Tellr gets you cited by doing the work that earns citations, while AthenaHQ shows you where you are and are not cited and points your team at the gaps. Tellr is a managed program that writes and publishes answer-shaped content, places Reddit replies and tracks Google AI Overview citations every week. AthenaHQ is a self-serve platform that monitors ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and AI Mode, and gives your team recommendations to act on. So Tellr vs AthenaHQ turns on whether you need a better instrument or need the citations produced for you. This October 2026 comparison judges both on the criteria that decide whether a brand appears in an answer: engine coverage, how a citation is defined, how fast insight becomes published work, governance, and the type of team each one suits.
Key takeaways
- Tellr is a managed earned-visibility program that produces the content, Reddit replies and ad creative that earn citations, while AthenaHQ is a self-serve platform built mainly to track AI visibility.
- AthenaHQ covers more AI engines prompt by prompt, including ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and AI Mode, with daily data refresh.
- Tellr tracks weekly which domains Google and its AI Overviews cite for each category query, and labels each one as your site, a competitor, Reddit, social, review sites or references.
- AthenaHQ suits teams that have in-house writers and SEO capacity to act on its recommendations, while Tellr suits enterprises spending $10k+ a month that want the work done under approvals and an audit trail.
- A mention without a link and a linked citation are different outcomes, so any evaluation of either option should track source URLs and citation share over time, not mentions alone.
| Tellr | AthenaHQ | |
|---|---|---|
| What it is | Managed earned-visibility program run on Tellr's own platform | Self-serve AI search visibility tracking and GEO platform |
| Who does the work | Tellr's senior team writes, publishes and places | Your team, guided by recommendations |
| Measurement | Weekly Google and AI Overview citation share by domain type | Daily mentions, citations, share of voice, sentiment, position, AI referral traffic |
| Pricing model | Per engagement, scoped on a demo call, no free trial | Credit-based tiers, permanent free Essential tier |
| Best for | Enterprises ($500M+ or 200+ employees) spending $10k+ a month on marketing | Teams with in-house capacity to run their own GEO program |
How to judge which one "gets you cited"
The fair test is whether your brand's citation share rises across engines over several weeks. How much data one dashboard shows compared with the other is a separate question. A tracker can report more precisely without changing a single answer. A production program can change answers without reporting every assistant. So judge both by the citations they produce.
The metrics that matter
- Citation frequency: how often your brand or pages are cited for a fixed set of prompts.
- Citation share: your citations as a percentage of all citations for those prompts, against named competitors.
- URL-level attribution: which exact page earned the citation, so you know what to build more of.
- Mention vs linked citation: a brand named without a link builds recognition, and a linked source gives explicit attribution. Count them separately.
- Trend and engine spread: movement week over week, across ChatGPT, Perplexity and Google AI Overviews at minimum.
A test plan you can run
- Build a prompt set of 40 to 60 buyer queries split into four groups: branded, non-branded informational, high-consideration B2B comparisons and long-tail expert questions. For example, a cloud security vendor might use "best CSPM for multi-cloud", "Wiz alternatives for mid-market" and "how to reduce IAM drift in AWS".
- Record a baseline for each prompt on each engine. Note who is cited and whether the link points to your site, a competitor, Reddit or a review site.
- Run each prompt three times per measurement window. AI answers vary between runs, so log a citation as "present" only if it appears in at least two of three runs.
- Measure weekly for 8 to 12 weeks. Shorter windows mostly capture noise.
- Attribute changes to specific actions, such as a published comparison page, a Reddit reply or a refreshed article. Without that link, you cannot tell which input moved the number.
Weighting
| Criterion | Weight | Why |
|---|---|---|
| Ability to produce citation-earning work | 35% | Citations follow published pages and third-party discussion |
| Citation measurement quality (URL-level, by source type) | 25% | Tells you what to build next |
| Engine coverage | 15% | Buyers use several assistants |
| Governance and brand safety | 15% | Enterprise brands cannot publish unreviewed claims |
| Integrations and reporting | 10% | Determines whether results reach stakeholders |
Ask both vendors for their definition of a "citation" before any demo. AthenaHQ reviewers on G2 say the difference between citation rate and mention rate is not always clear inside the product. Settle the definition up front, or your baseline and your week-eight numbers will not be comparable.
Tellr vs AthenaHQ side by side
AthenaHQ diagnoses AI visibility, and Tellr runs the program that changes it. They cover different halves of the same problem.
