When a buyer asks "what is the best workflow automation tool for a mid-market team?", Google's AI Overview, the answer box, and ChatGPT return one direct answer — not ten links. We structure your product's category, pricing, and segment facts so the answer they extract, cite, and read aloud is yours.
Tracked across every major AI platform & voice assistant
AEO for B2B is how a company becomes the single, extractable answer that answer surfaces return — Google's AI Overview, featured snippets and answer boxes, People Also Ask, voice assistants, and the one-sentence direct answers inside ChatGPT and Perplexity — earned through extractable fact blocks, Q&A-formatted pages, structured schema, and fact consistency, all built on truthful, substantiated claims.
Ask Google or a voice assistant "what is the best [category] tool for [segment]" and one extracted answer comes back — not ten links. Either the engine lifts your product's wording, or it lifts someone else's. There is no page two of an answer box.
AI Overviews, featured snippets, People Also Ask, and voice assistants each surface a single extracted answer per question. The vendor whose statement gets lifted takes the whole impression — every other product is simply absent.
"AI-powered, all-in-one, enterprise-grade" describes nearly every vendor in your market — and none of it is extractable. Engines lift specific, verifiable statements; the product whose category, pricing, and segment facts are stated plainly is the one that gets quoted.
A vendor can hold position one and still lose the answer box above it. Extraction rewards different signals — self-contained statements, question-shaped structure, clean schema — and most B2B sites bury those facts in polished prose. That's the gap we close.
We don't hand you a checklist and wish you luck. We engineer the answer layer itself — the fact blocks, page structure, and schema an engine lifts — then prove which questions the product now wins. Four pillars, done for you.
Short, self-contained statements an AI Overview or answer box can lift verbatim — "[Product] is [category] software for [segment], priced per seat" — with no ambiguity left for the engine to resolve.
Structured markup that labels category, pricing model, deployment, and integrations as machine-readable facts — so engines read the product's data directly instead of parsing prose.
The questions champions, executives, and procurement teams actually ask, each answered in one or two sentences and structured so featured snippets and People Also Ask can pull them intact.
Product name, category, pricing, and integrations reconciled across the site, G2, Gartner, and LinkedIn — then answer-box, AI Overview, and assistant capture tracked per question across Google, ChatGPT, Gemini, Perplexity, Copilot, and more.
The method stays ours; the results are yours. We keep the answer-engineering playbook in-house and operate it for you — so your company gets the outcome (being the answer engines extract and cite) without having to become a structured-data shop itself.
AEO for a B2B company isn't a schema plugin and a FAQ page. It's four disciplines working together so that, for every question that matters, there is exactly one clear statement an engine can extract — and every signal says it's safe to display.
We map the real questions in your category — "what is the best [category] tool for [segment]", "how much does [category] software cost", "does [product] integrate with [system]" — including the People Also Ask follow-ups behind each and the way they're phrased aloud to voice assistants. Then we design one concise, self-contained answer per question, written to be lifted whole.
Headings that match the question, the answer in the first sentence, tight definitional statements, and speakable-length claims. Answer engines don't summarize generously — they extract what's already quotable. Product pages, pricing pages, and use-case pages are rebuilt so every key fact stands alone as a passage the engine can hand back word-for-word.
Organization, Product, Service, FAQ, and speakable JSON-LD that state the product's category, pricing-model, deployment, and integration facts as data. Clean markup removes the parsing step entirely — the engine reads the fact instead of inferring it from prose — and in a crowded category, that machine-readable certainty is what pushes extraction confidence over the line.
One canonical set of product facts — name, category, pricing model, integrations, segment fit — matched across the site, G2, Gartner, Crunchbase, LinkedIn, and every profile. Answer engines cross-check a claim before they extract it, and a single contradiction between sources can keep a product out of the answer entirely. Consistency is what makes one confident answer possible.
Search didn't get replaced — it split into three surfaces. A buyer might scan Google's results, read the AI Overview above them, or ask ChatGPT outright — and the extracted answer is the most concentrated of the three: one vendor, one sentence. All three run on the same foundation, so the work compounds.
Classic search engine optimization puts the company in Google's results when someone searches a category, a use case, or the product's name. For AEO it's the eligibility layer: engines extract answers from sources they already trust to rank — no foundation, no extraction.
Answer engine optimization — this page's discipline — makes your wording the one direct answer AI Overviews, featured snippets, People Also Ask, and voice assistants return for a specific question. Won question by question, with extractable statements, structured Q&A, and clean schema.
Generative engine optimization makes the vendor the one ChatGPT, Gemini, and Perplexity name and cite when they recommend products in a category — the broader shortlist-and-comparison layer, earned through the authority, consistency, and corroboration those models trust.
One foundation, three payoffs. The structured facts, use-case content, and earned authority we build compound across all three surfaces at once — which is why we measure and optimize for Google and every AI engine together, not in silos. See how they compare in our GEO vs AEO and GEO vs SEO guides, or explore SEO for B2B and GEO for B2B.
From focused single-product vendors to multi-line platforms — we build answer coverage in the categories and segments where one extracted sentence decides which vendor gets the demo.
AEO decides which of your product's facts become the public, extractable record — so we treat substantiation and claim accuracy as part of the design, not an afterthought. A statement built to be lifted verbatim has to stay true wherever it lands.
Marketing claims are governed by the FTC Act, the FTC Endorsement Guides (16 CFR Part 255), and the FTC's rule banning fake reviews and testimonials. We align to them and defer to your legal team on anything sensitive.
