You rank on page one of Google, and yet when a buyer asks Gemini the same question, your brand is nowhere in the answer. If that stings, take a breath. It is not a failure of your SEO, just a different game you can start winning this week.
Here is what changed. On January 27, 2026, Google made Gemini 3 the default model for AI Overviews. About 42 percent of previously cited domains got replaced overnight, and the link between a top-ten ranking and an AI Overview citation collapsed from 76 percent to somewhere between 17 and 38 percent. So if you want to optimize for Gemini, a good ranking is now the floor, not the ceiling.
That reset is scary if you were coasting on rankings. It is a gift if you were not. Brands that never earned a Gemini citation can win one now, with the right structure and entity standing. You just need a tool that helps you do the work, not one that only shows the scoreboard.
This roundup covers the tools that actually help you rank in Google Gemini answers and get recommended by Gemini, not the ones that only measure where you stand. Whether you want full gemini seo tools or a lean tracker, let's find the one that fits you.
How we picked these tools
A tool earns a spot here only if it does more than report a number. Tracking tells you what is happening. Optimization is the work that moves the needle. Every tool below helps with at least one half of that loop, and the ones we rank highest help with both. We judged each on three questions:
- How deeply does it cover the Gemini family of surfaces, from the Gemini app to AI Overviews to AI Mode?
- How much of the optimization loop does it close? Diagnose, recommend, produce, publish, measure. The more stages a tool owns, the less handoff work lands on you.
- What does it really cost to run for a year? We use published floors and flag every tool that hides its pricing.
Pure dashboards with no path to act did not make the cut. Neither did general SEO suites with no Gemini-specific capability. These are gemini seo tools in the real sense: they help you get named and cited, not just monitored.
What "optimizing for Gemini" actually means
Quick clarity before the list, because this trips up a lot of teams. "Gemini" covers three surfaces. The Gemini app is the consumer chat product at gemini.google.com. Google AI Overviews is the summary box at the top of a normal search page. Google AI Mode is the chat-style interface inside Search that breaks your prompt into sub-queries. They share a model family and Google's index, but they weight recency, personalization, and source count differently.
This is also why optimizing for Gemini is not the same as optimizing for Google Search. The foundations overlap: the same index, E-E-A-T signals, and structured data. The selection layer is where they split. Gemini narrows roughly 200 to 500 candidate documents down to five to fifteen cited sources through retrieval, semantic ranking, an authority gate, model re-ranking, and data fusion. Ranking gets you into the candidate pool. It does not get you cited.
So what moves selection? The reverse-engineering on this pipeline is consistent. Pages with 15 or more named entities per 1,000 words are far more likely to be pulled as a source. Self-contained answer units of roughly 134 to 167 words extract cleanly. FAQ, HowTo, Article, and Product schema lift selection rates. And pages that go stale lose share within weeks under Gemini 3.
You do not need to memorize those numbers. You need a tool that builds them into your content and tells you which Gemini prompts you win and lose. That is the whole job of a tool built to rank in Google Gemini.
The tools at a glance
| Tool | Best for | Gemini coverage | Optimization capability | Starting price |
|---|---|---|---|---|
| DeepSmith | Gemini-aware analytics plus publish-ready content in one platform | ChatGPT, Gemini, Perplexity, Claude, AI Mode (Scale and up) | Full loop: track, recommend, produce, publish, distribute | $99/mo; Gemini at Scale ($399/mo, $299 annual) |
| Profound | Deep citation diagnostics across many engines | Enterprise tier (Gemini, AI Mode, AI Overviews) | Diagnostics plus an Agents builder; no finished articles | $99/mo Starter; $399/mo Growth |
| Adobe LLM Optimizer | Adobe Experience Cloud enterprises | Gemini, AI Overviews, AI Mode, ChatGPT, Copilot, Perplexity | Prescriptive fixes, one-click implementation, Adobe Analytics tie-in | Quote-based |
| AthenaHQ | SMBs wanting a free start plus on-page actions | ChatGPT, Perplexity, AI Overviews, Gemini, Claude | Content recs, robots.txt and llms.txt management | Free; $295/mo Starter |
| Peec AI | Small teams wanting simple tracking | ChatGPT, Perplexity, Gemini, AI Mode | Source identification and strategy recs; tracking-first | Quote-based |
| Writesonic GEO | Teams already on Writesonic | Gemini included | Content production plus GEO checks | Tiered |
| Scrunch | Growth teams wanting experiments plus consulting | Gemini included | Tracking plus experimentation | $250/mo |
Treat those prices as the floor. Several drop with annual billing, and a few vendors publish no pricing at all.
1. DeepSmith
Best for: content and marketing teams that want Gemini-aware analytics, brand-grounded content production, and distribution in one workflow. It is an especially strong fit if you need to scale output 2 to 3x without adding headcount, or if you run multiple brands as an agency.
DeepSmith earns the top slot for one reason. It is the only tool here that closes the entire Gemini optimization loop on a single platform. Tracking, diagnostics, content recommendations, article production, internal linking, schema, publishing, and distribution all live in one place. The other tools do one or two stages well, then hand the rest back to you. That handoff is where most teams stall.
