Profound vs Peec vs AthenaHQ: Enterprise AEO Platforms Compared

Three vendors keep appearing on the same shortlist when a large brand starts pricing answer engine optimization, and the profound vs peec vs athenahq decision is usually framed as a feature contest between them. That framing misreads the choice. The three companies sit at very different stages, carry very different levels of capital, and price on three different logics, and those structural differences predict more about how each behaves inside a large organization than any feature grid does. An enterprise ai visibility platform is purchased to answer one question on repeat, namely where the brand stands in AI answers and what should be done about it, and the three diverge sharply on the second half of that question.

DeepSmith publishes this comparison and competes in the same category, so it appears here as a fourth option rather than an absent judge, with every competitor fact reported as documented and every axis a rival wins named as such.

In short: Profound is the deepest measurement platform in the category and the likeliest to clear a procurement review today. Peec AI is focused analytics with an unusually clean multi-market structure. AthenaHQ is the most technically ambitious on citation mechanics and the only one with a usable free tier. DeepSmith suits organizations whose bottleneck is not finding the gaps but producing the content that closes them.

The shortlist at a glance

The table summarizes each platform's published position. The reasoning follows.

What an enterprise evaluation is actually deciding

A useful geo tool comparison separates three layers rather than scoring features in one pile. The first is measurement: how many engines the platform reads, how often it reads them, and how the resulting numbers are constructed. The second is recommendation: whether the platform converts observed gaps into a prioritized list of work. The third is production: whether the platform closes the gap or hands the finding to a team that will close it elsewhere.

All four handle the first layer competently. The divergence begins at the second and becomes decisive at the third. An organization that already runs a well-staffed content function is buying layers one and two, and the third is a cost it does not need to carry twice. An organization whose publishing cadence is the real constraint is buying all three, and a platform that stops at the second layer will surface a backlog the team cannot execute against. That distinction, rather than engine counts, usually determines which subscription survives to month six.

Profound: the widest measurement surface in the category

Profound is the most established of the three. Founded in 2024 and headquartered in New York City, it has raised $58.5 million, including a $35 million Series B led by Sequoia Capital in August 2025 with participation from Kleiner Perkins, Khosla Ventures, Saga Ventures, and South Park Commons. Its documented customer list includes Ramp, MongoDB, Indeed, G2, Hexaware, and Golin. For a buyer whose procurement process weighs vendor durability, that is a materially different risk profile from a seed-stage alternative.

The measurement depth matches the funding. Answer Engine Insights covers brand mentions, citations, sentiment, and competitive benchmarking against named rivals. Prompt Volumes functions as a keyword-research analog for AI search, reporting volume data for prompts asked of AI engines, which allows prioritization against actual usage rather than assumption. Shopping Agent Analytics tracks product-level visibility inside ChatGPT Shopping and similar commerce surfaces, a capability neither rival documents. The operating scale behind these features is reported at more than one billion citations analyzed daily, more than 30 billion crawler visits, and more than 10 million prompts.

Profound also has the widest integration surface of the three: eight documented CMS connectors including WordPress, Contentful, Drupal, Sanity, and Payload, seven hosting and CDN integrations spanning Akamai through Vercel, plus Google Analytics, Google Search Console, G2, and Google Ads.

The constraint sits in how that value is gated. The $99 Starter tier tracks 50 prompts on ChatGPT alone, and the $399 Growth tier covers 100 prompts across ChatGPT, Perplexity, and Google AI Overviews. Everything that makes Profound an enterprise product, meaning nine-engine coverage, SSO and SAML, SOC 2, API access, and custom integrations, sits behind custom Enterprise pricing, so the published tiers understate what a real deployment costs. Setup complexity is documented as a challenge for smaller teams. Content production through Agents is real, with prebuilt templates for content refresh, AEO FAQ generation, competitive research, and net-new article creation, but it is the newest part of the product rather than its center of gravity.

Peec AI: focused analytics with a clean multi-market structure

Peec AI launched in January 2025 out of Berlin under founder and chief executive Marius Meiners, and has raised $29 million, including a $21 million Series A announced in November 2025 and a prior seed round of roughly $6 million to $8 million led by 20VC. Adoption has moved quickly for a company of that age: more than 2,500 marketing teams reported, a 4.9 out of 5 rating on G2, a customer list including Axel Springer, Chanel, n8n, ElevenLabs, and TUI, and reported ARR of €650,000 at four months.

