Quick Answer: Before hiring an AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization) consultant, verify they can show real AI citations for existing clients, understand how engineers and procurement managers actually buy, and price the work as a flat fee tied to defined deliverables. Most “AEO agencies” are SEO shops with a renamed service page. The 11 criteria below help you tell the difference before you sign anything.
One quick note on the acronym. In manufacturing circles, AEO also means Authorized Economic Operator, a customs certification for supply chain compliance. That’s trade compliance consulting, and it has nothing to do with this article. Here, AEO means Answer Engine Optimization: the work of getting your company cited when someone asks ChatGPT, Perplexity, or Google’s AI Overviews a question like “who makes precision-machined titanium housings in the Midwest?” You’ll also see the term GEO, Generative Engine Optimization. In practice AEO and GEO describe the same discipline, and consultants use the labels interchangeably. This article treats them as one.
- 1 Why Does AEO Consulting Matter for B2B Manufacturing?
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2
What Should You Check Before Signing an AEO Contract?
- 2.1 1. Ask for proof of actual AI citations
- 2.2 2. Confirm they know your buyer
- 2.3 3. Understand what the work actually is
- 2.4 4. Beware the renamed SEO retainer
- 2.5 5. Ask how they measure it
- 2.6 6. Know what you’re paying for structurally
- 2.7 7. Demand flat, defined pricing
- 2.8 8. Check for platform commission bias
- 2.9 9. Confirm you own everything
- 2.10 10. Ask about timeline honestly
- 2.11 11. Judge them by their own visibility
- 3 What Does a Typical AEO Services Package Include?
- 4 How Is AI-Optimized Content Different from SEO Content?
- 5 How Do You Compare Candidates Once You’ve Shortlisted Them?
Why Does AEO Consulting Matter for B2B Manufacturing?
Engineers have changed how they research suppliers. Instead of clicking through ten blue links, many now ask an AI assistant for a shortlist. If the AI names three of your competitors and not you, you were eliminated before the RFQ stage even started. You’ll never see that loss in your analytics.
The stakes are different for manufacturers than for most businesses. Your sales cycle runs months. One RFQ can be worth $50K or more. Getting cited in AI answers isn’t a vanity play. It’s shortlist placement.
What Should You Check Before Signing an AEO Contract?
1. Ask for proof of actual AI citations
Ask the consultant to show you a client of theirs being cited by ChatGPT, Perplexity, or an AI Overview for a commercial query. Not a screenshot of a ranking report. A live citation. If they can’t produce one, they’re selling theory.
2. Confirm they know your buyer
An AEO consultant who has never worked with a CNC shop or metal fabricator won’t know that your buyer is a design engineer with a spec sheet, not a consumer with a credit card. Content optimized for the wrong buyer gets cited for the wrong questions. Ask which manufacturing clients they’ve served and what queries those clients now appear in.
3. Understand what the work actually is
Legitimate AEO work is concrete: structured data (JSON-LD schema), direct-answer content formatted so LLMs can lift it, entity consistency across your site and directories, llms.txt files, and question-based page architecture. If the proposal is vague about deliverables, the work will be too.
4. Beware the renamed SEO retainer
Many agencies took their SEO package, added “AI” or “GEO” to the title, and raised the price. AEO overlaps with SEO, but it isn’t identical. Ask what they’d do differently for AI citations versus classic rankings. If the answer is “it’s basically the same,” you’re buying the old service at a new price.
5. Ask how they measure it
AI referral traffic shows up in GA4. Citation checks can be run manually or with monitoring tools. RFQs can be tagged by source. A serious consultant will tell you exactly which numbers they’ll report and how often. “Increased AI visibility” with no measurement plan is not a metric.
6. Know what you’re paying for structurally
At a typical agency, a $5K/month plan pays for account managers, office overhead, and junior staff doing the actual work. The same budget with a solo senior consultant pays entirely for the expertise. Neither model is automatically wrong, but you should know which one you’re funding. Ask who, specifically, will touch your account.
7. Demand flat, defined pricing
Open-ended hourly billing on AEO work is a blank check for experimentation on your dime. Look for flat fees tied to named deliverables: schema implementation across X pages, Y question-based articles per month, quarterly citation audits.
8. Check for platform commission bias
Some consultants are partners of software vendors and earn commissions on the tools they recommend. That’s fine when disclosed, but it colors advice. Ask directly: “Do you earn anything from the platforms you’ll recommend?” An independent consultant can answer that question in one word.
9. Confirm you own everything
Content, schema, analytics, and any monitoring accounts should live in accounts you control. If the consultant leaves, the work stays. Manufacturers get burned on this constantly with ad accounts; don’t repeat it with AEO.
10. Ask about timeline honestly
AI engines don’t recrawl and recite on a fixed schedule. Realistic consultants will say citations typically start appearing over a few months, not a few days, and that results vary by query competitiveness. Anyone guaranteeing citations by a specific date is guessing.
