Roundup · GEO Updated June 2026 · 11 min read · By Vincent Wesley Couey

Last reviewed: June 10, 2026 Next review due: September 2026 Snapshot data: June 7, 2026

Best GEO / AI-Visibility Tools 2026 (Graded on the CONSENSUS Protocol)

Q: What is the difference between Profound and Otterly?

Based on how the AI engines describe them in Lucreya's June 2026 study: Profound is positioned as the deeper, enterprise-grade AI-visibility platform, favored by ChatGPT and often Google AI Overviews for agency and enterprise queries. Otterly is positioned as the cost-accessible alternative for SMBs, frequently appearing as a recommended option in the same answer sets but rarely as the sole top pick. Profound starts at roughly $199 per month; Otterly starts at roughly $49 per month. The split in how engines recommend them mirrors a depth-versus-cost trade-off.

Q: Why do different AI engines recommend different GEO tools?

In Lucreya's June 2026 study, all three full-divergence queries (where every engine named a completely different top tool) fell in the GEO/AI-visibility category. The GEO tool market is young enough that no single vendor has established the kind of citation mass across third-party review pages, forum threads, and comparison roundups that drives cross-engine consensus. In mature categories like sales prospecting (Apollo.io won all three engines) or lead enrichment (Clay won all three), there is a dominant citation pattern. The GEO category has not settled, which is exactly why an original-data page ranking on this topic is differentiated: there is no dominant source yet.

Quick verdict

No consensus winner yet in GEO visibility. Here are the three positions worth knowing.

Profound

Best for agencies and enterprise teams that need depth, multi-engine tracking, and a reporting layer that passes to clients. ChatGPT's top pick on agency-framed queries.

from $199/mo

Otterly.AI

Best for SMBs and solo operators who want brand-mention monitoring across ChatGPT and Perplexity without a budget approval conversation.

from $49/mo

Semrush AI Visibility

Best for teams already on Semrush who want AI-visibility tracking added to an existing workflow. Perplexity's top pick on the broadest GEO category query.

from $139/mo add-on

Google AI Overview trigger rate

95% of queries

AI Overviews triggered on 19 of 20 GTM queries in our June 2026 study.

Top GEO tools by cross-engine presence

Otterly, Profound, Semrush AI Visibility, then Goodie AI by how often the engines named them.

Engines tracked and top cited sources

ChatGPT Perplexity Google AIO Reddit G2

Three answer engines plus the third-party domains they cite most.

Why grade GEO tools on the CONSENSUS Protocol instead of feature checklists?

Because a tool that claims to measure AI visibility should itself be visible to AI engines, and in the GEO category, the engines disagree sharply on which tool that is.

Most GEO tool roundups build a feature table: does it track ChatGPT, does it track Perplexity, does it have a dashboard, what does it cost. That is useful as a spec sheet. It tells you nothing about whether the tool has earned the authority it claims to help you build.

This roundup takes a different angle. It is part of the CONSENSUS Protocol method: we run fixed buying-intent prompts across three AI engines, record which tools each engine names, and report the Engine-Consensus flag from the Answer-Engine Consensus Index (AECI). A tool can claim all three engines recommend it. The flag tells you the truth, with a date on it.

The data we are working from: on June 7, 2026 we captured 60 AI answers across 20 GTM buying-intent queries submitted to ChatGPT, Perplexity, and Google AI Overviews. We also logged 162 Perplexity citations from those answers and classified them by source type. The GEO and AI-search-visibility queries in that set produced the only full-divergence readings in the entire dataset: on every GEO-category query, each engine named a different top tool. That is the central fact this roundup is built around, and it is the reason the category is still winnable.

The key data asset: Across 14 category and intent queries in our study, all three engines agreed on the top tool in only 5 (36 percent of queries). They agreed 2-of-3 on 6 queries (43 percent) and fully diverged on 3 (21 percent). Every full-divergence query was a GEO/AI-visibility query: "best GEO tool to track AI search visibility," "how to track brand mentions in ChatGPT," and "best AI search optimization platform 2026." In contrast, prospecting (Apollo.io), enrichment (Clay), and SEO content optimization (Surfer SEO) each achieved full three-engine consensus. Source: Lucreya original measurement, data.json crossEngineAnalysis + headlineFindings.crossEngineDivergence. Snapshot 2026-06-07.