Let's talk pricing, because it is transparent, rare in this category.
| Plan | Monthly | Annual (effective) | Articles/mo | Tracked prompts | Seats | Engines tracked |
|---|---|---|---|---|---|---|
| Pro | $99/mo | $80/mo | 20 | 50 | 5 | ChatGPT |
| Grow | $199/mo | $160/mo | 40 | 100 | 7 | ChatGPT, Perplexity |
| Scale | $399/mo | $299/mo | 90 | 200 | 10 | ChatGPT, Perplexity, Gemini |
| Enterprise | Custom | Custom | Custom | Custom | Custom | All five engines |
One honest note: Gemini is not on the Pro plan, which tracks ChatGPT only. Gemini enters at the Scale tier, which adds it to ChatGPT and Perplexity, and Enterprise covers all five engines. Every plan includes a 7-day free trial, with real data and real drafts before you pay, no long-term contracts, and no cancellation fees.
Now the part that matters for Gemini. Its AI Search Visibility module reports mention rate, citation rate, and share of voice, with per-prompt history so you see which Gemini prompts name you, which miss you, and which competitor page is winning each one. Discover Prompts generates a starter set of buyer questions from your product and persona context, so you are not guessing which prompts to track. Teams that track the wrong prompts just stare at a flat dashboard.
The Writer is where diagnosis turns into action. It produces a finished, brand-grounded article with the factors that move Gemini selection already built in: FAQPage schema, Article schema, entity-dense prose, and clean answer units near the top of each section. The pipeline scans your sitemap and inserts internal links during generation, so you are not spending an hour cross-referencing your own site. Autowrite can schedule an article to write itself on a set date, which keeps the pipeline moving during busy weeks. That matters, because Gemini 3 reshuffles citation share fast and gaps compound.
Distribution comes in the same workflow. Every finished article arrives with social posts ready to copy, and the Apps Library turns one piece into channel-native versions for LinkedIn, X, newsletters, Reddit, and more. Those secondary mentions feed the third-party signals Gemini weighs. Under the hood, Deep IQ stores your product facts, brand voice, and the claims you will and will not make, so the Writer sounds like you and never invents a feature you lack.
A few of DeepSmith's customers put it plainly. Aparna K, GTM Lead at Skooc, said her team "went from four articles a month to fifteen with the same two people." Pallav A., an SEO Specialist at Tahshop AI, said "drafts come out close to final because the system has context it needs." Aditya G, Marketing Director at Bindbee, said they "are able to track prompts for which we rank in AI answers, generating meetings."
Honest limitation: DeepSmith does not run an agentic browser that edits live third-party pages for you. It produces the content and your team publishes it. If you need a platform that pushes changes to Wikipedia or external listings directly, that is a gap. And like every tool here, it tracks mention and citation rates but does not guarantee rankings or traffic. The engine decides.
2. Profound
Best for: enterprise teams that need deep citation diagnostics across a wide set of AI engines and have the in-house capacity to turn those diagnostics into content on their own.
Profound is a measurement-first platform, and a strong one. Its Answer Engine Insights module reports mention rate, citation rate, and share of voice by prompt and topic. It adds Prompt Volumes for search demand, ChatGPT Shopping visibility, Agent Analytics for AI crawler traffic, and an Agents feature: a drag-and-drop workflow builder with templates for AEO research and drafting. It integrates from Cloudflare to WordPress and exports CSV and JSON on higher tiers.
Pricing is public. Starter runs $99/mo on annual billing for 50 prompts and ChatGPT only. Growth is $399/mo for 100 prompts across ChatGPT, Perplexity, and Google AI Overviews. Enterprise is custom and covers up to ten engines. One caveat: some older third-party listings show lower promotional numbers, so trust the live pricing page.
Gemini coverage is the catch. Gemini and AI Mode only appear on the Enterprise tier. Starter and Growth do not track the Gemini app at all.
Honest limitation: reviewers consistently describe Profound as diagnostic. It finds citation gaps at the prompt level, but it does not handle content strategy, on-page fixes, or schema, and the Agents feature supports drafting rather than finished, brand-grounded articles. If you need the content produced for you, it is the start of a stack, not the whole stack. That is also where it wins over DeepSmith: very large teams that run their own production and want prompt-level diagnostics across a wide model roster will like the depth.
3. Adobe LLM Optimizer
Best for: enterprises already running Adobe Experience Cloud, especially Adobe Commerce and Adobe Analytics customers, who want an AI search layer inside the stack they already own.
This one is genuinely prescriptive, not just observational. Its Brand Presence Dashboard tracks mentions, citations, and sentiment, and the URL Inspector gives a per-page view with specific technical recommendations. Its optimization actions let you implement fixes with one click: cleaning up content that AI agents cannot read, adding schema for LLM-friendly summaries and FAQs, and flagging Wikipedia enhancements. The data backbone is a Semrush-scale prompt database, and it supports Agent2Agent and Model Context Protocol.
