Pick
Phind
Pick Phind if you want the cheaper option ($0/mo vs $99/mo); and you want the better-funded company (~$11M).
Head-to-head review · Updated June 2026
Phind vs Topic: which one wins in 2026?
Phind and Topic 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; Topic 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
Topic
Pick Topic if you want the cheaper option ($99/mo vs $0/mo); and you trust traction signals — they list 9 customers, Phind lists 0.
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 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.
The case for Topic
Founded by Ryo Chiba, Nikhil Aitharaju, based in Toronto, Canada. On their site they list 9 named customers including Magoosh, Quizlet, BiggerPockets, Amerisleep. Pricing starts at $99/mo.
Content optimization platform that turns research into briefs and outlines.
What people praise
- Cuts content research time 45-50% by auto-parsing the top 30 Google results for headings, questions, and keyword targets.
- Simple Starter at $99/mo and $7 intro pack make it the cheapest serious entry point versus Surfer, Clearscope, and MarketMuse.
- Magoosh case study shows 300%+ year-over-year new-user growth on a single optimized post.
- Used by BiggerPockets, Magoosh, Quizlet, Amerisleep, Elementor, TrustRadius, and WSI.
Where it falls short
- Brief and optimization quotas (10 to 50 per month) are tight for agencies running multiple clients.
- No native AI article generator at the level of Surfer AI or Frase Pro; Topic positions as briefs, not full drafts.
- Pricing changes infrequent and no free trial beyond the $7 intro pack.
- Acquired by CafeMedia/Raptive in September 2021; roadmap pace has slowed compared to standalone Surfer or Clearscope.
Pricing, tier by tier
Tier 1
Phind
Free
$0/mo
- Limited Phind-70B queries per day
- Web search with citations
- VS Code extension access
Topic
Starter
$99
- 10 content briefs and optimizations per month
- 1-month rollover
- 1 user seat
- Keyword research tool
Tier 2
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
Topic
Plus
$199
- 25 content briefs and optimizations per month
- 3 user seats
- 1-month rollover
- Keyword research tool
Tier 3
Phind
Business
$40/user/mo
- Team management and SSO
- Centralized billing
- Shared workspaces
- Priority support
Topic
Premium
$299
- 50 content briefs and optimizations per month
- 5 user seats
- 1-month rollover
- Keyword research tool
Tier 4
Phind
—
—
Topic
Enterprise
Custom
- Higher brief volume
- API access
- Custom seat counts
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 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.
Only on Topic
- Content Brief Builder. Analyzes top 30 Google results for a keyword and auto-suggests headings, questions, and required terms.
- Outline Builder. Drag-and-drop outline workspace with GPT-powered drafts of section titles and intros.
- Content Grader. Live scoring of drafts against target keywords and missing subtopics inside Google Docs or the web app.
- Keyword Research. Built-in keyword volume and difficulty data tied to brief creation.
- Google Docs add-on. Side panel that runs Topic's scoring on a draft without leaving Google Docs.
- WordPress plugin. Push optimized briefs and scores into the WordPress editor for the writer.
When each one wins
When Phind wins
- Budget is the constraint. Phind starts at $0/mo vs Topic's $99/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 Topic wins
- You're enterprise and need to call a reference. Topic lists 9 named customers; Phind lists 0.
- Cuts content research time 45-50% by auto-parsing the top 30 Google results for headings, questions, and keyword targets.
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 Phind 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 Phind over Topic
- Lower entry price. Phind starts at $0/mo vs Topic's $99/mo.
- Better-funded incumbent. Phind has raised ~$11M, giving it more runway and shipping velocity than Topic.
- Faster product velocity. Phind has shipped 4 public launches in the last year vs Topic's 0.
- What users praise most. Purpose-built for developers , answers prioritize official docs, Stack Overflow, and GitHub discussions over generic blog content.
Reasons to pick Topic over Phind
- More plan flexibility. Topic offers 4 pricing tiers vs Phind's 3, so there's a better chance one fits your team size.
- More named customers. Topic lists 9 customers vs Phind's 0, including Magoosh, Quizlet, BiggerPockets.
- What users praise most. Cuts content research time 45-50% by auto-parsing the top 30 Google results for headings, questions, and keyword targets.
Switching from one to the other
From Phind to Topic
Export your saved queries and prompt panels from Phind (most tools support CSV export). Most Topic setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Topic's data againstPhind's; one to two weeks of full reconciliation before you cancel Phind. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.
From Topic to Phind
Same flow in reverse. Export from Topic, import to Phind. 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
| Phind | Topic | |
|---|---|---|
| Starts at (USD/mo) | $0/mo | $99/mo |
| Founded | 2022 | 2019 |
| Headquarters | San Francisco, CA | Toronto, Canada |
| Funding raised | ~$11M | — |
| AI platforms tracked | — | — |
| G2 rating | — | — |
| Named customers | — | 9 |
| 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.
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.
Topic — what users praise
- Cuts content research time 45-50% by auto-parsing the top 30 Google results for headings, questions, and keyword targets.
- Simple Starter at $99/mo and $7 intro pack make it the cheapest serious entry point versus Surfer, Clearscope, and MarketMuse.
- Magoosh case study shows 300%+ year-over-year new-user growth on a single optimized post.
- Used by BiggerPockets, Magoosh, Quizlet, Amerisleep, Elementor, TrustRadius, and WSI.
- Native Google Docs add-on and WordPress plugin keep writers in their existing tools.
Topic — what users complain about
- Brief and optimization quotas (10 to 50 per month) are tight for agencies running multiple clients.
- No native AI article generator at the level of Surfer AI or Frase Pro; Topic positions as briefs, not full drafts.
- Pricing changes infrequent and no free trial beyond the $7 intro pack.
- Acquired by CafeMedia/Raptive in September 2021; roadmap pace has slowed compared to standalone Surfer or Clearscope.
- Keyword research tool is lighter than Ahrefs or Semrush; users still need a separate research stack.
A third option
Both Phind and Topicare 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, Phind or Topic?
Honestly: neither one fully solves the problem. Phind and Topic 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 Phind and Topic cost?
Phind starts at $0/mo. Topic starts at $99/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 Phind and Topic actually improve your AI visibility, or just measure it?
Both Phind and Topic 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 Phind and Topic?
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.