AI Visibility · Buyer’s Guide

AthenaHQ Alternatives in 2026: The Free Tier Is Real, and So Is the $295 Cliff

AthenaHQ does two things almost nobody else in AI visibility does: it gives away a real free tier with Claude included, and it states plainly what a credit is. It also jumps straight from free to $295 a month with no step in between, and it will not tell you what API access costs. Here is the arithmetic, and the alternatives.

By Linkeddit·Last updated July 28, 2026·14 min read

Key takeaways

  • AthenaHQ's own pricing page publishes three tiers: Essential free with 300 credits (described as $25 of free credit), Starter at $295/month for 3,600 credits, and custom Enterprise. Annual billing takes 17% off.
  • The credit definition is the clearest in this category: the vendor states plainly that 1 credit = 1 AI response. Most rivals leave you to work out what their unit means.
  • The free tier is real, not a trial: 300 credits, unlimited team members, and five engines including Claude — the engine most often sold as a paid add-on elsewhere.
  • Claude included free matters commercially. Otterly charges $29 for it on Lite, $109 on Standard and $439 on Premium, which takes a $489 Premium plan to $928.
  • The gap between free and $295 is the real problem. There is no tier in between, while Otterly ($29), HubSpot AEO ($50), ZipTie ($69) and Profound ($99) all sit inside it.
  • API access and extra credits are add-ons and the vendor does not publish the rate — its page says to contact them. Treat $295 as a floor if you need the API.
  • Per 1,000 AI responses, AthenaHQ Starter is $81.94 against $26.50 for ZipTie Pro and EUR 20.63 for Rankscale Pro. It is the most expensive verified option on that unit.
  • Disclosure: Linkeddit sells a competing product (Answer Radar, $99/month inside Compete, covering GPT, Gemini, Perplexity and Claude). We would still send a small team to AthenaHQ's free tier first.

1Which AthenaHQ alternative should you choose?

Almost everyone searching for an AthenaHQ alternative is doing it for one of two reasons: they outgrew a free tier and will not pay $295, or they need API access and cannot get a price for it. Those have different answers.

What is pushing you to lookWhere to look instead
You outgrew 300 free credits and $295 is too steepThis is the big one, and AthenaHQ leaves the whole range empty. Otterly is $29 for 15 prompts or $189 for 100, HubSpot AEO is $50 for 25 prompts, ZipTie is $69 for 500 AI searches, Profound is $99 for 50 prompts.
You need the most AI responses per dollarRankscale. Its EUR 99 Pro plan is rated at up to 4,800 AI responses against AthenaHQ Starter's 3,600 for $295 — roughly a quarter of the cost per response.
You need API access at a knowable priceRankscale includes a REST API from EUR 385 Growth. ZipTie includes CSV export on every tier. AthenaHQ sells API access as an add-on and does not publish the rate.
You need enterprise governanceAthenaHQ Enterprise is actually strong here (SAML/OIDC SSO, audit log, Tableau/Power BI/Looker), but it is custom-priced. Scrunch Enterprise is the closest comparable, and also unpriced.
You want more engines than nineRankscale publishes 11. Scrunch reaches 9 on Enterprise. Beyond that the field runs out.
The score never told you what to changeA category-wide complaint rather than an AthenaHQ one, and what Answer Radar is built for. Disclosure: that is ours, $99/month inside Compete.

Said plainly before the criticism: AthenaHQ’s free tier is the best way to start in this category, and we would recommend it over our own paid product to a team that has not yet established whether it has a problem. A vendor comparison page that cannot say that about a competitor is not worth reading.

2What does AthenaHQ cost, from its own page?

