Content production, sourced from real conversations
Thin AI content doesn't rank, and polished copy in your own words doesn't convert. What works is built from primary sources: verbatim quotes, the language searchers actually use, and proof you didn't write yourself. Octolens collects all three from 15+ platforms — for your writers in the app, and for your agents through the API and MCP.
No credit card • 2-min setup • 5k free mentionsWe evaluated four tools in this category last quarter — happy to share the spreadsheet if anyone wants the gory details
u/stack_curious · Reddit
Honestly did not expect the migration to take one afternoon. Whole team was on the new setup by Friday.
shipfast_dev · X
Serious question: how are small teams handling review monitoring without paying enterprise prices?
throwaway_cto · Hacker News
The onboarding checklist alone is worth it. We copied the pattern for our own product.
Priya Shah · Head of Growth · LinkedIn
Trusted by brands people talk about online
"We're constantly discovering new clients and use cases we weren't aware of."
Why most content production runs on empty
Anyone can generate words now. What can't be generated is evidence — and evidence is what ranking, converting content is made of.
AI content is reconstructable, so it doesn't rank
If a language model could write your page from a prompt, Google has no reason to surface it and AI engines have no reason to cite it. Verbatim quotes from real threads are the part no competitor can copy and no model can hallucinate.
Your copy speaks your language, not theirs
Teams write "unified data layer"; customers write "one place to see everything." When headlines, ads, and SEO pages borrow the words from real conversations, they read like the searcher's own thought.
Social proof happens where you're not looking
The best testimonials are posted to Reddit and X without tagging you, screenshot-worthy for a week, then buried. Untracked praise is marketing budget you already earned and never spent.
Topic research is guesswork without the threads
A content calendar built in a brainstorm answers questions nobody asked. The questions people post — and repost — in public are a ranked list of what your next piece should cover.
From public threads to publishable material
Track the conversations that produce material
Your brand, your competitors, and your category terms. Octolens collects matching posts across 15+ platforms and keeps the archive searchable — plus a Search API for on-demand digs into any topic.
AI sorts the stream into source types
Every mention gets tags, sentiment, and a relevance score — so praise, questions, comparison threads, and complaints arrive pre-sorted. Your quote database builds itself while you sleep.
Where publishable material comes from
Content-grade source material is specific: real people naming real problems, prices, and preferences in their own words. These are the keywords that surface it.
What keywords surface content material?
Category and problem terms
The topic itself, in searcher phrasing. Recurring questions become guides; recurring confusion becomes glossary pages; recurring workarounds become the "common mistakes" section only you have.
Competitor and alternative phrases
Evaluation threads are the raw material for comparison and alternatives pages — real complaints about pricing, real switching stories, real feature gaps, all quotable with a link.
Your own brand and products
Untagged praise is testimonial inventory; untagged criticism tells you which objections your content needs to answer. Both are messaging research you can't buy.
Recommendation requests
"What do you use for X" threads show which tools get named, in what words, with what caveats — the exact structure and language a roundup page should mirror.
Tags turn a mention stream into a quote database
The difference between scrolling feeds and doing content research is retrieval. Octolens labels every mention with tags, sentiment, and relevance, so "positive mentions about onboarding, last 90 days" or "comparison threads naming us and a competitor" is a filter, not an afternoon. Every quote keeps its author, platform, and link — verbatim and verifiable, which is exactly what E-E-A-T and AI-search citation reward.
Because the same structured data flows through the app, Slack, the API, and MCP, a writer browsing a praise feed and an agent drafting an alternatives page work from the same source-linked record. Nobody quotes from memory.
Where does the material go?
Slack →
A praise channel that collects social proof while the team works.
A weekly research digest: questions, comparisons, and quotable threads.
Webhooks →
Pipe tagged testimonials straight into your CMS, wall of love, or asset library.
API & MCP →
Let agents mine quotes on demand and draft content with sources attached.
Content workflows teams run on Octolens
The same mention stream feeds five different content jobs — from SEO pages to the wall of love.
SEO pages built on verbatim quotes
Our open-source seo-page-builder pipeline pairs search data (what to build) with Octolens quote mining (why it ranks): 6–10 verbatim, source-linked quotes per page. Primary sources are the moat — the part of the page no competitor can copy.
Copy in the customer's words
Read how prospects actually describe you and the problem, then lift that language into headlines, ads, and landing pages. It's how Tally shaped its homepage messaging and how Juicebox caught its positioning drifting from how the market talked.
A wall of love that fills itself
Praise gets tagged automatically and routed to one place. Instead of hunting screenshots the week before a launch, you maintain a running testimonial inventory — with authors and links intact.
Customer stories you didn't know existed
Big-name usage, unexpected use cases, and case-study candidates surface as mentions long before anyone fills in a form — Tally found out OpenAI was a user by spotting a post. The best story in your pipeline is usually one nobody sent you.
A content calendar from real questions
Recurring questions rank your next guides by demand. Failed-approach threads become "common mistakes" sections. Objections in comparison threads become the FAQ your sales team wishes existed.
Agents that draft with sources
Through MCP and the API, an agent can pull the relevant quotes, check what language real users chose, and produce a draft with citations attached — so human editing time goes into judgment, not research.
What primary-source content changes
6–10
verbatim, source-linked quotes mined per page in our open-source SEO pipeline
octolens/seo-page-builder
1 call
to the Search API covers Reddit, X, Hacker News, and every other platform at once
Octolens Search API
$0
extra for the API, MCP, and webhooks that feed your content pipeline — included on every plan
Octolens pricing
Your next piece is already being written — in public
Real results from teams using Octolens
"Built on top of the Octolens API, I use Railway as a service to pipe all of the mentions to different channels. Then there's a cron job that does a daily digest for us."

