That box above isn't a stylistic quirk. It's the technique: a self-contained, liftable answer at the top of the page, because that's what engines extract. This post practices everything it recommends, so you can judge the advice by the artifact.

1. Let the crawlers in

Unglamorous and first: check that GPTBot, ClaudeBot, PerplexityBot, and Google-Extended aren't blocked in your robots.txt or by your CDN's bot rules. We find blocked AI crawlers on a meaningful share of first audits — often a security plugin's default nobody chose on purpose. An engine that can't read you can still mention you from third-party sources, but you've surrendered your own voice in the answer.

2. Write claims an answer can lift whole

Engines synthesize answers from extractable units: a direct claim, a number, a comparison, a definition. Content built for the old game — six paragraphs of scene-setting before the point — gets skipped in favor of a competitor's pricing table. The practical rules:

• Answer first, elaborate second. The direct answer in the first 60 words; nuance after.
• Real numbers, real names. "Implementations run $40–80K over 12–16 weeks" is quotable. "Affordable and fast" is not.
• Publish the pages buyers' questions imply. Pricing, honest comparisons against named alternatives, and "who this is not for" content. Engines answering "X vs Y" cite pages that actually compare X and Y.

3. Become one unambiguous entity

Models resolve brands as entities, not URLs. If your name, description, and category read differently across your site, LinkedIn, review profiles, and directories, the signal fragments. Consistent naming, an Organization schema block with sameAs links, and third-party corroboration — the boring registry work — is what lets a model say your name with confidence.

4. Get into the sources the engines already trust

The highest-leverage finding from our source-of-truth mapping: in most B2B categories, the client's own website is a minority contributor to the answers. Engines lean on review platforms, comparison articles, community threads, and a short list of trade publications. Which means the work that moves consensus sets is mostly off your site: earning legitimate reviews, being present where your category is genuinely discussed, and getting into the comparison articles engines quote. This is digital PR with a new scoreboard — and it's the slowest, most compounding layer.

5. Measure mentions, not just links

Only a small fraction of AI answers carry visible source links — Similarweb tracked ChatGPT answers with citations growing from 0.6% to 2.8% across 2025. [1] Most of your exposure is unlinked brand mentions. If you only track linked citations you'll conclude nothing is working long after it started working. Track both, separately.

6. Hold the ruler still

Engines are non-deterministic: the same prompt returns different answers run to run. One-off checks are noise with a dashboard. Whatever prompt set you build, run it multiple times, then re-run the identical set on a schedule. Trend beats snapshot, every time.

The thing that doesn't work

Publishing AI-generated articles at industrial scale to "flood the index." It's the most commonly sold GEO tactic and the one with the worst risk profile — thin scaled content is exactly what search spam policies target, and vendors selling 30 autopilot articles a month are renting you a liability. [2] Volume didn't beat authority in the old game either; it definitely doesn't when a model is choosing three sources.

The disclosure

Most of the list above is recognizable as strong SEO and digital PR — because roughly 80% of AI visibility is strong SEO, a proportion industry veterans state plainly. [3] The genuinely new 20% is the measurement layer and the answer-extraction layer. Any vendor who won't tell you that is charging you twice for work you may already be doing. Timeline expectations belong in the disclosure too: engines re-crawl and retrain slowly, so plan on 90–180 days before the scoreboard moves.