Free
Essential — 300 credits, 5 engines incl. Claude
$295/mo
Starter — 3,600 credits, 9 models
Custom
Enterprise — custom credits and controls
17% off
Annual billing discount
PlanPriceCreditsEnginesMembersNotable
EssentialFree ($25 of free credit)3005: ChatGPT, Perplexity, AI Overviews, Gemini, ClaudeUnlimitedPrompt and response analysis, sources and competitor insights, content recommendations, Athena AI agent.
Starter$295/mo (17% off annual)3,6008 shown, labelled “visibility across 9 models”; adds AI Mode, Copilot, GrokUnlimitedIntegrations, CSV export, on-page and off-page actions, content optimization agent. API access and extra credits are unpriced add-ons.
EnterpriseCustomCustomCustomCustomKnowledge Base and claim review, Oracle discrepancy detection, Athena Citation Engine, SAML/OIDC SSO, activity audit log, multi-region and multi-language, persona targeting, executive dashboard with Tableau, Power BI and Looker, white-glove setup.

Source: athenahq.ai/pricing, fetched July 28, 2026.

3Is the AthenaHQ free tier actually real?

Yes. It is a standing free tier rather than a time-limited trial: 300 credits, five engines including Claude, and unlimited team members. At one credit per AI response, that is 300 individual engine answers you can spend however you like.

Here is what 300 credits actually buys, which is the calculation the vendor does not do for you:

What you trackResponses per full runComplete runs from 300 credits
10 prompts across all 5 engines506
15 prompts across all 5 engines754
20 prompts across all 5 engines1003
30 prompts across all 5 engines1502
20 prompts, ChatGPT and Claude only407

Our arithmetic on the vendor’s stated 1 credit = 1 AI response.

That is genuinely enough to do useful work. Four complete rounds of a 15-prompt set is enough to establish a baseline, publish one fix, and re-measure to see whether it moved — which is the full loop, run once. For a team trying to answer “do we even have an AI visibility problem?” that is the right amount of tool.

What it will not give you is history, and history is the one thing in this category you cannot retrofit. Three hundred credits does not renew into a meaningful weekly cadence, so you get snapshots rather than a trend. Six months from now the question you will want answered is whether you are gaining or losing, and no tool can reconstruct a baseline it never recorded. If you use the free tier, export what you collect and keep it yourself.

The Claude inclusion deserves one more line, because it is the free tier’s sharpest feature. Claude is the engine most often sold as a paid extra in this category. Otterly charges $29 a month for it on Lite, $109 on Standard and $439 on Premium, meaning an Otterly Premium plan that needs Claude costs $928 rather than $489. AthenaHQ gives it away at zero. If your buyers are technical or developer-adjacent, that single fact may make the free tier more useful to you than a mid-priced plan elsewhere.

4The real problem: there is nothing between free and $295

AthenaHQ’s pricing has a hole in the middle. You go from $0 to $295 a month with no step in between, and that gap is exactly where most of this category lives. It is the single most common reason to look elsewhere, and it is not a criticism of the product so much as of the ladder.

Price pointWhat AthenaHQ offersWhat someone else offers there
$0300 credits, 5 engines incl. Claude, unlimited membersNothing comparable. AthenaHQ wins outright.
$29NothingOtterly Lite: 15 prompts across 4 engines
$50NothingHubSpot AEO: 25 prompts across 3 engines ($45 annual)
$69NothingZipTie Basic: 500 AI searches across 3 engines
$99NothingProfound Starter: 50 tracked prompts. Rankscale Pro at EUR 99: ~4,800 AI responses across 11 engines. Linkeddit Answer Radar: 4 engines incl. Claude, plus competitor intelligence
$159NothingZipTie Pro: 2,000 AI searches (6,000 responses)
$189NothingOtterly Standard: 100 prompts across 4 engines
$295Starter: 3,600 credits, 9 modelsOtterly Premium is $489 for 400 prompts; Profound Growth is $399 for 100

Read down that middle column and the problem is obvious. A team that has burned its 300 free credits and wants to keep measuring has to make a tenfold jump in commitment, or leave. Most leave, which is why this search term exists at all.

