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Web Development & MarketingTodayJustin Pennington

Make Your Site Quotable: Practical AEO for Mid-Market Companies

Make Your Site Quotable: Practical AEO for Mid-Market Companies

A growing share of buyer research never touches a search results page. Someone types a question into an assistant, gets a synthesized answer with three or four citations, and only clicks through if something looks worth verifying. Your site either feeds that answer or it doesn't. Answer Engine Optimization — AEO — is the work of making sure it does.

This isn't a replacement for SEO. The fundamentals still hold: useful content, clean technical foundations, a site that loads fast. What changes is the unit of competition. You're no longer fighting for a blue link on a page of ten. You're fighting to be the source a model pulls a sentence from.

Answer Engines Assemble, They Don't Rank

A traditional search engine hands the user a list and lets them choose. An answer engine reads a handful of sources, extracts the pieces that address the question, and stitches them into a response. That has a practical consequence most marketing teams haven't adjusted for: your page doesn't need to be the best page on the internet. It needs to contain the clearest, most extractable statement of a specific fact.

That favors a particular kind of writing. Short, declarative answers. Specific numbers with units and context. Dates on anything time-sensitive. A heading that mirrors the question a human would actually ask, followed immediately by the answer — not by three paragraphs of preamble about why the question matters.

Most B2B sites do the opposite. They bury the answer under positioning language, split it across a brochure page and a PDF, and hedge every specific with "it depends." It may well depend. Say what it depends on, then give the typical range.

Consistency Is the New Authority

Models build an internal picture of your company from everything they've seen: your site, your profiles on third-party directories, press mentions, documentation, review platforms. When those sources disagree — different service descriptions, an old address, pricing that changed two years ago and still lives on a landing page nobody edits — confidence in your business as a source drops.

So does accuracy. If an assistant tells a prospect something wrong about your offering, you don't get a correction window. You get a prospect who moved on.

Fixing this is unglamorous operational work:

  • Pick one canonical description of each service and use it everywhere, including on platforms you set up years ago and forgot
  • Date-stamp anything that changes — pricing, capabilities, supported integrations, service areas
  • Add structured data (Organization, Product, FAQ, Article) so machines don't have to guess at what a block of text represents
  • Pull product specs, availability, and pricing from your ERP rather than hand-maintaining them on the website

That last point is where AEO stops being a marketing exercise. If your catalog lives in Odoo or another ERP and your website is a separate hand-updated copy, they will diverge. They always do. A real integration between your system of record and your public site is what keeps the public facts true — which is the actual prerequisite for being cited reliably.

Let the Right Crawlers In, On Purpose

Two technical issues quietly block a lot of otherwise good content.

First, robots.txt. Many sites were configured before AI crawlers existed, and some have since blocked them wholesale on the advice of "protect the content." That's a legitimate strategic choice for a publisher selling subscriptions. For a company trying to be discovered by buyers, it's a decision worth making consciously rather than inheriting. Know which agents you allow and why.

Second, rendering. If your key content only appears after JavaScript executes, you're betting that every crawler runs a full browser. Not all do. Server-rendered HTML for your core pages — services, pricing, documentation, FAQs — removes that bet entirely. It also tends to be faster for humans, which never hurts.

Measuring It Without Fooling Yourself

AI referral traffic is hard to track cleanly. Many assistants send users with thin or missing referrer data, and conversational research often ends in a direct visit days later. Rather than chasing a perfect attribution model, watch for directional signals: branded search volume, direct traffic to deep pages that nobody links to, and whether your own spot-checks — asking the major assistants the questions your buyers ask — return your company, a competitor, or something flatly wrong.

Run those spot-checks on a schedule. The answers change, and you want to know before a salesperson hears it from a prospect.

Where to Start

Take the ten questions your sales team answers most often. Give each one a page or a clearly-marked section with the answer in the first two sentences. Make sure the facts match your ERP. Check your robots.txt. That's a week of focused work, and it compounds.

If your public-facing content and your internal systems have drifted apart — or you're not sure which one is telling the truth — that's a conversation worth having. Infraxio builds the integrations and sites that keep those two in sync. Reach out and we'll look at your setup.