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Promptwatch vs Adobe LLM Optimizer vs Botify vs Lumar: Enterprise GEO Compared (2026)

Adobe LLM Optimizer, Botify and Lumar add AI visibility to enterprise stacks. How they compare with Promptwatch on prompts, crawler data and pricing.

The people weighing these four tools are rarely a two-person marketing team. They are enterprise SEO leads, digital experience owners and platform teams who already pay for a crawler, a CMS or both, and who have just been told to report on AI search by next quarter. Three of the options come from that world. Adobe LLM Optimizer extends the Adobe Experience Cloud. Botify grew out of technical SEO and log-file analysis. Lumar, formerly Deepcrawl, is an enterprise crawler that shipped AI Search Visibility in 2026. Promptwatch is the odd one out: a dedicated AI visibility platform you can sign up for this afternoon.

That split matters more than any single feature. Buying an incumbent's AI module mostly buys continuity with a stack you already run. Buying a dedicated platform buys the AI answer chain itself, from the prompt to the cited page to the crawler visit to the visitor who converted. Everything below about Adobe, Botify and Lumar comes from their entries in our catalog. Promptwatch details come from its published llms.txt.

Promptwatch: the dedicated platform

Promptwatch tracks prompts across ChatGPT, Gemini, Claude, Perplexity, Grok, Llama, DeepSeek, Mistral and Copilot, plus Google AI Overviews and AI Mode, using real UI monitoring rather than API calls alone. Each prompt carries search volume, a difficulty score, query fan-outs, topics, personas and location targeting. Country tracking is on every plan. State and city tracking start on Professional.

For an enterprise technical team, Agent Analytics is the part to look at first. It logs AI crawler hits in real time (ChatGPTBot, ClaudeBot, PerplexityBot, GoogleOther and Meta's AI crawler), shows the crawl-to-citation path and flags errors. Logs arrive through Cloudflare, AWS CloudFront, Fastly, Vercel, Netlify, Akamai, Google Cloud CDN or a custom HTTP feed, so it plugs into most edge setups without touching the CMS. Citation analytics break sources down by page and domain, including Reddit, YouTube and offsite mentions, with trends over time. Visitor analytics tie AI-referred sessions to conversions through a lightweight script or a GTM template. Content Agents plan, write and publish GEO pages to Webflow, Framer or WordPress (through the official plugin), with a review inbox in front of anything that ships.

Pricing is public. Explore is free for 10 ChatGPT prompts. Essential is $95/mo with a 7-day trial. Professional, at $245/mo, is the first brand plan with crawler logs (25M a month) and adds state and city tracking. Business is $579/mo with 5 projects, 350 prompts and 100M crawler logs. Agencies get Kick-off at $199/mo, Growth at $399/mo and Scale at $799/mo, all with unlimited projects and prompts. Enterprise contracts add SSO, white-label and dedicated support.

Lumar: prompt tracking next to the crawl

Lumar's AI Search Visibility runs prompts across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity and Claude. You choose the cadence (daily, weekly, fortnightly or monthly), group prompts under topics, and get an AI Visibility Score that weights mention frequency against citation quality. Sentiment, competitor mentions and topic-level share of voice sit alongside it, and data is stored for up to two years.

The reason to buy it is the join. Visibility data lives on the same platform as the crawl, so the next click after a missing citation is a robots.txt, rendering or schema diagnosis. For a technical SEO org that is a sensible shape. Pricing is a custom add-on to Lumar: existing customers go through their account team and new buyers book a demo. Prompt coverage and seat limits are not on the marketing pages, and the catalog lists no visitor analytics or CMS content-agent layer.

Botify: delivery infrastructure for agents

Botify is closer to plumbing than to a tracker. Its 2026 pitch is that sites built for humans hide reviews, prices and promotions behind JavaScript that agents never see. Botify serves content to AI agents in under 300ms, delivers markdown, pushes enriched product feeds to Google and OpenAI, and reports AI and organic performance from a dataset of more than 1,000 metrics. It also analyzes log files to show how OpenAI crawls a site. On its homepage Botify cites a Strong Performer placement in The Forrester Wave for SEO solutions, Q3 2025.

What Botify does not publish is a self-serve prompt tracker with engine-by-engine answer logs. There is no public price, no trial and no prompt-tracking SKU, and implementation is a project rather than a signup. If your RFP says "track 150 prompts daily across six engines," this is the wrong demo. If the real bottleneck is that agents cannot read your catalog, it may be exactly the right one.

