DEV Community: Digital Horizon

What RiseMore is, what it costs, and what it does not promise

Digital Horizon — Sun, 01 Nov 2026 15:54:03 +0000

RiseMore is your AI marketer for SEO, GEO, Reddit and Social. It is for founders and lean teams with a product to sell who need help reaching customers. It learns the product, finds relevant opportunities, writes content and carries approved work through to publication. You approve what goes live.

This description follows RiseMore's current Product Context and official pages, checked on 28 October 2026. The pricing page lists Free, Pro and Growth at $0, $20 and $60 per month. GEO and Reddit require Growth, and publication on your behalf has a separate fee. These are product capabilities and vendor terms, not customer-results claims.

What happens after you enter your product URL

Setup starts from the website that explains your product. RiseMore researches it, finds source material, selects a first topic and saves an X draft with an image. The research becomes reusable Product Context covering the product, audience and positioning.

You do not need to confirm product details, select a topic or connect a publishing account for this initial setup to finish. You can inspect progress while it runs. The SEO, GEO and Reddit previews show other possible directions; they are not completed paid discovery runs or published work.

The first draft is ready for review, not approved. Check its facts and image, correct Product Knowledge where needed, and connect the appropriate account when you want to publish. Keeping setup automatic does not remove publication approval.

Four agents, with different publication paths

Social Agent drafts posts and images for X and LinkedIn from product context, source material and channel preferences. Approval places a post in a channel slot. An active connected account can publish it when due; with a manual channel, you publish it yourself and record the result.
SEO Agent researches keywords, proposes topics, and generates an article with a cover. You review it and schedule publication through your WordPress site connection. It requires Pro or Growth for execution; Free can inspect existing keyword data. Automatic search-ranking tracking is not currently available in the Console.
GEO Agent researches buyer questions, prepares briefs and generates articles. You can write the article before choosing a publication destination. At publication, confirm the content and an available destination, including that destination's requirements and any fee. GEO also monitors captured answers from ChatGPT, Gemini and Perplexity. It requires Growth.
Reddit Agent finds community and thread opportunities with supporting reasons. A community opportunity can become a standalone post; a thread opportunity becomes a top-level comment replying to the original post, with existing replies used as research. You confirm the content and target before RiseMore publishes on your behalf. It requires Growth and remains subject to Reddit and community rules.

Competitor Radar is separate research: recurring, source-backed reports on competitor launches, product updates, pricing, positioning and content. It does not write or publish a response, and it is not a real-time alert service.

Review and publication are separate from writing

The distinction matters when a draft looks finished. Connecting an account does not approve its content. Recording a manually published URL does not send content anywhere. A scheduled or submitted state is not itself proof of delivery: open the returned public URL and check the article or post.

For SEO, that destination is your connected site. For Social, it is your own connected X or LinkedIn account. For GEO and Reddit, RiseMore can publish on your behalf to the destination you approve. The review and publication guide explains the checks and recovery steps.

Reddit participation also depends on the target community's current rules. Discovering a relevant discussion does not mean a promotional reply is appropriate, and paying for publication does not override moderation.

What it costs

The current monthly plans are:

Plan	Monthly price	Monthly credits	Products	Channels per product	Agent access
Free	$0	1,000	1	2	Product setup and Social
Pro	$20	20,000	3	10	Adds SEO and Competitor Radar
Growth	$60	60,000	5	10	Adds GEO and Reddit

New Free registrations receive 3,000 credits in their first credit period; subsequent Free periods receive 1,000. Annual Pro is $200 and annual Growth is $600, with credit allowances still renewing monthly. Check Pricing & Credits and the offer shown at checkout for current terms.

Credits cover research, search, writing, monitoring and images. Different tasks use different amounts, so credits are not a fixed post allowance. Where overage is enabled, the published rate is $1 per 1,000 credits.

Publication on your behalf is billed separately from the subscription and AI credits: $5 per GEO/blog article, $20 per Reddit post and $10 per Reddit comment. You review the fee before confirming. Publishing to your own connected site or social accounts, or publishing the work yourself, has no separate publication fee.

Optional access from an IDE or terminal

The optional risemore MCP server exposes saved product research, materials, posts, channels, SEO keywords, Reddit discussions and competitors to supported clients such as Codex, Cursor and Claude Code. Its publish_now tool can send an already approved scheduled Social post.

The Console remains the main workflow for setup, agent runs, editing and approval. GEO monitoring has no MCP tool. The integration provides another way to access saved work; it does not move the complete marketing workflow into an editor.

What the product does not promise

An AI mention is not necessarily a recommendation. A citation is not a visit. AI visibility describes analyzed observations for the prompts, engines and period selected, not all AI searches or your sales.

Publishing an SEO article does not guarantee indexing or a ranking. Use your site's search and analytics tools to assess those outcomes; current Console documentation does not offer automatic search-ranking tracking.

A completed draft still needs factual and editorial review. Shared Product Context helps carry what RiseMore knows between tasks, but it needs correcting when the product changes. Customer interviews and your own understanding of the market remain useful inputs.

The showcase demonstrates product outputs. It should not be read as proof that another customer acquired users or revenue. Judge the first run by the research, the saved draft, the edit work it needs and the publication path available for the work you want to do.

How to decide whether it fits

Start with the task that is currently stalling: finding an opportunity, choosing a useful angle, writing an accurate draft, or getting approved work published. Free lets you inspect initial research and Social output; Pro adds SEO and Competitor Radar; Growth adds GEO and Reddit.

