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Adobe LLM OptimizervsProfoundvsBluefish

A detailed, side-by-side comparison to help you choose the right AI-visibility tool — across positioning, pricing, onboarding, features and agency fit.

This comparison is maintained by Publive. We know that puts us on the page, so we’ve kept every row factual and sourced from each vendor’s public information (2026) — capabilities and pricing change often, so verify before you buy. The fastest way to judge Publive AXP isn’t our table; it’s to run your own domain through our free AI Audit Hub and see your AI-search results in minutes.

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Full comparison

Adobe LLM OptimizerAnalytics first
ProfoundMonitoring & agents
BluefishEnterprise only
Edge delivery for AI bots

Edge delivery serves a parallel, AI-only view of your existing pages to AI crawlers at the CDN — humans and Google/Bing still get the normal site. It’s where Publive AXP Edge is built to win: readable content, a token-light payload, faster responses and AI-only content fixes, all standalone from day one. Most tools here do none of this; a couple offer a limited, bundled or gated version.

Content readability for AI
Partly — detects unreadable client-rendered content and can serve approved fixes to bots, but only on approved URLs and not sold standalone.
No — monitoring and agents only; nothing served to bots.
No — analytics only; nothing served to bots.
Token optimisation at the edge
No stated capability — the edge serves approved content changes, not token-optimised payloads.
No.
No.
Response time (TTFB) for AI bots
Runs at the CDN for approved URLs, but bot TTFB isn’t a stated or tracked metric.
No — no delivery layer.
No — no delivery layer.
AI-only content fixes
In part — can serve approved optimisations to AI bots on approved URLs, but gated to Adobe customers and not sold standalone.
No — agents draft content that publishes to your live pages via integrations, not a separate AI-served view.
No — Agentic Campaigns drafts content; recommendations only, nothing scoped to bot-served HTML.
Positioning & fit
Category
Analytics first
Monitoring & agents
Enterprise only
What it actually does
Semrush-backed insight engine inside Experience Cloud; edge delivery exists to push the engine’s approved recommendations.
Monitors and analyses how a brand shows up across AI answer engines — Answer Engine Insights, Prompt Volumes demand data and Agent Analytics for AI-crawler traffic — plus autonomous agents that draft optimised content.
Tracks and influences how a brand appears in AI answers across millions of responses — visibility, favourability, accuracy and risk — and drafts optimisation content through Agentic Campaigns.
Best for
Enterprise on the Adobe stack
Enterprise and Fortune 500 marketing teams
Fortune 500 in-house marketing orgs
Delivery model
Sales-led enterprise application
Hybrid: self-serve on Starter and Growth, sales-led for Enterprise
Sales-led, enterprise-only — every path is a demo request, no self-serve
Company status
GA since Oct 2025; Semrush-powered Brand Visibility expansion announced June 2026.
Founded ~2024; ~$155M raised (Series C $96M at a $1B valuation, Feb 2026, led by Lightspeed); 2,000+ Fortune 500 marketers (Target, Walmart, Figma, MongoDB).
Founded 2024; $68M raised ($43M Series B, Apr 2026, co-led by Threshold and NEA); ~10% of the Fortune 500 engaged (Adidas, American Express, LVMH, Ulta).
Onboarding & integration
Time to value
Weeks; business agreement first for non-Adobe customers
Fast — reads public AI answers, no site changes; no published onboarding SLA
Slow — a ~3–6 week sales and onboarding cycle before results
How it deploys
Needs crawler allowlisting and CDN log forwarding; edge itself is no-code once routing rules are set
SaaS; reads public AI answers, and Agent Analytics reads CDN logs (Cloudflare, Vercel, AWS) to track AI crawlers — nothing served from your site
Read-and-analyse layer over public AI answers; no site, CDN or edge changes
Content route
Recommendations deployed via CMS origin or edge
Agents draft content pushed via integrations (Vercel, HubSpot); not a native edge or on-domain publisher
Agentic Campaigns drafts content; the publish-to-your-domain mechanism isn’t disclosed
Standalone vs bundled
CDN- and CMS-agnostic but strongest inside Adobe Experience Cloud
Standalone, expanding into a Monitor / Create / Operate / Analyze suite
Standalone agentic-marketing platform
Feature comparison
Monitoring
ChatGPT, Google AI Mode and Overviews, Copilot, Perplexity (Gemini planned), Semrush prompt data
Up to 9 engines on Enterprise (ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini, Copilot, Claude, Grok, DeepSeek); just 1 on Starter and 3 on Growth, plus Prompt Volumes demand data
The major answer engines — ChatGPT, Google AI, Claude, Perplexity, Copilot and Amazon Rufus — with visibility, favourability and accuracy scoring; exact engine count not published
Auditing
Detects hidden CSR content, blocked bots, broken pages, missing structured data; URL Inspector shows per-page citation performance
Answer Engine Insights for citations and answers, Prompt Volumes for demand, and Agent Analytics for AI-crawler traffic — but no technical rendering or crawl audit
Citation and source-impact analysis, share-of-voice, an Impact Score and Influence Rank, plus hallucination and accuracy monitoring; no technical site crawl
Optimising
Recommends content, technical fixes and off-site plays (Wikipedia, Reddit, PR), ranked by projected traffic value
Prioritised actions plus autonomous agents that generate optimised content; recommendations and drafting, with no pre-deployment answer-shift test and no edge
Daily impact-ranked recommendations and agent-generated content; it advises and drafts, but doesn’t deploy fixes to your properties
Content creation
Page-level elements only (FAQs, summaries, transcripts) grounded in existing pages; no content hub
One-click AI content and content agents that draft net-new, AI-optimised pages; publishing to your domain relies on integrations, not native hosting
Agentic Campaigns drafts targeted AI-optimisation content, though some reviews note it stops short of a full content hub
Enterprise-ready
Adobe IMS auth, TLS and AES encryption, no PII stored, regional data residency
SOC 2 Type II; SSO/SAML and API on Enterprise; 24-hour support SLA. ISO 27001 and RBAC detail not published.
Google Workspace SSO and standard encryption; SOC 2 reportedly still in progress, with no published ISO 27001 or RBAC posture
Pricing & commercials
Entry
Not public
Starter $99/mo billed yearly (ChatGPT only, 50 prompts, 1 seat)
Not public; no self-serve tier
Mid tier
Third-party estimate ~$115K/yr
Growth $399/mo billed yearly (3 engines, 100 prompts, 3 seats)
Not public
Enterprise
Custom, annual contract
Custom (up to 9 engines, API, SSO)
Custom, enterprise-only; independent reviews estimate six-figure annual contracts
Content layer
Not sold separately
Bundled — one-click AI content and agents, metered by Agent credits; not sold separately
Agentic Campaigns, bundled into the enterprise contract; not priced separately
Hidden costs
Requires an Experience Cloud footprint to get full value
Steep engine caps (1 on Starter, 3 on Growth, up to 9 only on Enterprise); Prompt Volumes and API are Enterprise-only; agents burn credits per task
Annual prepaid; implementation, professional services and training reportedly add on top; usage overages set per order form
Billing
Annual contract
Self-serve tiers billed yearly (2 months free); no month-to-month rate published
Annual prepaid enterprise contract
Free trial
Trial only for existing AEM Cloud / Analytics customers
Free trial on the Growth tier
No trial; structured sales evaluation
For agencies