| Capability | Tellr | AthenaHQ |
|---|---|---|
| Citation tracking | Weekly: organic results, Google AI Overview and discussions block, with cited domains labelled by type | Daily: mentions, citations, share of voice, sentiment, position, AI referral traffic |
| AI answer monitoring | Google and AI Overviews tracked; content written to be quoted by ChatGPT, Perplexity, Gemini, Claude and AI Overviews | ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, AI Mode |
| Data collection | Tellr's own search-data pipeline, no consumer panel | Primarily API integrations; some sources mention browser sessions and panel data |
| Workflow depth | Writes and publishes content, places Reddit replies, produces ad creative | Action Center and Recommendation Engine; some sources describe content and outreach features |
| Reporting | Weekly digest plus monthly program review | Dashboards, Slack reports, Looker Studio, Tableau, Power BI, Looker |
| Setup | A few weeks to map the category and agree the brief | Self-serve; teams build tracked prompts themselves |
| Ideal customer | Companies worth $500M+ or with 200+ employees, $10k+ monthly marketing spend | Teams with in-house content and SEO capacity, from free tier upward |
Tellr
Tellr is a premium earned-visibility agency for enterprises, run on its own platform by a senior team. It combines four jobs most companies buy from separate vendors: Reddit marketing, content built for AI search, AI and search visibility tracking, and paid-media creative. Measurement exists to decide what to make next, so the weekly citation report feeds straight into the next comparison page or Reddit reply. Tellr is a poorer fit for a team that wants a dashboard to run itself, or for a launch due in three weeks.
- Comparison pages, reviews and answer-shaped articles built from your knowledge base and real user reviews, published to your CMS
- Subreddit mapping, a daily thread radar and guideline-checked replies behind an approval gate
- Weekly citation share by source type with week-over-week movement
- Brand brief, claim guardrails, risk filtering and an audit trail
AthenaHQ
AthenaHQ was founded by engineers from Google Search and DeepMind. It tracks how brands appear in AI answers and supports GEO work. AthenaHQ holds a 5/5 rating on G2 from 48 reviews as of October 2026. Reviewers praise the Action Center for pointing to specific content gaps, the tracking of four major LLMs in one place, and same-day support. For more on its trade-offs, see our full AthenaHQ review.
- Broadest engine coverage of the two, with daily refresh
- Regional and multi-market segmentation, which G2 reviewers value for retail and real estate brands
- The prompt library has no industry templates, so G2 reviewers say teams build tracked prompts from scratch
- Credit-based pricing is hard to budget when tracking many prompts, regions or models, according to third-party reviews
- Generated content can need heavy editing and may feel generic, according to third-party reviews
Citation tracking: what each one actually counts
AthenaHQ counts more signals across more assistants, while Tellr counts fewer signals and ties each one to a source type and an action.
AthenaHQ measures brand mentions, citations, share of voice, sentiment, position and AI referral traffic, refreshed daily. It is the stronger instrument if your question is "what does Claude say about us today, and how does that compare to Copilot?" Its blind spot is the prompt set. You design it, so coverage is only as good as the prompts your team writes.
Tellr tracks the category's queries every week on Google, covering organic results, the AI Overview and the discussions block. For each query it shows which domains are cited and labels each one as your site, a competitor, Reddit, social, review sites or references. That labelling tells you why you are missing from an answer. If Reddit threads and G2 pages are cited for "best consumer VPN for families", the fix is a Reddit presence and review-site work rather than another blog post. Tellr also reports which Reddit replies are still live and where shipped articles rank and get cited.
Mentions or citations? AthenaHQ reports both, which helps if brand recall is the goal. Tellr reports cited domains by type, which helps if you need to know whose page earned the answer. Many enterprise teams find the second view easier to turn into a content plan.
Takeaway: choose AthenaHQ for breadth of engines and daily granularity; choose Tellr when you need citation data that maps directly to the next piece of work.
Turning data into citations: the work after the dashboard
Citations come from published pages and third-party discussion, so the deciding factor is who produces that material and how fast.
With AthenaHQ, the Action Center and Recommendation Engine tell your team which content gaps to close. G2 reviewers say this beats interpreting raw dashboards. Some sources describe AthenaHQ as covering briefs, articles, page optimization and outreach, while third-party reviews say its generated content can need heavy editing and its outreach suggestions read as generic. Lower-tier plans lock out some advanced features such as the Recommendation Engine, according to G2 reviewers. Your writers and SEO leads still do most of the work.
With Tellr, Tellr's team produces the fix. It writes comparison pages, product reviews and answer-shaped articles from your knowledge base and real user reviews, and pushes them to your WordPress site. It also places Reddit replies behind an approval gate and produces ready-to-run ad creative. For how those answers get earned, read how to get your brand mentioned in ChatGPT.
Formats that tend to earn citations
- Comparison pages that answer "X vs Y" and "X alternatives" queries in a quotable structure
- Review-style pages grounded in real user feedback
- Answer-shaped articles that lead each section with a direct, self-contained answer
- Reddit replies in threads that Google already surfaces in its discussions block
Both options still need human editing. With AthenaHQ, your editors review generated drafts. With Tellr, drafts are checked against the brand brief and claim guardrails, and your team approves before anything goes live.
Takeaway: AthenaHQ shortens the path from data to a to-do list; Tellr shortens the path from data to a published, cited page.