The honest counter-argument, which we will make on AthenaHQ’s behalf: $295 for 3,600 AI responses across nine models is not unreasonable in absolute terms, and the free tier means you have already proven the value before you are asked to pay. The problem is not the price of Starter. It is that the ladder has no rung for a team whose honest need sits at $50 to $100 a month, and that is a large share of the market.

5What AthenaHQ will not tell you the price of

API access and additional credits are add-ons billed on top of Starter, and the vendor does not publish either rate. Its own page states that they are optional add-ons billed on top of the Starter plan price, not included in it, and tells you to contact the company for add-on pricing.

Credit for the disclosure: saying clearly that something is an add-on is better than letting a buyer discover it during implementation, and most vendors here do not even do that. But the effect is the same trap that runs through this whole category, and AthenaHQ handles it worse than two rivals do:

VendorWhat is sold as an add-onIs the add-on rate published?
OtterlyClaude, Gemini and Google AI Mode engines; extra promptsYes, in full: Claude $29 / $109 / $439 by tier; Gemini and AI Mode $9 / $59 / $149; extra prompts $99 per 100
Ahrefs Brand RadarEach AI engine index; custom query packsYes: $199 per index, $699 for all, packs at $50 / $100 / $250
AthenaHQAPI access; additional creditsNo. The page says to contact them
RankscaleTop-up creditsNot published, but rollover up to 2x reduces the need for top-ups
ScrunchEverything (no price at any tier)No
Peec AIEverything (no price at any tier)No

The practical consequence: if API access is a requirement, treat $295 as a floor rather than a price, and get the add-on rate in writing before you commit. This matters most for agencies and for anyone who needs the data in an existing reporting stack, because in that case the API is not optional at all.

6Cost per 1,000 AI responses: where AthenaHQ looks expensive

Because AthenaHQ defines a credit as one AI response, it can be compared directly against the other two response-metered vendors. On that unit it is the most expensive verified option in the category: $81.94 per 1,000 AI responses, against $26.50 for ZipTie Pro and EUR 20.63 for Rankscale Pro.

Vendor and planPriceAI responses per monthCost per 1,000 AI responses
Rankscale Enterprise€78048,000€16.25
Rankscale Growth€38522,000€17.50
Rankscale Pro€994,800€20.63
ZipTie Pro$1596,000 (2,000 searches x 3 engines)$26.50
ZipTie Standard$993,000$33.00
ZipTie Basic$691,500$46.00
AthenaHQ Starter$2953,600$81.94

Prices and allowances are the vendors’, from their own pricing pages on July 28, 2026. The per-1,000 arithmetic is ours. Currencies are deliberately not interconverted, since Rankscale bills in euros from Austria and applying an invented rate would overstate the precision.

Two things stop that being the whole story, and both favour AthenaHQ. First, ZipTie’s cheap responses are only three engines deep — Google AI Overviews, ChatGPT and Perplexity, on every tier, with no Claude or Gemini at any price, and a single seat even on the $159 Pro plan. AthenaHQ’s responses span nine models with unlimited members. You are not buying the same thing.

Second, per-unit cost only matters if you use the units. If your honest need is 15 prompts across five engines checked monthly, that is 75 responses a month and the free tier covers four rounds of it. Cheap volume you never consume is not a saving, and the most expensive plan in this category is the one you bought and stopped opening.

7AthenaHQ vs Profound: the comparison people actually run

These two get compared constantly, including by AthenaHQ itself, which publishes its own AthenaHQ-vs-Profound page. They are aimed at different buyers: Profound is the more established enterprise platform with deeper prompt-level analytics, and AthenaHQ has the far more generous entry because Profound has no free tier at all.

