AthenaHQ is a self-serve AI visibility tracker with a free plan that also writes and publishes content. Adobe Brand Visibility is a sales-led enterprise product that ties AI visibility to revenue inside Adobe Analytics and fixes pages at the CDN edge or in AEM. DeepSmith is a strong alternative for teams outside Adobe's stack: self-serve from $99 a month, it tracks AI answers and publishes finished articles to your CMS with no IT project.
If you are weighing AthenaHQ vs Adobe Brand Visibility and your team does not run Adobe Experience Manager, the two products ask very different things of you before you see any data. AthenaHQ lets you sign up and start tracking the same day. Adobe Brand Visibility, which was sold as Adobe LLM Optimizer until 31 July 2026, starts with a sales conversation, and its free trial is only open to existing Adobe customers. DeepSmith gives you the self-serve route and also produces the content that closes the gaps it finds.
AthenaHQ vs Adobe Brand Visibility: the short answer
- Choose DeepSmith if you want to track AI answers and publish finished articles from one self-serve plan, starting at $99 a month with a 7-day free trial, and you do not want an IT project or an existing vendor contract first.
- Choose AthenaHQ if you want a published price, a free plan, 11 tracked engines on the $295 Starter plan, and a Content Hub that drafts and publishes to eight CMSs.
- Choose Adobe Brand Visibility if you already run Adobe Analytics, Customer Journey Analytics or AEM, and you want revenue attribution, AI crawler data from CDN logs and fixes served at the edge inside that contract.
| DeepSmith | AthenaHQ | Adobe Brand Visibility | |
|---|---|---|---|
| Entry price (monthly) | $99/mo (Pro) | $0 (Essential); $295/mo (Starter) | Not public (sales-led) |
| Annual price | $80/mo billed yearly (Pro) | Not listed (17% off shown) | Not public |
| Engines at entry tier | 1 (ChatGPT) | 5 on Essential; 11 on Starter | Not listed |
| Most engines on any plan | 10 (Enterprise) | 11, more on request | Up to 10 LLM families |
| Free trial or free plan | 7-day free trial | Free Essential plan | Partial: existing Adobe customers only |
| Competitor benchmarking | Yes | Yes | Yes, up to 5 competitors |
| Content generation | Yes | Yes | Partial: off-site content |
| CMS publishing | Yes | Yes | Partial: AEM or CDN edge |
| Brand-context grounding | Yes | Yes | Not listed |
| AI crawler analytics | - | Not listed | Yes |
| AI referral attribution | - | Yes | Yes, in Adobe Analytics |
| Public API | Yes | Yes | Not listed |
| Security certifications | SOC 2, GDPR, ISO | SOC 2 Type 1 and Type 2 | Not listed for this product |
| Review rating | 4.8/5 on G2 | 4.9/5 on G2 | 3.7/5 on G2 |
Pricing and features as of September 2026, from each vendor's site and public reviews.
AthenaHQ

AthenaHQ is an AI search visibility platform from NuvoTech, Inc., a San Francisco company founded in 2025 and backed by Y Combinator. It runs tracked prompts against up to 11 AI surfaces and reports mentions, citations, position, sentiment and share of voice. It is built for marketing, SEO and content teams that want monitoring and content work in one tool, from self-serve teams on Starter to enterprises that need multi-region tracking and SSO. If Profound is also on your list, see Profound vs AthenaHQ.
The standout is how much sits behind a self-serve signup. The free Essential plan gives you 300 credits and five engines, and Starter is $295 a month with 3,600 credits and all 11 engines. The Content Hub writes full articles from an approved brief, optimizes existing pages and publishes to Shopify, WordPress, Webflow, Wix, Framer, Payload, Sanity and Contentful. AthenaHQ says setup takes about 15 to 20 minutes.
The real limitation is that capacity is hard to size. Usage is metered in credits, one per AI response, but five for Claude, Grok, DeepSeek, Meta AI and Mistral, and the fan-out option multiplies usage by four. AthenaHQ's own calculator example needs 7,145 credits a month, which is more than Starter includes. API access and extra credits are paid add-ons with no public price, and several features sit on Enterprise only.
Reviewers on G2 give it 4.9/5 from 48 reviews, as checked on 30 September 2026. They praise the citation and competitor analysis and the support. A few say building a good prompt library takes time.
Adobe Brand Visibility