The comparison table: GEO tools graded by Engine-Consensus flag

Every flag in this table is a dated, reproducible reading from our June 2026 study, not a vendor claim.

The table below shows each tool, the Engine-Consensus flag it earned on our GEO-category queries, which specific engines named it, and the query context. This is what the CONSENSUS Protocol's AECI produces: not a blended score, but a per-engine reading with a four-state flag.

Tool	ChatGPT	Perplexity	Google AIO	AECI Flag	Strongest query context	Price
Profound	Top pick (S2, S4, S5)	Top pick (S5 only); dissents on S2	Named (S2, S5)	2-of-3 dominant	"Best AI visibility tool for agencies" (S5)	from $199/mo
Otterly.AI	Named (S2, S4, S5)	Top pick (S4 split); named S5	Top pick (S5); named S2	2-of-3 recurring	"Best AI visibility tool for agencies" (S5) and "track brand mentions in ChatGPT" (S4)	from $49/mo
Semrush AI Visibility	Named (S2, S4)	Top pick (S2); named S4	Named (S4)	Single-engine top (Perplexity S2)	"Best GEO tool to track AI search visibility" (S2): Perplexity top pick	from $139/mo add-on
Goodie AI	Named (S7)	Not named on GEO queries	Top pick (S2); named S7	Single-engine top (AIO S2)	"Best GEO tool to track AI search visibility" (S2): Google AIO top pick only	Contact for pricing
ZipTie	Not named on GEO queries	Named (S2)	Not named on GEO queries	Single-engine (Perplexity S2)	"Best GEO tool to track AI search visibility" (S2): Perplexity list mention	Beta
Peec AI	Named (S2, S5)	Not named on GEO queries	Not named on GEO queries	Single-engine (ChatGPT)	Named alongside Profound by ChatGPT on agency visibility queries	from $49/mo
Rankscale	Named (S2, S5)	Not named on GEO queries	Not named on GEO queries	Single-engine (ChatGPT)	Named in ChatGPT's extended tool list on GEO visibility queries	from $79/mo
Scrunch AI	Named (S5)	Not named on GEO queries	Not named on GEO queries	Single-engine (ChatGPT)	Named in ChatGPT's extended list on "best AI visibility tool for agencies"	Contact

All flags are from Lucreya's original measurement, snapshot June 7, 2026. Flags are dated and volatile: AI answers shift; treat every flag as decaying and re-run the protocol to update. Source: data.json queries S2, S4, S5, S6, S7. License CC BY 4.0. Dataset DOI: 10.5281/zenodo.20632768 (Zenodo, CC BY 4.0).verified 2026-06-07

Q: Why are the flags so fragmented? Why does no tool win all three engines?

A: Because the GEO/visibility tool category is young. On mature categories in our dataset, one tool dominated: Apollo.io won all three engines for prospecting, Clay won all three for enrichment. Those categories have a dense citation trail across third-party review pages that agrees on the winner. The GEO tool category lacks that settled citation trail. Each engine draws from a different source set, and those sources do not yet converge on a single name. That is the opportunity for any tool that builds a real citation footprint across Reddit, roundup blogs, comparison aggregators, and forum threads.

No tool holds consensus yet, the category is still winnable, and a graded roundup using real cross-engine data is itself a demonstration of how to earn citations.On the GEO category

Is Profound the best GEO tool for agencies?

Profound is the closest thing to a cross-engine consensus pick on agency-framed GEO queries, but it does not hold that position on every query type, and Perplexity dissents on the broadest category query.

Profound from $199/mo 2-of-3 dominant

ChatGPT: top pick on S2 (best GEO tool to track AI search visibility), S4 (how to track brand mentions in ChatGPT), and S5 (best AI visibility tool for agencies). Perplexity: top pick on S5 (agency framing only), dissents on S2 toward Semrush AI Visibility Toolkit. Google AIO: named on S2 and S5, but tops Goodie AI on the broadest category query.

