AI visibility tools for agencies in 2026: which monitors have agency tiers, the honest white-label reality, and delivering monitoring plus fixing per client.
Agencies buy AI visibility tooling differently than a single brand does. A brand answers one question for one site. An agency answers it for ten or thirty sites, packages the answer in something a client will read, and does it at a per-client cost that still leaves margin. Tools that win a solo founder fall apart at that scale: seat caps, single-site dashboards, and no way to put your own logo on the report.
One disclosure up front. Crawlytics published this post and appears in it. I have tried to be straight about where it fits and, more importantly, where it does not yet fit for agency work, because the white-label story in this category is full of overclaims. Treat every pricing and feature note as "check the vendor's own page before you buy," since most numbers here are current as of June 2026.
Five things separate an agency-grade tool from a single-seat one. Miss two of these and it will not survive a real client roster.
Multi-client, multi-site management from one login. No juggling thirty browser profiles. Each client site needs to be its own entity with its own data, config, and history, reachable without logging in and out.
Client-ready reporting. Raw dashboards are for you. Clients need something framed: a trend, a before-and-after, a number that maps to the retainer. Whether that is a branded PDF, an exportable view, or a live portal varies wildly by tool, and this is exactly where vendors oversell.
Sane price-per-client. A tool that costs $99 per brand per month destroys margin at scale. The economics that work for agencies are steep volume discounts or flat per-workspace pricing where adding a client is nearly free.
White-label, or at least de-branded output. Some agencies need a fully white-labeled client portal. Many just need a report that does not scream a competitor's product name. These are very different asks, and almost no tool delivers the full portal version honestly.
Grounded data you can defend. When a client pushes back on a number, "the vendor sampled some prompts" is a weak answer. Data drawn from the client's own server logs and crawl set is auditable, and it holds up in a renewal. More on why AI share of voice is a shakier number than vendors admit.
Every AI-visibility retainer is really two jobs stacked together, and conflating them is the most common buying mistake agencies make.
Job one is monitoring. Is this client showing up when someone asks ChatGPT, Perplexity, or Google's AI surfaces a question in their category, and how do they compare to the competitors the client cares about? This is share-of-voice work, and it is what the dedicated prompt-sampling monitors are built for. They run scheduled prompts across multiple assistants and log whether the client got mentioned and who got cited instead.
Job two is fixing. When monitoring says the client is invisible, why? Usually because AI bots cannot reach or parse the pages: prices render client-side, there is no llms.txt, the content is not in the server HTML, or robots.txt quietly blocks GPTBot. Fixing means tracking which bots hit which pages, serving those bots a clean version of the site, and proving the reach improved. That data source is the client's own server logs, not a vendor's prompt list.
Why this matters for tool selection is blunt. A prompt monitor structurally cannot read your client's server logs or serve their llms.txt, and a serve-and-track tool does not sample dozens of prompts across five assistants. You will likely buy one of each. The mistake is buying two monitors and wondering why none tells you how to fix anything, which is the diagnose-but-don't-fix problem multiplied across every client.
Split by the two jobs. For monitoring, buy a dedicated monitor with an agency tier. For serve-and-track, this is where Crawlytics fits.
Otterly.ai is a prompt-sampling monitor that tracks brand mentions and cited sources across the major assistants, and it markets to agencies with tiers above its ~$29/mo Lite plan, climbing to roughly $189 and $489 as of June 2026. It also ships a Crawlability Checker for AI-readiness factors. Confirm seat and prompt caps per tier on otterly.ai before you commit a client roster.
Peec AI is a Berlin-built monitor aimed squarely at marketing teams and agencies, with plans from roughly €89/mo to €499+ as of June 2026, and it added Crawl Insights to read server logs. Worth knowing: Peec publicly calls llms.txt "a distraction," so it is a monitoring-first buy, not a fixing tool. See peec.ai for current agency tiers.