AthenaHQProfound
Entry costFree — 300 credits, 5 engines incl. Claude$99/month Starter. No free tier
Next tier$295/month for 3,600 credits$399/month Growth for 100 tracked prompts
Unit1 credit = 1 AI response, stated plainlyTracked prompts. Cadence not capped on the page
Engines5 free, 9 on StarterNot stated on the pricing page
MembersUnlimited on both published tiersNot stated on the pricing page
Enterprise governanceSAML/OIDC SSO, audit log, BI export, persona targeting — Enterprise onlyCustom Enterprise tier
What is withheldAPI and extra-credit add-on ratesEngine coverage and cadence on the pricing page

The practical recommendation: start on AthenaHQ’s free tier regardless of which you eventually buy, because establishing a baseline costs nothing and it will tell you how many prompts and engines you actually need. Then compare Profound’s $99 against AthenaHQ’s $295 on that real requirement rather than on the headline.

8The AthenaHQ alternatives, compared

ToolEnginesPrice on the vendor's own pageWhat you gain vs AthenaHQWhat you give up
AthenaHQ5 free, 9 on StarterFree (300 credits); $295/mo (3,600)
Otterly4 included; Claude, Gemini, AI Mode as add-ons$29 / $189 / $489 (15 / 100 / 400 prompts)Fills the empty $29-$189 range, publishes plans, overage and every add-on rate, and gives predictable flat pricing.No free tier, five fewer engines at base, and Claude costs $439/mo at Premium ($928 all-in).
Rankscale11 (GUI and API)From €20; €99 / €385 / €780Widest engine list anywhere, roughly a quarter of the cost per AI response, credit rollover up to 2x, REST API from Growth.Billed in euros from Austria, so FX and possibly VAT apply. No free tier. Essentials allowance not published.
ZipTie3 on every tier$69 / $99 / $159 (500 / 1,000 / 2,000 AI searches)Cheapest paid entry, CSV export on every plan, a third of the cost per response.Three engines at any price — no Claude or Gemini at all — and one seat on every tier including $159 Pro.
ProfoundNot stated on the pricing page$99 Starter (50 prompts); $399 Growth (100)The $99 rung AthenaHQ lacks, and the deepest enterprise analytics in the category.No free tier, and the pricing page states neither engine coverage nor check cadence.
HubSpot AEO3 (ChatGPT, Gemini, Perplexity)$50/mo, or $45 annually (25 prompts)Cheapest verified paid entry, and trivial to add if you already run HubSpot.25 prompts across 3 engines is a small sample, and it is still labelled beta.
Scrunch4 at entry, 9 on EnterpriseNot rendered at either tierComparable Enterprise engine range, plus SAML/OIDC SSO and an Agent Experience Platform.No published price at all, and entry is capped at 1 country, 2 languages, 1 brand workspace.
Linkeddit Answer Radar4 (GPT, Gemini, Perplexity, Claude)$99/mo inside CompeteSits in the gap AthenaHQ leaves, includes Claude, and closes the loop: captures the cited sources behind a loss, drafts a fix from that evidence, then re-measures.Five fewer engines than AthenaHQ Starter, no free tier, and no Google AI Overviews claim.

9Do the free version first — including AthenaHQ's

Under roughly twenty prompts, a spreadsheet plus AthenaHQ’s free tier beats every paid plan on this page, ours included.

For now, many brands are better off just using a spreadsheet and manually reviewing AI answers for a small set of queries.
Practitioner, via r/SEO
  1. Write down the commercial questions a buyer would actually ask an assistant about your category. Fewer than twenty for most teams, and include the ones you expect to lose rather than only the ones you expect to win.
  2. Ask each engine twice, once with web search on and once off. That distinguishes durable training-data presence from a temporary live-retrieval hit, which is the distinction almost no dashboard labels.
  3. Record who was recommended and which sources were cited. The cited sources are the actionable part; the score is not.
  4. Extract the underlying search query each engine ran. Claude usually names it, Perplexity exposes it under Steps, and you can ask ChatGPT what it searched for. Track those in the rank tracker you already pay for, tagged as LLM-sourced, and cross-check volume in Google Search Console.
  5. Spend AthenaHQ’s 300 free credits deliberately rather than exploring. Four complete rounds of a 15-prompt set gets you a baseline, a published fix, and a re-measurement — the whole loop, once. Export everything before the credits run out.