Profound is positioned as the enterprise and agency platform in this category. The engines describe it as the deeper tool when the query is framed around agency reporting, multi-client monitoring, or tracking visibility across several AI engines simultaneously. The head-to-head reading (query S6: Profound vs Otterly, per data.json) shows both engines framing it as Profound for depth and enterprise scale versus Otterly for cost and SMB appropriateness, consistent with how they appear across the category queries. On the broadest category query ("best GEO tool to track AI search visibility"), Profound is ChatGPT's top answer but not Perplexity's and not Google AIO's top pick. That three-way split is the core finding of our GEO-category data.

CONSENSUS verdict: The safest choice if your primary buyers use ChatGPT to research tools. A single-engine-dissent story on Perplexity, which is itself the AI engine your buyers may use to evaluate options. Worth cross-checking against the Profound vs Otterly head-to-head in your category before committing.

Does Otterly hold up as the SMB alternative?

Yes. Otterly is the most consistently recurring lower-cost option across GEO queries, with appearances on all three engines across different query types, though always alongside other tools rather than as the sole top pick.

Otterly.AI from $49/mo 2-of-3 recurring

ChatGPT: named on S2, S4, and S5. Perplexity: named as top pick alongside other tools on S4 (tracking brand mentions in ChatGPT) and S5 (agency visibility). Google AIO: top pick on S5 agency query; named on S2.

Otterly appears more broadly across engine and query combinations than any other single tool in this category, though it reaches the top position less cleanly than Profound does on agency-framed queries. The Profound vs Otterly head-to-head (S6, per data.json) shows the engines consistently framing the choice as depth versus cost: Profound for enterprise, Otterly for SMB. That framing is useful for buyers. Otterly's strongest position is on the "track brand mentions in ChatGPT" intent query (S4), where Perplexity names it alongside Semrush and Meltwater. For a team that wants monitoring without a $199 per month commitment, the $49 entry point is accessible without procurement review.

CONSENSUS verdict: Best-value entry point with the broadest multi-engine name recognition in this category. Best for teams that do not need agency-grade reporting or multi-client dashboards. The gap between Otterly and Profound is real; if you run more than five client accounts, the depth difference matters.

Is the Semrush AI Visibility Toolkit worth it if you already pay for Semrush?

For teams already on Semrush, yes. The toolkit is Perplexity's top pick on the broadest GEO category query, which is a meaningful signal because Perplexity's citations are the most directly auditable of the three engines.

Semrush AI Visibility Toolkit from $139/mo add-on Single-engine top (Perplexity)

ChatGPT: named on S2 and S4, not as the top pick. Perplexity: top pick on S2 (best GEO tool to track AI search visibility) alongside ZipTie. Google AIO: named on S4.

Semrush is a mature brand with a deep citation footprint across the same third-party review pages that AI engines pull from. In our source-type data, roughly 58 percent of Perplexity citations point to third-party review and listicle pages, and Semrush's general brand authority in the SEO category spills into the adjacent GEO category. Teams already paying for Semrush at $139 per month or above should evaluate the AI Visibility add-on against what Profound offers at net new cost: adding AI visibility to an existing Semrush subscription is a lower switching cost than a new vendor at $199 per month.

CONSENSUS verdict: Best for Semrush subscribers who want AI-visibility tracking without a new vendor relationship. A single-engine top-pick story (Perplexity on S2), not a cross-engine consensus story. Understand what data the add-on provides before assuming it matches Profound's tracking depth.

A tool that claims to measure AI visibility should itself be visible to AI engines, and in the GEO category, the engines disagree sharply on which tool that is.The core test

Why do these tools win citations, and what does that tell you about getting cited yourself?

The citation pattern behind AI answers in the GEO tool category mirrors what wins citations everywhere: structured, dated, schema-marked third-party comparison pages dominate, and original first-party measurement is nearly absent from the cited set.

We logged 162 Perplexity citations across our full study and classified them by source type. The breakdown: roughly 58 percent were third-party review or listicle pages, 20 percent were vendor first-party pages, 16 percent were forum and UGC sources (Reddit, YouTube, LinkedIn), and 6 percent were comparison aggregators like G2 and TrustRadiusverified 2026-06-07. Taken together, roughly 4 in 5 citations pointed away from the recommended vendor's own site. A brand that only optimizes its own pages is working the 20 percent of the citation surface that was already most likely to point to it.

