Get your business found in AI search: find the buyer prompts, fix your entity across the web, earn third-party mentions, then track your share of voice.
Last verified · 2026-08-19 · by Moe Ameen
A growing share of buyers no longer start with a list of ten blue links — they ask ChatGPT, Perplexity, Gemini, or Google's AI Mode a buying question ("who's the best X for Y", "what are the alternatives to Z", "who does this near me") and act on the two or three names the engine hands back. If your business is one of those names, you win the consideration set before a competitor is ever seen. If it is not, no amount of ranking on page two matters, because the reader never scrolls a list — they read an answer.
Getting found is a content-marketing job, not a technical one. AI engines assemble a recommendation by cross-referencing what your own site says with what the rest of the web says about you — reviews, directories, forums, roundups, and third-party mentions — and they favor the business that shows up consistently, credibly, and recently across all of it. This guide is the practical workflow: pin down the exact buyer prompts you want to win, measure where you stand today, make your business easy for an engine to identify and trust, publish the content that earns a recommendation, seed the outside proof engines lean on, and track your share of the answer over time.
Being recommended is a share-of-voice contest, and share of voice is won by the option an engine sees corroborated the most — the same true claim about your business showing up, consistently, across the widest spread of surfaces it grounds on. That is a production problem: winning ten buyer prompts means dozens of on-message pieces answering them, on more channels than one person can keep fed by hand, refreshed often enough that live retrieval keeps counting you. Kompozy is the engine built to hold that cadence. Give it one buyer question you want to own — say, "best [your category] for [use case]" — and from your [Persona Brief](/glossary/persona-brief) it produces the coordinated set that answers it: a [Blog Article](/glossary/output-buckets) that lays out the comparison in extractable, front-loaded form, Carousel Posts and Quote Graphics that restate your load-bearing differentiators as discrete liftable claims, Text Posts tuned per network, and a [Persona Short](/glossary/persona-shorts) where your named expert makes the case on camera — every asset carrying identical facts and positioning, which is precisely the consistency that lets a model name you instead of hedging. [Autopilot](/glossary/autopilot) then schedules and fans that set across the eight social platforms plus blog and email behind a per-post review gate, so one answer lands on many independent, owned surfaces at a rhythm competitors cannot match manually — and the recurring cadence is the point, because a queue that keeps shipping consistent content is what defends a share of voice once you have earned it. Be clear on the limit: Kompozy publishes the brand posts you control — across the eight social platforms plus blog and email, and to Reddit as a Direct Connect destination — but it does not earn you reviews or carry the human back-and-forth in the forum and Reddit threads buyers actually read, so pair it with the off-platform reviews-and-mentions work in step 5; the engine covers the owned half of the corroboration an AI recommendation is built on. Starter ($99/mo, 5,500 credits) fits a solo operator planting a flag on a handful of buyer prompts; Pro ($299/mo, 18,000 credits) suits a brand contesting an entire category across every channel; Enterprise is custom for agencies running AI discovery for multiple clients.
Make your business easy to identify (consistent name, category, and positioning everywhere, plus schema markup), let the answer crawlers reach you in robots.txt, publish comparison and use-case pages that answer real buying questions in liftable form, and earn genuine reviews and third-party mentions on the sources those engines already cite for your category. Then test your buyer prompts directly and improve wherever a competitor is named instead of you.
It is the percentage of AI answers, across a defined set of category questions, that mention or recommend your business relative to your competitors. Absolute visibility asks "do I show up at all"; share of voice asks "am I winning the category," which is the more useful number for business discovery. You measure it by running a fixed prompt list through each engine on a schedule and tracking your share of the recommendations over time.
Yes — heavily. AI assistants cross-reference your business across your site, Google Business Profile, review sites, and directories, and they lean on that outside consensus when deciding who to name. Genuine reviews and accurate, consistent listings are among the strongest signals; contradictions between surfaces reduce how often you get recommended.
It overlaps with local SEO — accurate listings, reviews, and a clean Google Business Profile matter to both — but getting found in AI search adds the work of being extracted and named inside a synthesized answer: self-contained content that answers buyer prompts, consistent cross-source messaging, and third-party corroboration. A business can have solid local SEO and still never be named by an AI assistant, which is why you measure the recommendation itself.
Because most AI answers use live retrieval, fixes an engine can re-crawl — consistent listings, a well-structured comparison page, a fresh batch of reviews — can start moving your recommendations within days to weeks. Building the durable third-party footprint and share of voice that hold up over time takes longer, on the order of months of consistent publishing and outreach.