This breaks down past roughly twenty to thirty prompts, when you need history you did not think to record, or when several people need the same view. That is the point to buy something — and at that point the $295 cliff is a real question rather than a hypothetical one.

10How to choose

If this is youDo this
You have not yet established whether you have a problemAthenaHQ's free tier. Best free offer in the category, Claude included, and we would say so even though we sell a competitor.
You burned the free credits and $295 is too muchOtterly at $29 or $189, HubSpot AEO at $50, ZipTie at $69, or Profound at $99. The gap AthenaHQ leaves is crowded with good options.
You want maximum AI responses per unit of spendRankscale, at roughly a quarter of AthenaHQ's cost per response, with 11 engines and credit rollover. Accept euro billing.
You only care about ChatGPT, Google AI Overviews and PerplexityZipTie from $69 — but check the one-seat-per-tier limit before you commit.
You need API accessGet AthenaHQ's add-on rate in writing first, or choose Rankscale, which includes a REST API from EUR 385 Growth.
You need SSO, audit logs and BI exportAthenaHQ Enterprise genuinely covers this, but it is custom-priced. Budget for a procurement cycle, not a card payment.
Your buyers research in ClaudeAthenaHQ's free tier includes it, which is unusual. So does Answer Radar at $99. Otterly charges $439/month for it at Premium.
The score never changes what you doNo tracker closes that loop. Pick something that shows the cited sources behind a loss and re-measures after you act.

Measure the gap, then close it

Answer Radar measures where AI engines recommend a competitor instead of you across GPT, Gemini, Perplexity and Claude, shows the exact sources that shaped each answer, drafts a fix grounded only in that evidence, and re-measures the same question so you can see whether it moved. Included with Compete at $99 per month, alongside weekly competitor intelligence. It sits in the rung AthenaHQ leaves empty — but if you have not measured anything yet, use their free tier first.
See how Answer Radar works

Whatever you pick, decide up front what would make you cancel. The failure mode here is paying for a dashboard nobody opens. For the wider field, including Scrunch and Peec AI, the only two vendors that publish no price at all, see the Otterly vs Profound vs Peec AI pricing teardown and the best AI brand visibility tools in 2026.

Frequently asked questions

What is the best AthenaHQ alternative in 2026?+

It depends which limit you hit. If you outgrew the free tier's 300 credits but $295 a month is too big a jump, the gap is filled by Otterly at $29 for 15 prompts or $189 for 100, HubSpot AEO at $50 for 25 prompts across three engines, ZipTie at $69 for 500 AI searches, and Profound at $99 for 50 tracked prompts. If you need the most AI responses per unit of spend, Rankscale is far cheaper: its EUR 99 Pro plan is rated at up to 4,800 AI responses against AthenaHQ Starter's 3,600 for $295, which works out at roughly four times the cost per response. If the blocker is that API access and extra credits are add-ons whose rate AthenaHQ does not publish, Rankscale includes a REST API from its EUR 385 Growth tier and ZipTie includes CSV export on every plan. And if what you actually need is something that tells you what to change rather than what your score is, that is the gap Linkeddit's Answer Radar targets at $99 a month inside Compete.

How much does AthenaHQ cost?+

AthenaHQ publishes three tiers on its own pricing page. Essential is free and includes 300 credits, described as $25 of free credit, covering five engines: ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude, with unlimited team members. Starter is $295 a month for 3,600 credits across eight named engines plus additional models on request, which the page labels as visibility across nine models. Enterprise is custom-priced with custom credits. Annual billing takes 17 percent off. The unit is unusually clear for this category: the vendor states plainly that 1 credit equals 1 AI response. What is not published is the price of the add-ons, and the page says so directly, noting that API access and additional credits are optional add-ons billed on top of the Starter plan price and telling you to contact the company for add-on pricing.