We coded one cited page directly as a structural exemplar: a Zapier comparison article (zapier.com/blog/jasper-vs-copy-ai/). It carried Article and BreadcrumbList schema markup, a comparison table, current pricing data, a 2026 freshness date, and approximately 2,600 words. It is the archetype of what gets cited: structured, priced, schema-marked, recently dated, written by a third party. Original first-party measurement of the kind this roundup contains was nearly absent from the 162-citation set.

That gap is the opportunity. The Princeton GEO framework (Aggarwal et al., 2023) established in a controlled benchmark that adding statistics, quotations, and citations to a source can raise generative-engine visibility by up to roughly 40 percent on a single engine. This page applies that in the field: it holds original data, comparison schema, a dated table, and external citations. For the broader AI tools landscape, our colleagues at Nesyona's AI SEO tools index track the full stack that feeds these AI engine answers.

One more real-data signal worth noting: Reddit appeared in 15 of the 20 Perplexity answers (75 percent), making it the single most-cited domain in the study. Zapier appeared in 6 of 20 queries (30 percent) and YouTube in 5 (25 percent)verified 2026-06-07. Google AI Overviews triggered on 19 of 20 queries (95 percent), so the AI answer surface is almost always present when your buyers search. These are domain-presence figures, not individual-citation-count figures: Reddit was cited in 75 percent of answers, not in 75 percent of the 162 individual citations.

Q: Should we post GEO tool discussions on Reddit to get cited?

A: Reddit's 75 percent coverage across Perplexity answers reflects organic thread signals, not planted posts. Genuine participation in GEO-category threads where you can add real information is more likely to produce citation signals than promotional content. The forum/UGC category (Reddit plus YouTube plus LinkedIn) made up roughly 16 percent of the 162 Perplexity citations, not 75 percent. The high Reddit coverage figure is about how many answers pulled at least one Reddit link, which is a different metric from what fraction of total citations came from Reddit.

Which type of buyer is each GEO tool actually built for?

Profound

the depth play

EnterpriseAgenciesMulti-engine

Deeper monitoring from $199/mo

ChatGPT's top pickagency reportingmulti-client dashboards

Otterly.AI

the cost play

SMB

Accessible monitoring from $49/mo

solo operatorsnamed on all three enginesbrand-mention tracking

The category's real split is depth versus cost: agency-grade tracking you buy above the budget threshold, or accessible brand-mention monitoring you can expense without procurement.

The engines' own framing of these tools on use-case and agency queries is more useful than vendor positioning copy, because it reflects how buyers who used AI to research the category are being led to think about each tool.

Based on how the three engines frame each tool across the GEO queries in our study:

Profound is consistently framed as the enterprise and multi-client agency platform. ChatGPT describes it as the deeper, more comprehensive monitoring layer. The $199 per month entry places it above the team-budget threshold, consistent with the agency framing.
Otterly is consistently framed as the accessible alternative for solo operators and small teams who want brand-mention monitoring without an enterprise contract. The $49 per month entry is a meaningful differentiator in a category where most tools charge more.
Semrush AI Visibility is framed as the addition for teams already in the Semrush data stack. Its strength on Perplexity may reflect Semrush's existing brand authority in the SEO category spilling into the adjacent GEO category.
Goodie AI earns a top position on Google AI Overviews for the broadest category query but does not appear as prominently across the others. A single-engine story for teams whose buyers primarily use Google Search to research software.
ZipTie is in beta and appears only on Perplexity in the GEO category. Worth watching as the category settles, but not a production-ready choice for most teams at this snapshot date.

A note on the broader AI GTM tool landscape: the engines' consensus picks for adjacent GTM categories (Apollo.io for prospecting, Clay for enrichment, Surfer SEO for SEO content optimization, Jasper for copywriting, Opus Clip for video repurposing, 11x for AI SDR) are all S-tier in our companion 30-tool AI GTM Tools index. Seven of the eight tools named as top recommendations by two or more engines in the full dataset are S-tier in that indexverified 2026-06-07. The GEO visibility tools in this roundup are not yet in that S-tier consensus position, which is the category opportunity signal.

