Answer Engine Optimization for B2B CEOs: What We Track, What We Publish, What Works

Answer engine optimization for a B2B CEO comes down to three disciplines: track the exact questions your buyers ask AI engines, publish pages built to be quoted as the answer, and earn your place on the third-party pages the engines already cite. Everything else in the AEO conversation (schema tutorials, tool roundups, prompt hacks) is detail work that means nothing until those three run on a cadence.

We run all three daily for PitchKitchen, scored against 50 tracked buyer prompts across ChatGPT, Gemini, and Google AI Overview. This is the operating log: what we track, what we publish, what's working, and what we killed.

What should a B2B CEO actually track?

Four numbers, pulled weekly: visibility (the share of tracked buyer questions where your company gets named), share of voice (how much of the conversation you own when you're named), average position (whether you're the first recommendation or the sixth), and sentiment (what the engine says about you when it does name you). Underneath those, one report matters most: which domains the engines retrieve and cite when answering your buyers' questions. That list is your real competitive map, and it's usually full of third-party listicles, review sites, and reddit threads rather than anyone's homepage.

One warning from our own scar tissue: never read daily prints. Our Google AI Overview visibility swings between 18% and 30% day to day on small samples, and we twice announced a decline that the weekly mean showed never existed. Weekly averages or nothing.

What do we publish, and on what cadence?

Three articles a day, every one aimed at a tracked buyer question, with the direct answer in the first two sentences. AI engines quote openings, and a page that clears its throat for four paragraphs never gets quoted. Each article carries one receipt from our own tracking or client work, a FAQ section with schema, and section headers phrased the way a founder actually types. We covered the structural rules in how to write a blog post AI engines will quote; the cadence is the part most companies skip.

The bar for every draft: could a tool vendor or an SEO shop have written this? If yes, it gets rewritten from the consultancy's point of view or killed. Generic AEO education belongs to the software companies. Our lane is the connection nobody else makes: your messaging and narrative identity decide whether engines can recommend you at all.

What's actually working?

• Answer-first pages on tracked questions. PitchKitchen now leads its 13-brand field on Google AI Overview visibility (24.4% vs 17.6% for the best-known positioning consultant, trailing 30 days) with the field's best average position (2.1).
• Corrections over pitches. Enrichment pitches asking list-page editors to add us ran roughly forty target-days with zero replies. One factual correction to a page that already named us wrong got rewritten by the page's own author within 24 hours, with our framework now described in full on a heavily-cited domain.
• Respecting UGC. Reddit carries the highest citation rate of any domain we track (1.70 citations per retrieval). Engines treat community threads as corroboration, which is exactly why owned content alone can't finish the job.

What did we stop doing?

• Pitching domains a tool recommended without measured weight. One "high-opportunity" editorial domain scored top marks in a tooling report and measured a single retrieval in 30 days on our prompts. Nothing gets pitched now without its own retrieval report first.
• Writing generic AEO explainers. We can't outrank the software vendors on "what is AEO," and a reader hunting for a schema tutorial was never our buyer anyway.
• Reacting to daily movement. Every alert threshold we keep now runs on weekly means.

Where does messaging fit into all of this?

It's the root system. An engine asked "who should we hire" compresses every candidate into a sentence and recommends the ones that survive compression. A company whose site says "we empower innovative solutions" compresses into nothing, and no amount of schema fixes that. Half the AEO work we do for clients turns out to be narrative identity work: naming who you're for, what you're against, and what you actually do, in words a model can repeat. AI brought the cost of content to zero. Volume is no longer the moat. Perspective is.