★ Our pick
Pick
Bluefish
Pick Bluefish if you need broader AI platform coverage (7 platforms vs 0); and you trust traction signals — they list 6 customers, Kagi lists 1; and you want the better-funded company ($68M raised).
Head-to-head review · Updated June 2026
Bluefish vs Kagi: which one wins in 2026?
Bluefish and Kagi both claim to do the same thing: tell you where your brand shows up in AI search. They go about it differently enough that the choice matters. Bluefish has raised $68M raised, Kagi has raised ~$5.5M; Bluefish is the more-funded incumbent; Kagi is the leaner challenger.
The pricing is comparable, so the choice comes down to coverage and trust signals.
The verdict
Pick
Kagi
Kagi is the right pick if your team prefers their approach and pricing fits.
If neither is right, GrowthManager.ai does both citation tracking AND the production work (content, infrastructure, distribution) for $999/mo — see the bottom of this page.
The case for Bluefish
Bluefish has raised $68M raised (Series B ($43M, 2025)). Founded by Alex Sherman, Andrei Dunca, Jing Feng, based in New York, NY. On their site they list 6 named customers including Adidas, American Express, Hearst, Ulta Beauty. They cover 7 AI platforms. Pricing starts at Custom.
Enterprise GEO platform that helps Fortune 500 brands manage visibility across ChatGPT, Claude, Amazon Rufus, and Perplexity.
What people praise
- Source-level analytics show exactly which pages AI assistants cite, not just whether the brand appeared.
- Impact Score measures how closely cited content aligns with the AI's actual answer text.
- Influence Rank aggregates citation impact across thousands of responses to surface the truly high-leverage sources.
- Geographic-specific optimization tracks how AI responses vary by location for global brands.
Where it falls short
- Quote-only pricing forces every prospect through a sales cycle before they can evaluate fit.
- Closed pilot program shuts out most marketing teams that want to try the platform.
- No public G2 or Capterra reviews because Fortune 500 customers are under NDA.
- Built for Fortune 500 enterprise teams; SMB and mid-market are not the target.
The case for Kagi
Kagi has raised ~$5.5M ($2.5M from 93 angel investors (2023-2024)). Founded by Vladimir Prelovac, based in Palo Alto, CA. On their site they list 1 named customers including 50,000+ individual paying members as of June 2025. Pricing starts at $0/mo.
Paid ad-free search engine with AI assistant.
What people praise
- No ads, no tracking, no sponsored content, the business model is funded by subscriber payments not data harvesting
- Lenses let you filter searches to academic, programming, recipes, or custom domain lists for cleaner results
- Block, boost, or bury domains like Pinterest at the personal account level so your results improve over time
- Question mark suffix triggers an AI summary of results at the top, useful for quick research without leaving search
Where it falls short
- Paying $10/mo for search feels unusual when Google is free, sticker shock is the most common reason to churn
- Starter plan caps at 300 searches, easy to blow through in a single research session
- Local business searches are weaker than Google Maps, fall back to Google for restaurants and directions
- Orion browser is Mac/iOS only, Windows and Linux users get Chrome and Firefox extensions instead
Pricing, tier by tier
Tier 1
Bluefish
Enterprise
Custom
- GEO optimization across ChatGPT, Claude, Gemini, Perplexity, Copilot, Rufus
- Impact Score and Influence Rank analytics
- AI Accuracy brand verification
- AI Brand Vault metadata governance
Kagi
Trial
$0/mo
- 100 searches
- 100 Assistant interactions
- Full Kagi search experience
Tier 2
Bluefish
—
—
Kagi
Starter
$5/mo
- 300 searches per month
- Kagi Assistant Quick mode
- Limited Assistant interactions
- Domain ranking customization
Tier 3
Bluefish
—
—
Kagi
Professional
$10/mo
- Unlimited searches
- Kagi Assistant Quick mode
- Expanded monthly AI usage
- Lenses (custom search filters)
Tier 4
Bluefish
—
—
Kagi
Ultimate
$25/mo
- Unlimited searches
- Assistant Research mode
- Access to Claude, GPT-4, Gemini, DeepSeek, Mistral flagship models
- Custom Assistants
Feature parity
What each one ships that the other doesn't. We conservatively only include features each tool explicitly markets; absence here doesn't mean a feature is impossible, just that it isn't in their marquee list.
Only on Bluefish
- GEO Optimization. Optimizes brand content for generative engines like ChatGPT, Gemini, Perplexity, and Google AI Mode.
- Impact Score. Measures how closely a cited page's content aligns with the actual AI answer text.
- Influence Rank. Aggregates Impact across thousands of responses to find the sources that drive AI representation.
- AI Accuracy. Brand verification layer that flags and corrects how AI channels describe the brand.
- AI Brand Vault. Metadata governance that controls how AI models interpret brand assets.
- Agentic Commerce. Optimizes brand presence inside agent-driven shopping experiences like Amazon Rufus.