Run the CONSENSUS Protocol on your GEO tool or brand

The free AI Visibility Audit runs step one of the CONSENSUS Protocol on your brand or product: it returns your Engine-Consensus flag across ChatGPT, Perplexity, and Google AI Overviews for your category, with a snapshot date, in minutes. No blended black-box score. If you are a GEO tool vendor who wants to see where you sit in the same engine-divergence picture this roundup documents, this is the starting point. When you are ready to build the citation structure the measurement reveals, the GEO placement retainer runs the full protocol quarterly.

Run my free AI Visibility Audit ›

Who should NOT buy a dedicated GEO tracking tool right now?

Teams without a defined AI-search citation strategy, or whose buyers do not yet use AI engines to research purchases, will pay for monitoring before they have a meaningful signal to monitor or a lever to pull.

A GEO tracking tool measures something: how often AI engines name your brand in a category answer, which sources they cite, how that changes over time. That measurement is only actionable if you have a strategy to respond to it. If no one on your team is responsible for building third-party citation presence across review pages, forum threads, and comparison roundups, the dashboard will confirm you are absent and you will have no lever to pull.

The more honest version of "you need a GEO tool" is: you need a GEO strategy, and then a tool to measure it. If you want the strategy layer first, start with our guide on how to rank in AI answers and the definition-first primer at what is GEO. If you are ready to measure and want the strategy to run alongside it, the GEO retainer runs the CONSENSUS Protocol on your brand quarterly and builds the citation structure the measurement reveals you need.

Q: Does it matter that GEO tool vendors have not themselves achieved AI engine consensus on their own product?

A: It matters as a signal and does not matter as a disqualifier. As a signal: if a tool that promises to get your brand named by AI engines cannot get itself named consistently by AI engines, that gap is worth noting. As a disqualifier: the category is genuinely new and no tool has built the settled citation infrastructure that drives consensus. The GEO visibility queries produced the only full-divergence readings in our entire 14-query analysis. The honest read is that the category is unsettled, not that any particular tool is failing at GEO. The unsettled state is also the opportunity: the first tool to build genuine organic citation mass across the third-party review ecosystem will move from single-engine dissent to cross-engine consensus, and that is a durable competitive position in a category where the buying decision increasingly starts inside an AI answer.

Honesty floor for this roundup: Every flag in the comparison table traces to a logged row in data.json from our June 7, 2026 snapshot. We received no payment, free access, or sponsored placement from any tool in this roundup for inclusion or flag assignment. Prices listed are from public pricing pages at time of writing; verify before purchasing. The approximately 40 percent Princeton GEO visibility lift figure is from the Aggarwal et al. 2023 paper (external source, cited below). The roughly 11 percent cross-engine domain-overlap figure is external and is not our measurement; our equivalent is the 36 percent full three-engine agreement reading from our own 14-query analysis. Dataset DOI is pending Zenodo deposit; we will not cite a DOI until the deposit is live.

Frequently asked questions

Which GEO tool is best for tracking AI search visibility in 2026?

Based on Lucreya's June 2026 study of 60 AI answers across ChatGPT, Perplexity, and Google AI Overviews, no single GEO tool achieves consensus across all three engines. ChatGPT and Google AI Overviews most often name Profound as the top AI-visibility platform for agencies and enterprise buyers. Perplexity dissents, naming the Semrush AI Visibility Toolkit and ZipTie on the broadest category query. For small and mid-size teams, Otterly is the most frequently recommended lower-cost option, appearing on all three engines across different query types. The GEO/visibility category is the most contested in the dataset, which means the category is still winnable for any entrant building genuine cross-engine presence.

What is the difference between Profound and Otterly?

Based on how AI engines describe them in Lucreya's June 2026 study: Profound is the deeper, enterprise-grade AI-visibility platform, favored by ChatGPT and often Google AI Overviews for agency and enterprise queries, starting at roughly $199 per month. Otterly is the cost-accessible alternative for SMBs, frequently recommended in the same answer sets but rarely as the sole top pick, starting at roughly $49 per month. The split mirrors a depth-versus-cost trade-off, and the engines apply it consistently across head-to-head and category queries.

Does Semrush have a GEO or AI-visibility tool?

Yes. Semrush offers an AI Visibility Toolkit as an add-on to its standard subscription. In Lucreya's June 2026 study, Perplexity named the Semrush AI Visibility Toolkit as the top tool for tracking AI search visibility on the broadest category query, while ChatGPT and Google AI Overviews named other tools. This engine-specific endorsement matters for teams whose buyers use Perplexity to research software purchases.

