Pick
Linkup
Pick Linkup if you trust traction signals — they list 8 customers, Phind lists 0; and SOC 2 Type 2 matters for your security review.
Head-to-head review · Updated June 2026
Linkup vs Phind: which one wins in 2026?
Linkup and Phind 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. Linkup has raised $13.2M, Phind has raised ~$11M; Both companies are roughly comparable in size; the choice comes down to price, coverage, and fit.
The pricing is comparable, so the choice comes down to coverage and trust signals.
The verdict
Pick
Phind
Phind 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 Linkup
Linkup has raised $13.2M ($10M Seed (Feb 2026, led by Gradient)). Founded by Philippe Mizrahi, Denis Charrier, Boris Toledano, based in Paris, France. On their site they list 8 named customers including McKinsey & Company, Cohere, KPMG, EY. Pricing starts at $0/mo.
Search API used by AI agents — the data layer for retrieval-augmented LLM apps.
What people praise
- Built specifically as an API for AI agents and LLMs, not retrofitted from a consumer search product
- Licenses content from publishers and pays them on usage, so results are legal and citation-safe
- Sub-second search latency is fast enough for real-time agent tool calls
- Free tier ships 4,000 queries and startups can apply for $5,000 in credits
Where it falls short
- Per-request pricing makes monthly cost hard to forecast for high-volume agents
- Deep Research mode can cost up to $2.50 per call, expensive at scale
- Not a visibility, SEO or content product, it is a raw search API and you build the workflow yourself
- No G2 or Capterra reviews yet, the company only launched its API in late 2024
The case for Phind
Phind has raised ~$11M ($10M seed, December 2025). Founded by Michael Royzen, Justin Wei, based in San Francisco, CA. Pricing starts at $0/mo.
AI search engine optimized for developers.
What people praise
- Purpose-built for developers , answers prioritize official docs, Stack Overflow, and GitHub discussions over generic blog content.
- VS Code extension lets you highlight code in the editor and get explanations, bug fixes, and refactors inline without switching context.
- Phind-70B model was tuned specifically on code tasks and reviewers consistently rated it more accurate on engineering questions than ChatGPT 3.5 at launch.
- Source citations on every answer let engineers click through to the underlying docs and verify the fix before applying it.
Where it falls short
- Phind shut down on January 16, 2026 with only two weeks of warning , users lost saved searches and chat history.
- Once OpenAI, Google, and Anthropic added native web search to their frontier models, Phind's developer-focused wrapper lost its differentiation.
- No project-wide code awareness , every query started cold, unlike Cursor or GitHub Copilot Workspace which index your repo.
- Required an internet connection for every query, making it unsuitable for air-gapped or secure environments.
Pricing, tier by tier
Tier 1
Linkup
Fetch
$0.001 - $0.005 per request
- URL content extraction
- Sub-2 second latency, synchronous
- 4,000 complimentary queries for new accounts
Phind
Free
$0/mo
- Limited Phind-70B queries per day
- Web search with citations
- VS Code extension access
Tier 2
Linkup
Search
$0.005 - $0.006 per request
- Web search tool calls for AI agents
- Fast, Standard and Deep variants
- 1-3 second synchronous latency
- Sourced, cited answers with full-text snippets
Phind
Pro
$20/mo
- 500+ Phind-70B queries per day
- Access to GPT-4 and Claude
- Higher daily limits across all models
- Faster response times
Tier 3
Linkup
Research
$0.25 - $2.50 per request
- Asynchronous deep research over the web
- 1-10 minute latency
- Multi-step reasoning with citations
Phind
Business
$40/user/mo
- Team management and SSO
- Centralized billing
- Shared workspaces
- Priority support
Tier 4
Linkup
Enterprise
Custom
- Personalized indexes
- Dedicated index refresh rates
- Private environments and bring-your-own-cloud
- IP whitelisting, ZDR, SOC 2 Type II, SLA
Phind
—
—
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 Linkup
- Fetch API. Synchronous URL content extraction in under 2 seconds, returns clean markdown
- Search API. Web search tool calls with sourced, cited answers and full-text snippets in 1-3 seconds
- Research API. Asynchronous deep research that runs multi-step reasoning over the web and returns a cited report
- Tunable index. Filter by source allowlist, freshness window and content type
- Private index. Deploy Linkup over your own proprietary documents
- Bring Your Own Cloud. Run the Linkup runtime inside your own AWS, GCP or Azure account
Only on Phind
- Phind-70B Model. In-house code-tuned 70B model that powered the default search experience before shutdown.
- VS Code Extension. Editor integration for in-context code explanations, debugging, and refactor suggestions.
