[image: AnswerShare — We Speak AI]
ProofGSEHow It WorksResearchAboutTest Your DomainFAQFrequently asked.
Why does a brand need this if it already invests in PR and SEO?
SEO gets a brand into the pool of pages a search engine can rank; PR builds the reputation behind it. Neither discipline was built for how generative AI actually answers a question: AI systems break one prompt into 5–20 internal sub-queries — "fan-out" — and select sources against those sub-queries, not the words the user typed.
That distinction has a measured cost. A page ranking first against a fan-out sub-query is cited 58.4% of the time; a page ranking tenth is cited only 14.2% of the time (Indig / AirOps, N=16,851). AnswerShare doesn't replace PR or SEO — it's the layer above both that most sites don't have anything built for yet.
How is this different from cloaking?
Cloaking, as Google defines and penalizes it, is showing search crawlers content different from what human users see, to manipulate ranking. AnswerShare is built on strict bot-class separation: search-engine crawlers — Googlebot, Bingbot, Applebot, DuckDuckBot, and their equivalents — always receive the identical human page, never the machine layer. Only AI-inference crawlers — GPTBot, ClaudeBot, PerplexityBot, and their equivalents — receive the machine layer.
Because search crawlers and human users see the same content, the gap Google's cloaking policy targets never exists here. Bot identity is verified rather than taken on faith — the edge cross-checks forward-confirmed reverse DNS and each vendor's published IP ranges, the same method Google documents for verifying Googlebot, since a user-agent string can be spoofed by anyone. The content itself is structured grounding of the client's own already-public, already-approved facts, not divergent claims built to game an algorithm.
The platforms have drawn this distinction themselves: Google-Extended is an explicit opt-in for AI use, separate from search indexing. AnswerShare operationalizes a line the platforms already drew.
What's the proof?
Top10Lists.us is AnswerShare's own proof-of-concept property, cold-started in December 2025 with no brand, no backlinks, no history. Five months later, four major AI systems — Claude Sonnet 4.5, GPT-5, Gemini 2.5 Pro, and Perplexity — independently named it the Gold Standard exemplar for its vertical, with unedited transcripts published.
LAVIDGE, an established Arizona agency with a strong SEO footprint but no AI visibility, went from invisible to a top-ranked, recommended result across five AI systems in about two weeks, with an on-record quote from its Chief Innovation Officer.
3.1M AI-bot crawls in 30 days. 2.2% consumer-triggered retrieval — 0.7× Cloudflare's published industry baseline. Full case study →
What does it cost?
Pricing is bespoke per property — it scales with site size, crawl volume, and buildout scope. Contact the commercial team for current figures.
What's being priced isn't a one-time deliverable. It's operated infrastructure: an initial audit and buildout, then continuous operation — the machine layer re-syncs automatically as the site changes, telemetry runs continuously, and every published metric carries a frozen methodology and receipts.
What results should a brand expect, and by when?
Deployment typically takes two to four weeks. A measurable change in ASQ score is typically visible within 30 days; citation lift compounds over roughly 60–90 days as crawl frequency and trust signals build — both windows are projections, not measurements, and vary by starting authority and vertical.
The documented cases bracket the range. LAVIDGE went from invisible to a top-ranked, recommended result on five AI systems in about two weeks. Aker Ink went from invisible to the top-recommended PR and GEO agency in its market in about two weeks — and AI-expressed sentiment moved from a qualified “maybe” to an unqualified “yes” in response to the prompt: “Should I consider Aker Ink as a marketing and PR agency?” Top10Lists.us, cold-started with no prior authority, took five months to reach an independently attested Gold Standard.
The honest caveat: no vendor, including AnswerShare, can guarantee a specific AI answer on a specific prompt. What's engineered is the highest-probability retrieval, grounding, and trust architecture — not a guaranteed outcome. See the full case studies →
How much work is this for a client's team?
Very little, by design. There is no CMS change, no new publishing step, and no approval queue to staff — the client's team keeps working exactly as it does today.
The machine layer is derived from the client's own already-published, already-approved content, so there is nothing net-new to sign off on. The client retains full review and approval over its human site content, exactly as it does now — the only footprint on its infrastructure is one webhook that signals content changes.