Profound alternatives in 2026: which platforms write and publish, and which only measure

Profound belongs to the first wave of AI visibility software. Its core job is to log how often a brand appears in LLM answers, which prompts trigger the mention, and which sources the model cited. The analytics are detailed, and the agents add a writing assistant on top. What it does not sell is an operated loop that ships and verifies the page.

That matters because Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) require published artifacts to move the needle inside the models. AEO is the practice of structuring content so answer engines like ChatGPT and Perplexity extract and cite it. GEO is the broader discipline of shaping brand presence across generative outputs — entity definitions, citation patterns, source authority. Both depend on real pages, structured data, and consistent entity references across the open web. A dashboard alone does not create any of these.

Internal teams in Dubai and New York hit the same bottleneck. An audit flags a 2% share of voice on a priority prompt cluster. Closing that gap requires six to twelve new pages, Schema.org markup, fact-checking, and distribution. That is a content operation, not a reporting task. In our own Birdview PSA engagement, ChatGPT mention rate moved from 0.9% to 21.5% in eight weeks, and the movement came after the pages were published and indexed, not after the audit.

The execution gap is the time and headcount between knowing what to publish and actually publishing it. First-generation tools leave that gap wide open.

The eight platforms below split cleanly into two camps. One camp measures and audits. The other camp writes, fact-checks, and ships pages. A smaller group sits in the middle, generating drafts an internal team still has to finish.

The table uses prices verified from vendor pricing pages on 28 October 2026. Where no base price is published, the entry says so.

Vendor	Cheapest published entry	How far it goes from insight to page	Unit of billing
Profound	Not published; Trial is free	Measures and reports; AI Marketer agents produce drafts on Enterprise	Credits per agent run; Enterprise custom
AthenaHQ	$295/mo Starter	Measures; recommends on-page and off-page actions; drafts on content optimization agent	Credits (1 credit = 1 AI response)
Peec AI	$95/mo Starter (read 21 Jul 2026)	Measures prompt share of voice only	Monthly subscription
Otterly.AI	$29/mo Lite	Measures; GEO URL audits and on-page recommendations	Prompts per month
Scrunch	$250/mo Core	Measures; 1 page optimization/mo on Core; advanced content generation on Enterprise	Prompts + responses + audits
AirOps	Not published; Solo tier available	Measures across 10+ engines (Pro); workflows generate and push content to CMS	Tasks per month; $0.025/task overage on Solo
Writesonic	$79/mo Starter (annual)	Measures 3 engines; 15 AI articles/mo; Action Center on Growth trial	Prompts + articles per month
Humanswith.ai	$149/mo Starter	Measures, writes through ContentOS quality gates, adds JSON-LD, publishes	Prompts + articles per month

Two patterns are worth naming. First, pricing transparency is uneven. Profound and AirOps publish feature tiers but not the number on the contract. Profound briefly listed Starter at $99 and Growth at $399/mo on 21 July 2026, then removed those tiers by September. Second, the "credits" unit obscures real cost. On AirOps, every daily prompt run across every engine, region, and persona debits the same balance that content workflows draw from, and a Claude answer debits four tasks ^[1]. Buyers underestimate burn rates until the second invoice.

These four platforms are built first to tell a brand where it stands in LLM answers today. Two of them add agents that draft or optimize content; none of them operates the publishing loop for you.

Profound is the deepest instrument in this group. The Trial plan runs 50 prompts daily for seven days across ChatGPT, Gemini, and Google AI Overviews using a recommended prompt set that cannot be customized ^[2]. Enterprise unlocks custom prompts, up to nine answer engines, SSO/SAML, SOC 2, and Agent Analytics — which pulls AI-sourced traffic from Cloudflare, Vercel, Akamai, AWS, Fastly, GA4, and WordPress logs ^[2]. The AI Marketer agents can research, write, and build reusable workflows, but complex multi-step runs consume more credits, and additional credit thresholds require the Enterprise contract. The reporting is excellent. Editing, fact-checking and publishing the agents' output is still a project your team runs.

AthenaHQ sits closer to the recommendation line. Essential is free with a $25 credit and 300 credits ^[3]. Starter at $295/month includes 3,600 credits across 11 models, unlimited topics and prompts, on-page and off-page actions, and a content optimization agent that iterates against self-learning scoring ^[3]. Enterprise adds a Citation Engine and Recommendation Engine with persona and multi-region targeting. The platform tells a team precisely what to change on a URL. A copywriter still has to make the change.

Peec AI is purely a monitor. Starter was $95/mo, Pro $245 and Advanced $495 when we last read published figures on 21 July 2026, with no article production ^[4]. It answers "where am I showing up?" with precision and leaves the rest to the content team.

Otterly.AI is the budget entry. Lite at $29/mo covers 15 prompts; Standard at $189 covers 100; Premium at $489 covers 400, across four base engines ^[5]. GEO URL audits produce on-page recommendations without writing a single sentence of body copy.

The resource question is consistent across this group: someone on your team has to turn the findings into pages. For a 500-prompt program that usually means an SEO lead plus writing capacity, and that headcount is the hidden cost line.

These platforms promise to shorten the distance between a visibility gap and a live, cited page. The depth of that promise varies sharply.

Humanswith.ai operates as both a platform and an execution team for B2B companies in the US and UAE. The tiers are month-to-month, and clients own the content. Starter at $149/mo covers 100 prompts on ChatGPT, 1 scan per month, and 1 published article. Growth at $1,497 opens three engines, 500 prompts, and up to 10 articles. Scale at $2,977 adds a fourth engine and up to 20 articles. Outlier at $4,977 runs 2,000 prompts, six engines, two scans monthly, and up to 40 articles. Custom tiers handle 40+ articles with weekly scans. Each article goes through ContentOS quality gates, receives Schema.org JSON-LD, and gets published to the client's CMS.

