A B2B SaaS company starting AEO should not start with a blog. It should ship five pages first, because these are the pages buyers actually ask AI about: a pricing page with real numbers, a comparison page against named competitors, an integrations page, a use-case page for the primary buyer, and an entity-home about page. These five answer the highest-intent, highest-frequency questions an AI engine fields about your category, and they convert the citation into a buyer. Blog content compounds later; these five produce citations now. This is what each page must contain and why this order.
The default AEO advice for B2B SaaS is to start a blog and publish consistently. That advice is not wrong, but it is the wrong first move, because a blog compounds slowly and the citations it earns are usually top-of-funnel, informational, far from a purchase. Meanwhile the questions buyers actually ask an AI engine when they are close to buying, what does it cost, how does it compare to the alternative, does it integrate with my stack, does it solve my specific problem, who is this company, are answered by pages most SaaS companies have not built to be citable, if they have built them at all.
Starting AEO with these five pages inverts the usual order to match buyer intent. They are harder to write than a blog post because they require real specifics, but they earn the citations that sit closest to revenue, and they earn them faster because they answer high-frequency, high-intent questions directly. Here is the set, in priority order, and what each must contain.
1. The pricing page, with real numbers
Pricing is the most-asked and highest-intent question in B2B SaaS, and the page that answers it is the one to ship first. When a buyer asks an engine what a tool costs, a page with real, structured pricing can be cited and a page that says "contact us for pricing" cannot, because there is nothing to quote. The competitor who publishes numbers wins that citation by default, and the citation is about as close to a purchase decision as content gets.
The page must contain actual numbers, the tiers, what each costs, what each includes, in plain text and ideally with Offer schema. The common objection, that publishing pricing helps competitors, is usually outweighed by the cost of being uncitable on the single highest-intent question in your category. If your pricing genuinely cannot be fixed numbers, publish the structure and the starting points and the model, anything that lets an engine say something concrete about what you cost. Vague pricing is the same as no pricing to an engine.
2. The comparison page, against named competitors
Buyers close to a decision ask comparison questions: how does X compare to Y, what is the best alternative to Z. These "versus" queries are extremely high intent and extremely common, and the page that answers them is a comparison page that names real competitors. Naming competitors feels uncomfortable, but it is what captures the query, because the engine answering "X vs Y" wants a source that actually addresses both.
This page does double duty. It captures the comparison queries directly, and it creates co-mention with the category leaders, tying your entity to theirs in the engine's understanding and borrowing some of their established standing. The co-mention effect compounds your authority faster than mentions of you alone, so a comparison page is both a high-intent citation magnet and an authority-building asset. Write it fairly, because an engine and a buyer both detect a comparison that only flatters you, and an honest comparison that acknowledges where a competitor is stronger reads as more trustworthy and gets cited more.
3. The integrations page
B2B buyers will not adopt a tool that does not fit their existing stack, so "does it integrate with my tools" is a near-universal pre-purchase question. An integrations page that names the platforms you connect with answers it directly, and like the comparison page it generates co-mention, this time with the known platforms in your buyers' stacks. Each named integration ties your entity to an established one and answers a real buyer question at once.
The page should name integrations specifically and describe what each one does, in plain text an engine can extract, not just a wall of logos, which a text crawler reads as nothing and a vision model reads as decoration. State the integration in words: what it connects, what it enables. This converts a logo wall, which is invisible to extraction, into citable content that answers "does it work with my stack" for each named platform.
4. The use-case page for the primary buyer
Buyers ask whether a tool solves their specific problem, phrased in their own words and their own context, not your feature names. A use-case page built around your primary buyer's actual problem answers this by describing the problem and the solution in the buyer's language, matching the way they would ask an engine about it. This is where you translate your features into the outcomes and situations buyers actually search for.
Start with one, the primary buyer's primary use case, rather than trying to cover every segment at once. A single sharp use-case page that deeply matches one buyer's problem outperforms a vague page gesturing at many, because the engine matches specificity. The page should name the problem as the buyer experiences it, describe the situation, and explain the solution concretely, using the vocabulary of the buyer rather than the vocabulary of your product team. Additional use-case pages come later; the primary one ships in the first five.
5. The entity-home about page
The fifth page is the one that makes the other four resolve: an entity-home about page that defines the company as a recognizable entity. Every citation the other four pages earn needs a company to attach to, and if the engine cannot resolve who you are, the citations are weaker and your brand harder to surface. The entity home states what the company is, what it does, and connects it to its known profiles, giving the engine an anchor for everything else.
This is not a narrative about-us page of mission statements and team photos; it is a structured definition of the company entity. The difference between a marketing about page and an entity home is the difference between persuasion and machine-resolvable definition, and the entity home is what lets the engine treat your company as a known thing the other four pages' citations can reference. It ships in the first five precisely because it is the anchor, even though it earns fewer direct citations than the pricing or comparison pages.
Why this order beats starting with a blog
The contrarian point is that content marketing orthodoxy, start a blog, publish consistently, build authority over time, is correct about the long run and wrong about where to start. The blog compounds, but slowly, and it earns informational citations far from the purchase. These five pages earn high-intent citations close to the purchase, and they earn them quickly because they answer questions buyers are already asking engines in high volume. You ship the five, then you start the blog, not the reverse.
The sequence also builds correctly. The entity home anchors everything. The pricing and comparison pages earn the highest-intent citations. The integrations and use-case pages answer the fit questions that stand between interest and adoption. Together they cover the bottom of the funnel that a blog mostly does not reach, and they do it with five pages rather than fifty blog posts. For a SaaS company with limited time entering AEO, this is the highest-return starting point, and it sets the foundation that later blog content builds on rather than substitutes for. The full picture of how these pages score sits within the complete AEO signal set, but the starting move is these five pages, in this order, before anything else.
Sources
- Google, helpful content and high-intent pages: guidance on content that directly answers buyer questions. developers.google.com
- Schema.org, Offer and Product for pricing: structuring pricing so it can be cited. schema.org/Offer
- Princeton, GEO: Generative Engine Optimization: research on which page properties earn generative citations. arxiv.org/abs/2311.09735
- Website AI Score, brand co-mentions: how comparison and integration pages compound authority. View article
- Website AI Score, About Us vs entity home: building the entity-home anchor page. View article

