How to vet a content agency for AI search: questions that expose repackaged SEO

Every enterprise B2B marketing leader has sat through pitch decks promising direct brand citations across Perplexity, ChatGPT, and Google's AI Overviews. Column Five frequently speaks with teams caught between burning six figures on traditional retainers and trusting unproven vendors making empty promises. The reality is that most firms sell legacy keyword plays under the label of Answer Engine Optimization (AEO) without touching technical data structures or model retrieval mechanics. Genuine AI search visibility requires auditing prompt baselines, building verifiable entity data, and structuring content specifically for multi-engine synthesis.

The repackaged SEO retainer in B2B SaaS marketing

The agency market moves fast when budgets migrate. Over the past twelve months, enterprise software buyers stopped asking for ten-post keyword clusters and started asking how to get their software recommended in conversational answer engines. Agencies responded by renaming their existing deliverables overnight.

Traditional search engine optimization centered on search volume, backlink counts, and metadata tags designed for ten blue links. A typical B2B SaaS retainer might assign three writers to draft 1,500-word articles around top-of-funnel queries like "what is cloud compliance." The agency then built secondary backlinks to those pages and tracked ranking positions on Google.

That exact workflow is now being sold as Generative Engine Optimization (GEO). You receive the same keyword research spreadsheet, the same generic drafting process, and the same monthly organic traffic report. The only difference is that the agency deck now features a screenshot of ChatGPT alongside a 20% price hike.

For mature pre-IPO startups and enterprise SaaS brands like Vercel and Databricks, agency investments run between $15,000 and $80,000 per month for dedicated creative pods. Paying enterprise rates for an agency that simply pastes traditional SEO copy into an AI tool wastes capital and degrades brand authority across machine-readable web indexes.

Why the market is flooded with false AI search expertise

The barrier to entry for claiming AEO capability is zero. Traditional marketing agencies watched client demand for legacy content creation drop, so they rapidly adopted the terminology of retrieval systems. The 2026 State of Generative Engine Optimization in B2B Marketing study by GNW Consulting and Demand Metric revealed that 88% of SEO agencies claim to offer GEO services, while 37% of those offerings remain loosely defined. Roughly four in ten agencies pitching AI search services cannot define what their team actually builds.

Understanding why this occurs requires examining how agency sales teams pitch services and how their operational teams mistake keyword volume for conversational search intent.

The sales decks look identical

Almost every sales deck circulating in B2B marketing right now opens with the same thesis. It highlights declining click-through rates from Google, shows an illustration of zero-click answer engines, and displays a single prompt test where a competitor gets cited instead of your product.

The vendor then promises to close that gap. Yet when you push past the introductory deck into the statement of work, the specific tactics reveal the truth. You see line items for standard keyword mapping, metadata writing, and general blog production. The underlying deliverables fail to align with the complete guide to implementing an AEO framework for B2B SaaS, which requires structural schema markup, citation-ready data formatting, and direct knowledge base integration.

The similarity in sales decks persists because agencies sell the outcome (AI search presence) while executing the only workflow their junior teams know (standard blog publishing). If the proposal lacks technical specifications for entity markup or engine-specific retrieval monitoring, you are reviewing a legacy SEO pitch in disguise.

Mistaking keyword volume for conversational intent

Traditional content programs build pages around isolated search terms that register high monthly search volume in tools like Semrush or Ahrefs. AI search models do not retrieve content based on static keyword density.

When a B2B buyer asks Claude or ChatGPT for a software recommendation, the engine looks for distinct entity attributes, third-party sentiment, structured performance data, and unambiguous factual claims. According to AirOps research from March 2026, language models retrieve dozens of pages during a live search session, but only 15% of those retrieved sources make it into the final synthesized answer. The remaining 85% get evaluated and discarded.

Agencies selling repackaged SEO write for that discarded 85%. They produce conversational filler, broad explanatory introductions, and repetitive keyword variations. A genuine AI search program structures pages so that when an engine scrapes the text, it extracts clear, verifiable claims that solve specific buyer problems without semantic fluff.

