How to Choose an AI SEO Agency (Without the Hype) | Case Study

The Business Problem

Traditional SEO had one property that made hiring easier: results were publicly checkable. You could look up any agency’s claimed rankings yourself. AI-generated answers don’t work that way. ChatGPT, Perplexity, and Google’s AI Overviews assemble a response per query, per user, per session, so there’s no single “position” to verify the way there was with a keyword rank.

That changes what a smart buyer has to evaluate. You can’t wait for a scoreboard to prove an agency right or wrong the way you once could with rankings. You have to judge the process before you see the outcome, which means the vetting conversation itself carries more weight than it used to, and a confident-sounding pitch is a weaker signal than it was five years ago.

A quick way to see the difference. Imagine two agencies pitch the same B2B software company. Agency A’s proposal says it will “boost AI visibility” and shows three client logos. Agency B’s proposal names the four platforms it tracks (ChatGPT, Perplexity, Google AI Overviews, Gemini), explains that it rebuilds a client’s top pages around self-contained answer blocks rather than long narrative prose, and offers to walk through one anonymized client’s actual before-and-after citation data on a call. Neither proposal can be independently verified the way a page-one Google ranking could be, but one of them gives you something concrete to test and follow up on, and one doesn’t. That gap, concrete and checkable versus vague and unfalsifiable, is the entire evaluation problem in miniature.

What an AI SEO Agency Actually Does

An AI SEO agency optimizes a brand to be cited or recommended inside AI-generated answers, not just to rank in traditional search results, which means the actual deliverables shift toward entity authority, structured and extractable content, and citation tracking across AI platforms, on top of (not instead of) the technical and content fundamentals traditional SEO already covers.

In practice this usually includes:

• Entity and authority building: making sure the brand is clearly and consistently identified as a distinct, trustworthy entity across the web, not just optimized for a set of keywords
• Content structured for extraction: self-contained answers, clear headers, and formatting that an AI system can lift cleanly, rather than long-form prose written primarily to keep a human reader scrolling
• Structured data and technical implementation: schema and site architecture that make content machine-readable
• Citation and visibility tracking: monitoring whether and how often the brand actually gets mentioned across ChatGPT, Perplexity, Google AI Overviews, and similar surfaces, not just tracking blue-link rank
• The traditional SEO fundamentals still underneath it all: crawlability, site speed, backlinks, and helpful content, since AI citation and Google ranking reinforce each other rather than replacing one another

One thing worth being direct about: AI citation doesn’t replace traditional rankings, and a brand that shows up consistently in both AI answers and organic results builds more buyer trust than one that only shows up in one place. An agency pitching AI SEO as a wholesale replacement for everything a business already built in search is oversimplifying the shift, not describing it accurately.

DIY vs In-House vs Agency

DIY works only if someone on the team already has real SEO depth and time to spare; an in-house hire makes sense once AI visibility work is a permanent, ongoing priority rather than a project; an agency makes sense when the business needs specialist expertise across multiple AI platforms faster than it could build that expertise internally.

Most businesses don’t pick one of these permanently. A common pattern is DIY or a single in-house generalist handling the fundamentals, with an agency brought in specifically for AI-platform depth once the fundamentals are solid and the gap becomes obvious in AI Overview and chat-search visibility.

If you’re an agency yourself, not an end business, this decision looks different. Rather than hiring an AI SEO agency as a client, the equivalent move is partnering with one as a white label provider, so your agency can offer AI SEO under your own brand without building the specialist team in-house. The evaluation criteria below still apply either way; only who signs the contract changes.

How to Evaluate a Provider

Since AI citation results aren’t independently checkable the way a keyword rank is, evaluating an AI SEO agency comes down to testing their process and specificity in the sales conversation itself, not asking for proof of past results the way you might with traditional SEO.

Questions to ask

• How do you measure share of voice inside AI responses, specifically, and which platforms do you actively track over time? A real answer names platforms (ChatGPT, Perplexity, Google AI Overviews, Gemini) and a specific tracking method, not a vague “we monitor AI visibility.”
• How do you build entity authority, and what does your approach to structured data actually look like on a real client site?
• How does your content team write for extraction, concretely, differently from how they’d write for a traditional ranking-focused brief?
• How do you connect AI visibility to business outcomes, not just citation counts? A citation that never drives a lead or a sale is a vanity metric.
• What does a month of work actually include at this price? If an agency can’t map the retainer to a defined scope, the vagueness is the real problem, not the number itself.
• Can you walk me through a real client’s AI-visibility trajectory, even anonymized? Not a screenshot, an actual explanation of what changed and why.

