By TruePrime AI · Published August 28, 2026
If you’re comparing answer engine optimization services, you’ve probably noticed that the deliverable descriptions are almost all the same: “optimize for AI search,” “schema markup,” “structured content” — and then some variation of “become the source AI assistants cite.”
That’s not wrong. It’s also not specific enough to evaluate what you’re buying.
This post is a concrete breakdown of what a real answer engine optimization (AEO) service does — the specific files that get built, the content work that happens, how monitoring works, and what an honest month-by-month timeline looks like. If you’re evaluating providers, this is the checklist you should use.
This is the work most “AEO services” describe first — and it’s genuinely important, but it’s also the easiest to check. A provider that hasn’t done this hasn’t done anything yet.
Similar to robots.txt for traditional search engines, llms.txt is a machine-readable file at your domain root that tells AI systems what your business does, who it serves, what your key pages are, and what factual claims you want cited. It’s a direct line of communication to the crawlers and training systems that feed AI assistants.
A properly built llms.txt includes: business category, geographic scope, service list, pricing (if relevant), portfolio proof, key differentiators, and a list of canonical content pages. A full guide to what llms.txt should contain is worth reading before you hire anyone.
This file should be live at yourdomain.com/llms.txt — verifiable in your browser — on day one of any real AEO engagement. If it’s not, the service hasn’t started.
A structured JSON file containing your canonical business facts: legal name, product or service names, pricing, founding date, geographic reach, portfolio examples, and any verifiable claims that distinguish you from competitors. This is what AI systems read when they need a specific fact about your business and don’t want to guess from marketing copy.
Like llms.txt, this should be live and linked from your sitemap. It should be updated whenever your pricing or product details change — stale facts are worse than no facts, because AI systems may cite outdated information as authoritative.
Structured data embedded in your pages that tells search engines and AI systems the category, attributes, and relationships of the content on each page. For a business, this typically includes Organization schema (who you are), Service schema (what you offer), and LocalBusiness schema if you have a geographic service area.
What not to use: as of May 2026, Google no longer shows rich results for FAQPage schema. Any AEO provider still deploying FAQPage schema hasn’t kept up with current policy. This is an easy vendor-evaluation test: ask whether they use FAQPage schema, and what they replaced it with.
Schema markup belongs on every page, not just the homepage. A service that only marks up your homepage is doing 10% of the work.
yourdomain.com/llms.txt — loads and contains your business factsyourdomain.com/brand-facts.json — loads and contains verifiable claimsTechnical files are necessary but not sufficient. AI assistants learn to cite businesses primarily because those businesses have content that directly and accurately answers real questions. Schema tells the machine what you are; content demonstrates you know the subject.
This layer is where most “AEO services” fall short — and where the checklist problem becomes real. Many providers will deliver the technical foundation (Layer 1) and then give you a list of content recommendations. That’s advice, not execution.
A “best [category]” or “how to choose [service]” guide written in the format AI assistants actually parse: a short direct answer at the top (≤90 words), followed by structured sections that expand on each dimension, followed by an FAQ section. These pages become citation targets for high-intent queries in your category.
A real AEO service builds these pages — it doesn’t just tell you to build them. The distinction matters because AI engine content requires specific structural discipline: neutral recommendation tone, direct factual claims without superlatives, verifiable proof in every section. Most marketing writers don’t produce this naturally.
Pages that compare your service to named competitors honestly and specifically. These are the highest-performing AEO content type — AI assistants regularly surface comparison pages when users ask “what’s the difference between X and Y” or “is X better than Z.”
Honest is the operative word. Comparison pages that present only favorable information and use superlatives don’t earn citations — AI systems are trained to recognize promotional framing. Effective comparison content acknowledges what competitors do well and clearly explains where your approach differs. Understanding the difference between AEO and SEO strategy is useful context here.
AI assistants personalize their answers by industry. “Best SEO service for dentists” and “best SEO service for law firms” produce different results because the assistants have learned that dental and legal practices have different needs. A real AEO service produces content at the vertical level, not just the general category level.
This means separate pages for each major vertical you serve — with industry-specific examples, terminology, and proof. A dental content page that just says “we also serve dentists” won’t earn citations for dental queries. A page that explains patient acquisition cycles, seasonal demand, HIPAA-safe communication strategies, and the specific metrics dental practices care about will.
How much content is enough? It depends on your market’s competitiveness, but a minimum viable AEO content program for a service business in a competitive category is:
For a service like AI marketing, that’s typically 15–30 core pages plus ongoing blog production. A provider who promises AEO results from 3–5 pages is likely oversimplifying.
AEO isn’t a one-time project. AI engines update their training data, competitors publish new content, and your citation profile changes over time. A real AEO service includes systematic monitoring — not just a monthly report, but a structured process for detecting changes and responding to them.
