AI SEO Services: What You Are Actually Buying in 2026

GEO, AEO, LLMO, and AI Search Optimization: What the Naming Tells You

SEO is the parent category. GEO (generative engine optimization) and AEO (answer engine optimization) sit inside it as the sub-discipline of appearing in generated answers. AEO leans toward winning a specific answer moment; GEO leans toward the brand authority that gets cited across a category. LLMO is a newer label for the same work aimed at large language models. You do not need all four terms, but you do need to know they are not competitors to SEO, which is the implication a proposal will let you draw because it makes the new line item feel premium.

Our pages on What is AEO and SEO vs GEO unpack the naming line by line.

Then there is "AI search optimization," the umbrella term for all of it, and the framing matters commercially. Google documents the topic in its own developer guidance, and that term's results page is held by Google, Salesforce, Semrush and a trade publication. This query's results page is held by agencies.

One technical distinction worth carrying into a call: AI Overviews and Google's AI Mode still draw on classic ranking fundamentals, so the site work you have already done feeds them. ChatGPT and Perplexity lean harder on retrieval and on what other sites say about you. A vendor treating every AI surface as one channel is describing work they have not done.

What Actually Moves AI Citations, and What Does Not

Ahrefs published the study in December 2025 across 75,000 brands, and it is the most uncomfortable dataset in this subject. YouTube mentions correlate with AI visibility at a Spearman coefficient of roughly 0.737, consistent across ChatGPT, Google AI Mode and AI Overviews. Branded web mentions sat between 0.66 and 0.71.

Now the bottom of the list. Backlinks: 0.218. Domain rating: 0.266. Branded search volume: 0.352. Links and domain rating, the two levers you have paid for the longest, are among the weakest correlates of being cited by an AI system. That is the strongest argument available against any agency whose AI SEO proposal is a classic SEO proposal with a new cover page.

What does move citations: fit with retrieval, chunk-level clarity so a passage can be lifted intact, structured data, consistent entity naming, and third-party corroboration from sources the model already trusts. What does not: keyword density, and publishing volume on its own.

Two more numbers set the honest frame. Pew Research tracked 68,879 real searches in July 2025 and found that when an AI Overview is present, users click a traditional result 8% of the time against 15% without one. Seer Interactive measured the same shift in November 2025: organic CTR on AI Overview queries fell 61%, from 1.76% to 0.61%, and paid CTR fell 68%. Seer found the flip side too, which is why citation work is not vanity: brands cited in AI Overviews earn 35% more organic clicks and 91% more paid clicks than brands that are not.

Then the denominator nobody puts in the pitch. Conductor's 2026 benchmark report, covering more than 13,000 domains, puts AI referral traffic at 1.08% of all website traffic, growing about 1% month over month, with ChatGPT accounting for 87.4% of it. BrightEdge reported in February 2026 that AI Overviews trigger on about 48% of tracked queries, up from around 30% a year earlier. The surface is everywhere. The referral traffic is not. If you have not measured your starting point, our walkthrough of an AI visibility audit shows what to capture before you buy.

Positions 3 and 10 on this query are Reddit threads, and the second is worth reading before any sales call. It credits the agency that focuses on GEO and AI visibility "rather than just rebranding traditional SEO as 'AI SEO'", then hands you the buyer's test in one line: ask the vendor to explain the difference between optimizing for a crawler and optimizing for an LLM inference pass. "Vague answer there is a red flag."

The Deliverable List, by Category

This is the section to copy into your notes and hold a vendor to.

Two lines in that table carry more weight than the rest.

The first is mentions versus citations, reported separately. A brand can be named in an answer without being the source the model cites, and those two numbers move independently. Ask for both, with the share of runs for each and the source type behind every citation. A single blended visibility score cannot tell you whether you are being recommended or merely name-dropped.

The second is the prompt list itself. Ten prompts sampled weekly is a different product from two hundred sampled daily, and the proposal rarely says which one you are buying.

One question is worth answering before you buy anything, and it comes from an agency page at position 6: do you want citations and traffic, or recommendations and conversions? A citation program aims at being the source. A recommendation program aims at being in the shortlist when a buyer asks an assistant what to purchase. A retainer spent on the wrong one looks like it is working for two quarters.

The final line item is ownership. Every page on this query shows a dashboard as the agency's artefact. Ask instead what you will be able to see, export and keep at the end of the engagement, and who holds the account the data lives in.

Where AI SEO Pricing Sits, and Why

SE Ranking surveyed 260 agencies in 2025: 61% were considering adding AI Overview optimization, 43% planned to fold it into existing offerings and 18% planned to sell it standalone. The average set or planned monthly fee for an AIO-only service came out at about $937. Against that, 64% of agencies still price retainers under $1,000 a month.

GoodFirms' 2026 pricing survey adds the driver. Among the 54.3% of agencies that raised prices in 2025 and 2026, 37% cited added GEO and AEO services as the primary reason, often charged separately at $900 or more per month. 52.8% introduced AI search optimization as a formal service this year. And 60.6% named measuring AI-services ROI as their single biggest AI-related challenge.