A focused writer or scheduler may be enough if you already supply the topics and manage distribution. RiseMore is worth evaluating when you want those steps connected through shared product knowledge and inspectable work. The evaluation is whether it helps you produce and publish something useful for your buyers—not whether a plan promises a number of customers.

How to Audit AI Startup Research: A Logic-First Guide

Digital Horizon — Wed, 23 Sep 2026 08:27:34 +0000

Founders often fall into the "Vibe Check" trap. You run a prompt through a standard LLM, and it spits out a polished, three-page analysis of your market segment. It sounds authoritative. It uses the right jargon. It even makes a few bold predictions that align with your gut feeling.

The problem is that confidence does not equal accuracy. AI models are trained to be helpful and conversational, which often leads to a "Confidence-Accuracy Paradox": the more certain the AI sounds, the more likely it is to smooth over data gaps with generic sentiment. For a startup founder making a high-stakes pivot or an investor performing due diligence, a "vibe check" is a liability, not a resource.

To move beyond generic summaries, you need a framework for Inspectable Research Logic. This is a methodology where the path from raw evidence to final conclusion is transparent and verifiable. It shifts the AI’s role from a "magic box" that gives answers to a research partner that provides a structured, auditable trail.

Step 1: Separating Sourced Facts from AI Hallucinations

The first step in any audit is identifying the bedrock: the Sourced Fact. In business research, a fact isn't just something that sounds true; it is a data point with a direct, verifiable link to a primary source. This includes SEC filings, verified pitch decks, government labor statistics, or confirmed news reports.

How do you verify the integrity of business data within an AI-generated report? High-quality verification requires direct cross-referencing between a claim and its primary source, such as an SEC filing or a verified pitch deck, rather than relying on the AI’s summary. By manually or through specialized tools checking the "Sourced Fact" label against the original document, you eliminate the risk of hallucinations—where an AI might invent a funding round or misquote a revenue figure—and ensure the foundation of your strategy is built on market reality.

In the RoastIdea workflow, this is handled through automated labeling. When the system identifies a claim backed by a specific document in its knowledge base, it applies the Sourced Fact tag. This allows you to skip the "Is this real?" phase and go straight to the "What does this mean?" phase.

Step 2: Identifying Supported Inferences and Logical Leaps

Most of a business report isn't just facts; it’s the "connective tissue" between those facts. This is where AI often gets into trouble. There is a massive difference between a Supported Inference and a Logical Leap.

Supported Inference: "Competitor X is likely to pivot toward enterprise sales because they recently hired three VPs of Sales from Salesforce and their latest API update focuses on SOC2 compliance." This is a logical conclusion built on multiple verifiable facts. Logical Leap: "Competitor X will dominate the market because they have a high-energy brand." This is a guess disguised as analysis.

RoastIdea distinguishes these by using the Supported Inference tag. When you see this label, you are being told: "The AI is making a judgment call here, but here are the three facts it used to get there."

Auditing these inferences is where the founder’s expertise comes in. You should look for the "inference chain." If the AI suggests a market trend, ask which Sourced Facts support it. If the chain is thin, you’ve identified a weak point in the strategy that needs more manual digging.

Step 3: Finding the 'Known Unknowns' with Missing Evidence

A standard AI report focuses on what it found. A high-quality audit focuses on what is missing. The most dangerous part of startup research isn't what you know or even what you think you know—it's the critical information gaps you haven't noticed yet.

Why is identifying missing evidence often more valuable than confirming existing data in startup research? Finding gaps—such as ignored cost structures, specific regulatory hurdles, or missing churn data—prevents "survivorship bias" in analysis, forcing founders to confront the "known unknowns" that typically sink early-stage ventures. By explicitly flagging these omissions as "Missing Evidence," a research tool shifts the focus from a passive reading of what exists to an active investigation of the risks that could realistically derail a business model.

RoastIdea handles this by looking for what should be there. If you are researching a hardware startup but there is no mention of supply chain logistics or BOM (Bill of Materials) costs, the tool applies a Missing Evidence flag. This turns the report into a collaborative to-do list. Instead of taking the AI’s word as gospel, you use the gaps to direct your next round of manual research or founder interviews.

From Audit to Action: The Decision-Ready Checklist

The goal of auditing AI research is to reach a "Go/No-Go" decision with actual confidence. You shouldn't make a pivot because an AI said it’s a good idea; you should make it because the data survived the audit.

Before you act on any AI-generated business report, run it through this 5-point checklist:

Confirm Source Authority: Are the "Sourced Facts" coming from primary data (filings, direct quotes) or secondary opinions (blog posts, general AI knowledge)?
Validate Logic Chains: Pick the three most important conclusions in the report. Can you trace them back to at least two Sourced Facts? If not, it’s a logical leap.
Highlight Critical Gaps: What did the AI ignore? Specifically look for "boring" but vital details like unit economics, regulatory compliance, and customer acquisition costs.
Stress-Test Inferences: Play devil’s advocate. If the AI says "Market growth is certain," look for the facts that might suggest a slowdown.
Quantify the Fact-to-Assumption Ratio: If your report is 10% Sourced Facts and 90% Inferences, you don't have a research report; you have a hypothesis.

RoastIdea is designed to be the engine for this process. By automatically categorizing every claim, it removes the manual labor of sorting through "the vibe" and gives you an inspectable, logic-first document that actually supports a strategic decision. Don't just read your research—audit it.