Best generative engine optimization (GEO) tools compared for SEO teams

GEO tools for B2B

For B2B teams, the 2026 shortlist has 5 GEO tools. Snoika and Profound cover different production and tracking needs. Peec AI and Otterly.AI offer measurement, while the Semrush AI Visibility Toolkit fits an existing Semrush stack. We ranked them by how much of the work each one covers. B2B buyers now build their vendor lists inside chatbots. In G2's March 2026 survey, 51% of B2B software buyers said they start software research with an AI chatbot more often than with Google, up from 29% in April 2025. If the answer doesn't name you, you aren't on the list.

Prices below come from published pricing in 2026. Check them again before you buy, because these vendors change plans.

1. Snoika

Snoika is the only tracker on this list that also writes and publishes content. It audits websites and tracks brand visibility in Google and AI assistants. It also builds researched content maps and AI-ready websites. Its content creation and publishing cover 135+ languages. The same team runs the platform and the services, and people review the output of the automated workflows. That matters if your bottleneck is turning visibility gaps into pages, because nobody has to hand findings to a separate agency. Tracking covers only ChatGPT and Google AI Overviews, so a team whose buyers use Perplexity or Copilot will need a second tracker.

2. Profound

Profound is the enterprise-grade tracker, and its pricing grows with your program. The brand plans start at Starter for $99 a month, but that tier tracks ChatGPT only, with 1 region and 1 seat. At $399 a month, Growth adds more engines and includes 6 optimization articles. Enterprise is priced by quote. Agencies pay $399 a month for each full client workspace, according to Slate's 2026 breakdown. It's best for large brands that need several markets and can fund a quote-based contract.

3. Peec AI

Peec AI is a clean analytics tool that charges by prompt volume and puts no limit on seats. The Starter plan at €89 tracks 25 prompts, and Pro costs €199 for 100 prompts. Engines beyond the core three cost €20 to €30 a month each. CrawlRaven's 2026 review names "no actionable recommendations" as a weakness, though Peec's own comparison page says its Starter plan includes optimization recommendations. It suits agencies and in-house teams that report across countries and need everyone in the dashboard.

4. Otterly.AI

Otterly.AI has the lowest entry price here, and the prompt cap is the catch. Lite at $29 a month covers 15 prompts across 4 engines. Standard is $189 for 100 prompts, and Premium is $489 for 400. Gemini and Claude cost extra on every plan. Google AI Mode also carries an extra charge on every plan. Ryan Doser, who reviewed the tool, puts the real Lite price at $76 once you add all 7 engines. It's a good first tool for a small team that wants to see where it stands before it commits budget.

5. Semrush AI Visibility Toolkit

The Semrush toolkit adds a prompt-level visibility score to a stack that many SEO teams already use. It costs $99 a month per domain for 25 daily prompts across 4 engines. Extra domains cost $99 each, and extra 50-prompt packs cost $60. Each added user needs a $99 license. The per-domain pricing gets expensive fast for agencies. For a team with one or two flagship domains that already lives in Semrush, it's the easiest tool to add.

How generative engines pick sources

Generative engines run one or more web searches behind the prompt to retrieve the pages their crawlers can reach. They cite the passages that answer each part of the question most directly. Ranking well still helps, but it guarantees less than it used to. Ahrefs analyzed 863,000 keyword results and found that only 38% of AI Overview citations came from pages in the top 10 for the same query. Its July 2025 study had put that share at 76%. Ahrefs suggests that "fan-out" queries, the extra related searches the engine runs, now play a larger part in which sources get picked.

Researchers from Princeton and Georgia Tech tested rewrites across 10,000 queries in their GEO paper and found visibility gains from citations and quotations from relevant sources. Statistics also boosted source visibility in the study, which reported gains of up to 40% visibility. The same paper says the effect varies by domain. A rewrite that lifts a finance page may do little for a software comparison.

A tool should show you the cited URL and the passage. It should also report whether your brand was mentioned. Without the URL you can't tell which page earned the citation or which competitor page took it.

AI citation tracking features

All 5 tools here track citations in ChatGPT, but they differ in what they record and how often they run. Their prompt sources also differ. A mention means the answer names your brand. A citation means it links to your page as a source. A good AI visibility tracker separates the two and stores the cited page, because a brand can be mentioned while a review site gets the link.

Snoika tracks ChatGPT and Google AI Overviews. It records mentions and citations with their cited pages. It also reports share of voice and sentiment against competitor positions, week by week. Its prompts come from the content map, or you add custom ones. Because each tracked prompt ties back to a page you've published or planned, a lost citation points to a specific page you can fix. Peec AI and Otterly.AI run prompts daily, and both cover more engines than Snoika does.

AI answers vary from one run to the next, so one day's result is a sample. Read trends over weeks. Ask any vendor how many times it runs each prompt, and in which country and language.

Content optimisation capabilities

Otterly.AI and Peec AI give content optimization recommendations, as does Profound. Snoika is the one tool here that writes the content itself. Otterly's Lite plan includes three optimization recommendations a week, and Peec lists recommendations on Starter. Profound's Growth plan bundles 6 articles. A recommendation still needs a writer and an editor before it can take a publishing slot. For SEO teams that queue is where the work stalls.

