Pipeline Simple vs Profound

Pick Pipeline Simple if you run a B2B company, a D2C brand, or a Shopify store and have to show what AI visibility does for revenue. The GEO agent asks your buyers' questions on eight engines every week, several times each, and reports every number with a likely range, so a lucky answer never passes for progress. It traces wrong claims to the pages engines learned them from, drafts the fix, and only calls it done when the engines stop repeating the claim. When a buyer arrives from an AI answer, the lead lands in the same pipeline as the work of every other agent.

Profound covers much of the same ground under its own names: Answer Engine Insights for visibility and citations, FactCheck for wrong claims, Context Manager for brand records, and the AI Marketer for the work that follows. The sections below take those jobs one at a time and show how Pipeline Simple handles each, so you can hold the two side by side in a demo.

A note on sources. Pipeline Simple details describe the product as it works today. Profound details come from its homepage and pricing page, checked on October 12, 2026, and use Profound's own feature names. Our comparison pages guide says a row that turns false gets fixed, so if something here has changed, tell us and we will update it.

Measurement starts with the prompts. The agent drafts the questions your buyers ask from your brief and the interviews the research agent collects, and you edit and approve them. Only approved prompts are asked, so the set stays fixed and a trend means something. Each one runs on ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, Google AI Mode, and Microsoft Copilot, in any of 15 countries and 9 languages, with the model version behind every answer recorded. Copilot has no public API, so it is measured with Microsoft's official Grounding with Bing Search and labeled Copilot (Bing proxy) in every report.

Profound reports a visibility score by platform. Pipeline Simple reports mention rate, position, share of voice, and sentiment by engine and by prompt, and every number carries a likely range. Each prompt is asked five times by default, and up to ten, because the same question can get a different answer on the next ask. The range is a 95% interval that accounts for answers to one prompt moving together. Alerts fire only on moves beyond the usual swing, and a separate flag tells you when an engine has updated its model and many prompts shifted at once. Your board sees "31% of answers, likely 24 to 38%," and knows that a dip inside that band is not news.

Each answer is read for what it says, not only for whether you appear. You see the brands named instead of you, the sources cited, counted by domain, source type, and engine, and the searches the engines ran to build the answer, where they report them. You also see the themes engines attach to you: the qualities they credit you with and the objections they raise. The measurement guide explains how to report all of this without fooling yourself.

Profound's FactCheck traces claims to publishers, drafts personalized corrections, and tracks which publishers updated. In Pipeline Simple, the truth is a facts file you approve: your prices, shipping and returns, hours, locations, compliance claims, and the other facts engines must get right, kept with its history and exportable as JSON. Every answer is checked against it. A wrong fact, an outdated one, wrong positioning, a mix-up with a similarly named company, or being left out becomes an issue with a severity, the exact quote, and the engines that said it, confirmed with a second pass before it reaches you.

Then the agent traces the claim. It reads the citations on the answer, searches the web and the news for the claim's wording, and checks Wikidata. It ranks the pages it finds by how closely a passage states the claim, how many engines cite them, and what kind of site they are. Fixes follow the order of control: exact before-and-after text for your own pages, updates for the profiles you control, and short, sourced correction requests to publishers that say who is asking. Contact limits keep it polite, with one open request per domain and three per domain every 90 days by default.

The test of done is the answer itself. Once a fix is published or sent, the agent re-asks the prompts behind it on the engines that made the claim, and two clean checks in a row mark it verified. If the claim comes back, the fix reopens and you get an alert. A publisher updating a page is progress. An engine that stops repeating the claim is the result. The citation guide walks through the loop step by step.

Profound pitches its AI Marketer as an agent that finds the work worth doing, drafts it, and asks for approval. Every Pipeline Simple scan ends with a plan of up to eight actions, ranked by impact and sorted into three groups: site work, such as crawler access and wrong facts; owned work, on the pages and channels you control; and earned work, on the third-party sites the engines already cite. Each action says why it matters, lists the steps, and names the pages it targets. Earned actions use the play that fits each site, so you are never told to ask for reviews on a site that does not host them.

The drafts come with the plan. The agent writes answer-first pages for the prompts you want to win, a facts page engines can quote, and structured data built straight from your approved facts, so the markup and the page say the same thing. Every draft is checked before anyone can approve it, and a draft that hides content from readers, speaks to AI engines instead of people, or promises a ranking cannot be approved. The answer-first guide shows the shape of the page.

Crawler access is part of the plan too. The agent reads your robots rules for 38 AI bots, checks noindex and snippet limits, JavaScript-only text, and llms.txt, and watches the pages engines cite each week for changes, moves, and new blocks. It fetches pages as PipelineSimpleBot, which identifies itself and follows robots.txt and site terms. The technical SEO guide covers why these checks still decide whether AI can find you.

