Tellr vs Profound is a choice between earning AI visibility and tracking it. Profound is a self-serve enterprise platform that measures how a brand appears across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and AI Mode. Tellr is a managed earned-visibility agency. Its senior team produces the Reddit replies, content and ad creative that change those answers, with client approvals and an audit trail. Most CMOs weighing tellr vs profound in October 2026 are really deciding who does the work: their own team or a vendor's senior team.
Key takeaways
- Profound is a self-serve AI search visibility platform that a brand's own team operates across seven AI answer surfaces.
- Tellr is a managed program that publishes content, places Reddit replies and produces ad creative, and it uses weekly tracking to decide what to make next.
- Being cited in an AI answer is not the same as being recommended, so visibility metrics should be read alongside the evidence behind each answer.
- Profound suits teams with in-house capacity to act on data, while Tellr suits teams that want the execution handled under governance.
What Tellr and Profound actually are
Profound is a measurement platform that can also generate fixes. Tellr is an execution program that measures in order to steer its own work.
Profound (tryprofound.com) tracks how brands appear in AI-generated answers, including citations, sentiment, competitor share of voice and AI crawler activity. Its agentic workflows produce content briefs, drafts, page rewrites, outreach materials and ad creative. Our Profound review covers the platform in depth.
Tellr runs one governed program across four jobs that most companies buy from separate vendors:
- Reddit: subreddit mapping, a daily thread radar, and guideline-checked replies that go out only after approval.
- Content: comparison pages, reviews and answer-shaped articles, built from the brand's knowledge base and real user reviews and published to the CMS.
- Answer visibility: weekly tracking of who Google and its AI Overviews cite for the category's queries.
- Paid media: category ad intelligence and ready-to-run creative.
Tracking AI visibility vs earning it, side by side
Tracking measures whether a brand shows up. Earning changes the evidence AI engines draw on when they decide what to say.
| Question | Tracking (Profound's core) | Earning (Tellr's core) |
|---|---|---|
| Main output | Visibility data, benchmarks and generated assets | Published pages, live Reddit replies, ad creative |
| Engines | ChatGPT, Perplexity, Gemini, Claude, Copilot, AI Overviews, AI Mode | Tracks Google and AI Overviews; writes content to be quoted by ChatGPT, Perplexity, Gemini, Claude and AI Overviews |
| Third-party evidence | Shows which sources get cited | Places replies in the Reddit threads those answers cite |
| Integrations | GA4, Search Console, WordPress, Sanity, Slack, BI tools, API, MCP server | WordPress publishing, API, "Tellr for Claude" MCP server, weekly digest |
For a wider view of the tracking market, see our guide to AI visibility tools for tracking your brand in AI answers.
What each one measures, and what visibility metrics miss
Profound measures how often and how favourably a brand appears in AI answers. Tellr measures which domains win each query's citations and whether its own work is landing.
- Profound: brand mentions, citation share, share of voice, sentiment, position within the answer and AI referral traffic, plus a Profound Index that updates weekly.
- Tellr: weekly citation share per tracked query, labelled as your site, a competitor, Reddit, social, review sites or references, with week-over-week movement. It also reports Reddit threads found, replies placed and still live, and where shipped articles rank and get cited.
Neither set tells you whether the AI recommended you, and a brand can hold high citation share and still lose. For example, an AI answer to "best cloud security platform for a 2,000-person fintech" might cite your docs three times but name a competitor first, because Reddit threads and review sites describe the competitor as easier to deploy. Read visibility by prompt intent:
- Unbranded discovery ("best X for Y"), where recommendation share matters most
- Alternatives and comparison ("X vs Y", "alternatives to X")
- Pricing and trust or risk prompts ("is X worth it", "X complaints")
- Branded prompts, where accuracy and sentiment matter more than presence
Track the same prompt set weekly and read the trend. AI answers drift as engines re-crawl sources, so one week's answer is a weak signal.