Adobe Brand Visibility is Adobe's enterprise tool for tracking how a brand appears in AI answers. It launched as Adobe LLM Optimizer in June 2025, and in June 2026 Adobe folded it into Brand Visibility, which adds Semrush prompt and market data. Only Brand Visibility has been sold since 31 July 2026, and existing LLM Optimizer contracts carry over. It is aimed at large enterprises, especially ones already on AEM, Adobe Analytics or Customer Journey Analytics.
The standout is that it acts on what it finds. Optimizations can be served at the CDN edge to AI agents only, with instant rollback, or pushed through AEM. It also reads AI crawler traffic from CDN logs, and it ties AI referral traffic to conversions and revenue inside Adobe Analytics. Adobe says it can draw on nearly 300 million AI search prompts from Semrush for prompt research.
The real limitation is access. There is no public price, licenses are sold per prompts per year, and the only free trial is for eligible AEM Cloud Service or Adobe Analytics customers, with 100 prompts, one domain and up to 50 URLs. A G2 reviewer called CDN log forwarding, which needs IT and security coordination, an onboarding barrier.
The review base is thin. G2 shows 3.7/5 from five reviews, four of them incentivized, and Capterra has none, so it is hard to say how typical any single review is. If Profound is the other tracker on your list, Profound vs Adobe Brand Visibility covers that pair. Large teams building a procurement shortlist can read the best AI visibility tools for enterprise brands.
DeepSmith: the alternative that tracks and publishes without a stack

The gap AthenaHQ and Adobe Brand Visibility leave for a team outside Adobe's stack is about terms more than features. AthenaHQ does track and write, and credit where it is due, it has a free plan. But its Starter price starts at $295 a month, and the credit math makes it hard to know in advance how many prompts that buys. Adobe Brand Visibility acts on findings at the edge, but you reach it through a sales order, and the trial is only open if you already hold Adobe products. If you are not on Adobe's stack, you are looking at a fork between a metered self-serve tool and a contract that assumes a stack you do not have. We cover the first pair head to head in DeepSmith vs AthenaHQ. The second is covered in DeepSmith vs Adobe LLM Optimizer.
DeepSmith is one platform for AI search analytics and content production, and the named difference is stack independence. You sign up on your own, set it up from your website, and have a working workspace in minutes, with your brand brief, competitors and starter tracking prompts populated before you pay. Plans are priced in the open: Pro is $99 a month for 20 articles and 50 tracked prompts, Grow is $199 for 40 articles and 100 prompts, and Scale is $399 for 90 articles and 200 prompts. There is a 7-day free trial and no long-term contract.
The tracking side covers mention rate, citation rate, share of voice and sentiment across ChatGPT, Gemini, Perplexity and the other engines on its list, with per-prompt answer history and a view of which of your pages get cited. Coverage grows by plan, from ChatGPT on Pro to all ten engines on Enterprise. The production side starts from the same data. Opportunity Agents help turn tracked prompts into a content plan, with Content Map gaps adding ideas that each carry their evidence, and the Writer in Content Studio turns a planned idea into a finished article grounded in your Deep IQ brand context. Autowrite can do that on a schedule. If you want more options in this space, there is a list of tools that both track and write for AI search. Published output goes straight to WordPress, Webflow, Strapi, Sanity or Contentful, or to your own webhooks, and every finished article arrives with social posts already written.

The measurement view above is demo data, and it shows how mention rate, citation rate and share of voice are kept apart, with a per-engine breakdown and a ranking against tracked competitors.

