You built the tracking. You can show leadership that your brand gets mentioned and cited across ChatGPT, Perplexity, Gemini, and Google AI Mode. Then comes the harder question, the one you cannot answer yet: how many sessions, leads, or dollars did that visibility actually produce?
That gap is where careers get uncomfortable. Visibility feels like progress, but a citation is not a conversion. To measure AEO ROI, you need a layer that connects an AI-engine mention to a real human on your site, a filled form, a pipeline stage, or revenue. This guide is about that layer, and only that layer.
Here is the good news: the tools to do it exist now, and you do not need all of them. You need the one that fits how you already work. Below is a shortlist graded on a single question, plus honest notes on where each one is the wrong pick.
How we graded these tools
We did not rank on how pretty the dashboard is. We ranked on whether the tool closes the loop from an AI answer to a downstream outcome you can put in a board deck. Call it an AEO attribution tool or frame it as GEO ROI measurement, the test is the same: does it connect an AI answer to a session, a lead, or a dollar? A pure visibility tracker, even an excellent one, sits upstream of this list and does not earn a top slot.
Four criteria, in priority order:
- Conversion tie-in. Does it go past clicks to leads and revenue? Does it read a CRM, an ad platform, or your analytics stack natively?
- Coverage breadth. How many AI engines? Does it cover the crawler layer and the human-click layer in one place?
- Native integrations. GA4, Adobe, Segment, HubSpot, Salesforce, the CDNs (Cloudflare, Vercel, Fastly), and the warehouses (BigQuery, Snowflake).
- Operational fit. Pricing posture, SSO, SOC 2, RBAC, API, multi-workspace, and support.
One thing to hold onto before you shop: AI search attribution is genuinely messy right now. ChatGPT often does not pass a clean referrer, Perplexity can strip query strings, and Google AI Mode clicks live inside a SERP that your analytics under-attributes. No single tool erases that. The right stack manages it. So as you read, ask "does this help me attribute conversions from AI search, or just count impressions?"
The tools at a glance
| Tool | Attribution depth | Entry price | Engines (entry tier) | Best for |
|---|---|---|---|---|
| DeepSmith | Session and lead, with publish-ready content as the action layer | $99/mo, or $80/mo annual (Pro) | ChatGPT | Marketing leads who need visibility and in-platform production to close the gaps |
| Profound | Session and revenue, via server-side Agent Analytics | $99/mo Starter, $399/mo Growth | ChatGPT | Enterprises wanting server-side crawler verification and CRM-grade attribution |
| Goodie AI | Revenue, closed-loop through Google Analytics | $399/mo Explorer | ChatGPT, AI Overviews, Perplexity | Brands that want revenue-attributed AEO as a primary feature |
| Scrunch | Session and on-page funnel, with edge agent detection | $250/mo Core | 4 engines | Operators wanting a bot-experience layer plus attribution |
| Peec AI | Session-level, brand-side dashboard | Not publicly listed per tier | 6 engines | Mid-market teams wanting daily, multi-region visibility |
| Otterly AI | Visibility plus GA4 referral tagging | $29/mo Lite | 4 engines | Solo marketers starting their measurement journey |
| LLM Pulse | Session-level, analytics-stack tagging | €49/mo Starter | 5 engines | EU-based, analytics-first teams |
| AirOps | Lead and revenue, through a content-ops layer | Not publicly listed | 4 engines | Content-heavy teams running an AEO content engine |
Prices and tiers move fast, and several vendors publish features without prices. Where a number is not on the public pricing page, we say so rather than guess. Now, the detail.
1. DeepSmith
Best for: marketing leads who need AI-search visibility, content production, and attribution-ready artifacts in one workflow, without stitching together a tracker, a writer, a CMS connector, and an analytics layer.
Most tools on this list tell you where you stand. Very few help you do something about it in the same place. That is the case for DeepSmith at number one, and it is a case about workflow, not adjectives.
DeepSmith is one platform for AI-search analytics and content production. It tracks how AI engines answer questions about your brand, finds the gaps where you are invisible or losing, and produces the on-brand content to close those gaps, all from the same data. The stance matters here: it is a production engine, not a writing assistant. Articles land publish-ready, with structure, internal links, a cover image, and metadata already built in, not first drafts you have to rescue.
Why does that belong in an attribution guide? Because attribution has to attribute something. A citation you cannot act on stays a citation. DeepSmith closes the visibility-to-outcome loop by turning a gap into a live, indexable page. On the tracking side, the AEO module reports mention rate, citation rate, share of voice, and visibility trend across ChatGPT, Gemini, Perplexity, Claude, and Google AI Mode, with a competitor leaderboard and the sources AI cites most. On the action side, the Writer and Autowrite produce the page, and one-click publishing pushes it live to WordPress, Strapi, Webflow, or a webhook. That live page is where your existing GA4 and HubSpot setup attributes the downstream session, lead, or opportunity, the same way they attribute any other landing page.