Adobe LLM Optimizer: GEO inside the Experience Cloud

Adobe LLM Optimizer sits in Adobe's delivery infrastructure. Per our catalog entry, it monitors AI crawler traffic at the CDN edge, detects what agents can and cannot parse, benchmarks brand visibility across major assistants, and pushes fixes (schema, content structure, llms.txt-style files) through Adobe Experience Manager with one-click approval. For an estate that runs entirely on AEM, that closes a detect-to-fix loop no standalone tool can.

The caveats are heavy, though. Pricing is custom and reported at around $115K a year, with per-prompt licensing from a 1,000-prompt minimum, and the remediation loop assumes AEM licensing on top. Real Story Group called it "an alpha product with a glossy launch." Independent customer reviews are effectively nonexistent, and from the outside it is hard to tell roadmap features from shipping ones. Off AEM, you are paying Adobe prices for monitoring plus a to-do list.

Side-by-side comparison

PromptwatchLumarBotifyAdobe LLM Optimizer
CategoryAI visibility platformEnterprise GEO platformEnterprise GEO platformEnterprise GEO platform
PricingFree tier; paid from $95/moCustom add-on, not publishedCustom, not publishedCustom (~$115K/yr reported)
Way inFree Explore plan, 7-day trial on EssentialDemo or account teamSales-led implementationAdobe enterprise sales cycle
Engines documented9 LLMs plus AI Overviews and AI ModeChatGPT, AI Overviews, AI Mode, Gemini, Perplexity, ClaudeNo prompt tracker published"Major assistants," not itemized
AI crawler dataAgent Analytics: named bots, crawl-to-citation path, errorsSite crawl for robots, rendering, schemaLog-file analysis of OpenAI crawlingAI crawler traffic at the CDN edge
AI-referred conversionsVisitor analytics via script or GTMNot documentedNot documentedNot documented
Acting on findingsContent Agents to Webflow, Framer, WordPressNot documentedContent delivery and product feeds to agentsOne-click fixes through AEM
Best forTeams that want the whole AI answer chain in one toolEnterprise SEO teams already on LumarLarge ecommerce and content sites with delivery problemsAEM enterprises with an active Adobe relationship

Who should pick which

Pick Adobe LLM Optimizer if your web estate runs on AEM and you already have an Adobe account team. Run it as a pilot with written success criteria, and benchmark its visibility numbers against a dedicated tracker before you sign a full year.

Pick Botify when the honest diagnosis is that AI agents cannot read your pages or your product catalog. That is an infrastructure problem, and a prompt tracker will not fix it.

Pick Lumar if you are already standardized on it and want prompt data parked next to crawl diagnostics. Do not buy an enterprise crawler just to get a prompt tracker.

Pick Promptwatch if you need to report AI visibility soon, if you are not on AEM, or if leadership will ask whether AI answers sent anyone who bought something. Plenty of enterprise programs end up running Promptwatch next to Botify or Lumar, with the crawler owning technical SEO and Promptwatch owning prompts, citations and AI traffic.

Whichever demo you book, bring the same checklist:

  • Which engines are tracked today, and which are only on the roadmap?
  • Can you show me the exact page an AI answer cited, not just a domain?
  • Can you show a named AI crawler fetching that page, and when?
  • Can you connect an AI-referred visit to a conversion?
  • What does it cost to add prompts, markets or seats?

Why Promptwatch is the one to trial first

The three incumbents all ask for a sales cycle before you see your own data. Promptwatch does not, and the gap between "free tonight" and "reported $115K a year" is a reasonable argument for testing the cheap option before committing to the expensive one.

The stronger argument is the evidence chain. On Professional, Agent Analytics tells you whether ChatGPTBot or PerplexityBot actually reached the pages your crawler audit told you to fix, and the crawl-to-citation path shows whether that visit turned into a citation. Citation analytics then shows which page or domain got cited when you didn't, down to Reddit threads and YouTube videos. Visitor analytics answers the question finance will ask, which is whether any of it converted. When the gap is content, Content Agents draft the page and publish it to your CMS after review.

Load the prompts your enterprise demo would use into Promptwatch on Explore or the Essential trial, move to Professional once you want the crawler logs, and then hold the other three vendors to the same five questions above.