Reporting, integrations and governance
AthenaHQ offers wider integrations and documented enterprise controls, while Tellr's governance covers what gets published in your name.
| Area | Tellr | AthenaHQ |
|---|---|---|
| CMS | Publishes directly to WordPress | WordPress, Shopify, Webflow, Contentful, Sanity, Framer, Payload CMS, Wix |
| Analytics | Does not need GA4 or Search Console access to run | GA4 and Google Search Console |
| BI and alerts | Weekly digest, monthly review | Slack, Looker Studio, Tableau, Power BI, Looker |
| API and MCP | API access; "Tellr for Claude" MCP server for plain-language questions about the program | API access; MCP support for ChatGPT and Claude |
| Governance | Brand brief, claim guardrails, approval gate, risk filtering, audit trail, takedown support, read-only viewer roles, a workspace per brand | SSO, user roles, approval workflows, audit trail, multi-brand and multi-region workspaces, SOC 2 |
There are two caveats. Tellr's site does not publish SSO or SOC 2 claims, so ask on the demo call. G2 reviewers say AthenaHQ's multi-brand management gets tedious for larger companies without a consolidated view. For stakeholder reporting, AthenaHQ feeds BI tools a CMO already uses. Tellr's weekly digest reports what shipped, where it was placed and whether citation share moved.
Takeaway: if your security review and BI stack drive the decision, AthenaHQ documents more; if your risk is what a vendor posts on Reddit under your brand, Tellr's approval gate and audit trail address it directly.
Testing scenarios by query type
Each query type rewards a different kind of work, so run the comparison across all four rather than on branded prompts alone.
| Query type | Example | What usually gets cited | Where each option helps |
|---|---|---|---|
| Branded | "Is [brand] good for SOC 2 compliance?" | Your site, review sites, Reddit threads | AthenaHQ tracks sentiment and accuracy; Tellr publishes review pages and answers threads |
| Non-branded informational | "How does CSPM work?" | Explainers, references, vendor blogs | AthenaHQ flags gaps; Tellr writes the answer-shaped article |
| High-consideration B2B | "Best AI security platform for 500-person teams" | Comparison pages, review sites, Reddit | Tellr's comparison pages and Reddit program; AthenaHQ's competitor share of voice |
| Long-tail expert | "Detect shadow AI use in Google Workspace" | Niche forums, Reddit, detailed how-tos | Tellr's thread radar finds live discussions; AthenaHQ needs these prompts written into its library |
Takeaway: AthenaHQ measures all four types across many engines. Tellr's production does the most in the high-consideration and long-tail rows, where Reddit and comparison pages dominate.
Which one to choose
Choose AthenaHQ if your team will do the work itself, and choose Tellr if you need the work done to enterprise standards.
Choose AthenaHQ if
- You have writers, an SEO lead and the hours to act on recommendations every week
- You need prompt-level monitoring across ChatGPT, Gemini, Claude, Copilot and AI Mode, refreshed daily
- You want results piped into Looker Studio, Tableau or Power BI
- You are a smaller team, or want to start on the free Essential tier (300 credits, 5 AI surfaces)
Choose Tellr if
- Your company is worth $500M+ or has 200+ employees and spends $10k+ a month on marketing
- Competitors appear in Reddit threads and AI Overviews for your category and you do not
- You need content, Reddit and ad creative run as one program with approvals and an audit trail
- You would rather pay for citations earned than for prompts tracked
Some enterprise teams run both, using a tracker for engine-wide monitoring and Tellr to produce the pages and placements that move it. The same split applies to other trackers, as covered in tracking AI visibility versus earning it.
The two are priced on different logic. AthenaHQ's credits pay for measurement, and the return depends on your team converting insights into pages. Tellr is priced per engagement and scoped on a demo call, and the return comes from the citations and pipeline those pages and replies win. For a small team, AthenaHQ is the sensible choice. For an enterprise brand losing shortlists to competitors that already appear in the answers, the Tellr vs AthenaHQ decision comes down to whether you want to watch the gap or close it.
FAQ
Which one actually gets you cited: Tellr or AthenaHQ?
Tellr is built to get citations by producing the work that earns them, including comparison pages, answer-shaped content and Reddit replies. AthenaHQ is stronger at tracking AI visibility across more engines, but your team still needs to create and publish the work that changes citation share.
What is the main difference between Tellr and AthenaHQ?
Tellr is a managed earned-visibility program that writes, publishes and places citation-earning assets for you. AthenaHQ is a self-serve GEO and AI visibility platform that monitors engines like ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and AI Mode, then gives your team recommendations to act on.
How should teams measure whether either platform is working?
The article recommends tracking citation frequency, citation share, URL-level attribution, mention versus linked citation, and trend across engines over 8 to 12 weeks. The fair test is whether your brand’s citation share rises for a fixed prompt set, not which dashboard shows more data.
Who is AthenaHQ best for?
AthenaHQ suits teams with in-house writers, SEO support and time to act on recommendations each week. It is a better fit when you want prompt-level monitoring across many AI engines, daily refreshes and integrations with BI tools like Looker Studio, Tableau and Power BI.
Who is Tellr best for?
Tellr is best for enterprise brands that want the citation-earning work done for them under approvals and an audit trail. It especially fits companies with larger marketing budgets that need one program to handle content, Reddit placement, reporting and governance together.