Only on Kagi
- Ad-free search results. Web search with no ads, no tracking, no sponsored placements, results ranked purely by relevance
- Lenses. Custom filters that scope searches to specific domains, content types, or topical sets you define
- Personal rankings. Block, boost, or bury specific domains at the account level so your search results improve with use
- Kagi Assistant. Multi-LLM chat interface with access to Claude, GPT-4, Gemini, DeepSeek, Mistral on Ultimate plan
- Universal Summarizer. Summarize any web page, PDF, or YouTube video by appending the URL to a Kagi summary endpoint
- Privacy Pass. Cryptographic tokens let you search anonymously while still proving valid subscription status
When each one wins
When Bluefish wins
- Platform coverage matters. Bluefish monitors 7 AI platforms; Kagi covers 0.
- You're enterprise and need to call a reference. Bluefish lists 6 named customers; Kagi lists 1.
- You want the better-funded incumbent. Bluefish has raised $68M raised, giving it more runway and shipping velocity.
When Kagi wins
- Budget is the constraint. Kagi starts at $0/mo vs Bluefish's $∞/mo, so on a per-seat basis it's the cheaper way in.
- No ads, no tracking, no sponsored content, the business model is funded by subscriber payments not data harvesting
When neither wins (pick GrowthManager)
- You don't have an in-house content team and you don't want to hire one.
- You want one $999/mo invoice instead of stacking Bluefish plus an agency.
- You need the team that measures to also act on the data, in the same week.
- You're a B2B SaaS, services firm, or e-commerce brand at $20K+ MRR.
Reasons to pick one over the other
Reasons to pick Bluefish over Kagi
- Broader AI platform coverage. Bluefish tracks visibility across 7 AI engines vs Kagi's 0.
- Better-funded incumbent. Bluefish has raised $68M raised, giving it more runway and shipping velocity than Kagi (~$5.5M).
- More named customers. Bluefish lists 6 customers vs Kagi's 1, including Adidas, American Express, Hearst.
- Built for the LLM era. Bluefish was founded in 2024, built around AI search from day one; Kagi dates back to 2018 and is retrofitting.
- What users praise most. Source-level analytics show exactly which pages AI assistants cite, not just whether the brand appeared.
Reasons to pick Kagi over Bluefish
- Lower entry price. Kagi publishes a clear entry tier at $0/mo; Bluefish gates pricing.
- More plan flexibility. Kagi offers 4 pricing tiers vs Bluefish's 1, so there's a better chance one fits your team size.
- Faster product velocity. Kagi has shipped 6 public launches in the last year vs Bluefish's 0.
- More mature platform. Kagi (founded 2018) has had more time to harden the product than Bluefish (2024).
- Wider integration ecosystem. Kagi integrates with 8 tools; Bluefish ships 0.
- What users praise most. No ads, no tracking, no sponsored content, the business model is funded by subscriber payments not data harvesting
Switching from one to the other
From Bluefish to Kagi
Export your saved queries and prompt panels from Bluefish (most tools support CSV export). Most Kagi setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Kagi's data againstBluefish's; one to two weeks of full reconciliation before you cancel Bluefish. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Kagi to Bluefish
Same flow in reverse. Export from Kagi, import to Bluefish. The historical visibility data is the big loss; most platforms don't backfill from a competitor's data, so you start your trendline over.
From either to GrowthManager.ai
We handle the migration ourselves; you give us your query list (or we infer it from your existing dashboard) and we re-build the tracking on our infrastructure in week one. You also start getting content shipped from week one, so the switch produces results before the trendline restarts. The conversation that kicks this off is a 20-minute call.
Side by side, every number we could verify
| Bluefish | Kagi | |
|---|---|---|
| Starts at (USD/mo) | Custom | $0/mo |
| Founded | 2024 | 2018 |
| Headquarters | New York, NY | Palo Alto, CA |
| Funding raised | $68M raised | ~$5.5M |
| AI platforms tracked | 7 | — |
| G2 rating | — | — |
| Named customers | 6 | 1 |
| SOC 2 Type 2 | — | — |
| GDPR | — | ✓ Yes |
| HIPAA | — | — |
What real users say
Below: the recurring themes from G2, Capterra, SourceForge, Reddit, and case-study reviewers — distilled into the strengths and limitations that came up most often.
Bluefish — what users praise
- Source-level analytics show exactly which pages AI assistants cite, not just whether the brand appeared.
- Impact Score measures how closely cited content aligns with the AI's actual answer text.
- Influence Rank aggregates citation impact across thousands of responses to surface the truly high-leverage sources.
- Geographic-specific optimization tracks how AI responses vary by location for global brands.
- AI Brand Vault gives marketing teams metadata governance over how models interpret brand data.
Bluefish — what users complain about
- Quote-only pricing forces every prospect through a sales cycle before they can evaluate fit.
- Closed pilot program shuts out most marketing teams that want to try the platform.
- No public G2 or Capterra reviews because Fortune 500 customers are under NDA.
