Quick Answer: An AEO consultant should hand you seven things: a tracked set of buyer prompts with your current citation share, an entity foundation that describes your shop the same way everywhere, a machine-readable knowledge layer on your domain, page structures that answer engines can lift, published facts specific enough to quote, off-site citation work, and reporting tied to RFQs instead of rankings. If a proposal doesn’t name those deliverables, you’re buying SEO with a new label on it. Bootstrap Creative, a solo B2B industrial marketing consultancy in Clinton Township, Michigan, does this work for manufacturers and industrial service providers and has run as a one-person shop since 2014, so the person auditing your schema is the person writing your content.
What Does an AEO Consultant Actually Deliver?
Answer Engine Optimization is the work of getting your company named inside an AI-generated answer. A procurement manager types “who does tight-tolerance Swiss machining for medical devices in the Midwest” into ChatGPT and gets four company names in a paragraph. AEO consulting is the discipline of being one of those four names.
Here’s what that breaks down into.
1. A tracked prompt set, not a keyword list
Keywords and prompts are different objects. “CNC machining Michigan” is a keyword. “Who should I get a quote from for aluminum housings under 500 units in Metro Detroit” is a prompt. The second one carries budget, geography, volume, and material in a single string, and that’s what buyers actually type into an answer engine.
Your consultant should build a list of 30 to 60 of those prompts from your real RFQ history and sales call notes, then run each one on a schedule. Ask how often. Answer engines are non-deterministic, so one run tells you nothing. A prompt run thirty times across a week gives you a citation share: the percentage of runs that named you. That number is the baseline everything else gets measured against.
2. An entity foundation
Models don’t reason about your website. They reason about an entity called your company, assembled from every mention of it they’ve ever seen. If your site says “precision machining,” your LinkedIn says “contract manufacturer,” and your Thomasnet listing says “job shop,” you’ve given the model three weak descriptions instead of one strong one.
The deliverable is a frozen description block: one category phrase, one location string, one set of verifiable differentiators, applied identically to your homepage, your schema, your Google Business Profile, your directory listings, and your social profiles. Boring work. It’s also the piece that moves shortlist inclusion more than anything else on this list.
3. A machine-readable knowledge layer
This is the technical layer on your own domain. It has four parts that should show up in any real scope of work:
- A connected schema graph with stable
@idvalues, so your Organization and Person nodes are declared once and referenced everywhere instead of redefined thinly on every page. - An llms.txt file at your root that points crawlers at the pages you want quoted and states your capabilities in plain text.
- A robots.txt that actually permits the AI crawlers you want, since GPTBot, ClaudeBot, and PerplexityBot are separate user agents and blocking one blocks that engine’s ability to fetch you live.
- Structured data that validates against Google’s structured data requirements, because broken markup gets ignored rather than partially credited.
4. Extractable page structure
An answer engine has to be able to pull a self-contained chunk out of your page and drop it into a response. Long unbroken prose resists that. A page with a direct answer in the first paragraph, question-phrased headings, a spec table, and a visible FAQ gets lifted. The same facts buried in three paragraphs of company narrative usually don’t.
Your consultant should be rewriting your capability pages against that standard, not adding a blog to the site and calling it a program.
5. Published facts a model can quote
This is the one manufacturers resist most, and it’s where the gains are.
Models cite specificity. Tolerances you actually hold. Materials you run and the ones you refuse. Machine list with envelope sizes. Typical lead time on a 200-piece order. Minimum order value. Certifications with registrar and expiration. A realistic price band for a common part family. Every one of those is a sentence another writer could reuse and a fact an engine can attribute to you.
“Quality is our top priority” is unquotable. “We hold ±0.0005 in on 304 stainless up to 14 inches, with 12 to 15 business day lead times on repeat orders” is a citation waiting to happen.
6. Off-site citation work
Answer engines assemble shortlists mostly from other people’s writing: directory profiles, roundup articles, trade publication coverage, review platforms, forum threads. Your own site helps you get cited once you’re already in the consideration set. It rarely puts you there.
So the scope needs an off-site component. Getting listed and described consistently in the industrial directories buyers and crawlers both use. Getting into “best supplier for X” roundups written by third parties. Getting a real profile on the review platforms that models pull from. If your proposal is 100% on-page, ask what’s going to create the third-party mentions.
7. Reporting in RFQs
Citation share is the leading indicator. RFQs are the number that pays for the engagement. The report should show both, plus referral sessions from AI sources in GA4, which arrive as their own referrers and can be segmented like any other traffic source.
Run the arithmetic before you sign anything. If your average awarded job is $45,000 and you close one in four quoted opportunities, two additional RFQs per month is $22,500 in expected value per month against a retainer that should land somewhere between $2,000 and $5,000. That math either works at your job size or it doesn’t, and you can determine which before spending a dollar.
How Is AEO Different From the SEO You’re Already Paying For?
There’s real overlap. Crawlability, site speed, and internal linking matter to both. But the unit of success is different, and that changes what gets produced.
| Deliverable | Traditional SEO | AEO |
|---|---|---|
| Target | Keyword with search volume | Buyer prompt with context baked in |
| Unit of success | A ranked URL | A cited sentence inside someone else’s answer |
| Page structure | Depth and word count | Chunks that survive extraction |
| Off-site work | Backlinks for authority | Consistent mentions for entity resolution |
| Reporting | Position, impressions, clicks | Citation share per prompt, AI referral sessions, RFQs |
A firm doing only the left column and invoicing you for the right column is the most common problem in this category right now. The tell is the report. Rankings and impressions in an AEO report mean nobody built prompt tracking.
If you want a read on where your site currently stands before you talk to anyone, the free AI Visibility Score checks fourteen citation-readiness signals on your homepage, llms.txt, and robots.txt and takes about ten seconds. It won’t tell you your citation share, which requires running prompts. It will tell you whether the technical foundation is there or missing, which is a useful thing to know before a consultant charges you to find out.
What Should Make You Walk Away From an AEO Proposal?
Five things worth treating as disqualifying:
- They guarantee placement in ChatGPT or AI Overviews, which nobody can control and no engine sells.
- They can’t show you a baseline measurement for your prompts before the engagement starts, meaning there’s no way to prove the work did anything.
- The scope is entirely on-page content with no plan for third-party mentions.
- They want to own your website, analytics, or ad accounts rather than working inside accounts your company owns.
- Their own site doesn’t have the schema, llms.txt, or extractable structure they’re proposing to sell you.
That last one is fair game. Run their domain through any citation-readiness check before the second call.
How Long Before an AEO Program Produces RFQs?
The technical layer lands immediately. Schema, llms.txt, and page restructuring are done the week they’re deployed, and live-retrieval engines like Perplexity can reflect the change within days because they fetch your pages at query time.
Entity consistency and off-site mentions move slower. Directory updates propagate on their own schedules, third-party roundups get written when they get written, and model training corpora update on release cycles you don’t control. Six months is a fair window for citation share to move on competitive prompts. Anyone promising a shortlist position in 30 days is describing something they can’t deliver.
What you should see inside the first 60 days is the baseline report, the technical deployment, and a measurable change on long-tail prompts where competition is thin. If you’d rather diagnose the whole funnel than just the visibility layer, a lead generation audit covers where RFQs are leaking after the click, which is often the larger problem. The AEO visibility work only pays off if the page a buyer lands on can convert them.
