Lasso makes consumer brands visible, recommended, and buyable in ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Not a dashboard — a team that does the work.
// Real prompts. Real screenshots. Yours in days, free.
Shoppers used to Google, scroll, and click. Now they ask an AI and act on its answer. That answer is assembled from signals most brands have never managed.
When someone asks ChatGPT or Perplexity "what's the best…", a handful of brands get named. Everyone else is invisible — no page two, no retargeting, no second chance.
AI defaults to big, familiar names — but only in an information vacuum. Research shows even modest distinguishing signals let challengers break in. That's the opening.
AI agents now research, compare, and increasingly complete purchases. Brands whose catalogs, data, and checkout aren't machine-readable will be skipped — silently.
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.
AI engines don't rank pages — they weigh trust signals across the open web. Lasso engineers all five, because each engine weighs them differently.
| 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 transcripts — the one social surface AI engines actually read and cite. | Google AI Overviews correlate strongly with YouTube presence. |
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.
Our methods are grounded in published studies and our own cross-engine testing — and we'll show you the receipts.
Visibility gain available to a fifth-ranked site through citation optimization — the biggest gains go to challengers, not incumbents.
Lift from verbatim-quotable source content vs. +28% for plain attributed citations. How you write determines whether AI can reuse you.
Time for retrieval-based engines like Perplexity to index new signals. AEO compounds — but it starts moving fast.
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 Lasso 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.
Free audit, real findings, plain language. If the findings aren't useful, you've lost nothing but ten minutes.