The same honesty that keeps you out of trouble is what gets you extracted. Answer engines verify a statement against reviews, communities, and press before displaying it — so substantiated, consistent, defensible facts aren't just safe, they're the only ones that win the answer box.
A clear path from "which questions do we win today?" to "our wording is the answer," with proof at every step.
We benchmark the target questions for your category and segments — which ones the product already wins as the extracted answer in AI Overviews, featured snippets, and People Also Ask, and which ones competitors or directories own today.
We write the extractable fact blocks, restructure pages into question-shaped answers, ship the Organization, Product, and FAQ schema, and reconcile the product's facts across the site, G2, Gartner, and LinkedIn — done for you.
We re-measure answer capture question by question, report the lift in plain language, and expand to the next set of questions — because each extracted answer strengthens the entity behind the rest.
AEO (Answer Engine Optimization) for B2B is the work of making a company the single, extractable answer that answer surfaces return — Google's AI Overviews, featured snippets and answer boxes, People Also Ask, voice assistants, and the one-sentence direct answers inside ChatGPT and Perplexity. It structures the product's category, pricing-model, and segment facts so an engine can lift one confident statement and attribute it to the company.
SEO earns the company ranked links; AEO wins the single extracted answer that sits above them. A vendor can rank first and still lose the answer box, because extraction rewards different things: self-contained statements, question-shaped structure, clean schema, and unambiguous facts. SEO makes the company eligible; AEO makes its wording the answer the engine actually displays.
GEO makes the vendor recommended and cited across generative engines broadly — the shortlists and comparisons ChatGPT, Gemini, and Perplexity write. AEO is narrower and sharper: winning the extracted direct answer itself — the one sentence an AI Overview, answer box, or voice assistant returns for a specific question. They share a foundation and compound, but AEO is won question by question.
Four moves: state what the product is, who it serves, and how it's priced as short, self-contained fact blocks an engine can lift verbatim; shape pages around the exact questions champions and buying committees ask, with the answer in the first sentence; mark the facts up with Organization, Product, Service, and FAQ schema; and keep every fact identical across the site, G2, Gartner, and LinkedIn so the engine extracts with confidence.
A statement is extractable when an engine can lift it without editing: one or two sentences, self-contained, unambiguous, and verifiable — under a heading that matches the question being asked. Buried facts, hedged prose, and claims that need surrounding context to make sense don't get extracted, no matter how well the page ranks.
The short, direct-answer queries answer surfaces resolve with one extracted statement: 'what is the best [category] tool for [segment]', 'how much does [category] software cost', 'what does [product] do', and 'does [product] integrate with [system]' — plus the People Also Ask follow-ups behind each. We map them per category and segment, then design one concise answer per question.
Yes. Featured snippets and AI Overviews are still where a large share of champion and committee research starts, and the same extractable structure wins both: ChatGPT and Perplexity lift the same concise, well-attributed statements when they answer a question in one sentence. One answer-shaped foundation covers every surface, including voice.
No. Marketing claims are governed by the FTC Act and the FTC Endorsement Guides (16 CFR Part 255), and the FTC's rule banning fake reviews and testimonials prohibits exactly those tactics. Every extractable statement we ship is truthful, substantiated, and consistent with your real product — and answer engines cross-check claims before displaying them, so honesty is also what wins.
Only what the company already discloses publicly: category, use cases, segments served, pricing model, deployment options, integrations, and substantiated recognition. Customer-specific terms, unreleased roadmap, and confidential security details are never published or marked up. AEO doesn't expose more — it makes the facts you've chosen to state public in a form engines can extract accurately, instead of leaving them to be paraphrased.
No — and be cautious of anyone who does. Answer surfaces are dynamic and re-evaluated constantly, so promising a specific placement would be unrealistic. What we commit to is measurable improvement in how often the company's wording is the extracted answer on the questions that matter, with honest before-and-after reporting per question and per surface.
Restructured pages can start capturing featured snippets and People Also Ask placements within weeks of being recrawled. AI Overview presence and assistant answers typically compound over the following months as fact consistency and third-party corroboration build. B2B purchases are high-consideration decisions, so engines take time to gain confidence before extracting.
Per target question: AI Overview presence, featured-snippet and answer-box capture, People Also Ask coverage, and whether ChatGPT, Gemini, and Perplexity return the company's wording as the direct answer. We report it in plain language — which questions the product now wins, which still go to competitors, and what we're fixing next. No vanity metrics, no invented numbers.
Yes — it's often the deciding signal. Answer engines cross-check a claim before extracting it, and a conflicting pricing model, category label, or integration list between the site, G2, Gartner, and LinkedIn drops the engine's confidence below the extraction threshold. One reconciled set of product facts everywhere is what makes a single confident answer possible.
Yes — often faster than for incumbents. Answer engines extract specific, verifiable statements, and a focused early-stage vendor with a sharp position produces exactly that: '[product] is [category] software for [segment]' is far more extractable than an established platform's broad positioning. Category creators even get to define the vocabulary the answers adopt.
Not when it's done honestly. We use substantiated, truthful statements and earned corroboration — never manufactured claims, fake reviews, or schema that says things the page doesn't. Those are exactly the tactics answer engines cross-check and punish; the durable advantage comes from facts that are genuinely consistent and verifiable.
Short, quotable definitions for the terms that come up when companies — and AI assistants — ask how B2B AEO works.
Start with an AI visibility audit. We'll show you exactly which questions AI Overviews, answer boxes, and ChatGPT already answer with your product, which ones they answer with competitors, and what to fix first.