The product is deliberately narrow. It reports visibility, position, and sentiment, refreshes daily, and organizes prompts into topic collections with competitor tracking across projects. Source analysis identifies which publications AI engines cite most often in a category, which converts directly into a digital PR target list, and the recommendation layer surfaces specific actions and content gaps.

Two design decisions distinguish it. The first is data collection through UI scraping rather than API-only querying, which the vendor positions as capturing what a user actually sees. The second is the pricing unit: Peec meters by projects and countries rather than prompts or credits, at one and one for $95 per month, two and two at $245, five projects across three countries at $495, and unlimited at Enterprise. For an agency or a multi-market brand, that structure maps onto the shape of the work more cleanly than a prompt cap, and the unlimited-project Enterprise tier is the most agency-friendly arrangement among the three.

The limits are equally clear. Engine coverage tops out at six, the lowest ceiling here, and reaching all six requires Enterprise. The integration ecosystem is smaller than Profound's: a native Looker Studio connector, MCP support, SSO, and a REST API documented as an Enterprise-tier beta. Most consequentially, Peec has no native content production. That is a defensible design choice, and it means the budget line for closing the gaps it finds sits outside the subscription entirely.

AthenaHQ: citation engineering behind a free tier

AthenaHQ is the youngest and smallest of the three, founded in 2025 in San Francisco, backed by $2.7 million in seed funding and the Y Combinator Winter 2026 batch. The founding team is unusually well matched to the problem: chief executive Andrew Yan is a former Google Search product manager and DeepMind researcher, and chief technology officer Alan Yao is a former ServiceNow platform engineer. In a category where most tools query engines and count mentions, retrieval-side experience is a credible signal.

The product reflects that. The Athena Citation Engine applies knowledge-graph integration and source-authority analysis to citation optimization, and Oracle detects discrepancies between a brand's claimed presence and its actual presence across sources. Persona targeting supports audience-specific tracking with custom definitions, which matters for organizations selling into several distinct buyer types. Enterprise adds a Knowledge Base with claim review, audit logs, multi-region and multi-language support, a recommendation engine, and an executive dashboard with BI support.

The free Essential tier is genuinely useful rather than a demo shell. It includes $25 in credits, five models covering ChatGPT, Perplexity, AI Overviews, Gemini, and Claude, unlimited members, prompt and response analysis, source and competitor insights, content recommendations, and the Athena agent. Among the four platforms here, it is the only route to real data across five engines before a commercial conversation begins.

Above the free tier the economics change quickly. Starter is $295 per month, roughly three times the entry price of Profound or Peec, and it is metered in credits rather than prompts, at 3,600 credits with add-ons available. Usage-linked pricing is harder to forecast than a fixed prompt cap, and finance teams evaluating a multi-year commitment should model it before assuming parity. Coverage is strong at that price, with nine models including Microsoft Copilot and Grok, though vendor model counts are not defined consistently across this category and are worth confirming directly. The larger caveats are commercial rather than technical: $2.7 million in funding against Profound's $58.5 million, the smallest customer base of the three, an integration ecosystem still being built, and content agents earlier in development than the analytics around them. Any vendor benchmark AthenaHQ publishes about these rivals is marketing material and should be treated as such.

DeepSmith: one dataset behind tracking and production

DeepSmith takes a different position on where the value sits. AEO tracking reports mention rate, citation rate, share of voice, sentiment, and visibility trend, with a per-platform breakdown, a competitor leaderboard, the sources AI cites most, per-prompt rates with full answer history, and a Pages view showing which of the brand's own URLs earn citations. Discover Prompts generates a starter prompt set from stored product, persona, and buyer-stage context, and competitor citations show who wins which prompts, on which exact pages, and how each rival performs by platform.

That data feeds production rather than a report. Content Map puts the brand's own site and unlimited competitor sites on one topic taxonomy, re-checked every 24 hours, so coverage gaps and untapped topics are measured rather than guessed, and Opportunity Agents read that map and the visibility data to return ideas that each carry the data point justifying them. Content Studio moves an idea from New Ideas through Planned Content to the Writer, which produces a finished, brand-grounded article with internal and external links, schema, a cover image, and publish-ready metadata already in place. Autowrite runs the same pipeline on a scheduled date with no one in the application, and Produced Content handles review before publishing to WordPress, Webflow, Strapi, Sanity, Contentful, or webhooks. Deep IQ holds the brand brief, product profiles, personas, voice, visual guidelines, and content types, and every module reads from it, which is the mechanism behind consistent output at volume rather than a claim about model quality. Publish-ready means SEO and AEO optimization, linking, metadata, and imagery are complete at generation time; it does not mean guaranteed quality without oversight, and DeepSmith does not control or guarantee rankings, citations, traffic, or revenue.