Why brands get cited but not chosen
The usual cause is independent evidence that is thinner or vaguer than a competitor's. A tracker can show this gap, but it cannot fill it alone.
| Failure mode | What fixes it |
|---|---|
| Weak third-party validation | Credible, guideline-compliant participation in the Reddit threads AI answers cite |
| Unclear differentiation | Comparison pages that state who each product suits |
| Competitor narrative repetition | Your own comparison and review content, plus Reddit presence on the same threads |
| Shallow owned documentation | Answer-shaped articles on use cases, implementation and limitations |
| Pricing ambiguity | Pricing explainers that AI engines can quote |
Owned content fixes the differentiation and documentation rows directly. Third-party evidence, such as forums and reviews, is harder to influence and usually decides the recommendation. Profound's citation analysis shows which sources matter, and its workflows can draft owned content. Tellr covers both owned and third-party evidence, including Reddit, in one program. Our enterprise guide to generative engine optimization explains the content side.
Profound: strengths and trade-offs
Profound covers a broad set of AI engines and analyses sources in depth. In return you pay a high price, face a learning curve and need in-house effort to act on its data. Pricing is custom for enterprises. Profound holds a 4.6/5 rating on G2 from 1,124 reviews as of October 2026, and reviewers also credit its fast feature shipping, support and Profound University training.
Strengths
- Seven AI surfaces covered through API, browser and panel collection
- Prompt tracking, citation and source analysis, and competitor benchmarking that reviewers rate highly
- A 7-day free trial with 50 prompts per day across ChatGPT, Gemini and Google AI Overviews
Trade-offs reviewers raise most often
- Reviewers call the pricing expensive, and many useful features sit on the Enterprise plan
- There is a real learning curve, and some users struggle to turn the data into next steps without internal processes
- It does not replace keyword research, technical SEO or implementation tools
- Some recent Reddit feedback questions the reliability and legal risk of scraping-based collection
Tellr: the managed route to earned visibility
At Tellr, a senior team produces the replies, pages and creative as one governed program. It does not use upvote buying, aged accounts or fake reviews. It works with marketing teams spending $10k+ a month at companies worth $500M+ or with 200+ employees. Each engagement is scoped on a demo call, and smaller teams are pointed to self-serve tools. Teams that want a tool to operate themselves will find a managed program the wrong fit. Onboarding follows a fixed schedule:
- Week one: a category map of the threads, queries and AI answers that matter.
- Week two: an agreed brief and guardrails.
- From then on: work ships every week, with weekly reporting and a monthly program review.
How to choose between Tellr and Profound
Choose Profound if your team can run AI visibility in-house, and choose Tellr if you want a senior external team to do the work under your approval.
Ask this first: when the data shows a competitor winning a Reddit thread or an AI Overview, who on your team will write the reply, the comparison page or the creative this week?
The two can also run together, with Profound giving a wide view across assistants and Tellr doing the earning work. In that setup, tellr vs profound comes down to which gap costs you more: knowing where you are missing, or getting into the answers.
FAQ
What is the main difference between Tellr and Profound?
Profound is a self-serve platform for measuring how your brand appears across AI answer engines, while Tellr is a managed program that produces the Reddit replies, content and ad creative needed to improve that visibility.
Can Profound improve AI visibility on its own?
Profound can show where your brand is winning or losing and generate assets like briefs, drafts and rewrites, but your team still needs to act on that data. The article positions Profound primarily as a tracking platform rather than a done-for-you execution service.
Why can a brand be cited in AI answers but still not be recommended?
Citation share and recommendation are not the same. A brand may be cited often, but lose the recommendation if competitors have stronger independent evidence in Reddit threads, review sites or comparison content, or if they are described as easier to deploy or better suited to the use case.
Who should choose Tellr instead of Profound?
Tellr suits teams that want a senior external team to handle execution under governance and approval. Profound suits teams that have the internal capacity to monitor AI visibility data and turn it into content, Reddit participation and creative themselves.
Can Tellr and Profound be used together?
Yes. The article says they can complement each other, with Profound providing broad tracking across AI assistants and Tellr doing the work to earn better answers through content, Reddit replies and creative.