Where buyers ask
A category-specific prompt set, tested across the engines that matter to your customer.
We help established consumer brands earn recommendations in ChatGPT, Perplexity and Google AI—and make their stores legible to shopping agents. Strategy and execution, not another dashboard.
// For D2C teams with real demand and weak AI visibility.
Start with an instant ChatGPT visibility snapshot. It is free, specific to your category and does not require a sales call.
// Step 1 of 3 · we read your site and search the web first
The questions your buyers ask
Untick anything that doesn't fit. Add your own below.
// Press Enter to add. Untick any question above to skip it.
// Step 2 of 3 · we query ChatGPT live with these exact questions
Asking ChatGPT your questions…
// live queries take 20–60 seconds
Your report is ready.
// One report, one relevant follow-up. See our privacy note.
Every recommendation is tied to a prompt, an observed answer and a source your team can inspect.
A category-specific prompt set, tested across the engines that matter to your customer.
Answer captures, cited sources and competitor patterns. Not a screenshot-free dashboard.
A ranked plan split into technical fixes, proof gaps and authority work your team can ship.
Search still matters. But in more buying journeys, a shortlist is formed before a shopper reaches a brand’s website. That shortlist draws on evidence scattered across the open web.
When someone asks an answer engine “what’s the best…”, only a small set of brands tends to be named. The consideration set is compressed before the click.
Familiar brands often benefit from deeper evidence across reviews, press and community discussion. Challengers can compete by making their proof easier to find and reuse.
Shopping agents increasingly research and compare products. Clean catalogs, explicit policies and reliable product data make a brand easier for those systems to evaluate.
Built for D2C and e-commerce brands — beauty, wellness, supplements, consumer electronics — that are winning with customers but losing in AI answers.
We run the real questions your customers ask across ChatGPT, Claude, Perplexity, and Google AI Overviews — with screenshots. You see exactly where you show up, where competitors are cited instead, which sources drive those answers, and why. Findings in plain business language, not jargon.
Hands-on optimization of the signals AI engines actually weigh: reviews and reputation, citations and digital PR, community presence, structural and entity data, and video content. We do the work — collection programs, journalist placement, schema fixes, content engineering — and measure the movement.
Make your store buyable by machines, not just people. Agent-readable product feeds, accurate structured data, machine-parsable policies and specs, and checkout paths AI shopping agents can actually complete. Discovery gets you named; transactability gets you bought.
Monthly tracking of brand mentions, citation share, and answer position across engines — benchmarked against competitors, tied to the work shipped that month. We measure retrieval-based engines first, because that's where new signals land in days, not model-update cycles.
A typical first month
— scoped after the audit
— no fixed playbook
Build a fixed prompt panel around your category, price points, use cases and named competitors.
Resolve high-impact entity, schema and answer-structure issues on properties you control.
Separate work your team can publish from earned proof that requires reviews, community or press.
Re-run the same prompts and show which answers changed, which did not and what shipped between runs.
Answer engines still retrieve pages, but they assemble recommendations from a broader evidence set. We work across five signal groups because no single tactic controls the answer.
| Signal | What we do | Why it moves AI answers |
|---|---|---|
| 1 · Reviews & reputation | Accelerate real, compliant review acquisition on the platforms AI trusts. Fully FTC-compliant — no gating, no incentivized shortcuts. | Review depth and sentiment feed directly into "best X" recommendations. |
| 2 · Citations & digital PR | Earn mentions and quotable placements in publications AI engines cite, via journalist request platforms and data-led pitches. | Verbatim-quotable citations outperform plain mentions in AI retrieval. |
| 3 · Community presence | Authentic, disclosed participation where your category is discussed — especially Reddit. No astroturfing, ever. | Perplexity and search-enabled engines heavily favor community sources. |
| 4 · Structure & entity | Schema markup, entity consistency, crawlable pages, and content architected in self-contained, quotable answer blocks. | If AI can't parse you, AI can't recommend you. Table stakes, often broken. |
| 5 · Video & transcript | YouTube strategy built around useful demonstrations, clear transcripts and pages that connect video proof to product claims. | Video and transcripts can supply demonstrable, reusable evidence for product and how-to queries. |
A wave of well-funded tools now monitors AI visibility. Monitoring is useful — and it's the easy half. The score only changes when someone does the work.
AI visibility is noisy. We use a repeatable prompt panel, preserve the underlying answers and distinguish a useful signal from a convenient story.
The same commercial prompts are run each month, so changes are compared against a stable baseline.
Answer captures and cited sources sit behind the summary. Your team can inspect the evidence, not just trust a score.
We separate visibility, citations and referral traffic. They are related measures—not one fictional funnel.
We show you real findings before you spend anything. Honest timelines: early movement in weeks, compounding authority over months.
Real consumer prompts across four AI engines, citation analysis, community and schema review. Screenshots included.
Findings ranked by impact across the Five Signals, with cost and expected return stated up front.
Schema and entity fixes, quotable answer blocks, review program launch — the signals retrieval engines pick up first.
Citations land, reviews deepen, community presence matures. Monthly reporting ties every gain to work shipped.
Answer Engine Optimization — also called Generative Engine Optimization (GEO) — is the practice of making your brand visible and recommended inside AI-generated answers on ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Where SEO optimizes for a list of links, AEO optimizes for being the answer itself: named, cited, and recommended when a shopper asks an AI what to buy.
They overlap but aren't the same. SEO earns rankings on a results page; AEO earns mentions and citations inside a synthesized answer, drawing on sources SEO mostly ignores — reviews, Reddit threads, press citations, YouTube transcripts, entity data. Good SEO fundamentals still help (AI engines crawl the same web), but they're no longer sufficient. Most of our clients keep their SEO efforts and add AEO on top.
Honestly: it depends on the engine. Retrieval-based systems (Perplexity, search-enabled ChatGPT, AI Overviews) index new content within days, so early movement typically shows inside the first 30 days. Durable gains — citation authority, review depth, community trust — compound over 90 days to 6 months. Anyone promising to "rank you #1 in ChatGPT" in two weeks is selling you something that doesn't exist.
Brand mention rate and answer position across a fixed panel of real consumer prompts, citation share (how often your content is the source behind an answer), and sentiment — benchmarked against named competitors, tracked monthly, and tied to the specific work shipped. We measure retrieval-based engines first because they respond to new signals in days; base-model updates are infrequent and outside anyone's control, so we don't sell them as a KPI.
No. Fake and AI-generated reviews are explicitly illegal under the FTC's Consumer Review Rule, and astroturfed community posts get brands banned and blacklisted. Everything AgenQuest does is white-hat: accelerating real review acquisition, earning real press citations, disclosed community participation, and technical work on your own properties. The durable advantage comes from legitimate signals — which is exactly why they're worth building.
The audit is free — genuinely, with no obligation. Ongoing engagements are monthly retainers scoped to the levers your audit says will move the needle, with cost and expected return stated before you commit. We'd rather show you findings first and let the work make the case.
Agentic commerce is shopping done by AI agents on a customer's behalf — researching, comparing, and increasingly completing purchases end to end. It demands that your store be transactable by machines: clean product feeds, accurate structured data, machine-readable policies, and checkout paths an agent can complete. Adoption is early but moving fast, and the brands that are agent-ready first inherit the same advantage early SEO adopters had. Discovery work (AEO) and transactability work compound — we build both.