Read that last number twice. The party selling you measurement says measurement is the hard part.

Project work has its own range. Frase's 2026 guidance puts one-time GEO audits at $1,500 to $5,000, with GEO added to an existing SEO retainer lifting the recurring fee by 20% to 30%. Digital Applied's 2026 analysis puts the median monthly SEO retainer at $3,500, with 73% of agencies now including AI-assisted deliverables in standard packages.

For ongoing programs, the published sources disagree by roughly a factor of 33. WebFX's May 2026 analysis and Digital Elevator's breakdown put AI search optimization retainers between $1,500 and $50,000+ per month, and the tightest credible figure for a mid-market program is $2,000 to $10,000 a month. When the public range spans a factor of 33, the number is not a price. It is a negotiation.

Classic SEO run with AI tooling is priced near classic SEO because it is the same labour with cheaper tools. The tool changed the agency's cost base, not your deliverable. Visibility work carries a premium for three reasons: there is no historic anchor for it, comparatively few people have genuinely done it, and the buyer cannot yet tell competent work from confident work. If the seller cannot measure the outcome either, you are paying for a category still being defined.

One sibling page runs the same exercise in a different channel, and the fee mechanics read almost identically. If you buy paid media too, PPC management services is where the percentage-of-spend version of this argument lives.

The Tool Seat Hidden Inside the Retainer

This is the line item almost nobody puts in writing, and it is the easiest money on your invoice to reclaim. Visibility monitoring is a product category with published prices:

Now put that next to Digital Applied's figure for agency tooling spend: an average of $150 per client account per month. A reasonable number, and not the problem. The problem is what happens to it when it disappears into a retainer, with the account held in the agency's name and the prompt history leaving with them.

So ask one question on the next call: which tools in this proposal are billed to me, and can I hold those seats in my own name? An agency doing real work will say yes and adjust the fee. An agency whose margin depends on the seat will explain why the bundle is more efficient. That explanation is the answer.

Monitoring is the part of AI SEO that has already commoditized. You are buying an outcome, and the outcome does not require you to rent a dashboard. Our LLM visibility tools roundup covers the platforms above, and the best AI SEO tools pillar covers the wider stack.

What Your Team Can Run In-House This Quarter

Here is the honest split, in the order I would hand it to a two-person marketing team.

Tracking and monitoring. A tooling problem, not a talent problem. Prompt sampling, mention share and citation share are available at three-figure monthly prices, and the data belongs in your account either way.

Prompt and query sampling. Start with a spreadsheet if you must. Twenty prompts that matter to your buyers, on a fixed cadence, logged with dates. When a vendor later claims your visibility improved, you will have your own numbers to check it against.

Structured data and entity consistency. About a quarter of focused work. Schema on the pages that should answer questions, one consistent description of what the company does, and the same naming everywhere it appears. It is not glamorous, and it is the layer retrieval reads.

Original data and third-party corroboration. This is the part that does not fit in-house at small team sizes. Recall the Ahrefs spread: YouTube mentions at 0.737 and branded web mentions between 0.66 and 0.71, against backlinks at 0.218. The strongest levers available to a small team are content production and the earned mentions that follow, which is a capacity question. Somebody has to make the thing and publish it consistently enough that others reference it.

Two capabilities cover the in-house half concretely. An AI visibility tracker handles the monitoring line, and keyword research connects research to the brief so content work starts from real queries rather than guesses. Some vendors now wrap that same loop into a product they call an AI SEO agent, which is a tool decision rather than a services decision.

The uncomfortable middle is where money leaks. A $3,000 retainer that is 60% monitoring and 40% strategy is mostly a subscription you could hold yourself.

How to Audit an AI SEO Pitch in Ten Minutes

Five questions. The answers tell you whether there is a practice behind the proposal or only a vocabulary.

One. Which AI crawlers hit my site in the last 90 days, and what were the numbers? Listen for named user agents, request counts and dates drawn from log files. If they have not had log access, ask what they would need in order to answer. A vendor who cannot describe your crawler traffic cannot be doing the technical leg of this work.

Two. Which prompts do you sample for my category, how many runs per prompt, and how often? Ask for the list, not a description of the list. Cadence and run count are the product, and it is the fastest way to tell real monitoring from a screenshot of a trial account.

Three. What did you change on the last site like mine, and when did it ship? A named change with a date beats a case study with a percentage. Then push once and ask them to explain the difference between optimizing for a crawler and optimizing for an LLM inference pass.

Four. How will you report mentions and citations separately, and in whose account will that data live? The first half sets the reporting standard. The second settles the tool seat and the exit terms while you are still in the room.

Five. What would make you tell me this engagement is not working? A team with a real measurement practice has a threshold and a review date. A team without one answers with a feeling. This question most often ends the conversation honestly.

If three of those five answers come back soft, you have your verdict, and you did not need a reference call to reach it.