"Wild AI-native onboarding experience. I literally entered zero input other than vercel.com to get my Octolens feed up and giving me mentions."

"A big part of our job is paying attention to what people are saying online - answering questions, correcting misunderstandings, and joining the conversation in real time."

"It's not about replying to everything. It's about showing up in the right conversations and doing it genuinely. Octolens helps us do that at scale."

"Developers tune out advertising, but they do talk online - and that's where our reputation is built."

"With my previous tool I'd maybe get through four to six a day. Now it's quadruple the amount of people I can actually respond to."

Finally, social listening with fair pricing
Pro
$159/month
Billed annually
- React faster & integrate with your workflows
- ✓15,000 mentions
- ✓10 keywords
- ✓Covers all socials & community platforms
- ✓Hourly refresh
- ✓API, Webhooks & MCP server
- ✓Slack & Email alerts
- ✓AI filters all mentions
For growing brands
Scale
$499/month
Billed annually
- Full visibility into your brand's reputation
- ✓50,000 mentions
- ✓40 keywords
- ✓Additionally covers podcasts, news, web & newsletters
- ✓Real-time refresh
- ✓API, Webhooks & MCP server
- ✓Slack & Email alerts
- ✓AI filters all mentions
For brands with communities
Enterprise
Custom
- Custom monitoring for multi-brand portfolios
- ✓Multiple workspaces
- ✓Unlimited mentions
- ✓Unlimited keywords
- ✓Custom AI agents
For viral brands
Need more mentions or keywords?
Every plan flexes with your volume: mentions beyond your plan's quota keep flowing and are billed at your plan's rate (from $0.01 per mention). Set a monthly spend cap or turn flex mentions off anytime in settings. Extra keywords from $5/month.
Frequently asked questions
It means treating public conversations as your research layer: mining verbatim quotes for SEO and comparison pages, borrowing the exact language customers use for copy, collecting untagged praise as social proof, and turning recurring questions into a demand-ranked content calendar. Octolens supplies that layer — monitoring 15+ platforms continuously, plus a Search API for on-demand digs — so every piece starts from evidence instead of a blank page.
Because they contain something that can't be generated. Search engines have little reason to surface a page a language model could reconstruct from a prompt; what wins commercial SERPs is depth plus primary sources — real complaints, real prices, real switching stories, each linked to a live post. That material also supplies the searcher's own phrasing, which is what your headings and FAQs should be written in anyway.
Yes, in the way that actually works: AI engines synthesize and cite from the public record, and they favor content that is specific, sourced, and consistent with what real users say elsewhere. Pages grounded in verbatim, linkable quotes are more citable than generic marketing copy. Octolens also shows you the conversations that shape AI recommendations about your category — see our AI Visibility page for that side of the loop.
Quoting short excerpts of public posts with attribution and a link to the original is standard editorial practice — it's how journalism and every roundup on the internet works. Keep quotes verbatim, mark truncations, link the source, and never present paraphrase as quotation. For marketing assets like a testimonial wall, the bar is higher: many teams ask the author first, which doubles as a relationship-building touchpoint.
Ideation tools remix search suggestions and existing articles — derivative input produces derivative output. Octolens gives you the layer underneath: the actual conversations where demand, objections, and language originate. You're not looking at what already ranks; you're looking at what people are asking for, complaining about, and recommending right now, with quotes you can use.
Track your brand, let the AI tag praise, and route that tag to a dedicated Slack channel or through a webhook into your CMS or testimonial library. The result is a running inventory of source-linked praise instead of a frantic screenshot hunt before every launch. Our agent skills library includes a ready-made "turn mentions into a wall of love" recipe.
Yes — this is one of the main reasons the API, MCP server, and webhooks are on every plan. In production workflows, agents search mentions on a topic, select quotable material, and produce drafts with sources attached; a human edits for judgment and voice. The open-source seo-page-builder skill on GitHub packages this whole pipeline — keyword research, quote mining via the Search API, fact verification, writing, and QA.
An open-source agent skill (github.com/octolens/seo-page-builder) that codifies how we build our own SEO pages: real search data decides what to build and how to structure it, the Octolens Search API supplies 6–10 verbatim user quotes per page, every fact is verified at write time, and the result ships as a draft for human review. It's the content-production use case, written down as a repeatable pipeline you can run with your own keys.
Reddit and Hacker News for candid evaluations, complaints, and recommendation threads; X for testimonials and hot takes; LinkedIn for B2B proof points; GitHub and Stack Overflow for developer pain points; YouTube and podcasts for long-form opinions worth excerpting. Octolens covers all of them with one keyword list, and the Search API queries them in a single call.
Both. Monitoring builds a continuously growing, tagged archive of mentions for your tracked keywords, and the Search API runs on-demand queries across platforms for any topic — including ones you don't track — with a time window you choose. Research-heavy work like a new comparison page typically uses both: the archive for your brand, fresh searches for the category.
Pro is $199/month with 15,000 mentions, hourly refresh, Slack and email alerts, and full data access — API, webhooks, and MCP included, which is everything the content workflows on this page use. Scale at $599/month adds real-time refresh, 50,000 mentions, news monitoring, and AI summaries. 7-day free trial, no credit card.
Track your brand and two competitors, and create a praise feed routed to a #social-proof Slack channel — that workflow pays for itself first. After a week, skim the archive for recurring questions and comparison threads: that's your next month of content, ranked by demand. When you're ready to systematize, run the seo-page-builder pipeline on your highest-intent keyword.
Related
The source material is already out there
Quotes, questions, praise, and comparison threads are being posted right now. Collect them, tag them, and hand your writers — and your agents — something real to work with.
No credit card required · API access on all plans · Cancel anytime