Scrunch AI is the most full-featured of this group: share-of-voice plus agent-traffic log analytics plus an edge layer that serves clean HTML to agents, with plans from around $250/mo as of June 2026. Two caveats. It does not do llms.txt or WebMCP commerce, and it was acquired by Sitecore (around $225M, early June 2026) and is moving upmarket, which may vacate the affordable self-serve lane agencies liked. Check scrunchai.com for where pricing and positioning land post-acquisition.
AthenaHQ is a share-of-voice monitor with optimization recommendations, priced from roughly $295/mo toward enterprise as of June 2026, with LLM-traffic analysis gated to its top tier. It fits agencies serving larger brands with a real budget line. Pricing on athenahq.ai.
All four manage multiple client brands in one account on their agency or unlimited-seat plans. Which one wins comes down to the assistants you need covered, the prompt and seat caps, and whether you also want the monitor to dabble in readiness. For a deeper monitor-versus-monitor view, see our best AI brand monitoring tools breakdown.
Crawlytics is built for the fixing job, and its agency fit is the multi-site workspace. Instead of sampling prompts, it reads each client's real AI-bot traffic from server logs, so you see which crawlers (GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot) fetched which pages and how often. From the same workspace it generates and serves each client's llms.txt, serves clean HTML and markdown to AI fetchers, and exposes WebMCP commerce snippets where relevant. Because it both generates llms.txt and reads the logs, it surfaces the llms.txt Coverage Gap: pages you declared that no bot actually fetched. A standalone generator cannot do that.
The multi-site economics are the agency hook. Growth covers 5 sites, Scale covers 25 sites, and Custom is unlimited and contact-priced ([email protected]), aimed at agencies and multi-brand operators. Pricing is flat per workspace with no per-event fees, so the more clients you load, the lower your per-client cost falls. You can run a different installer per site, so a Shopify client, a WordPress client, and a custom-stack client each get the right setup from one login. The free Agent-Ready Grader also gives you a fast, itemized readiness score for any prospect before they sign, which doubles as a pitch asset.
The honest con for agencies: Crawlytics is lighter on multi-prompt brand-mention sampling than a dedicated monitor, and (covered next) it does not yet ship a white-label client portal. It is the fix half of the stack, not the share-of-voice half. See current tiers on the pricing page and the multi-site feature page for how workspaces are structured.
This is the section most roundups get wrong, so here is the unvarnished version. "White-label" means three different things in this category, and vendors blur them on purpose.
De-branded reports are the easiest: a PDF or export with the vendor's name stripped or your logo added, that you hand to a client. Several monitors offer some form of this on agency tiers as of June 2026, but the level of branding control varies, so ask each vendor to show you an actual exported file before you trust the marketing copy.
A white-label client portal is the hard one: a live, logged-in dashboard your client opens under your domain and brand, with your colors and no trace of the underlying tool. Very few tools deliver this honestly, and it is usually reserved for the most expensive enterprise tier. When a vendor says "white-label," ask specifically whether they mean an exported file or a live branded portal, because the gap between those is enormous.
Where Crawlytics actually stands: Crawlytics has the multi-site workspace and the Custom unlimited tier, but it does not ship a fully white-labeled, embeddable client dashboard today. That is on the roadmap, not live, and I am not going to pretend otherwise. What you can deliver right now is the data and the reports: run and monitor every client site in one workspace, then export and screenshot the readiness scores, bot-coverage views, and before-and-after deltas into your own branded deck. For many agencies that is enough, because the client cares about the story and the numbers, not which dashboard they came from. But if your pitch hinges on a client logging into a portal that looks like your product, Crawlytics is not that yet. Buy it for the workspace and the grounded data. We go deeper on the export-and-brand workflow in white-label AI search reports.
The per-client number is what decides margin, and it works differently for the two jobs.
Monitoring tends to price per brand or per seat. If an agency tier is, say, $189/mo for ten brands, your per-client monitoring cost is around $19. If it is $99/mo for one brand, it is $99 per client and your margin evaporates. Read the cap, not the headline price. The cheapest sticker can be the most expensive per client once you account for how many brands it actually covers.
