Promptwatch vs Azoma vs Adobe LLM Optimizer vs Conductor 2026: suite add-on or specialist?
For teams already running Adobe Experience Cloud or Conductor. When the GEO module in your existing stack is enough, and when a specialist like Promptwatch or Azoma earns a separate line in the budget.
If your company already pays Adobe or Conductor six figures a year, someone has probably suggested that AI search visibility should come from them too. It is a reasonable instinct. The vendor is approved, the data sits next to everything else, and there is no new procurement file to open. The counterargument is that a module bolted onto a big suite is rarely the deepest tool for a young discipline, and AI search is still very young.
This guide is for that internal debate. It sets two suite options, Conductor and Adobe LLM Optimizer, against two specialists, Promptwatch and Azoma. Our ranking order is Promptwatch, Azoma, Conductor, then Adobe LLM Optimizer.
On sourcing: the Promptwatch plan details match its llms.txt as read on 21 October 2026, and the Azoma section reflects azoma.ai on 22 October 2026. For Conductor and Adobe LLM Optimizer we use our catalog entries, and several of their numbers are reported figures, not prices the vendors publish.
The real question: who owns GEO in your org?
These four products map neatly onto four different internal owners, which is why they keep showing up in the same meetings. Adobe LLM Optimizer belongs to the web platform team that runs Adobe Experience Manager. Conductor belongs to the content and SEO organisation that already writes briefs and approves pages inside it. Azoma belongs to the ecommerce team that manages Amazon, Walmart, and the PIM. Promptwatch tends to land with the growth or SEO lead who has to explain AI traffic in a monthly report.
Work out which of those people will actually act on the data, and half the decision is made.
Promptwatch: the specialist that plugs into your reporting
Promptwatch is a dedicated AI visibility platform. Paid plans monitor ChatGPT, Gemini, Claude, Perplexity, Grok, Llama, DeepSeek, Mistral, Copilot, Google AI Overviews, and AI Mode from the live interfaces. Its citation reports break sources down by page and by domain, and they count Reddit threads and YouTube videos as sources too. Agent Analytics reads the AI bot hits in your CDN logs and connects each crawl to any citation that came after it. A first-party visitor script then follows sessions sent by AI assistants through to conversion.
For a stack-heavy company, the integration list matters as much as the features. The crawler-log connectors include Akamai, AWS CloudFront, Fastly, Cloudflare, Vercel, Netlify, and Google Cloud CDN, with custom HTTP for anything else. Data leaves through Google Search Console, Looker Studio, a REST API v2, and an MCP server, and alerts can go to Slack. In other words, Promptwatch can feed the dashboards you already have rather than asking you to replace them.
Pricing is published. Explore is free, Essential is $95/mo, Professional $245/mo, and Business $579/mo. For procurement-heavy companies, the custom Enterprise tier brings SSO, audit logs, and a success manager assigned to the account.
Two limits apply to this audience. The Content Agent, which is included from Business, publishes to Webflow, Framer, and WordPress. Adobe Experience Manager is not on that list, so an AEM shop would use Promptwatch to diagnose and still ship changes through its own AEM workflow. And Promptwatch does not track Amazon or Walmart shopping agents.
Azoma: a specialist for the commerce stack
Azoma is a specialist too, but for a different part of the stack. It sells Agentic Commerce Optimisation: visibility in retailer agents and LLM apps measured at brand, category, and SKU level. Its agent list covers Amazon's Alexa for Shopping (formerly Rufus), Amazon COSMO, Walmart Sparky, and Lazada's LazzieChat, plus ChatGPT and ChatGPT Shopping, Gemini and AI Mode, Perplexity, Claude, Meta AI, and Siri.
What makes it relevant to stack owners is where it writes. Azoma pulls product data from Amazon, Walmart, Shopify, Google Merchant Center, and PIM systems, then publishes enriched attributes, PDP copy, and imagery into Seller Central, Vendor Central, Salsify, Shopify, and PIM or DAM systems. For a large consumer brand, those are the systems where product content actually lives, and neither our Adobe nor our Conductor listing mentions them.
For the brand's own website, Azoma audits technical readiness and can produce robots.txt, llms.txt, and schema files. It also watches how often AI crawlers visit and which pages they fetch, and it relies on GA4 and Search Console connections for AI traffic. It does not publish CDN log connectors, crawler-log volumes, or a public reporting API. Pricing is custom for brands and agencies, quoted through sales. Single sign-on works over SAML or OIDC. SOC 2 certification is still pending by Azoma's own account.