Red flags

• Answers that sound like a traditional SEO pitch with new vocabulary stapled on top, no named tools, no named platforms, no specific method
• Guarantees of AI citations or a specific ranking outcome. No one fully controls what an AI system chooses to cite; a guarantee here is a bigger warning sign than it would be in traditional SEO
• Pricing with no scope attached, or a scope that changes when you ask for specifics
• No mention of measuring actual business outcomes, only citation or mention counts
• A portfolio built entirely around ranked “best AI SEO agency” listicles rather than named, explainable client work. Those lists are common in this category and are frequently paid placements, not independent rankings

What It Typically Costs

AI SEO agency retainers generally run from about $2,000 to $25,000+ per month, well above the roughly $1,000 to $3,000 typical of a general traditional SEO retainer, with most legitimate mid-market engagements landing in the $5,000 to $15,000 range once AI-platform tracking, entity work, and extraction-focused content are genuinely part of the scope rather than just marketing language. (see sourcing note, brief section)

Pricing tends to break into three rough tiers:

A few other patterns worth knowing before budgeting:

• Setup or onboarding fees of roughly $2,000 to $10,000 are common for the initial audit, strategy, and technical implementation before the monthly retainer begins.
• Contract minimums of 6 to 12 months are standard, since AI SEO results typically take 3 to 6 months to start showing, and shorter engagements make it hard to judge whether the work is actually working.
• The scope matters more than the sticker price. Two quotes for what sounds like the same work can differ by a factor of five depending on how many AI platforms are actually tracked, how much content is produced, and how much of the work is genuinely AI-focused versus traditional SEO with new terminology.
• Compare cost per outcome, not just the monthly number. An agency charging more but delivering broader platform coverage and more content volume can be better value than a cheaper retainer covering a narrower scope. Ask what’s included at each price point before comparing two numbers side by side.

These figures reflect 2026 market data. This is a fast-moving category, so if you’re reading this well after publish, treat the ranges as a starting reference point and confirm current numbers directly with any agency you shortlist.

Where Konker Fits

Konker’s AI SEO Suite is built around the same evaluation logic this guide just walked through: agency-grade strategy and execution, without the overhead that pushes many agency retainers toward the higher end of the ranges above. Pricing runs across three tiers built to scale with a business’s actual stage (Growth, Scale, and a custom Enterprise tier reached through a discovery call, rather than a one-size-fits-all package), and every tier includes AI-platform visibility tracking and entity-focused content work as a core part of the scope, not an add-on bolted onto a traditional retainer.

If the evaluation criteria in this guide are the test, that’s intentionally the test Konker is built to pass: named platforms tracked, a defined monthly scope, and reporting tied to actual visibility outcomes rather than vague “AI optimization” language.

FAQ

How is an AI SEO agency different from a traditional SEO agency?

A traditional SEO agency focuses primarily on ranking in search engines like Google, through keyword optimization, backlinks, and content. An AI SEO agency does that plus works specifically to get a brand cited or recommended inside AI-generated answers from ChatGPT, Perplexity, and Google’s AI Overviews, which requires different deliverables: entity authority, structured extractable content, and citation tracking across those platforms.

How much does it cost to hire an AI SEO agency?

Retainers generally run $2,000 to $25,000+ per month depending on scope and business size, with most legitimate mid-market engagements between $5,000 and $15,000. Setup fees of $2,000 to $10,000 are common, and most agencies require a 6 to 12 month minimum commitment since results take several months to show.

Can I just do AI SEO myself instead of hiring an agency?

Yes, if someone on the team already has real SEO depth and time to spare. DIY tends to fall behind once AI-platform coverage needs to span multiple engines (ChatGPT, Perplexity, Google AI Overviews, Gemini) simultaneously, since tracking and optimizing for each takes specialist time most in-house generalists don’t have available.

How do I know if an agency’s “AI SEO” claims are real, not just rebranded traditional SEO?

Ask specific questions: which AI platforms they track, how they measure share of voice inside AI responses, and how their content process differs from a traditional ranking-focused brief. Vague answers, or answers that sound like a traditional SEO pitch with new vocabulary, are the clearest signal of a rebrand rather than a genuine methodology shift.

How long does it take to see results from AI SEO?

Most sources point to roughly 3 to 6 months before AI-visibility results start to show, which is part of why most agencies require a 6 to 12 month minimum contract rather than a short trial period.