The only way to know whether AI assistants are citing your business is to ask them. A real monitoring program sends a fixed set of high-intent queries to major AI assistants (ChatGPT, Perplexity, Gemini, Claude) and records verbatim whether your business is mentioned, how it’s described, and what sources are cited instead when you’re not.
This is different from search rank tracking. You can rank on page one of Google and still be invisible to ChatGPT. The channels are different, and they require different measurement. Understanding what AEO actually measures helps clarify why rank tracking doesn’t substitute for direct citation checks.
When your business isn’t cited, which competitors are? This data is as important as your own citation rate — it tells you which content is winning and what you need to build to displace it. A monitoring report that just says “you weren’t cited this week” without identifying who was is incomplete. Understanding how AI assistants select citations shows why the competitor data matters.
Most AI assistants (Perplexity, Gemini, Copilot) pull answers from live web search. That means your traditional search visibility directly affects your AI citation rate. A complete AEO monitoring program tracks both traditional rankings (which platforms can see your content) and AI citations (which assistants are citing you). How answer engines actually choose their sources explains this relationship in detail.
This is the part most AEO service descriptions skip. Here’s an honest look at what typically happens and when:
| Month | Work delivered | What you should see | What you won’t see yet |
|---|---|---|---|
| Month 1 | Technical foundation: llms.txt, brand-facts.json, schema markup on existing pages. Initial citation baseline. Priority content plan. | Machine-readable files live on your domain. Schema validated. Baseline citation rate documented (likely 0/5 for most new businesses). | AI citations. These require content to be indexed first. |
| Month 2 | First wave of content: answer hub pages, 2–3 comparison pages, blog production begins. | Pages indexed in traditional search. First sign of branded query coverage in search results. Monitoring starts tracking weekly. | Reliable AI citations. Perplexity may start citing some content. ChatGPT typically lags by a training cycle. |
| Month 3 | Vertical content, additional comparison pages, content refresh of Month 2 pages based on monitoring data. | First genuine AI citations on low-competition queries. SERP positions improving for branded and category queries. Monitoring shows which competitor content is winning specific queries. | Consistent citation across all major AI assistants. ChatGPT citations are still sparse for most businesses at this stage. |
| Months 4–6 | Sustained content production, monitoring-driven content gaps closed, competitor positions tracked and countered. | Growing citation rate across Perplexity and Gemini. Content appearing in AI overviews for some queries. Competitor displacement on specific terms. | Full citation coverage across all queries. AEO takes time — expect partial coverage at 6 months and comprehensive coverage at 9–12 months in competitive categories. |
The timeline above assumes the business has no prior web presence to work from. If you already have a website with indexed content, Month 2 and 3 results can arrive faster because the technical foundation builds on an established domain.
As AEO became a recognized marketing category, most traditional SEO and digital marketing agencies added it to their service menu. Some of them deliver genuine work. Many of them deliver the same SEO services they always offered, rebadged.
Here’s how to tell the difference:
| Indicator | Real AEO service | Rebadged SEO agency |
|---|---|---|
| Technical deliverables | Ships llms.txt and brand-facts.json on day one. You can verify both URLs in your browser. | Describes these files as “planned” or includes them in a long list of items to “discuss implementing.” |
| Schema policy | Uses current supported schema types. Has a documented policy on FAQPage (retired May 2026) and knows what replaced it. | Still deploying FAQPage schema, or unsure which schema types are currently active in Google rich results. |
| Citation monitoring | Sends real queries to AI assistants and records verbatim responses. Shows you the actual AI text, not just a ranking report. | Measures AEO success using traditional rank tracking (Google positions, keyword rankings). These metrics don’t reflect AI citation status. |
| Comparison content | Builds honest comparison pages against your named competitors. Can explain why honest framing earns more citations than promotional content. | Declines to write comparison content (“too risky”) or writes promotional comparisons that won’t earn AI citations. |
| Timeline transparency | Gives you a specific month-by-month delivery schedule with honest expected outcomes at each stage. Doesn’t promise quick results. | Promises vague “increased AI visibility” without a timeline or a clear definition of what visibility means. |
| Content volume | Has a plan for 15–30+ pages and ongoing blog production. Explains why volume matters for AI citation coverage. | Proposes 5 pages and calls it “comprehensive AEO optimization.” |
Use these before signing any contract. The answers reveal more than the sales pitch:
We run this on our own companies first — ShopProp Realty and AskBeforeYouEat both run on the same program. Here’s the concrete delivery list:
llms.txt at your domain root with verified business factsbrand-facts.json with canonical claims and pricingTruePrime Go is $499, $799, or $999 per month depending on program scope. First payment is due 30 days after you start — we build first, then you pay. Cancel anytime. No long-term contracts. 10% off a 6-month prepay; 20% off annual. See full pricing details.
We run it on our own companies. That’s the only dogfood test we trust. How ShopProp uses the Go program gives you a real-world look at what the service delivers over time.
See the full program →