AEO Agency vs AEO Platform: How to Choose

If your brand is being mentioned by AI assistants but your clicks are falling, you have two routes. Hire an AEO agency, or buy a platform and run it yourself. They cost very different amounts, they leave you in very different positions afterwards, and most articles on this subject only argue for one of them.

This is written for marketing leads at B2B SaaS companies deciding which route to take, not for anyone who has already decided.

At a Glance

An agency brings judgement and execution capacity, bills monthly, and takes the accumulated knowledge with it when the retainer ends.
A platform is far cheaper on licence but does nothing unless someone internally drives it. The real comparison is platform plus a person's time against an agency retainer.
Platform subscriptions in this category run roughly $29 to $385 a month. Agency retainers run roughly $3,000 to $15,000 a month. Once you add internal time to the platform route, the gap narrows considerably.
Run the diagnostic first. Branded impressions flat while clicks decline over three months is the signal that this is worth spending on at all.
Demand LLM citation exports, prompt sets and pipeline attribution from either route before signing. A vendor who can't produce them is selling ideas.
Technical schema fixes show signals in days. Citation share moves over four to eight weeks. Revenue attribution takes three to six months. Any promise faster than that is worth questioning.

First, check you have the problem

Before comparing routes, confirm the traffic is actually leaking. Three checks, all doable this week.

Search Console, three-month view. Compare branded impressions against branded clicks. If impressions hold steady while clicks decline, something is answering the question before the user reaches you.

GA4 and HubSpot. Look for direct traffic with no clear origin, or sessions starting on FAQ pages. Filter HubSpot leads by first-touch page to see whether entity-focused content or product pages are the entry point.

Prompt sampling. Ask ChatGPT, Gemini and Perplexity ten questions a buyer in your category would ask. Note whether you're cited, whether a competitor is, and save screenshots so you have a baseline to compare against later.

If those three come back clean, neither route is urgent and you can spend the budget elsewhere.

What an AEO agency actually does

Work splits into three phases, and a competent agency prices them separately so you can fund the next one only when the last one moved a number.

Service area	What you get	Time to signal
Technical and schema	Entity mapping, Organization and FAQ schema, llms.txt guidance, crawl testing	Days to two weeks for setup
Content and answer patterns	Answer-first templates, summaries, sourced facts, topic maps	Two to six weeks for maps, four to eight for citations
External citations and PR	Digital PR, review management, third-party mentions, quality links	Four to twelve weeks for placements
Measurement	Citation exports, share of model tracking, GA4 and CRM mapping, prompt logs	One to three weeks setup, then ongoing

The technical work is the fastest win, because structured data is a direct machine-readable signal. Start with Organization, Product, FAQ and HowTo schema, fix crawlability, check canonicals and llms.txt.

Content work means formatting for machines as well as readers: a one-sentence summary at the top, facts in bullets, a source link for every claim, and clusters around real buyer questions.

Off-site citations are the slowest and the hardest to do yourself. AI systems weight information that multiple independent sources agree on, and building that agreement is relationship work. This is where agencies are genuinely difficult to replace.

Agencies working in this space, with current Ahrefs figures for context on scale: Directive Consulting (DR 72, 34,608 monthly US visits), Single Grain (DR 79, 4,396), Animalz (DR 75, 3,465), iPullRank (DR 75, 2,419), Amsive (DR 74, 5,435), Terakeet (DR 72, 1,554), NoGood (DR 71, 8,786), Avenue Z (DR 67, 3,055), TripleDart (DR 65, 914). Verify current AEO service offerings directly, since positioning in this category changes quickly.

What an AEO platform actually does

A platform measures. You define a set of buyer questions, it runs them repeatedly against AI engines, and it reports where you appear, where competitors appear instead, and how that shifts over time. Some add crawler-level analytics showing which AI systems reach your site and what they take.

What it does not do is decide what to write, write it, or go and earn a mention on someone else's site. It tells you where you stand and leaves the work with you.

Entry pricing across the category:

Platform	Entry price	Notes
Otterly	$29/mo	15 prompts, cheapest credible option
Peec AI	$80/mo	50 prompts, strongest European coverage
Semrush AI Visibility Toolkit	$99/mo per domain	Add-on to an existing Semrush plan
Ahrefs Brand Radar	~$199/mo per engine	Requires an Ahrefs base plan
Scrunch AI	$250/mo	Adds crawler control
AthenaHQ	$295/mo	Credit-based, includes an action layer
Rankscale	$385/mo	Page-level recommendations included
Profound	By quote	Enterprise, deepest measurement

The comparison that actually matters

Set the two routes against each other over twelve months.

	Platform route	Agency route
Licence or fee	Roughly $1,200 to $4,600 a year	Roughly $36,000 to $180,000 a year
Fixed-scope option	n/a	$3,000 to $8,000 for an audit and roadmap
Pilot option	Free tiers and trials available	$5,000 to $12,000 over six to twelve weeks
Who does the work	You	Them
Internal time required	Meaningful. Realistically 0.3 to 0.5 of a person	Low. Review and approve
Where the knowledge ends up	Inside your team	With the agency
Execution capacity	None. It reports	Included. That's the product

The licence gap looks decisive until you price the internal time. Half a person on a loaded cost is comparable to a low-end retainer, which means the honest comparison isn't platform versus agency. It's a platform plus someone's time versus agency, and at that point the question stops being about money.

It becomes about two things: whether you want the capability to live inside your team afterwards, and whether you have the execution capacity to use what the platform tells you.

Better decisions start with better infrastructure.