- Cited Answers. Every answer linked back to the docs, Stack Overflow threads, or GitHub discussions it drew from.
- Multi-Model Access. Pro users could switch between Phind-70B, GPT-4, and Claude for the same query.
- Search-Grounded Responses. Real-time web search injected into every answer for up-to-date library, framework, and API references.
When each one wins
When Linkup wins
- You're enterprise and need to call a reference. Linkup lists 8 named customers; Phind lists 0.
- Procurement requires SOC 2 Type 2. Linkup has it; Phind doesn't yet.
- Built specifically as an API for AI agents and LLMs, not retrofitted from a consumer search product
When Phind wins
- Purpose-built for developers , answers prioritize official docs, Stack Overflow, and GitHub discussions over generic blog content.
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 Linkup 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 Linkup over Phind
- More plan flexibility. Linkup offers 4 pricing tiers vs Phind's 3, so there's a better chance one fits your team size.
- More named customers. Linkup lists 8 customers vs Phind's 0, including McKinsey & Company, Cohere, KPMG.
- SOC 2 Type 2. Linkup carries SOC 2 Type 2; Phind does not yet, which can hold up procurement.
- What users praise most. Built specifically as an API for AI agents and LLMs, not retrofitted from a consumer search product
- EU data residency. Linkup is HQ'd in Paris, France, which simplifies GDPR data-processor agreements for European buyers.
Reasons to pick Phind over Linkup
- Faster product velocity. Phind has shipped 4 public launches in the last year vs Linkup's 0.
- What users praise most. Purpose-built for developers , answers prioritize official docs, Stack Overflow, and GitHub discussions over generic blog content.
Switching from one to the other
From Linkup to Phind
Export your saved queries and prompt panels from Linkup (most tools support CSV export). Most Phind setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Phind's data againstLinkup's; one to two weeks of full reconciliation before you cancel Linkup. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Phind to Linkup
Same flow in reverse. Export from Phind, import to Linkup. 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
| Linkup | Phind | |
|---|---|---|
| Starts at (USD/mo) | $0/mo | $0/mo |
| Founded | 2024 | 2022 |
| Headquarters | Paris, France | San Francisco, CA |
| Funding raised | $13.2M | ~$11M |
| AI platforms tracked | — | — |
| G2 rating | — | — |
| Named customers | 8 | — |
| SOC 2 Type 2 | ✓ Yes | — |
| 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.
Linkup — what users praise
- Built specifically as an API for AI agents and LLMs, not retrofitted from a consumer search product
- Licenses content from publishers and pays them on usage, so results are legal and citation-safe
- Sub-second search latency is fast enough for real-time agent tool calls
- Free tier ships 4,000 queries and startups can apply for $5,000 in credits
- SOC 2 Type II and ZDR are included at no additional cost on every plan
Linkup — what users complain about
- Per-request pricing makes monthly cost hard to forecast for high-volume agents
- Deep Research mode can cost up to $2.50 per call, expensive at scale
- Not a visibility, SEO or content product, it is a raw search API and you build the workflow yourself
- No G2 or Capterra reviews yet, the company only launched its API in late 2024
- Index is still smaller than incumbents like Google or Bing, niche queries can return thin results
Phind — what users praise
- Purpose-built for developers , answers prioritize official docs, Stack Overflow, and GitHub discussions over generic blog content.
- VS Code extension lets you highlight code in the editor and get explanations, bug fixes, and refactors inline without switching context.
- Phind-70B model was tuned specifically on code tasks and reviewers consistently rated it more accurate on engineering questions than ChatGPT 3.5 at launch.
- Source citations on every answer let engineers click through to the underlying docs and verify the fix before applying it.
- Free tier was generous enough for daily individual use, which made it the default search engine for many indie developers.
Phind — what users complain about
- Phind shut down on January 16, 2026 with only two weeks of warning , users lost saved searches and chat history.
- Once OpenAI, Google, and Anthropic added native web search to their frontier models, Phind's developer-focused wrapper lost its differentiation.
- No project-wide code awareness , every query started cold, unlike Cursor or GitHub Copilot Workspace which index your repo.
- Required an internet connection for every query, making it unsuitable for air-gapped or secure environments.
- Best-quality answers were gated behind Pro , the free tier was capped at older, weaker models.
A third option
Both Linkup and Phindare 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, Linkup or Phind?
Honestly: neither one fully solves the problem. Linkup and Phind 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 Linkup 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 Linkup and Phind cost?
Linkup starts at $0/mo. Phind 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.
Do Linkup and Phind actually improve your AI visibility, or just measure it?
Both Linkup and Phind 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 Linkup and Phind?
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.