Bluefish pricing, plans and limits

Last updated: 2026-10-19

Bluefish is an enterprise AI marketing platform, launched in 2024, that monitors how answer engines such as ChatGPT, Gemini, Perplexity and Claude describe a brand. It generates page-level tactics, checks AI claims against a verified source of truth, and measures each change against a fixed baseline. The company reports that about 10% of the Fortune 500 use it.

About Bluefish

Bluefish is a New York software company, founded in 2024 by Alex Sherman, Jing Feng and Andrei Dunca, that sells an enterprise platform for managing how AI answer engines describe a brand. It announced a $43 million Series B on 14 April 2026, co-led by Threshold Ventures and NEA, which the company says brought total funding to $68 million. Named customers include Adidas, American Express, Hearst, LVMH and Ulta Beauty.

The platform is sold as three suites. AI Monitoring repeats a fixed set of prompts every day and reports visibility, sentiment, influence and the sources behind each answer across answers from ChatGPT through Google's Gemini, plus Perplexity results, Anthropic's Claude replies and the shopping assistants of Amazon. AI Optimization turns the gaps into page-level tactics through Agentic Campaigns, assigns each one to a team, and can push verified brand facts to AI platforms, and to AI agents over MCP, the Model Context Protocol. AI Measurement compares each change with a fixed baseline so a gain is not credited to a model update. AI Accuracy, added in 2026, checks what the engines say against a brand's own verified facts. Because several of the engines belong to OpenAI, Anthropic and Google, a brand's standing can shift whenever one of them changes a model, which is the problem the baseline is built for.

What separates it from self-serve trackers is the enterprise scaffolding: breakdowns by customer audience, security badges for procurement, and a services arm that the vendor says most customers use. The closest like-for-like rival, Profound, also sells by sales call to large brands. Budget-minded teams get printed monthly prices from Peec AI and from OtterlyAI, while an SEO-first team may prefer the AI visibility plan inside Semrush. Publishing verified sources to the engines is a job that Senso (see its record) takes on from the content side.

Nothing is priced publicly. The site's only call to action is a demo request, there is no pricing page, and no free plan or trial is listed on the pages read. A single cost estimate exists, in a study Bluefish paid for; the pricing notes cover it. Other records in the same HokAI category include the SEO suite Ahrefs, plus CiteLens for a free plan, and Writesonic for AI writing; the wider tracker list shows the rest. To look at the answer engines themselves, see Best AI Search Engines in 2026, or read how CiteLens compares with Palmata.

Pricing

No public price. com/pricing returned a 404 on 2026-10-19 and every call to action reads Request a demo, so the platform and its services are custom quotes. 9 million in its three-year model.

That is a modelled total, not a list price, and Forrester advises readers to substitute their own estimates. Printed prices sit with Peec AI, and also with OtterlyAI. On the quote-led side, Profound remains the closest rival.

com and its blog on 2026-10-19, in USD.

Key Features

• Daily multi-engine monitoring: Repeats a fixed prompt set every day across 10+ models, including Alexa for Shopping, and splits visibility and share of voice by the customer personas a brand defines.
• Citation and influence analysis: Impact Score, Influence Rank and Citation Analysis trace each AI answer to the URL behind it, so a team sees which owned and third-party pages carry the most weight.
• AI Accuracy and Brand Vault: Extracts each factual claim an engine makes about the brand, checks it against a verified source of truth built from the brand's own content, and traces every mismatch to its channel and response; launched 5 May 2026.
• Agentic Campaigns: Takes a goal such as visibility or accuracy, then generates page-specific tactics from AI response data, citation data and site content and assigns them to owners; launched 18 June 2026.
• Baseline measurement: Starts every KPI from a fixed-prompt baseline built from Google signals, brand data and panel data, so a lift can be separated from a model update and tied to a dated tactic.
• MCP and data syndication: Pushes verified brand data to AI platforms and serves it to AI agents through native MCP integrations; the product page also lists API access.
• Strategy services: Offers a one-time performance diagnostic, a custom AI brand audit and AEO execution plans; the vendor says 85% of customers use the services arm.

Pros

• Tracking, tactics and measurement sit in one workspace, so a gap found in monitoring can become an assigned tactic and later be judged against a baseline without exporting data.
• SOC 2 Type II, SSO and MFA are listed on the product page, which gives a regulated buyer a starting point for security review.
• Publishes a Forrester economic model with a stated range of 220% to 446% ROI, and repeats Forrester's caveat that readers should substitute their own figures.
• Fixed-prompt baselines address the usual weakness of answer-engine reporting, where results move because the models moved and not because the team did anything.

Cons

• No public pricing, free plan or self-serve sign-up was found, so a team cannot size a budget or test the product before a sales conversation.
• Positioned for global brands, so a small team or single-site business may find it priced and scoped beyond its needs.
• Independent proof is thin: the ROI model was commissioned by Bluefish, and no public peer-review rating for the product was found.
• The security badges rest on the vendor's page alone; no public trust-center page was found, so ask for the SOC 2 report before relying on it.

Visit Bluefish Official Website