Pricing is published all the way up: Pro at $99 per month, Grow at $199, Scale at $399, and custom Enterprise, with annual billing reducing those to $80, $160, and $299. Each tier defines articles per month (20, 40, 90), tracked prompts (50, 100, 200), seats (5, 7, 10), and engine coverage. A 7-day free trial runs on real data, and there are no long-term contracts or cancellation fees.

Engine coverage runs to ten, namely ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Grok, Meta AI, Microsoft Copilot, and DeepSeek, and it is gated by tier rather than sold flat. Pro tracks ChatGPT alone, which is where most buyer research starts, Grow adds Perplexity, and Scale adds Gemini, so a brand that needs the remaining seven reads them at Enterprise, where all ten are covered.

Engine coverage and what a published price actually buys

Engine counts are the most quoted number in any geo tool comparison and the least useful in isolation, because coverage is gated by tier in every case.

At roughly $99 per month, Profound, Peec, and DeepSmith each deliver a single engine, ChatGPT. AthenaHQ's free tier delivers five, the strongest entry-level coverage in the category by a wide margin and the reason it belongs on any shortlist regardless of eventual purchase.

At roughly $400 per month the comparison sharpens. Profound Growth provides 100 prompts across three engines. Peec Advanced provides five projects across three countries on three models. DeepSmith Scale provides 200 prompts across three engines plus 90 publish-ready articles per month and multi-channel repurposing. Engine coverage is equivalent at that price; the difference is what else arrives with it.

At the top of the market the ceilings separate: ten engines at DeepSmith Enterprise, nine at Profound and AthenaHQ, six at Peec. Between the two rivals at nine, the athenahq vs profound question comes down to what surrounds the coverage: Profound brings SOC 2, a mature integration catalog, prompt volume data, and shopping-agent analytics, while AthenaHQ brings citation engineering, discrepancy detection, persona targeting, and multi-region support. Profound is the safer procurement decision. AthenaHQ is the more interesting technical one.

Enterprise procurement and operational fit

Security review is where seed-stage vendors most often stall. Profound documents SSO and SAML, SOC 2 compliance, dedicated Slack support, API access, and custom integrations at Enterprise, and is the most likely of the three to pass a large-company review without exceptions. AthenaHQ documents SAML and OIDC SSO, audit logs, and multi-region and multi-language support, a strong list for a company of its size, though the compliance attestations behind it are less established. Peec documents SSO at Enterprise alongside its API, Looker Studio connector, and MCP support.

Multi-brand operation is a separate axis. Peec's unlimited projects and countries at Enterprise is the cleanest structure for an agency or holding company running many brands. DeepSmith addresses the same requirement through Multi-Workspace, where each brand is fully isolated with its own context, content, and plan, and teammates join as owners or members. The two differ in what gets isolated: Peec separates the measurement, DeepSmith separates the measurement and the production context together, which matters when brand voice and product claims must not leak between clients.

Which should you choose

Choose Profound when measurement depth is the requirement and a content function already exists to act on it. Organizations needing prompt volume data, shopping-agent visibility, crawler-scale analysis, and a vendor that will survive a rigorous security review will find it the strongest fit. Budget for Enterprise rather than the published tiers.

Choose Peec AI when the operating model is multi-brand or multi-market and the analytics need to stay simple. Agencies and international teams get a pricing structure shaped like their actual work, daily refreshed data, and a source-analysis view that converts into digital PR targets. Plan separately for content production, because the platform does not provide it.

Choose AthenaHQ when citation mechanics are the strategic focus and an evaluation must start before a budget exists. The free tier across five engines is the best no-cost assessment available, and the Citation Engine, Oracle, and persona targeting suit organizations with complex claim accuracy or multi-audience requirements. Weigh the commercial risk of the smallest vendor in the set.

Choose DeepSmith when the gap between knowing and publishing is the real constraint. Teams that can already name the prompts they lose but cannot produce enough content to contest them get tracking and publish-ready production from one context layer, at published prices through $399 per month, with all ten engines at Enterprise. Organizations whose requirement is prompt volume data or shopping-agent visibility should shortlist Profound instead.

All four run cleanly in parallel. AthenaHQ's free tier costs nothing to open, Peec and Profound both start near $99, and DeepSmith runs a 7-day trial on real data and real drafts. A month of side-by-side testing on the same prompt set beats any comparison table, including this one.

Start a DeepSmith free trial and see which prompts the brand is losing, then produce the content that contests them, from the same platform.