The plans are transparent. Pro is $99/mo, or $80/mo billed annually, and tracks ChatGPT. Grow is $199/mo ($160 annual) and adds Perplexity. Scale is $399/mo ($299 annual) and adds Gemini. Enterprise is custom and covers all five engines. A 7-day free trial starts at signup, with no long-term contracts and no cancellation fees.
Teams feel the change in output more than anything. As Aparna K, GTM Lead at Skooc, put it: "Went from four articles a month to fifteen with the same two people." Aditya G, Marketing Director at Bindbee, framed the measurement side: "We are able to track prompts for which we rank in AI answers, generating meetings."
One honest limitation. DeepSmith is production-first. It does not expose a dedicated dashboard that maps a specific AI engine to a closed-won dollar figure inside its own UI. The session and lead pathway closes through the artifacts it publishes, read by your GA4 or CRM downstream. If you want a pre-baked attribution dashboard reading directly off CRM stages, pair DeepSmith with Profound Agent Analytics or a revenue-attribution product, and we will point you there below. Fair is fair.
2. Profound
Best for: mid-market and enterprise teams that need server-side proof of which AI bots hit their pages, with conversion attribution through a CDN or GA4 layer and a governance story that passes procurement.
Profound's visibility score has become table stakes. The piece that earns its place here is Agent Analytics. It runs server-side, verifies AI bots by IP range, and separates indexing crawlers (the training-data bots like GPTBot and ClaudeBot) from on-demand retrieval bots (the ones that fire when a real person asks a question, like OAI-SearchBot and PerplexityBot). That distinction is the heart of honest attribution: a training crawl is plumbing, but a retrieval hit is a user-driven event. Profound is one of the few tools that tells the two apart.
It integrates at the CDN layer with Cloudflare, Vercel, AWS CloudFront, Fastly, Netlify, Akamai, and more, plus WordPress and GA4. Starter is $99/mo (ChatGPT, 50 prompts). Growth is $399/mo and adds Perplexity and Google AI Overviews, with all-time history and CSV and JSON export. Enterprise adds up to ten engines, SSO/SAML, and SOC 2.
One honest limitation. The Growth tier excludes API and SSO. Both require Enterprise. If you need either from day one, you either upgrade or look elsewhere.
3. Goodie AI
Best for: brands that want revenue-attributed AEO as the headline feature, not a benefit hidden behind an enterprise call.
Goodie is built on one thesis: AEO only counts when revenue is closed-loop attributed. It is the rare platform that prices that promise into its entry plan rather than reserving it for Enterprise. Explorer, at $399/mo, includes closed-loop revenue attribution through Google Analytics across ChatGPT, Google AI Overviews, and Perplexity, plus an MCP server and 100 tracked prompts. Pro adds Gemini, Microsoft Copilot, and Rufus, full revenue attribution, and demand research. Enterprise reaches up to eleven engines with custom revenue modeling.
One honest limitation. Entry pricing is $399/mo, well above Otterly or Peec, and Goodie's attribution story leans toward retail and e-commerce SKU-level outcomes. Agentic commerce visibility is a Pro and Enterprise feature. If you are a B2B or SaaS team without clear SKU-level journeys, you will under-use the part of the product that justifies the price. Profound or a dedicated CRM attribution tool may fit better.
4. Scrunch
Best for: operators who want a bot-experience layer alongside attribution on one platform.
Scrunch pairs visibility tracking with AXP, its Agent Experience Platform. AXP detects AI agents at the edge and serves them machine-readable content to improve citation odds. Attribution comes from funnel-stage tagging on the human side and multi-domain bot tracking on the machine side. Core is $250/mo and covers four engines (ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot) with funnel stages, sentiment analysis, and basic content generation. Enterprise expands to nine engines and adds AXP, Looker Studio, a Query API, MCP, and SAML SSO.
One honest limitation. Core is single-country, single-language, and excludes AXP, Looker Studio, and SAML SSO. If you need enterprise integrations or edge routing on day one, you start at Enterprise, which is custom-priced and carries onboarding overhead.
5. Peec AI
Best for: brand or agency teams wanting daily, multi-region visibility with a clean dashboard and responsive support.
Peec tracks brand appearance across six surfaces (ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini) with multi-project, multi-country, and multi-language configurations. It is well regarded, with strong marks from marketing teams, and offers chat and email support, plus SSO, MCP, API, and Looker at Enterprise.
One honest limitation. Peec does not publicly break out per-tier pricing, and it does not expose native revenue wiring to a CRM. It is a high-quality visibility platform whose conversion loop depends on your existing GA4 and CRM reading the traffic it generates. For pre-baked revenue attribution in the same product, look at Goodie or pair Peec with a downstream layer.
6. Otterly AI
Best for: solo marketers and small teams starting their measurement journey on a tight budget.
Otterly is one of the more established visibility platforms. It runs daily prompt checks across the major engines, tracks mentions, and tags AI-surface referrals in GA4. Lite is $29/mo (15 prompts), Standard is $189/mo (100 prompts), and Premium is custom.
