Profound vs AthenaHQ vs Peec: The Independent Comparison

The short version of Profound vs AthenaHQ vs Peec: Peec suits lean marketing teams buying their first AI visibility tool, AthenaHQ suits mid-market teams that want a full AEO suite at a published mid-market price, and Profound stretches from a $99 ChatGPT-only tier to enterprise contracts where its engine list opens up fully. All three are credible. The deciding differences are pricing shape, platform coverage, and how each one meters usage, so that's what this page compares.

Key takeaways:

• All three track AI visibility; they differ on platform lists, pricing structure, and metering, not on the basic promise
• Profound publishes $99 and $399 monthly tiers plus custom enterprise, with coverage gated by tier; AthenaHQ runs free to $295 Starter on credits; Peec meters its self-serve tiers by prompts and monitored models
• Grok and AI Mode sit behind AthenaHQ's paid tiers, Profound's full engine list is enterprise-only, and Peec's self-serve tiers run on the mainstream six with more at enterprise
• Scores never compare across platforms, so pick one and judge trends inside it

Why Trust This Comparison?

The vs-pages in this category are written by the vendors in them, which makes every comparison a home fixture. Search any pairing of these three names and the ranking page usually belongs to one of the contenders, grading its own homework with criteria that match its own feature list.

We're a B2B SEO and GEO agency. We sell measurement design and content programmes, not software, and no affiliate money moves if you pick any of these. Product facts below come from each vendor's own site and pricing page, checked on 17 August 2026; where a claim is the vendor's own marketing, it's labelled as such. Prices and tier contents in this category change frequently, so treat the vendor pages as the living source and this page as the map of what to compare.

What Do the Three Platforms Do?

All three answer the same buyer question: how visible is my brand in AI assistants' answers, and is it improving? Each runs prompt panels against the assistants it supports, counts mentions and citations, benchmarks against competitors, and recommends actions. If the category vocabulary is new, our plain-English guide to GEO, SEO, and AEO sets the scene.

Profound vs AthenaHQ: Where Do They Differ?

Profound and AthenaHQ overlap fully on coverage only once Profound reaches its enterprise tier, a point AthenaHQ hits at its $295 Starter, and they differ on shape everywhere below it. Both can reach eight-plus platforms including Claude and Grok, both meter usage, and both keep their top tier custom. The tier gating decides the real comparison.

Pricing shape first. Profound publishes a $99 Starter and a $399 Growth tier billed yearly, so a small team can start without a sales conversation, but read the gates: Starter tracks ChatGPT alone with 50 prompts, Growth covers three engines, and the full list, up to nine engines, is enterprise-only. AthenaHQ enters with a limited free tier, and its $295 Starter carries 3,600 credits with the full platform list included, which makes the real monthly cost a function of how your panel consumes credits. Model the prompt panel you'd really run against both metering systems before comparing sticker prices; a heavy panel can invert the apparent order, and a narrow tier can make a cheap price expensive per insight.

Feature centre of gravity second. Profound leans into automation: agent features that generate AEO-optimised FAQ content and flag weekly priorities. AthenaHQ leans into breadth of insight: citation source analysis, brand sentiment, crisis detection, and a query copilot. Automation-first versus insight-first is a real philosophical difference, and which one earns its keep depends on whether your bottleneck is producing content or understanding your position.

Platform lists reach near-parity only when you compare AthenaHQ's Starter against Profound's enterprise tier, which is the honest way to read any feature grid in this pairing. If a specific assistant drives your category, check which tier carries it on both sites rather than trusting any comparison, ours included.

Where Does Peec Fit?

Peec AI is the focused option: six mainstream platforms on its self-serve tiers, visibility, position and sentiment tracking, prompt organisation with tags, and CSV export everywhere, with Looker Studio and API access arriving on its higher tiers. It claims more than three thousand brands and agencies, and its plans meter prompts and monitored models per tier, which is the part of its pricing page to read twice.

Peec's enterprise tier extends past the mainstream six with additional tracked models. For most B2B categories the mainstream set covers the audience that exists today, and a team that outgrows it will know from its own referral data before any comparison page says so.

Peec's agency orientation shows in the workflow: tags, benchmarking, and export are the features that matter when you run panels for several clients and report in someone else's template. The vendor also promotes an MCP integration for wiring its data into AI assistants and internal tooling, a sign of where reporting in this category is heading: out of the dashboard and into wherever your team already works.

One structural note that applies to all three: none of the three published run-to-run variance figures for their own scores when we checked. Until one does, the burden of knowing what normal movement looks like sits with you, which is one more argument for keeping a small manual panel running alongside whichever platform you buy. The platform gives you scale; the manual panel gives you a sanity check the vendor didn't calibrate.

Which Should Your Team Pick?

Match the platform to the team shape rather than the feature count:

1. First AI visibility tool, small team: Peec, or Profound's $99 Starter. Both start without procurement, and both meter tightly at entry: Profound's Starter watches ChatGPT alone, Peec's tiers cap monitored models. Pick by whether export flexibility or prompt depth serves you better.
2. Mid-market, want the full picture: AthenaHQ's Starter or Profound's Growth. Run the credit maths on your real panel; that's usually where the decision lands, not on the feature grid. Note what each buys: Athena's $295 covers its full platform list on credits, Profound's $399 covers three engines with 9,000 responses a month.
3. Agency running client panels: Peec's agency features and export, or Profound's Agency Growth plan with per-client workspaces. AthenaHQ lists multi-brand organisations as customers; price a realistic multi-client month before deciding.
4. Enterprise with analysts: Profound and AthenaHQ both want this conversation. Bring your prompt panel to both demos and make them score it live.

Before any of the four, know which prompts you're losing. A competitor gap analysis for AI search tells you where competitors own the answers, which turns every demo from a tour into a test.

What Should You Test in a Trial?

Run the same four tests in every trial, because these are the differences that survive the honeymoon:

1. Credit metering against your real panel. Configure the prompts and competitor set you'd genuinely run, ask each vendor what one credit buys (one AI response, one prompt, one refresh?), run a normal month, and read the burn. Tier prices only mean something divided by your consumption.
2. Panel visibility. Confirm you can see and edit every prompt the tool runs. A score built on prompts you can't inspect is a number you can't defend.
3. Run-to-run variance. Ask each vendor what normal week-to-week movement looks like on their platform. Movement smaller than that variance is noise, and a vendor who won't quantify it is asking you not to check.
4. Export completeness. Pull your data out in week one. If the history doesn't leave cleanly, neither will you.

If two platforms survive the tests, run them head to head for a month on the identical panel and keep the one whose findings you acted on. Choosing measurement infrastructure is part of what we do with B2B teams, without a reseller margin in the room.

What Do None of Them Solve?

None of these platforms create visibility; they report it. The work that moves AI share of voice is largely earned: third-party coverage, authoritative citations, and content structured so assistants can lift answers from it. A 2025 University of Toronto preprint found the AI engines it studied systematically favour earned media, third-party authoritative sources, over brand-owned content, which is precisely the material no dashboard can produce for you.

So budget the tool as the thermometer, not the treatment. The content patterns that earn citations are covered in our GEO playbook for B2B companies, and the boundary between what tools automate and what still needs humans is drawn honestly in our review of what the best AI SEO agencies do.

FAQs

Decide in three steps: write your real prompt panel first, run the credit maths on it against all three metering systems, then trial the two survivors head to head for a month. The independent comparison ends the way vendor pages never do: any of the three can be right, and your panel, not their feature grid, is the judge.