Most mid-market teams pick a channel and hope. Strivelabs gives you the data to know, and the infrastructure to act on it.

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When an agency is the right call

Four situations, and they're common.

You have nobody to run it. A platform pointed at nobody produces dashboards. If there's no owner with time allocated, the cheaper route costs more, because you pay for a subscription and get no change.

The work is off-site. Digital PR, third-party mentions and review presence are the slowest and most valuable part of AEO, and they're relationship-driven. No platform does this. If your diagnostic shows competitors being cited because they're mentioned everywhere and you aren't, that's an agency problem.

You need it moving now. An agency arrives with a process. Building an internal one takes a quarter you may not have.

You want the technical work done properly once. Entity mapping and schema implementation is a project with a clear end. A fixed-scope audit at $3,000 to $8,000 that leaves you with a roadmap is often the most efficient money in this whole comparison, whichever route you take afterwards.

When a platform is the right call

Three situations.

You have an owner. Someone whose job includes this, with hours actually allocated. The platform route rewards ownership and punishes its absence more than any other software decision you'll make this year.

You want the knowledge to stay. Twelve months of agency retainer leaves you with results and no capability. Twelve months of running a platform leaves you with a team that understands how you appear in AI answers and why.

Your problem is on-site and continuous. Content structure, schema, monitoring and iteration are ongoing work that suits software. One-off projects suit agencies.

Evaluating an agency

One rule: demand LLM citation exports, specific prompt sets and pipeline attribution before you sign. A team that can't produce those is selling a concept.

Focus area	Request this	Passing	Warning sign
Evidence	Dated LLM citation exports	Several snapshots showing citation growth over time	Impression claims with no raw export
Technical	Proof of schema work and crawl simulations	Repo access or Search Console screenshots	Vague schema talk, no evidence of changes
Tracking	GA4 or HubSpot reports linking citations to pipeline	Real reports mapping AI traffic to closed deals	Conceptual tracking with no example
Compatibility	Prompt libraries and toolchain detail	Named tools, GA4 and Search Console integration	A black box that won't name its stack

Score each finalist out of five per category. A vendor at 16 out of 20 against one at 10 makes the decision straightforward, and the scoring forces you to ask for evidence rather than accept assurance.

Evaluating a platform

Five questions, and they map onto the same principle.

Which engines does it check, in your specific tier? How many samples does it run per prompt, given the same question returns different answers across runs? Can you define your own prompt set, or is it derived? Does citation data export to GA4 or your CRM? And what happens after the finding: does anything leave the tool, or is the follow-up entirely yours?

Proof to demand from either route

Put these in the RFP.

Raw LLM citation exports with dates, plus snapshots showing share-of-voice change over time
Attribution samples connecting AI referrals to GA4 or HubSpot conversions, with the matching logic explained
Placement tracking, not just prompt counts. Counting prompts is not measuring outcomes
A stated timeline: schema signals in days, citation share in four to eight weeks, revenue attribution in three to six months

Anyone promising revenue attribution inside a month is either measuring something else or guessing.

Where Strivelabs fits

Strivelabs sits on the platform side, and slightly differently from the trackers above. It monitors ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews with user-defined prompt sets and three samples per prompt, and it works standalone. It also connects to HubSpot, Google Ads, GA4, Search Console and LinkedIn Ads, so a citation finding can become a routed task with a named owner and enforced approval rather than a line on a dashboard.

Two honest limitations.

Three samples per prompt tells you whether you appear consistently, occasionally or not at all, which is enough to act on. It is lighter than dedicated trackers running higher sample counts, and it covers five engines rather than nine, so Copilot, AI Mode, Grok and DeepSeek aren't included. Teams needing statistically robust trend reporting will want a specialist alongside.

More importantly for this comparison: it supplies no execution capacity. It will tell you a page needs refreshing and route the task, but someone still writes it. If your gap is that nobody has time to do the work, an agency solves that and software does not. That's the honest reason to choose the other route.

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Frequently Asked Questions

What is an AEO agency?

A services firm that works on your content, schema and external citations so AI assistants name your brand when answering questions in your category. Typically split into technical work, content restructuring and digital PR.

How much does an AEO agency cost?

Indicatively, $3,000 to $8,000 for a fixed-scope audit, $5,000 to $12,000 for a pilot, and $3,000 to $15,000 monthly on retainer. Almost no agency publishes rates, so treat these as ranges to negotiate against.

Is a platform cheaper than an agency?

On licence, substantially. Roughly $1,200 to $4,600 a year against $36,000 to $180,000. Once you add the internal time needed to act on what a platform reports, the gap narrows to something closer to a low-end retainer.

Which should I choose?

Agency if you have no internal owner, or if your problem is off-site citations and PR. Platform if you have an owner and want the capability to stay in your team. Many teams do a fixed-scope agency audit first, then run a platform afterwards.

How does AEO differ from SEO?

SEO optimises for position in a list of links and measures clicks. AEO optimises for being named as the source inside a generated answer and measures citation share. The technical foundations overlap; the success metric does not.

How do agencies track brand citations in AI models?

Repeated prompt sampling across engines, exported as raw citation data with dates, then compared over time to show share-of-voice movement. Ask to see the exports rather than a summary of them.

How long until AEO work shows revenue?

Schema signals appear in days. Citation share typically moves over four to eight weeks. Revenue attribution takes three to six months, because it needs enough referral volume to be readable.

Can AEO results be tied to revenue in GA4?

Yes, with attribution mapping between AI referral traffic and CRM deals. Expect the first readable signal in three to six months, and ask any vendor to show you a worked example from another client before you rely on it.