Serve-and-track prices per workspace, so it gets cheaper as you grow. With Crawlytics, Scale at 25 sites means your per-client cost is the Scale price divided by your client count: load it with five and the per-client cost is high, load it with 25 and it drops sharply. Custom (unlimited) flips the math entirely, since past a certain client count an unlimited contact-priced workspace beats any per-brand monitor on the fixing side. Per-event and per-brand pricing punishes scale; flat per-workspace pricing rewards it.
A realistic two-line stack for a ten-client agency: one monitor on an agency tier for share-of-voice, plus one Crawlytics workspace (Scale or Custom) for serve-and-track. Divide each by ten for your blended per-client cost, then set the retainer above it. If a client only needs the fix work, run just the workspace and skip the monitor for that account.
Do not roll a new stack across every account at once. Prove it on one client first, in four steps.
Step one: baseline. Run the free Agent-Ready Grader on the client site and record the score and findings, and in parallel capture a starting share-of-voice read from your monitor. Now you have a two-sided baseline: how reachable the site is for bots, and how visible the brand is in answers.
Step two: fix the reachable problems. Ship the concrete items the grader surfaces: generate and serve llms.txt, get key facts into the server-rendered HTML, serve clean HTML to AI fetchers, and unblock any AI bots that robots.txt was quietly refusing. These are levers, not vibes.
Step three: watch the data move. Over the following weeks, track AI-bot crawl coverage in the workspace and re-run the grader. Bot reach and the readiness score are the leading indicators; the monitor's mention trend is the lagging one.
Step four: package the before-and-after. Pull the readiness delta and the bot-coverage change into your own report, alongside the monitor's mention trend, and present it. That before-and-after is your renewal argument and your template for every other client. For framing the dollar story, see prove GEO ROI to clients, and for the shift driving all of this, how AI search changes the SEO funnel. When you are ready to scope a rollout, book a demo.
Written by Crawlytics Team. Crawlytics tracks AI bots, generates llms.txt, and powers WebMCP commerce, all from one snippet on any stack. See how it works →
There is no single best tool, because agencies deliver two different jobs. For tracking client brand mentions across AI assistants, a dedicated prompt-sampling monitor with an agency tier (Otterly, Peec, Scrunch, or AthenaHQ as of June 2026) is the right pick. For proving AI bots can reach and use client pages, and for serving llms.txt and clean HTML, Crawlytics runs many sites in one workspace. Most agencies run one of each.
Partially, and it depends on the tool. Several monitors offer white-label or branded PDF exports on their agency tiers as of June 2026, so confirm with each vendor. Crawlytics does not yet ship a fully white-labeled, embeddable client dashboard; what is available today is a multi-site workspace plus reports you can export and screenshot under your own deck. A true client portal is on the Crawlytics roadmap, not live.
Budget roughly $20 to $100 per client per month for monitoring depending on prompt and seat caps, and a separate flat cost for serve-and-track. Crawlytics charges per workspace, not per event: Growth covers 5 sites, Scale covers 25 sites, and Custom is unlimited and contact-priced, so per-client cost falls as you add clients. Divide the workspace price by your client count to get your true per-client number.
Tie a baseline to a measurable change. Start by recording each client AI-bot crawl coverage and agent-readiness score, ship fixes (llms.txt, server-rendered facts, clean HTML), then show the before-and-after in bot reach and answer mentions. Server-log data is auditable, so it survives client scrutiny better than a vendor-chosen prompt score. Pair the readiness delta with the monitor mention trend for a two-sided story.
Yes. Crawlytics multi-site workspaces are built for this: Growth covers 5 sites, Scale covers 25, and Custom is unlimited and contact-priced for agencies. You can run a different installer and configuration per site from one login. On the monitoring side, the agency tiers of Otterly, Peec, Scrunch, and AthenaHQ also manage multiple client brands in one account as of June 2026.
This page is part of Crawlytics.app. View all pages: llms.txt · llms-full.txt