Three disciplines. Fifteen elements. Twenty checks.
The MeetGEO Method is our publicly available GEO, AEO and ACO methodology. It is the foundation of our managed services, the AI Visibility Sprint and the MeetGEO Platform.
Be Found and Cited
Generative Engine Optimization
Generative Engine Optimization helps make your brand, content and product information accessible and understandable to AI-powered search systems.
The Five Elements of GEO
1.Crawl access
The most common GEO failure is not bad content. It is a firewall rule, a Cloudflare setting, or a JavaScript render requirement that silently blocks the bots ChatGPT, Perplexity, and Gemini send. If the bot cannot read the page, the engine cannot cite it. The audit starts here.
2.Index presence
ChatGPT and Microsoft Copilot answer from Bing's index, not Google's. A top Google ranking does not transfer. If your pages are not in Bing's index, you are invisible to two of the six major AI surfaces regardless of your Google position.
3.Entity consistency
AI engines build knowledge graphs. Your business needs one consistent entity description: the same name, category, location, and summary across your site, your Google Business Profile, every directory you appear in, and every page that mentions you. Inconsistency tells the engine the business is not authoritative enough to cite with confidence.
4.Quotable content
AI engines lift sentences whole. A page of brand voice and marketing language gives them nothing they can extract cleanly. The sentences that get cited are specific, self-contained, and state one verifiable fact. The answer-first paragraph — the one that answers the question in the first two sentences — is the paragraph the engine quotes.
5.Freshness signals
AI engines weight recency. A page last updated three years ago ranks below a page updated last month, all else equal. Freshness signals are readable: the `dateModified` field in your Article schema, a visible publication date, and content that references current conditions.
Be the Answer
Answer Engine Optimization
Answer Engine Optimization structures product expertise, comparisons and buying information so AI systems can identify relevant answers to shoppers' questions.
The Five Elements of AEO
6.Answer-first structure
The first paragraph of an AEO-optimized page states the answer in full, then supports it. Most pages do the reverse: three paragraphs of context, then the answer. An AI engine processing thousands of pages selects the one that answers first.
7.Question-first headings
AI engines match search queries to headings. "Our Shipping Policy" does not match "how long does shipping take." "How long does shipping take?" matches exactly. The difference between being cited and being skipped is often one heading rewrite per page.
8.Structured markup
FAQPage, HowTo, Article, and Speakable schema tell an engine which content is structured as an answer source. A page with FAQPage schema is readable as a Q&A source without inference. A page without it makes the engine decide — and it usually decides on something else.
9.Authority signals
Bylines with linked author pages, visible publication and update dates, outbound links to primary sources. An AI engine asked to cite a page favors content it can attribute to a credible, identifiable source. Anonymous content — no author, no date, no citations — is passed over.
10.Citation surface
The pages that get cited most are not always the most comprehensive pages on a site. They are the pages already referenced externally: linked from credible sites, mentioned in industry threads, cited in reviews. AEO includes the off-site work that builds citation surface, not only the on-page work.
Be Chosen
Agentic Commerce Optimization
Agentic Commerce Optimization prepares product and merchant information for AI shopping systems that compare options and help customers make purchasing decisions.
The Five Pillars of ACO
11.Completeness
Granular product schema in JSON-LD: SKUs, GTINs, variants, exact dimensions, prices, availability and shipping details. An agent cannot evaluate what it cannot read.
12.Context
Conversational attributes alongside standard fields: "compatible accessories," "weather operating limits," "requires professional installation." AI agents match on specifics, not categories.
13.Citations
Third-party validation the AI models trust: editorial reviews, verified aggregate ratings, forum mentions. An agent that cannot confirm your claims skips you for a source it can.
14.Correctness
Absolute data integrity across product feeds. A price mismatch or an out-of-stock flag in the wrong field causes an agent to filter you out before any human is involved.
15.Conversion path
Friction-free checkout paths machines can navigate: programmatic payment authorization, virtual card support, stable non-JavaScript forms, and a `native_commerce` feed attribute that signals agent-readiness to the protocol layer.
Every commercially important page is scored against the same twenty checks.
- 01
Crawler access and the firewall rules that silently block AI
- 02
Presence in Bing and the indexes ChatGPT and Copilot search
- 03
Text that lives in the raw HTML, not only in scripts
- 04
One consistent entity description everywhere you are listed
- 05
Answer-first opening paragraphs
- 06
Headings written as customers ask
- 07
Quotable, self-contained sentences
- 08
Comparison tables
- 09
Sourced numbers
- 10
FAQ blocks on the pages that sell
- 11
Directory and listing presence
- 12
The community threads AI reads
- 13
Review structure
- 14
Verifiable bylines
- 15
Fit statements
- 16
Freshness signals
- 17
Images AI can read
- 18
Comparison and versus pages
- 19
A prompt test bank
- 20
A measurement setup
Want the Method applied to your store?
We can run it for you through managed services or the AI Visibility Sprint, or your team can work through it with the MeetGEO Platform.