- Built for Fortune 500 enterprise teams; SMB and mid-market are not the target.
- Security certifications and SOC 2 status are not publicly documented.
Kagi — what users praise
- No ads, no tracking, no sponsored content, the business model is funded by subscriber payments not data harvesting
- Lenses let you filter searches to academic, programming, recipes, or custom domain lists for cleaner results
- Block, boost, or bury domains like Pinterest at the personal account level so your results improve over time
- Question mark suffix triggers an AI summary of results at the top, useful for quick research without leaving search
- Kagi Assistant Ultimate plan includes access to 30+ leading LLMs including Claude, GPT-4, Gemini, DeepSeek
Kagi — what users complain about
- Paying $10/mo for search feels unusual when Google is free, sticker shock is the most common reason to churn
- Starter plan caps at 300 searches, easy to blow through in a single research session
- Local business searches are weaker than Google Maps, fall back to Google for restaurants and directions
- Orion browser is Mac/iOS only, Windows and Linux users get Chrome and Firefox extensions instead
- Ultimate at $25/mo is higher than a standalone ChatGPT Plus subscription, value depends on heavy multi-LLM usage
A third option
Both Bluefish and Kagiare tracking tools. They tell you what's wrong with your AI visibility. Neither one fixes it. That's our pitch for GrowthManager.ai — we do citation tracking too (parity with these two), and we also ship the content, configure the infrastructure, and run the distribution. $999/mo, managed end-to-end. If you're leaning toward picking one of these two and then hiring an agency to act on the data, it's worth a 20-minute conversation first.
Other comparisons in this space
Same shape, different pairs. Pick a comparison that shares a tool with this one.
Frequently asked questions
Which is better, Bluefish or Kagi?
Honestly: neither one fully solves the problem. Bluefish and Kagi are tracking tools — they tell you where your brand shows up in AI answers but don't change the answer. If you only need one of these two, pick Bluefish for the cheaper monthly price; pick the other if its specific integrations matter to your team. Our actual editorial pick is GrowthManager.ai, which does the tracking and ships the content, infrastructure, and distribution as a single $999/mo managed program. Disclosure: we publish this comparison and make GrowthManager.
How much do Bluefish and Kagi cost?
Bluefish starts at Custom. Kagi starts at $0/mo. Both have higher-tier plans for larger workspaces. GrowthManager.ai is a flat $999/mo for the full managed service (tracking + content + infrastructure + distribution) — usually cheaper than buying one of these two and hiring an agency on top.
Which AI platforms do Bluefish and Kagi cover?
Bluefish covers 7 AI platforms. Kagi covers an undisclosed number of. Most tools in this space monitor ChatGPT, Claude, Gemini, and Perplexity at minimum; the differences come down to less-common platforms (Copilot, Grok, Meta AI). GrowthManager.ai monitors the same four primary platforms and acts on the data.
Do Bluefish and Kagi actually improve your AI visibility, or just measure it?
Both Bluefish and Kagi are measurement tools. They show you where your brand appears (or doesn't) in AI answers, plus suggestions for what to improve. Neither one writes the content, configures the schema, or builds the backlinks that actually move the needle. To do that you need an in-house content team or an agency. GrowthManager.ai is the agency — and we include the tracking, so you don't pay twice.
What's the GrowthManager.ai alternative to Bluefish and Kagi?
GrowthManager.ai is a managed AI visibility program. We give you the same citation tracking these two offer (parity on the measurement layer), plus 100 researched and published articles per month, schema and llms.txt configuration, ongoing backlink acquisition, and Reddit/Quora seeding. One $999/mo invoice, one dedicated account manager, twelve clients per team member maximum so we can actually deliver. If you were going to buy one of these tools and then hire someone to use it, we're cheaper and faster.
Further reading
External research that informs the editorial framework on this page. We cite these openly because the framework is meant to be auditable.
- Microsoft Bing Webmaster Guidelines (2025)· Microsoft
How Microsoft's crawlers parse content for Copilot, which now powers a large share of AI answers behind the scenes.
- Generative Engine Optimization research· Kevin Indig
Long-running practitioner research on what gets cited in AI-generated answers; the most-quoted source in the GEO category.
- Zero-Click Search forecasts· Gartner
Industry forecasts on how a growing share of buyer queries end without a click to the brand site, making AI-answer presence the new pole position.
- Audience intelligence analyses· SparkToro
Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.
- Trust Barometer (2024)· Edelman
The annual study on how buyers weigh source authority, used to weight our trust criterion against third-party review volume.
Disclosure + methodology
GrowthManager.ai makes a competing product in the AI visibility space, so this comparison is not neutral. Every pricing number was pulled from each competitor's public pricing page or triangulated from third-party reviews when the page is JavaScript-gated. Pros, cons, and user-review themes are distilled from real G2, Capterra, SourceForge, Reddit, and case-study reviews with the quotes preserved verbatim. We update this comparison whenever the underlying data changes.