Snoika generates pages straight from the content map. The researched outline and target prompts come already set. Internal links are also in place, along with the schema and CTA. It covers 120+ page types in 135+ languages, written in the brand's voice. Snoika's linguists wrote the rules its writing follows. Each draft is scored on 20 linguistic measures and checked for 16 AI writing patterns, such as hedging and salesy language. Flagged sentences are rewritten before a person reviews the draft. For you, that means drafts reach review closer to publishable, and the extra prompts you track turn into pages instead of a backlog.

Ask any vendor for a sample draft on one of your own topics before you sign. A recommendation is only as good as the page that comes out of it.

Technical checks that matter

The checks that matter most are whether AI crawlers can reach your pages and whether Google can index them. Google's documentation says a page must be indexed and eligible for a snippet to appear in AI Overviews, and that there are no additional technical requirements beyond that. ChatGPT works differently. OpenAI's crawler documentation states: "Sites that are opted out of OAI-SearchBot will not be shown in ChatGPT search answers, though can still appear as navigational links."

That makes robots.txt the first place a GEO problem hides. Run these checks before you blame your content:

• OAI-SearchBot is allowed in robots.txt. GPTBot, the training crawler, has its own separate rule.
• Your CDN or firewall doesn't block AI crawler IP ranges that robots.txt allows.
• Key content renders in the HTML without JavaScript.
• Pages you want cited are indexed and not set to nosnippet.
• Schema matches what the page shows.

The Semrush toolkit includes an AI-readiness site audit, and Otterly bundles GEO audits. Either will catch the first two issues. Your developer will still need to confirm rendering.

Pricing models decoded

GEO tools charge by prompt volume and engine count, with domains also part of the pricing. Snoika charges a weekly fee per strategy slot that also covers content production. The unit that drives the bill is the number of answers analyzed, which is prompts multiplied by engines and runs. Peec's €89 Starter, for example, covers 2,250 AI answers a month from 25 prompts. Add an engine or a domain and the cost climbs. Semrush charges per domain, and Profound charges per client workspace.

Snoika's plans start at €124 per week for AI + SEO Starter with 1 strategy slot. Standard is €248 and Pro is €495 per week. On a monthly basis, Starter is about €537. Standard is about €1,075 and Pro about €2,145. Next to a $29 tracker those numbers look high, but the comparison is uneven. The fair match is a tracker plus the writers and editors who would produce the pages, since Snoika's fee includes that work.

Before you buy, count the prompts you need across the engines and markets you care about, then price each tool at that volume. Entry tiers rarely survive the first month of real use.

GEO tools vs SEO tools

SEO tools measure where your pages rank and how many clicks they earn. GEO and AEO tools measure whether an AI answer names or cites you for a given prompt. The unit changes from keyword to prompt and from position to presence. A ranking is the same for everyone in a market at a given moment, while an AI answer varies with each run, so GEO tools sample.

The two still overlap. Google advises that "all existing SEO fundamentals continue to be worthwhile" for AI features, and Ahrefs' data shows that more than a third of AI Overview citations still come from top-10 pages. Keep your SEO suite. An LLM SEO tool adds a view of what the answer says about you and which competitor it recommends instead.

Choosing a GEO platform

A GEO platform should track the engines your buyers use and store which page was cited. It should also help you act on the gaps it finds. Use these features as your filter:

• Coverage of the AI engines your buyers use, in their countries and languages
• Citation data with the cited URL, kept separate from brand mentions
• Share of voice and sentiment against named competitors
• A prompt set tied to your content plan rather than a generic list
• A path from a gap to a published page, built in or through your own team
• Exports or an API so the data reaches your reporting

I'd weigh the last two most heavily, because they decide whether the data changes anything. Before you pay, load 20 to 30 of the prompts your buyers ask into a trial and run it for 2 weeks. Compare the cited URLs with what you see when you ask the engines yourself. If a tool can't show you why a competitor won a citation, it won't help you take it back.

Measuring GEO ROI

You measure GEO return on investment (ROI) by tying citation share to referral visits and then to pipeline, while accepting that much of the influence happens before a click. Start with share of voice on your tracked prompts, measured monthly against named competitors. Next, segment AI referral traffic in your analytics. ChatGPT visits arrive with a chatgpt.com referrer.

Google makes the second step harder. Its documentation says traffic from AI Overviews and AI Mode is counted inside the regular "Web" search type in Search Console, so use organic trends on cited pages as your proxy.

The buying decision happens without a visit at all. G2's survey found that 69% of buyers chose a different vendor than they first planned because of AI chatbot guidance. Add "AI assistant" as an option to your "how did you hear about us" field. That self-reported line will catch revenue your analytics misses.

How to pick from this list

Decide this week whether your bottleneck is measurement or production, because that choice settles most of this list. If you don't yet know where you stand in AI answers, start with Otterly.AI or Peec AI and run your own buyer prompts for a month. If you already know the gaps and need content faster than your writers can produce it, Snoika is the only option here that turns the content map into published pages. The generative engine optimization tools you trial should see the same robots.txt your buyers' assistants see. So fix crawler access before day one, or the trial will measure your blocks instead of your content.