How do you know if a GEO tool is actually recommended by AI engines?

You run the CONSENSUS Protocol: submit a fixed set of buying-intent prompts to ChatGPT, Perplexity, and Google AI Overviews, record which tools each engine names, and apply the four-state Engine-Consensus flag. A tool that claims all three engines recommend it should be able to show a dated run with the flag reading Consensus. Lucreya's free AI Visibility Audit runs step one of this protocol for any brand in minutes and returns the Engine-Consensus flag with a snapshot date.

Why do different AI engines recommend different GEO tools?

All three full-divergence queries in Lucreya's June 2026 study fell in the GEO/AI-search-visibility category. The GEO tool market is young enough that no single vendor has established the cross-engine citation mass that drives consensus. In mature categories like prospecting (Apollo.io) and enrichment (Clay), there is a settled citation pattern across third-party review pages that agrees on the winner. The GEO category has not settled, which is why the first tool to build genuine citation coverage across review pages, forum threads, and comparison roundups will move from single-engine dissent to cross-engine consensus and hold a durable position.

Bottom line

The GEO / AI-visibility tool category is the most contested in our June 2026 data: every one of the three GEO-category queries produced full engine divergence, meaning each AI engine named a completely different top tool. That single fact is more useful than any feature checklist. It means the category has not settled, every player in it is a single-engine dissent rather than a consensus winner, and the first tool to build genuine third-party citation mass across the review and forum ecosystem will take a durable position. Profound is the closest to a cross-engine pick on agency-framed queries (ChatGPT dominant, most AIO scenarios). Otterly is the most broadly recurring lower-cost option across engine and query types. Semrush AI Visibility is the right call if you are already on Semrush and Perplexity is part of your buyer's research journey. Before committing to any tool, run the free AI Visibility Audit on your own brand: get the Engine-Consensus flag for your category, see where you actually stand, and decide what to measure before you pay for a dashboard. This roundup is part of the CONSENSUS Protocol method: every stat traces to a logged data row, and the page itself is built to demonstrate what a citation-optimized GEO roundup looks like in practice.

Lucreya original measurement. Who AI Recommends: GTM Tool and Source Citations Across ChatGPT, Perplexity, and Google AI Overviews (2026). 20 queries, 3 engines, 60 answers, 162 Perplexity citations. Snapshot 2026-06-07. lucreya.com/research/who-ai-recommends-gtm-2026/. CC BY 4.0. Dataset DOI: 10.5281/zenodo.20632768 (Zenodo, CC BY 4.0).verified 2026-06-07
Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., Deshpande, A. GEO: Generative Engine Optimization. 2023. arxiv.org/abs/2311.09735. Princeton GEO framework: controlled benchmark showing on-page tactics (statistics, quotations, citations) can raise generative-engine visibility by up to approximately 40 percent on a single engine.
Zapier. Jasper AI vs Copy.ai: Which AI writing tool is better? zapier.com/blog/jasper-vs-copy-ai/. Coded directly as the structural exemplar of a cited GTM page: Article and BreadcrumbList schema, comparison table, pricing data, 2026 freshness date, approximately 2,600 words.verified 2026-06-07
Lucreya. The CONSENSUS Protocol: How to Measure AI Visibility Honestly (AECI Method, 2026). lucreya.com/articles/the-consensus-protocol. Hub article defining the AECI, Engine-Consensus flag, and 8-step measurement standard this roundup is part of.
Perplexity AI. perplexity.ai. Primary measurement engine for citation autopsy; exposes native numbered source list used for the 162-citation analysis.
Google. Generative AI in Search: Let Google do the searching for you. blog.google/products/search/generative-ai-search/. Reference for Google AI Overviews behavior; triggered on 19 of 20 GTM queries (95 percent) in our June 2026 study.
Creative Commons. CC BY 4.0 License. creativecommons.org/licenses/by/4.0/. License for the Lucreya measurement dataset.

Get the CONSENSUS Protocol prompt template The 10-prompt-per-category worksheet plus the Engine-Consensus flag scoring rubric, ready to run on any GEO tool or brand. We will send it.