Engines lean on reviews and community threads, so the agent works on both, in the open. Review requests go to every consenting customer, not only the happy ones, on the platforms that allow them, and any incentive is disclosed where the platform permits one. A request that only asks satisfied customers, or asks for a good rating, is blocked before you see it.

The agent also finds the threads engines cite for your prompts, plus discussions on Stack Exchange, GitHub, Reddit, Hacker News, and community forums, and drafts helpful replies that say who you are. You post them from your own account. A clear line saying you work at the company is what makes a reply useful rather than suspicious, to readers and moderators alike.

Where earned coverage is slow, done-for-you plans add placements. A specialist buys clearly labeled sponsored placements on the publishers engines cite for your prompts, within a budget you approve and billed at cost, and every placement is judged by the weekly retest. Engines cite pages, not invoices, so a placement that does not move the answers gets dropped.

Visibility is the start of the story your CFO wants to hear. A light tracking snippet and a signed webhook tag the visits and leads that ChatGPT, Perplexity, Gemini, and seven other assistants send you. Those leads land in the pipeline every Pipeline Simple agent writes to, with booking links and unlimited teammates, and move through your stages to a won deal, with a CSV export for HubSpot or Salesforce. The weekly report puts AI visits, AI leads, and won deals next to the visibility numbers, so a rise in share of voice and a rise in AI-sourced pipeline sit on the same page. For a D2C brand or a Shopify store, the same snippet shows which assistants send shoppers to which product pages.

GEO also sits inside a full go-to-market team. The research agent turns interviews into the brief that seeds your prompts. The SEO agent handles technical audits, revenue keyword pages, and link outreach, and those pages become sources engines cite. The influencer agent finds creators and negotiates partnerships, the outbound agent runs email and LinkedIn sequences, and the website agent and AI receptionist answer the buyers AI sends you by chat, voice, video, phone, and text, then book the meeting.

For a small team, that is the practical difference. One brief feeds every agent, one pipeline records every lead, and one report shows AI-sourced leads by engine next to the prompts and fixes that moved. Nobody has to stitch a visibility tool to a CRM, a content team, and an agency to learn whether GEO paid for itself.

Nothing is published, sent, posted, or paid for without a person approving it. Approval rules decide who signs off, the agent drafts while you send from your own mailbox, and every step lands in an audit log. The agent never uses hidden text, cloaking, or instructions aimed at AI engines, and it never writes fake reviews or posts as anyone else.

Costs are visible before they happen. Each scan is estimated before it runs, spend is tracked per engine, and a budget cap per scan stops one that would run over. Weekly reruns do not count against your monthly scans, and daily tracking is available on request when a launch or a crisis calls for it.

Data is kept on purpose. Raw answers are stored for 30 to 365 days, as you choose, and you can delete them at any time, while the scores, sources, and quotes behind issues stay. Scans export to CSV, the facts file exports to JSON, and a PDF report lands in your inbox every Tuesday.

Pipeline Simple publishes every price. Start on the Free plan with no card. Starter is $99 a month and runs the GEO agent on 15 buyer prompts, rerun weekly, plus four scans on demand, alongside the other agents. Pro is $299 a month. Every plan asks prompts you write and approve, and self-serve plans run month to month with unlimited teammates.

If you would rather have the program run for you, the done-for-you GEO agent starts at $3,500 a month. A specialist certified on our agents runs it with you, including placement outreach, and you pay us the plan price with no separate bill. Sponsored placements you approve are billed at cost. Done-for-you plans start with a three-month term and then run month to month, and all seven agents run together for $15,000 a month.

For comparison, Profound's pricing page, checked on October 12, 2026, lists a free seven-day trial that runs 50 preset prompts on ChatGPT, Gemini, and Google AI Overviews, a self-serve plan for agencies, and custom Enterprise pricing, with agents that run on credits. If you need a number for a budget request this week, ours is on the pricing page.

Pipeline Simple fits a B2B company that hears buyers say an AI assistant built their shortlist and has to show what that does for pipeline. It fits a D2C brand or a Shopify store whose shoppers ask AI what to buy, and that needs its prices, shipping, and returns described correctly. It fits teams that want honest ranges instead of a single score, accuracy treated as the first metric in categories such as fintech, and a person approving every outside action.

It also fits teams that do not want another tool to staff. Run the agents yourself on a self-serve plan, or hand them to a certified specialist on a done-for-you plan and keep the workspace, brief, and results if the specialist changes. Either way, the first scan becomes the baseline every later week is measured against.

The fastest way to compare is to run your own prompts. Bring five questions from recent lost deals or shopper emails, and the facts you most need engines to get right. We will run them live on every engine, show where you appear with likely ranges, and name the first page that should change.