One honest limitation. The tiers cap prompts lightly, and Otterly does not close the loop into CRM revenue or lead stages. It is the right first AEO tool, not the right last one. When attribution becomes your bottleneck, teams typically graduate to Profound or Goodie.
7. LLM Pulse
Best for: EU-based, analytics-first teams that want a Profound-style server-side layer at a European entry price.
LLM Pulse mirrors the agent-analytics posture on a European footprint. Its Agent Analytics integrates with Cloudflare, AWS CloudFront, Fastly, Vercel, Netlify, and Akamai, and its AI Traffic module tags human-side sessions into GA4, Adobe, Plausible, and PostHog. Starter is €49/mo (one project, 50 prompts, weekly cadence, five engines), with a 14-day trial. It also scores brand reputation across dimensions like authority and trustworthiness.
One honest limitation. Only the Starter price is publicly broken out, and the cadence is weekly at that tier. Attribution depth is session-level through the analytics stack. If leadership asks "how many dollars from AI?", you still need a downstream CRM revenue layer on top.
8. AirOps
Best for: content-heavy teams running an AEO content engine that measure through production velocity and conversion-lift case studies.
AirOps wraps visibility and conversion outcomes around content operations. Its public case studies report production and citation gains (Webflow at 5x content-refresh velocity, Chime moving from 24 to 68 priority questions) and conversion figures like Angi's "up to 79% better conversion rates on longtail pages." Those are the source's numbers, worth reading in context.
One honest limitation. AirOps's strongest evidence is case studies, not a transparent per-product attribution dashboard, and pricing is custom and not publicly listed. Treat it as a content engine with case-study proof rather than a like-for-like product comparison.
The revenue-attribution layer worth pairing in
Here is a truth most roundups skip: several of the best "attribution" answers are not AEO tools at all. They are B2B revenue attribution platforms that already sit in your stack, and they can treat AI search as one more attributable channel.
HockeyStack does multi-touch B2B revenue attribution with closed-loop CRM integration. Any AI engine that delivers a session becomes a tracked referrer inside its model. Dreamdata does full-funnel journey attribution weighted by pipeline stage (MQL to SQL to opportunity to closed-won), pulling from CRM, BigQuery, and Snowflake, from around $999/mo. Ruler Analytics brings first-touch, last-touch, and multi-touch attribution across CRM, GA4, and call tracking, a good shape for form-and-phone pipelines. Factors.ai tracks AI search as a digital channel next to paid and organic.
The catch is the same for all four: they are attribution, not attention. They can tell you AI search influenced a deal, but they will not find your AEO gaps or show per-prompt citations. So they belong in front of a visibility tracker, never instead of one. If you already pay for one of these, you are closer to real AI search attribution than you think. You mostly need to make sure AI engines are tagged as their own source, then let the model you already trust weight the touch.
A quick reminder on where the numbers live. An AEO attribution tool that only reads GA4 can under-count, because a chunk of AI-driven visits arrive without a clean referrer. Pairing a server-side detector with your CRM view is what gives GEO ROI measurement its credibility when a skeptical CFO starts asking questions.
A few honorable mentions
HubSpot AEO Grader is a free, one-time diagnostic that scores your brand across ChatGPT, Perplexity, and Gemini without an account. It is the right "see your baseline before you buy" step, not an ongoing attribution answer. Semrush AI Visibility is an add-on for existing Semrush subscribers, strongest on Google AI Overviews, with no standalone SKU publicly listed. Conductor adds an AEO layer for enterprises already living in its content-intelligence console, with pricing on request.
How to choose the right one for you
Feeling the urge to buy everything? Do not. Pick by the shape of your problem.
If your leadership question is "how many dollars did AI search bring us?" and you already run a CRM attribution product, layer HockeyStack, Dreamdata, Ruler, or Factors in front of a visibility tracker. If your primary need is server-side bot verification with SOC 2 and SSO from day one, Profound Enterprise is the honest better fit. If you are a retailer whose journeys are SKU-level and commerce-native, Goodie Pro or Enterprise will do more for you. If you are just starting and budget is tight, Otterly Lite or a free grader gets you a baseline this week.
And if your real bottleneck is not measurement but action, if you can already see the gaps and just cannot produce the content fast enough to close them, that is where DeepSmith earns the top slot. It is the one tool here that shows you the gap and produces the on-brand, publish-ready page that turns visibility into the sessions and leads your existing analytics can attribute.
You do not need a perfect stack. You need the next right step.
Start closing the loop this quarter
Take a breath. You are further along than the ROI question makes you feel. You already have visibility data. The move now is to connect it to outcomes and to act on the gaps, not just watch them.
If DeepSmith fits, start with the free trial and see real data and real drafts before you pay. There are no long-term contracts and no cancellation fees, so you can run one quarter of prompts and content, then let your GA4 and CRM show you what it moved. Give it one focused quarter. Momentum matters more than a perfect setup.