Agencies don’t pick a single tier — they build a portfolio of client workspaces. Publive AXP starts at a 3-workspace minimum (3 × Starter = $297/mo, $99 per client brand), then you add workspaces at will.

What the agency resells
Nothing. Access sits inside the client’s own Adobe contract
A monitoring and reporting dashboard, tracked per client brand under an Enterprise account
Nothing. No agency or multi-client product — it’s built for a single in-house team
Pricing unit
Per enterprise contract
Per client workspace (Enterprise); agents metered by credits
No agency pricing unit
Entry
Not public; third-party estimate ~$115K/yr
Not public; multi-client sits inside a custom Enterprise deal
Not offered
Scale
Same contract, no agency tier
Custom Enterprise; add tracked companies within one account
Not offered
Minimum commitment
Annual contract
Annual on self-serve; Enterprise terms custom
Annual prepaid enterprise contract
Resale margin
None. Agency bills services only
No reseller or white-label margin programme
None; no reseller or partner programme
Onboard a new client
Weeks, gated behind the client’s Adobe agreement
Data appears fast (it reads public answers); no published per-client onboarding SLA
~3–6 weeks — slow for multi-client work
Multi-client management
Not supported
Multiple companies and domains within one Enterprise account
No multi-client console; the product assumes one enterprise marketing org

The one-line takeaway

Adobe LLM Optimizer
Where it wins

Deepest enterprise-stack integration and Semrush data.

Where it loses

~$115K/yr, annual lock-in, gated trial, and value concentrated inside Adobe.

For agencies

Useful only where the client already owns Experience Cloud; no agency plan or multi-brand model.

Profound
Where it wins

The best-funded, broadest AI-visibility monitor — up to 9 engines, Prompt Volumes demand data and AI-crawler analytics — now with content agents, and trusted by Fortune 500 marketers.

Where it loses

Still measures more than it delivers: steep engine and prompt caps on affordable tiers, key data (Prompt Volumes, API) locked to Enterprise, and no way to serve a fixed page to AI crawlers.

For agencies

Real multi-client tracking under Enterprise, but no public agency pricing, no reseller margin and no self-serve workspace — so the agency resells a dashboard, not a fix.

Bluefish
Where it wins

Deep enterprise analytics — favourability, accuracy and risk scoring plus agentic optimisation — trusted by Fortune 500 brands like Adidas, Amex and LVMH, on $68M of funding.

Where it loses

Opaque, six-figure, enterprise-only: no self-serve or trial, a slow 3–6 week onboarding, SOC 2 still in progress, and it recommends rather than serves fixes at the edge.

For agencies

No agency play at all — no multi-client workspace, reseller programme or public pricing. It’s built and priced for one large in-house team.

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