LogNorm vs Profound: which AI visibility platform fits your team?

Profound measures and acts on AI search for large brands, while LogNorm runs the whole organic growth loop for a startup, with AI visibility as one input. Profound calls itself "the AI marketing platform" and names a third of the Fortune 100 as customers. Its brand plans are a free trial and a custom Enterprise package.

LogNorm starts from your site. It crawls and audits it, researches keywords and competitors, asks ChatGPT, Gemini and Google AI Overviews your buyers' questions, and turns every finding into a move. Moves are ranked against each other into a weekly Growth Plan that your team and your coding agent work from.

Profound covers more engines: its Enterprise plan tracks up to nine, while LogNorm tracks three. Profound lists ChatGPT, Perplexity, Google AI Mode, Gemini, Microsoft Copilot, DeepSeek, Anthropic Claude, Google AI Overviews and Exa Search. Its free trial runs 50 prompts daily for 7 days on ChatGPT, Gemini and Google AI Overviews, in one language and one region.

LogNorm tracks ChatGPT, Gemini and Google AI Overviews, asked in the real products from your market's country rather than through developer APIs. It reports mentions and citations separately, labels how each answer treats you (top pick, recommended, alternative, negative), and lists the third-party pages that cite competitors and leave you out. The AI visibility page shows the full set.

If your buyers live in Copilot, Perplexity or Claude, and you need every one measured, Profound is the safer pick. If your buyers mostly ask ChatGPT and Google, three engines cover the decision for less money.

Profound runs its own agents and bills them in credits, while LogNorm hands the work to the coding agent you already pay for. Profound's agents page says "every Agent run includes an approval step before anything publishes", and agents connect to your CMS. Its agency plan includes 400 agent credits per client workspace each month.

On LogNorm you connect Claude Code, Codex, Cursor or Claude over MCP in one sentence. The agent joins the workspace under its own name, claims moves from the ranked plan, fixes SEO and GEO issues in your repository, writes drafts for review and asks LogNorm to re-check fixes on the live site. Its thinking and writing run on your Claude or Codex plan, so they cost no LogNorm credits and need no AI key. The agents page covers the permissions you control.

Both products publish an MCP server. Profound's hosted server exposes visibility, sentiment, citation, bot and referral reports and can create workflows. LogNorm's server gives the agent the plan, audit findings, keywords, AI answers and the tools to act on them, with every step shown on the dashboard.

Profound's public pages centre on AI search: answer engine tracking, agents, Agent Analytics and integrations, with no crawl-based SEO audit or keyword research product listed. That suits a brand whose SEO stack is already in place.

LogNorm puts SEO and AI search in one backlog. The site audit runs 29 rules on a crawl of your site and a GEO audit that checks AI crawler access in robots.txt and at your CDN, llms.txt, structured data, entity clarity and answerability. Keyword research covers 94 countries, judges each keyword for fit and intent, and groups keywords into pages and topic clusters with hub-and-spoke plans.

Profound does have something LogNorm lacks: Agent Analytics reads your server logs to show AI crawler and agent traffic, with connectors for Cloudflare, Fastly, Vercel, Netlify and others. LogNorm's GEO audit tells you whether AI crawlers can reach you, but it does not count their visits.

LogNorm decides the order for you, and that is the part most AI visibility tools leave to the team. Every finding from audits, Search Console, keywords, competitors and AI answers becomes a move with its evidence attached.

LogNorm then compares open moves in pairs, asking each question both ways round, and fits the answers into one ranking. Each move shows which moves it is ahead of and behind. You set a weekly target, and LogNorm fills the week with the top moves nobody holds. Shipped moves are measured from Search Console at 28 and 90 days, and AI visibility runs before and after the ship date show whether answers changed.

LogNorm publishes its prices; Profound shows no public price for brand plans. Profound's pricing page lists a free trial and a custom Enterprise package for brands. For agencies it lists client workspaces as an add-on at $399 a month each and five extra trial workspaces at $199 a month.

LogNorm's first workspace gets a 14-day Growth trial with 1,000 credits and no card. Credits pay for what LogNorm runs (crawls, research, AI answer checks); an AI visibility answer costs half a credit. Details are in credits and billing.

Profound is the better choice for a large brand that treats AI search as its own channel and has a team to run it.

• You need coverage beyond ChatGPT, Gemini and AI Overviews, such as Copilot, Perplexity, Claude or DeepSeek.
• You want AI crawler and agent traffic measured from server logs.
• Procurement needs SSO/SAML and SOC 2, which Profound lists on Enterprise.
• You track many languages and regions and want a custom package with unlimited seats.

LogNorm is the better choice for a startup that needs one tool to find, rank and ship its growth work, with AI visibility inside that loop.

• You want SEO audits, keyword research, competitor gaps and AI visibility in one ranked backlog.
• You already use Claude Code or Codex and want it fixing your site and writing posts without an AI key.
• You need a public price you can start on today, from free to $299 a month.
• You want fixes re-checked on the live site and results measured at 28 and 90 days.