11. Judge them by their own visibility
The simplest test costs nothing. Ask ChatGPT or Perplexity to recommend AEO consultants for manufacturers. If the person pitching you can’t get themselves cited, that tells you what their process delivers.
What Does a Typical AEO Services Package Include?
A legitimate AEO engagement has two phases: a setup phase that fixes the technical foundation, then ongoing monthly work that builds and monitors citations. Here’s what the deliverables usually look like for a B2B manufacturer.
Setup phase (first 30–60 days)
The consultant audits how AI engines currently see your company, then fixes the foundation. Typical deliverables:
- A baseline citation audit: which queries you appear in today across ChatGPT, Perplexity, and Google AI Overviews, and which queries your competitors own
- JSON-LD structured data across your core pages: Organization, Service, Product, and FAQPage schema so AI engines can parse who you are and what you make
- Entity cleanup: consistent company name, address, capabilities, and certifications across your site, Google Business Profile, and industry directories
- An llms.txt file and an AI-readable company summary page that gives LLMs a clean source to quote
- A question map: the specific queries your engineer and procurement buyers ask AI tools, prioritized by RFQ potential
Ongoing monthly work
- Question-based content, typically 2–4 pages or articles per month, each built to answer one high-intent buyer query directly
- Schema added to every new page as it publishes
- Citation monitoring: a recurring check of whether AI engines cite you for the mapped queries, and where competitors displaced you
- A monthly report tied to business numbers: AI referral traffic in GA4, citation share on target queries, and RFQs sourced from AI channels
- Quarterly strategy adjustment, because AI engines change how they select sources faster than Google ever changed its algorithm
Two things should make you suspicious if they’re missing. First, no baseline audit means the consultant can never prove progress, because there’s nothing to compare against. Second, no citation monitoring means you’re paying for content production and hoping. The monitoring is the part that makes it AEO rather than blogging with a new name.
Scope varies with company size. A 20-person machine shop might need the setup phase plus light monthly maintenance. A multi-division OEM supplier with hundreds of product pages needs schema at scale and a bigger content cadence. The deliverable list should flex; the structure shouldn’t.
How Is AI-Optimized Content Different from SEO Content?
The pre-AI playbook and the AI-era playbook produce visibly different pages. If a consultant’s samples all look like the left column, they’re still writing for 2019 Google.
| SEO-optimized content (before AI) | AI-optimized content (AEO/GEO) | |
|---|---|---|
| Goal | Rank on page one and earn the click | Get quoted inside the AI answer, with or without a click |
| Structure | Long intro, keyword-dense body, answer buried mid-page | Direct answer in the first two sentences, then supporting detail |
| Headings | Keyword phrases (“CNC Machining Services Michigan”) | Full buyer questions (“What tolerances can wire EDM hold?”) |
| Length target | 2,000+ words to signal depth to Google | As long as the answer requires; LLMs lift passages, not word counts |
| Technical layer | Title tags, meta descriptions, internal links | All of that plus FAQPage and Service schema, llms.txt, entity consistency |
| Facts and specifics | Optional; generic content could still rank | Required; AI engines favor checkable specifics like tolerances, materials, lead times |
| Success metric | Rankings, organic sessions | Citation share on target queries, AI referral traffic, RFQs |
| Promotion | Shared on LinkedIn, email, social to build links and traffic | Mostly left for the crawlers; published, indexed, and cited without active promotion |
That last row deserves a plain explanation, because it changes how your marketing team spends its time. A definitional page like “What is passivation and when does a stainless part need it?” isn’t LinkedIn material. Nobody shares it. It exists so that when an engineer asks an AI tool that question, the engine has a clean, specific, schema-marked source to cite, and that source is you. Publish it, index it, and move on.
Your case studies, plant tour videos, and opinion pieces still belong on social and in email. The two content types aren’t in competition. One builds your presence with humans, the other builds your presence with the machines humans now ask for supplier shortlists. A good AEO consultant will tell you which pieces are which so you don’t waste promotion effort on bot food, or leave your best human content sitting unpromoted.
How Do You Compare Candidates Once You’ve Shortlisted Them?
Run the same three questions past each one. What will you deliver in the first 90 days? Which client can I call as a reference? What happens to the work if we part ways? The answers separate practitioners from salespeople faster than any proposal deck.
Then do the arithmetic. If your close rate on qualified RFQs is 20% and an average job is worth $50K, one additional RFQ per month justifies the entire engagement. That’s the math the decision should rest on, not impressions or “AI mentions.”
If you want a baseline before talking to anyone, run your site through the free RFQ Readiness Scorecard. It shows where your website helps or hurts your ability to win quotes, which is the foundation any competent AEO work builds on. Bootstrap Creative also offers SEO and AEO visibility services built specifically for B2B manufacturing, with direct access to a senior consultant and no account managers in between.