The production view is also demo data. A finished article arrives with its cover image, word count and link count, ready to publish to your CMS in one action.
Pricing and buying route
In an Adobe Brand Visibility vs AthenaHQ comparison on price, AthenaHQ wins. You can read its prices, start free, and buy Starter without talking to anyone. Adobe Brand Visibility has no pricing page. A past LLM Optimizer page described a 1,000-prompt annual minimum, but that page now redirects, so it is not a confirmed current figure. Licenses are set in a sales order per prompts per year, and a daily refresh may cost extra.
AthenaHQ's openness has limits too. The annual Starter price is shown only as 17% off, and API access and extra credits are add-ons without a public price. Adobe's paid entitlement also includes Semrush Enterprise AIO, with 40 full users, 150 projects and 800 AIO credits a month, which is real value if you would buy Semrush anyway.
What DeepSmith does: DeepSmith publishes every plan price. Pro is $99 a month ($80 billed annually), Grow is $199 and Scale is $399, each with a fixed monthly allowance of articles and tracked prompts, so you can compare cost per article before you start. There is a 7-day free trial and no cancellation fees.
Engine coverage
AthenaHQ wins on engine coverage. Starter lists 11 surfaces: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI and Mistral. The free plan covers five of them. Adobe says Brand Visibility covers up to ten LLM families, but its product pages name only five: ChatGPT, Perplexity, Google AI Mode, Claude and Copilot. Release notes add Grok, DeepSeek, Gemini and Google AI Overviews in particular modules, and Adobe has not published a matrix showing which engines each license samples.
Neither vendor publishes how it collects answers. Adobe's security overview says it sends prompts to public LLM APIs and crawls public interfaces, and an earlier description said it statistically approximates some answers. AthenaHQ does not say whether it uses APIs or consumer interfaces.
What DeepSmith does: DeepSmith tracks ten engines: ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Grok, Meta AI, Microsoft Copilot and DeepSeek. Coverage rises by plan, with ChatGPT on Pro, Perplexity added on Grow, Gemini added on Scale and all ten on Enterprise.
Setup and stack requirements
AthenaHQ wins for a team with no Adobe stack. The published path is to sign up, review the profile it prepares from your site, add competitors, import or generate prompts and set a schedule. AthenaHQ estimates 15 to 20 minutes and results within a few hours, though those are vendor estimates. A G2 reviewer noted that a useful prompt library still takes time to assemble.
Adobe's trial path starts with eligibility. You need AEM Cloud Service or Adobe Analytics, and the crawler and referral views depend on CDN log forwarding and edge access. Impact measurement can need a baseline of about two weeks. Adobe also says initial results for configured prompts can appear within 24 hours. The "changes in minutes" language applies to a single optimization, not the whole rollout. Adobe's CDN-edge deployment is stated to work with Fastly, Akamai and Cloudflare, so it is not limited to AEM sites, but the setup still needs IT time.
What DeepSmith does: DeepSmith is set up from your website during onboarding, with your brand brief, competitors, starter tracking prompts and a first batch of ideas filled in before you pay. No log forwarding or CDN access is needed to start tracking or producing.
Tracking cadence and data method
This is close to a tie. Adobe's Brand Presence refreshes weekly by default, with daily refresh available on request and possibly for an extra fee, even though the product page uses real-time language. AthenaHQ schedules run weekly on chosen days or on chosen days of the month, and you can select all seven days for daily runs at seven times the weekly credit cost. Neither vendor states how long it keeps answer history for every plan, and Adobe has not said whether it stores full answer text.
Both show query fan-out, the sub-queries an engine ran. AthenaHQ also adds a separate fan-out run that adds three prompt variations and uses four times the credits. If you compare scores across the two tools, run the same prompts on the same dates before you trust a difference, because the collection methods are not the same or not published. The how many prompts to track question matters here too, because a credit budget caps how many prompts you can run at once.
What DeepSmith does: DeepSmith keeps full answer history for each tracked prompt, so you can read the answers an engine gave and see where your brand was named. Collection runs on a schedule you set in Settings, and trends are shown period over period.
Revenue attribution and crawler data
Adobe Brand Visibility wins here. It reports LLM referral traffic, conversions and revenue through native Adobe Analytics and Customer Journey Analytics integrations, and it reads AI crawler activity from CDN logs, which the vendor says standard analytics cannot see. It also checks that AI bots read updated content. If your analytics already live in Adobe, that is a real advantage.
AthenaHQ has a GA4 integration that shows AI traffic per content URL, and a Shopify integration it says attributes revenue to AI search. It does not document monitoring of bot visits to your site, only managing crawler access with a smart robots.txt and llms.txt. DeepSmith's plans don't include crawler log analytics, and its API and MCP server are read-only, so you can pull its data into your own analytics tools.
What DeepSmith does: DeepSmith reports which of your pages AI cites, each page's share of your total citations and the prompts driving them, so you can see which content earns visibility. Its REST API and 23-tool MCP server let you bring that data into your own reporting.
From insight to action
This depends on what the fix is. Adobe wins on fixing pages you already have. It serves optimized content to AI agents at the CDN edge, resolves technical issues like blocked crawlers, missing structured data and 404s, and updates content in AEM. It also generates content for Wikipedia, YouTube, Reddit and earned media, and it produces prioritized briefs. Writing full on-site articles is not described, and a G2 reviewer asked for a writing assistant.
AthenaHQ wins on producing new pages. Its Content Hub writes full articles from an approved brief with brand kits, approvals and version history, and publishes to eight CMSs. Repurposing into social or email formats is not documented. Enterprise adds the Athena Citation Engine and a Recommendation Engine for prescribing fixes.
What DeepSmith does: DeepSmith goes from tracked prompt to published article in one platform. Opportunity Agents return ideas with the data point that justifies each, the Writer produces a publish-ready, internally and externally linked article with a cover image and metadata, and Apps Library turns it into LinkedIn, X, newsletter and other channel versions. Autowrite can run the whole thing on a schedule.
Which should you choose
- DeepSmith fits marketing and content teams that want AI answer tracking and finished, repurposed articles from one self-serve plan, whether or not they use Adobe, and that want to see the price before they talk to anyone.
- AthenaHQ fits teams that want the broadest engine list on a published plan, a free starting point and a Content Hub, and can live with credit metering. In an AthenaHQ or Adobe Brand Visibility choice without Adobe products, it is the one you can actually buy and start.
- Adobe Brand Visibility fits large enterprises already on AEM, Adobe Analytics or Customer Journey Analytics, with IT able to handle CDN log forwarding and a sales-led contract, and where revenue attribution and edge fixes are the priority.
Start a free trial of DeepSmith at app.deepsmith.ai and see tracking and a first batch of ideas for your own site before you pay.