The honest trade-off: scans run monthly on most tiers, twice monthly on Outlier. Profound, AirOps, and Scrunch track daily. For brands that need daily pulse monitoring, that cadence will be too slow.

Case proof is specific. Birdview PSA moved from 0.9% to 21.5% ChatGPT mention rate in eight weeks. Perfect Panel reached a 19.67% owned-domain link rate in LLM citations. WEISAN reached 20.11%. These are stage-1 metrics, but owned-domain links are the bridge to stage 2: only a clickable link to your domain can send a referral session from an AI answer.

AirOps is the strongest workflow builder in the group for teams that want to operate the loop themselves. The visual workflow builder, Brand Kits, and Knowledge Bases let an in-house team assemble a pipeline from prompt detection to CMS push. Solo covers 35,000 tasks/month with ChatGPT insights only, single user. Pro covers 100,000 tasks across 10+ answer engines with unlimited seats. Enterprise adds custom agent builds. A 14-day trial is live, and Solo overage runs $0.025 per task ^[1]. The caveat is operational: because answer tracking and content generation share the task balance, teams who turn on daily tracking across many engines will burn their content budget faster than planned.

Writesonic blends measurement and article production at a lower price. Starter at $79/mo (billed annually) covers ChatGPT, Gemini, and Google AI Overviews with 50 prompts and 15 AI articles. Basic at $199 lifts those to 100 prompts and 25 articles. Growth at $399 includes 200 prompts, 50 articles, and a trial of the Action Center with five on-page and five off-page actions per month. Enterprise covers all nine AI platforms with the full Action Center and an AI search strategist ^[6]. Articles are AI-drafted inside the platform; editorial review and fact-checking stay with the buyer.

Scrunch is strongest at mid-market tracking with light content touches. Core at $250/mo includes 125 unique prompts, 5,000 responses monthly, five site audits, five user licenses, and four LLMs (ChatGPT, Perplexity, Google AIO, Copilot). Page optimizations are capped at one per month, and content generation is listed as Basic. Enterprise adds the Agent Experience Platform, nine LLMs, advanced content generation, and API/MCP access ^[7]. For teams wanting daily tracking plus occasional on-page work, Scrunch Core is defensible. For teams wanting weekly article production, it is not configured for that volume.

Running a 30-day test before switching off Profound — or committing to any of these platforms — follows a tight sequence. The checklist below assumes a B2B team with an SEO lead, one content producer, and access to the CMS.

• Audit baseline brand share across ChatGPT, Perplexity, Gemini, and Google AI Overviews using 50–100 geo-tagged prompts tied to real buyer questions.
• Map intent clusters for Awareness, Consideration, and Decision stages for each target market (US, UAE, or both), and label which prompts belong to each.
• Construct a structured Knowledge Graph: define brand entities, products, competitors, and author bios with Schema.org JSON-LD and consistent references across the owned domain.
• Pick the loop model honestly: a measure-first tool (Profound, Peec AI, Otterly.AI, AthenaHQ) if your team has the editorial capacity to act on findings every week; a closed-loop option (Humanswith.ai, AirOps, Writesonic, Scrunch) if it does not.
• Deploy a publishing pipeline that pushes fact-checked pages to the CMS with JSON-LD intact, whether through AirOps workflows, Humanswith.ai delivery, or an internal process.
• Monitor mention rate and owned-domain link rate over 4-to-8 week cycles (stage 1), and report AI referral sessions, assisted conversions and SQLs separately (stage 2).
• Set a kill criterion: if mention rate on the priority cluster has not moved after 10 weeks of consistent publication, revisit entity definitions and source authority before adding volume.

For a US enterprise with an in-house content team of six or more, a mandate for daily tracking across up to nine engines, SOC 2 and SSO requirements, and the appetite to run Agent Analytics against CDN logs from Cloudflare, Vercel, Akamai, AWS, and Fastly, Profound remains the most capable instrument ^[2]. The AI Marketer agents work well as a teammate for a staffed team. They do not replace one.

For a mid-market B2B company in Dubai or Austin with a two-person marketing team, no CMS engineer, and a mandate to show cited-source growth within a quarter, a closed-loop platform makes more sense. The platform choice depends on whether the team wants to operate the loop (AirOps), buy a drafts-and-measurement bundle (Writesonic, Scrunch), or hand off the full operation (Humanswith.ai).

For published prices side by side, see our Profound alternatives price comparison, the AirOps head-to-head and our pricing.

B2B organizations choosing between measure-first tools like Profound and closed-loop platforms like Humanswith.ai should match the software to internal editorial bandwidth, not to the dashboard's depth. Teams with staffed content operations and daily-tracking mandates should stay with Profound. Teams that need published, cited pages — and lack the hours to produce them — should evaluate Humanswith.ai, AirOps, Writesonic, or Scrunch against a 30-day test before signing an annual contract.

[1] AirOps Pricing — https://www.airops.com/pricing

[2] Profound Pricing — https://www.tryprofound.com/pricing

[3] AthenaHQ Plans — https://athenahq.ai/plans

[4] Peec AI Pricing (tiers read 21 July 2026) — https://peec.ai/pricing

[5] Otterly.AI Pricing — https://otterly.ai/pricing

[6] Writesonic Pricing — https://writesonic.com/pricing

[7] Scrunch Pricing — https://www.scrunch.com/pricing