discovery, content execution, and ongoing monitoring tied to AI search outcomes.](/services)[AuditStart with an AI visibility audit before executionUnderstand prompt coverage, recommendation gaps, source mix, and where competitors are winning.](/ai-visibility-audit) On this page On this page ## Work with us on this [GEO AgencyManaged generative engine optimization for B2B brands.Explore→](/geo-agency)[AEO ServicesAnswer engine optimization: be the answer AI quotes.Explore→](/aeo-services)[LLM SEOGet cited by ChatGPT, Gemini, Claude, and Perplexity.Explore→](/llm-seo) ## Ready to become the answer AI gives? Book a 30-minute discovery call. We'll show you what AI says about your brand today. No pitch. Just data. [Book a Discovery Call](/contact)