Pick
Outranking
Pick Outranking if you want the cheaper option ($19/mo vs $0/mo).
Head-to-head review · Updated June 2026
Outranking vs Phind: which one wins in 2026?
Outranking 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. Phind is the more-funded incumbent; Outranking is the leaner challenger.
Phind is cheaper out the gate, but that's not the only thing that matters. The right pick depends on which dimension matters most for you.
The verdict
Pick
Phind
Pick Phind if you want the cheaper option ($0/mo vs $19/mo); and you want the better-funded company (~$11M).
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 Outranking
Pricing starts at $19/mo.
AI SEO content workflow with brief generation and on-page optimization.
What people praise
- Long-form briefs are praised as the most detailed in the category, including competitor structure, word counts, and required entities pulled from live SERP data.
- The Concepts feature uses SERP data to generate genuinely new content ideas, which reviewers single out as unique versus Surfer and Frase.
- Optimizing existing content is fast , paste a URL, get an actionable checklist of fixes, ship the update, see ranking lift within days.
- Cost per article works out to roughly $4.60-$4.75 across all tiers, which is much cheaper than MarketMuse Strategy at $499/mo for similar capabilities.
Where it falls short
- AI credits get consumed quickly when using the Concepts feature, pushing teams to upgrade tiers faster than expected.
- UI and UX are repeatedly called dated and overwhelming, especially for new users coming from cleaner tools like Surfer or Frase.
- Reviewers complain about contradicting answers from customer support and difficulty getting refund or downgrade requests resolved.
- The platform leans on GPT-4 with no fact-checking layer, so the AI can confidently produce wrong information that still ranks.
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
Outranking
Starter
$19/mo
- 5 documents per month
- 1 seat
- SERP analysis and content briefs
- AI first-draft generator
Phind
Free
$0/mo
- Limited Phind-70B queries per day
- Web search with citations
- VS Code extension access
Tier 2
Outranking
SEO Writer
$79/mo
- 15 documents per month
- 2 seats
- Brand voice and style guide
- Concepts feature for new content ideas
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
Outranking
SEO Wizard
$159/mo
- 30 documents per month
- 3 seats
- Full content optimization workflows
- Internal linking suggestions
Phind
Business
$40/user/mo
- Team management and SSO
- Centralized billing
- Shared workspaces
- Priority support
Tier 4
Outranking
Custom
Custom
- Custom document and seat limits
- Priority support
- Onboarding
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 Outranking
- SERP-Based Content Briefs. Auto-generates briefs from top-ranking pages with outline, word count target, entities, and competitor structure.
- AI First Drafts. Produces full first drafts using GPT-4 with built-in background research and brand voice settings.
- Concepts. Mines SERP data to suggest novel angles and subtopics other top-ranking pages have not covered.
- Content Optimization Score. Real-time editor scoring keywords, NLP entities, headings, and readability against the top SERPs.
- Internal Linking Suggestions. Recommends internal links from your existing content library based on semantic relevance.
- Brand Voice and Style Guide. Lets you set tone, style, and reusable instructions that the AI follows across all drafts.
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 Outranking wins
- Long-form briefs are praised as the most detailed in the category, including competitor structure, word counts, and required entities pulled from live SERP data.
When Phind wins
- Budget is the constraint. Phind starts at $0/mo vs Outranking's $19/mo, so on a per-seat basis it's the cheaper way in.
- You want the better-funded incumbent. Phind has raised ~$11M, giving it more runway and shipping velocity.
- 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 Outranking 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 Outranking over Phind
- More plan flexibility. Outranking offers 4 pricing tiers vs Phind's 3, so there's a better chance one fits your team size.
- More verified reviews. Outranking has 65 G2 reviews vs Phind's none on file, so the average rating carries more weight.
- What users praise most. Long-form briefs are praised as the most detailed in the category, including competitor structure, word counts, and required entities pulled from live SERP data.
Reasons to pick Phind over Outranking
- Lower entry price. Phind starts at $0/mo vs Outranking's $19/mo.
- Better-funded incumbent. Phind has raised ~$11M, giving it more runway and shipping velocity than Outranking.
- Faster product velocity. Phind has shipped 4 public launches in the last year vs Outranking'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 Outranking to Phind
Export your saved queries and prompt panels from Outranking (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 againstOutranking's; one to two weeks of full reconciliation before you cancel Outranking. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Phind to Outranking
Same flow in reverse. Export from Phind, import to Outranking. 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
| Outranking | Phind | |
|---|---|---|
| Starts at (USD/mo) | $19/mo | $0/mo |
| Founded | 2020 | 2022 |
| Headquarters | Wilmington, DE | San Francisco, CA |
| Funding raised | — | ~$11M |
| AI platforms tracked | — | — |
| G2 rating | 4.5 / 5 (65 reviews) | — |
| Named customers | — | — |
| SOC 2 Type 2 | — | — |
| GDPR | — | — |
| 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.
Outranking — what users praise
- Long-form briefs are praised as the most detailed in the category, including competitor structure, word counts, and required entities pulled from live SERP data.
- The Concepts feature uses SERP data to generate genuinely new content ideas, which reviewers single out as unique versus Surfer and Frase.
- Optimizing existing content is fast , paste a URL, get an actionable checklist of fixes, ship the update, see ranking lift within days.
- Cost per article works out to roughly $4.60-$4.75 across all tiers, which is much cheaper than MarketMuse Strategy at $499/mo for similar capabilities.
- ChatGPT and GPT-4 powered drafts are factually grounded by built-in background research, reducing the post-edit work needed compared to generic AI writers.
Outranking — what users complain about
- AI credits get consumed quickly when using the Concepts feature, pushing teams to upgrade tiers faster than expected.
- UI and UX are repeatedly called dated and overwhelming, especially for new users coming from cleaner tools like Surfer or Frase.
- Reviewers complain about contradicting answers from customer support and difficulty getting refund or downgrade requests resolved.
- The platform leans on GPT-4 with no fact-checking layer, so the AI can confidently produce wrong information that still ranks.
- Top public tier caps at 30 documents per month, which is a hard ceiling for agencies producing high volumes of client content.
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 Outranking 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, Outranking or Phind?
Honestly: neither one fully solves the problem. Outranking 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 Phind 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 Outranking and Phind cost?
Outranking starts at $19/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 Outranking and Phind actually improve your AI visibility, or just measure it?
Both Outranking 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 Outranking 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.