Is the AthenaHQ free tier actually useful, or just a trial?+

It is a real free tier rather than a time-limited trial, and it is the most generous entry in this category. You get 300 credits, which at one credit per AI response means 300 individual engine answers, plus five engines including Claude and unlimited team members. To put that in perspective: if you track 15 buying questions across all five engines, that is 75 responses per full run, so 300 credits funds four complete rounds. That is enough to establish a baseline and see whether anything moves after you publish a fix. What it will not give you is a trend line over months, which is the thing you cannot retrofit later, because 300 credits does not renew into a meaningful ongoing cadence. Use it to answer the question of whether you have a problem at all, then decide whether the problem justifies $295 a month. We sell a competing product and we would still send a small team here first.

What does AthenaHQ not publish?+

Two things, and one of them matters a lot. The page states that API access and additional credits are optional add-ons billed on top of the Starter plan price and directs you to contact the company for add-on pricing, so the API rate and the top-up rate are both unknown until you get on a call. That is the same add-on-economics trap that runs through this whole category, except that where Otterly publishes its add-on engine rates in full and Ahrefs publishes its per-engine index price, AthenaHQ withholds the number. The second is Enterprise, which is custom-priced, though that is normal enough that it barely counts as a finding. Practically: if you need API access, treat the $295 sticker as a floor rather than a price, and get the add-on rate in writing before you commit.

Which AI engines does AthenaHQ track?+

Five on the free tier: ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude. Eight are shown on Starter, adding Google AI Mode, Microsoft Copilot and xAI Grok, and the page describes the tier as visibility across nine models with additional models available upon request. Claude being included on the free tier is the genuinely notable part, and it is worth knowing why: Claude is the engine most often sold as a paid extra in this category. Otterly charges $29 a month for it on Lite, $109 on Standard and $439 on Premium, which means an Otterly Premium plan that needs Claude costs $928 rather than $489. Getting Claude at no cost, even on a limited free allowance, is a real advantage if your buyers are technical.

AthenaHQ vs Profound: which should you choose?+

They are aimed at different buyers despite being compared constantly. Profound publishes $99 a month for 50 tracked prompts and $399 for 100, plus a custom Enterprise tier, and it is the more established enterprise platform with the deeper prompt-level analytics. AthenaHQ has the more generous entry by a wide margin, because Profound has no free tier, and its credit definition is clearer than anyone's. On raw entry cost AthenaHQ wins at $0 versus $99; on the step up, Profound's $99 tier sits in a gap AthenaHQ leaves completely empty between free and $295. The practical read: start on AthenaHQ's free tier regardless of which you end up buying, because it costs nothing to establish a baseline, then compare Profound's $99 against AthenaHQ's $295 on the engine coverage and allowance you actually need rather than on the sticker. Note also that Profound's own page does publish those prices, contrary to several roundups that claim otherwise and to figures like an 'approximately $140 Lite' tier that appear nowhere on the vendor's site.

Can you track AI visibility for free without AthenaHQ?+

Yes, and for a small question set it is the right answer. List the commercial questions a buyer would actually ask an assistant, which for most teams is fewer than twenty. Ask each engine twice, once with web search enabled and once without, because that tells you whether you have durable training-data presence or a temporary live-retrieval hit, and those are different kinds of visibility. Record who was recommended and which sources were cited, since the cited sources are the actionable part. Then extract the underlying search query each engine ran: Claude usually names it, Perplexity exposes it under the Steps tab, and you can ask ChatGPT what it searched for. Track those queries in the rank tracker you already pay for, tagged as LLM-sourced, and cross-check volume in Google Search Console. This costs nothing and breaks down past roughly twenty to thirty prompts, when you need history you did not think to record or several people need the same view.