The technical questions to ask a B2B content marketing agency before you sign

Separating genuine AI search operators from agencies reselling outdated playbooks requires moving past high-level philosophy. When evaluating candidates, use the criteria outlined in the B2B SaaS agency selection FAQ: what to ask before signing a content retainer to assess their operational structure.

Pose the following four technical questions during your evaluation calls. Pay close attention to whether the account executive hesitates or provides a clear, documented operational standard.

+---------------------------------------------------------------------------------------------------+
|                                  THE 4 VETTING INTERROGATIONS                                     |
+---------------------------------------------------------------------------------------------------+
|  1. "Show me your prompt panel methodology."                                                      |
|     Expectation: Documented test set of 30-100 persona-specific queries tracked weekly.           |
+---------------------------------------------------------------------------------------------------+
|  2. "How do you account for different citation behaviors across engines?"                        |
|     Expectation: Tailored strategies for Perplexity, ChatGPT, and Google's AI Overviews.          |
+---------------------------------------------------------------------------------------------------+
|  3. "What tactics will you refuse to execute in the first 90 days?"                               |
|     Expectation: Intentional scoping that skips vanity queries and broad top-of-funnel noise.     |
+---------------------------------------------------------------------------------------------------+
|  4. "Who actually writes the content?"                                                            |
|     Expectation: Dedicated, named senior creatives who understand the nuances of the industry.    |
+---------------------------------------------------------------------------------------------------+

"Show me your prompt panel methodology"

Any agency can open ChatGPT, run three searches for your category, and paste a screenshot into a slide showing that you do not appear. That is not tracking. It is a sales tactic.

Ask the vendor to share an active client reporting dashboard or prompt set. A real AEO agency runs a prompt panel—a structured, repeatable collection of 30 to 100 fixed buyer prompts tracked across multiple models over regular intervals. Because model outputs carry inherent variance, tracking requires testing the same prompt multiple times per week across distinct environments to establish a statistically valid citation rate.

If the vendor's measurement strategy relies on one-off manual screenshots or basic organic traffic exports, they cannot measure your brand's true baseline. Demand to see the sampling frequency, the specific tools used to query the models, and how the agency normalizes prompt results over 30-day windows.

"How do you account for different citation behaviors across engines?"

Different answer engines pull and prioritize information in fundamentally distinct ways. An agency treating Perplexity, ChatGPT, and Google's AI Overviews as an identical monolith does not understand technical retrieval.

As detailed in the VERIFY Scorecard from MV3 Marketing, agencies must demonstrate deep engine coverage that accounts for the operational differences between platforms:

• Google's AI Overviews heavily weights classic Google index signals, structured Schema.org markup, Knowledge Graph verification, and top-ranking web URLs.
• Perplexity functions as a multi-source real-time search engine, prioritizing clear factual statements, technical documentation, academic papers, and fresh source material with high density.
• ChatGPT with Search pulls from Bing's index while applying distinct fine-tuning that favors trusted media publications, consensus entity databases, and well-structured data tables.

When an agency answers this question, listen for how they alter content formatting based on the target engine. If they deliver the exact same HTML template for every channel, they are running traditional SEO under a different name.

"What tactics will you refuse to execute in the first 90 days?"

Weak agencies agree to every request. They promise to overhaul your entire website, write 40 new articles, update your metadata, and build backlinks simultaneously.

A qualified content strategy team knows what not to do. In the first 90 days, an agency should explicitly refuse to chase broad, low-intent conversational queries. They should avoid rewriting pages that currently generate high conversion until a formal citation baseline exists. Furthermore, they should decline to automate hundreds of synthetic articles, knowing that mass-generated AI content frequently gets ignored by modern search crawlers.

Ask them to name specific buying-intent topics or industry keywords they would deliberately skip for your product. An agency that lacks the conviction to eliminate low-value work will simply burn your budget on high-volume, zero-intent deliverables.

"Who actually writes the content?"

Content production is the point where agency margins are won or lost. Agencies running repackaged SEO models pitch you with senior strategists, then hand execution off to entry-level freelancers or automated prompt tools producing generic outlines.