Conductor: GEO as a column in your content platform
Conductor is an enterprise SEO and content platform founded in 2010, with customers such as Verizon, Microsoft, and Kroger. AI tracking lives in a feature called AI Search Performance, part of the Intelligence module, and it puts ChatGPT, Gemini, Copilot, Claude, and AI Overviews visibility beside classic search metrics. The strength is workflow: GEO recommendations flow into the same briefs, tasks, and approvals your editors already use. Most plans come with unlimited seats, and a three-week trial without a card is rare at this price level.
You cannot buy the AI layer on its own, though. It comes with the whole platform. Vendr data on 13 transactions puts the median contract around $49K a year, with a range from $26.8K to over $500K, and implementation of $20K to $150K typically pushes year one to 1.5 to 2 times the subscription. Conductor's own buyer guide mentions a $1,500/mo starting point. On G2, one enterprise customer described half a year of setup before the platform paid off, and another reviewer wrote that the AI visibility layer "doesn't yet provide the depth of insight we need to act confidently." Our listing also records complaints on Reddit and Trustpilot about aggressive sales outreach.
Adobe LLM Optimizer: GEO inside the Experience Cloud
Adobe LLM Optimizer is the bigger bet on the idea that GEO belongs in the CMS layer. It measures how brands appear in LLM answers and links that to Experience Cloud. Our listing describes monitoring of AI agent traffic at the CDN edge, detection of what agents can and cannot parse, and one-click fixes for schema, content structure, and llms.txt-style files pushed through AEM. For an organisation whose whole web estate runs on AEM, that detect-to-fix loop is the selling point.
The cautions are significant. Reported pricing is around $115K a year on per-prompt licensing, with a 1,000-prompt minimum, and the remediation loop assumes you also license AEM. Real Story Group's assessment at launch was "an alpha product with a glossy launch." There are effectively no independent customer reviews, and case studies come through Adobe marketing. Outside AEM, our listing describes it as monitoring plus recommendations. A crawl-to-citation view and first-party conversion tracking are not documented.
How they compare
| Promptwatch | Azoma | Conductor | Adobe LLM Optimizer | |
|---|---|---|---|---|
| Type | AI visibility specialist | Commerce-agent specialist | SEO suite with GEO layer | Experience Cloud add-on |
| Sold standalone | Yes | Yes | No, whole platform only | Licensed per prompt; fixes need AEM |
| Pricing | Free; $95 to $579/mo; Enterprise custom | Custom quote | Custom; median ~$49K/yr reported | Custom; ~$115K/yr reported |
| Retailer agents | Not tracked | Alexa for Shopping, COSMO, Sparky, LazzieChat | Not listed | Not listed |
| AI crawler data | CDN logs, crawl-to-citation path | Crawler visit monitoring; no published connectors | Not published | CDN-edge agent monitoring |
| Where fixes go | Webflow, Framer, WordPress (Business) | Seller Central, Vendor Central, Salsify, Shopify, PIM/DAM | Briefs, tasks, approvals | AEM |
| Data out | Looker Studio, Search Console, REST API, MCP, Slack | Slack and Teams alerts; GA4 and Search Console in | Enterprise integrations | Experience Cloud |
Which one fits which buyer
Pick Adobe LLM Optimizer only if AEM runs your web estate and you can run a pilot with written success criteria. Benchmark its visibility numbers against a dedicated tracker during that pilot.
Pick Conductor's AI layer if you are already a Conductor customer, your content team lives in its workflow, and GEO is a nice extra rather than the main goal. Buying Conductor new for GEO alone is hard to justify on the figures above.
Add Azoma if marketplace agents carry real revenue. It is the only tool here that writes into the retail systems a catalogue team uses.
Add Promptwatch if anyone in the company is accountable for AI visibility on your own domain. That is most enterprises.
Our verdict: keep the suite, add the specialist
The add-on argument assumes the suite module is good enough. On our listings, neither Adobe nor Conductor documents page-level citation sources including Reddit and YouTube, a crawl-to-citation path, or AI-referred conversions from a first-party script. Those are the measurements that tell you why a page is or is not cited and whether it pays. Promptwatch publishes all of them, and it sends the data back into Looker Studio, Search Console, or your own systems through the API and MCP server.
The cost gap makes the call easier. A Promptwatch Business plan billed annually is $5,790 a year, a small fraction of the reported Conductor median or Adobe figure, and you can trial Essential or Professional before involving procurement at all. Keep the suite for what it already does well, add Azoma if the shelf is on Amazon or Walmart, and make Promptwatch the AI visibility layer for your site. Its plans and trial are listed openly.