Picture the head of engineering at a 200-person fintech shortlisting vendors for a data migration. They skip Google, ignore the polished pitch decks in their inbox, and don't bother with your latest press release. Instead, they enter a prompt into an AI engine: "Give me a brutal, unvarnished comparison of the top three platforms in this space, specifically looking for scaling issues mentioned by actual engineering teams."
Within seconds, the AI gives a clear answer. It recommends your main competitor, backed by glowing reviews from developer forums. It also labels your brand as a "legacy risk," pointing to a discussion on a subreddit from three years ago as evidence of your bad fit for the project. Everything you have spent on marketing is powerless against an outdated answer. You lose a deal you never even knew about.
This is a baseline reality of modern B2B discovery. While your website tells AI engines what your company does, and your PR footprint validates those claims across the publications your buyers read, the machine anchors its final verdict in peer-to-peer consensus. The Althea Score uncovers this vital sounding board and offers solutions to strengthen your reputation within these online communities.
The Dark Social Layer
The real problem with traditional marketing is that it relies on what you can track. You measure form fills, site clicks, and page views. But your actual buyers are hiding out in "dark social" communities, asking peers in closed Slack channels, private Discord instances, and technical subreddits.
AI companies want the public side of this conversation twice over. To train on it and to show it in their products, they pay for it. Reddit's "other revenue", the line it defines as content licensing and products sold directly to users, was $140.0 million in 2025, up from $114.7 million in 2024, according to its FY2025 annual report (Form 10-K), which attributes the growth to content licensing agreements signed in 2024 and 2025. Its agreements with Google (February 2024) and OpenAI (May 2024) give both companies access to Reddit's Data API, and OpenAI said it would bring Reddit content into ChatGPT. For answers, engines retrieve and cite it. In Foundation's 2026 study of 50 B2B brands, Reddit accounted for 20.8% of external citations, rising to 30.9% on unbranded discovery queries, the ones where a buyer is exploring a category without a vendor in mind. The licensing deals are about training and search access. The citation share is what shows up in front of your buyer.
Why Single-Channel Optimization Breaks Down
The temptation for most marketing teams is to treat this like a new checklist. They think they can simply hire a team to seed links on Reddit or manipulate developer forums to win the AI's favor.
That is an incredibly dangerous bet. AI visibility is fundamentally fragile. Licensing deals and lawsuits decide which platforms an engine can read, and that can change fast. When Reddit sued Perplexity in October 2025 over scraping, the complaint said that Perplexity's citations to Reddit had increased forty-fold after it was told to stop. Access to the platforms AI engines lean on can change with a lawsuit or a licensing deal, which is why a brand's community presence cannot depend on one channel.
AI models do not look at these channels in a vacuum, and neither should you. When a generative engine answers, it reads your site, checks what the press says about you, and weighs what your users say, all in the same pass. If any single layer fails, the others carry less weight than you think. To survive this shift, you have to look at your brand as an interconnected ecosystem. The exact same way LLMs do.
What is The Althea Score?
The Althea Score audit looks at your presence across the four inputs that shape what AI engines say about you:
1. Front-End SEO
We read your content the way a buyer's prompt will meet it. Instead of counting keywords, we check whether your copy states plainly what you do and who it is for, whether it maps your brand to the specific problems buyers ask about, and whether it answers in the direct, conversational language people type into AI tools. Then we run live prompts across the major engines to see what they say you are known for. Part 1 gives you the four tests.
2. Back-End Infrastructure
You can have world-class content, but it means nothing if a crawler hits a wall. This input audits your robots.txt and server rules, identifies outdated lead-gen forms that hide data from AI crawlers, and checks that your schema markup states who you are and what you sell for engines such as ChatGPT, Gemini and Google AI Overviews, Claude, and Perplexity.
3. The PR Footprint
This input measures your authority across the independent sources AI engines cite. We track how often you are cited against your closest market rivals in Gauge, the AI visibility measurement platform we use with clients, and read the answers for two things: tone (is the engine framing your brand positively, neutrally or negatively?) and message pull-through (is the AI accurately explaining your product, or repeating outdated definitions?).
4. Community Presence
The final input maps your footprint where B2B buyers actually talk to each other: the subreddits for their stack and their sector, Slack and Discord communities, Hacker News threads, and review sites such as G2. These are the places a head of engineering goes to ask "has anyone actually used this?", and the public ones (Reddit, Hacker News, review sites) are where AI engines go to answer the same question.
The numbers say community is not a side channel. Foundation's figure above puts Reddit at about a fifth of the external citations AI engines gave for B2B brands, and nearly a third on discovery queries. Within the social sources ChatGPT cites, Goodie's study of 1.8 million social citations (October 2025 to February 2026) found ChatGPT leans heavily on Reddit (61.1%) and LinkedIn articles (18.8%). Semrush found that Reddit dominated citation sources across all the LLMs it studied.
The audit starts by mapping where you are mentioned, where you are absent, and where competitors are gaining organic recommendations while your brand stays silent. What we do about it follows the Human Proof principle of PR Plus: an authentic presence where your customers actually talk. That means genuine participation, founders and engineers answering questions under their own names, a maintained profile on the review sites your buyers check, and a reason for real users to say something good, rather than manufactured content. Seeded threads and astroturfed reviews are the fastest way to lose the trust of the very communities you were trying to win.
What You Get Back
The Althea Score is an audit, and what it gives a founder is concrete: a full review of your SEO content and technical setup, a PR footprint analysis across owned and earned media, a baseline of how visible your brand is in AI answers and whether the engines recognize you as an entity, and a Brand Presence Report with prioritized recommendations. If you go on to work with us, tracking runs in Gauge and you get a monthly visibility report against that baseline, so you can see which of the four inputs is moving. Our guide to what AI visibility is explains how the four inputs fit together. If you want the audit rather than the reading, start below.
Ready to See Where You Stand?
Every Althea Labs engagement starts with an audit. We show you exactly where your brand stands in search, in AI, and in the communities where your buyers actually are, then show you what it would take to build from there.
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