LLMs read generic prose and treat it as background noise. To earn citations, your content must offer original points of view, verified technical details, and unique proprietary data. That requires experienced subject matter experts and dedicated writers.

Ask the agency directly: Will our team work with a named, consistent pod of senior creatives, or will our assignments pass through an outsourced freelancer network? At Column Five, work is managed by dedicated senior creatives who stay on your account week after week. If an agency cannot name the individuals writing your technical content, walk away.

Red flags that mean you should walk away

When evaluating vendors, look for behavioral patterns that signal superficial execution. Use this side-by-side comparison to grade whether an agency operates as an actual AI search practitioner or a reseller of legacy services.

Operational Dimension	Real AEO Agency	Repackaged SEO Reseller
Citation Promises	Sets realistic visibility timelines; offers zero absolute citation guarantees	Guarantees #1 citations or fixed placement across AI engines
Measurement System	Uses a fixed prompt panel run across models on scheduled intervals	Sends ad hoc screenshots or reports traditional Google ranking positions
Technical Stack	Direct audits of JSON-LD, entity structures, robots.txt, and markdown feeds	Focuses entirely on meta descriptions, title tags, and basic word counts
Team Structure	Named, dedicated senior strategists, writers, and technical specialists	Anonymous writer pools, outsourced freelancer exchanges, or unedited LLM output
Time to Impact	Explicitly scopes 60 to 90 days before initial citation shifts register	Claims immediate citation gains within the first 14 to 30 days

The clearest warning sign is a vendor guaranteeing citation placements. As highlighted in OnlyAEO's RFP guide, no outside firm controls the underlying algorithms, weights, or probabilistic outputs of independent frontier models. An agency guaranteeing that your brand will appear as the first recommendation in ChatGPT is misrepresenting how generative engines function.

Another severe warning sign is an agency ignoring site infrastructure. Answer engines depend on crawl access and unambiguous entity data. If an agency never asks to inspect your robots.txt file, your JSON-LD organizational schema, or how your pages render in pure text environments, they are simply producing blog posts. They are skipping the foundational plumbing that allows AI crawlers to parse and store your company's core data.

Contractual safeguards to require before signing

Protecting your marketing budget requires writing technical accountability directly into the statement of work. Never sign a standard, evergreen SEO master services agreement that has merely been amended with an AEO addendum.

Incorporate these four specific provisions into your contract terms:

1. A defined 60-to-90-day review checkpoint: Meaningful shifts in AI search visibility take time. Crawlers must find revised entities, update internal indices, and integrate those associations into answer generation. A credible engagement requires a minimum 90-day sprint, but the contract must include an evaluation milestone tied to specific prompt-panel baselines.
2. Explicit prompt panel deliverables: The contract should state the exact number of persona prompts the agency will track, which engines they will query, and how often they will deliver data reports. Require raw query logs rather than curated slide decks.
3. Full ownership of technical data and content assets: Check that all custom datasets, structured schema configurations, prompt lists, and written materials remain your property immediately upon creation. Some agencies attempt to retain rights to prompt databases or custom evaluation software.
4. No long-term lock-in without clear accountability: Avoid twelve-month contracts that lack termination-for-cause terms based on execution failures. If an agency fails to deploy agreed technical updates or misses content production deadlines within the first 60 days, you need a straightforward 30-day exit clause.

A qualified content partner welcomes these contract terms because they clarify deliverables and define what operational success looks like.

Building an answer-ready content operation

Moving your B2B SaaS organization into AI search does not require abandoning creative storytelling or strategic positioning. The opposite is true: when machines summarize commoditized facts, the companies with distinct perspectives, original research, and clear frameworks win the citations that matter.

The goal is to stop paying for volume-driven SEO content mills that engines summarize away. Focus your internal and external resources on technical accuracy, clean structured data, and authentic brand narrative.

If you are currently evaluating your content marketing strategy or need an objective evaluation of your AI visibility, explore Column Five's content strategy services. You can also review our agency approach directly at columnfivemedia.com to see how our dedicated creative pods help enterprise B2B SaaS brands tell stories that win across human audiences and answer engines alike.