On Gemini, Adobe is thorough. It explicitly covers the Gemini app, Google AI Overviews, and Google AI Mode, alongside ChatGPT, Copilot, and Perplexity. That is the widest Google-surface coverage in this list.
Honest limitation: pricing is the wall. Adobe does not publish it, positioning the product as quote-based enterprise software with no public self-serve tier outside an Experience Manager Cloud trial, so a smaller team cannot really evaluate it without a sales motion. For an Adobe-stack enterprise, folding AI search into your existing customer journey data is the whole appeal, and that is where it wins over DeepSmith: if your business already lives inside Adobe, the analytics path into revenue is hard to beat. For everyone else, the value of the integration stays hypothetical.
4. AthenaHQ
Best for: SMBs that want a free way to start plus real on-page optimization actions, with broad model coverage out of the box.
AthenaHQ is a nice middle ground between measurement and action. On the monitoring side, it does prompt and response analysis, competitor benchmarking, and real-time sentiment. On the action side, it offers content recommendations, an Athena AI agent, on-page and off-page GEO and SEO actions, brand voice enforcement, and smart robots.txt and llms.txt management, which few tools treat as a first-class feature. It integrates with Shopify, Webflow, GA4, and Search Console.
Pricing is refreshingly low-friction. The Essential plan is free and already includes Gemini, alongside ChatGPT, Perplexity, AI Overviews, and Claude. Starter is $295/mo, and Enterprise adds AI Mode, Copilot, and Grok. That free tier is the lowest-cost way into Gemini tracking here.
Honest limitation: content production is not its strength. The action layer concentrates on on-page and off-page signals, robots.txt, llms.txt, schema, and claim management, rather than full article production. If you need the platform to write and ship the articles that close your gaps, you will pair it with a writing tool. Its edge over DeepSmith is that free front door: if you want to get recommended by Gemini and are not ready to commit budget, Athena lets you start today at zero cost.
5. Peec AI
Best for: small marketing teams that want simple AI visibility tracking across the major models, with source identification and strategy recommendations attached.
Peec AI keeps it lean. You set up prompts, get AI-suggested prompts and search volumes, benchmark against competitors, and track brand mentions, sentiment, and position across ChatGPT, Perplexity, Gemini, and AI Mode. Its key-source identification is the standout: it surfaces which platforms, whether review sites, Reddit, or editorial domains, the models cite most in your category, so you know where to place your brand. A Looker Studio connector and CSV export round it out.
Honest limitation: Peec AI does not publish pricing, so plan on a sales conversation. And it is a tracking-and-recommendations tool: it does not produce articles, manage publishing, or handle schema. For a team that needs the loop closed, it is the start of a stack. Where it beats DeepSmith: if you just want simple AI visibility tracking and you already use Google's BI tooling, that Looker Studio connector is a genuine convenience.
6. Writesonic GEO
Best for: teams already using Writesonic for content production who want a GEO layer added to what they have.
Writesonic pairs content production with AI visibility checks, and its GEO module covers Gemini alongside other major engines. If your writing already lives here, layering GEO on is a low-lift way to start thinking about Gemini citations.
Honest limitation: Writesonic's core strength is production, not deep AEO diagnostics, and the GEO layer is newer than its SEO offering. If you want measurement depth on par with Profound or DeepSmith, you will likely run a dedicated AEO tool alongside it. Pricing is tiered, so check the live page.
7. Scrunch
Best for: growth teams that want AEO experimentation plus access to consulting.
Scrunch is best understood as an AEO experimentation platform with a consulting layer attached. It tracks Gemini among its covered engines and leans into structured testing on what earns citations. Its AEO plan starts at $250/mo, with enterprise tiers running higher.
Honest limitation: because it blends software with services, a team that wants a fully integrated production workflow will still use Scrunch alongside a content tool. It fits when you value hands-on guidance more than an end-to-end pipeline.
A few more worth knowing
A few options beyond the seven above are worth naming so you can rule them in fast. HubSpot AEO and Semrush AI Visibility Toolkit embed tracking inside platforms you may already use. Ahrefs Brand Radar layers AI mention tracking onto Ahrefs data, free or $199/mo. Botify serves technical-SEO-led enterprises, and AEO Collective is a done-for-you service, not a tool. None is wrong; they are just situational.
How to choose
Take a breath. You do not need the tool with the most features, just the one that fits your situation.
Pick DeepSmith if your team is publishing less than your strategy demands and you need to scale 2 to 3x without adding headcount. Pick it if you want Gemini coverage without buying a measurement tool and a writing tool separately, if your drafts always need SEO and internal-linking rework before they ship, if you want to track Gemini prompts at the page level and close the gap on one platform, or if you run multiple client brands and need isolated workspaces.
Pick Profound if you are an enterprise with a content operation already humming and you just need a deep diagnostic layer across many models.
Pick Adobe LLM Optimizer if you already run Adobe Experience Cloud, want AI search folded into that data, and can navigate enterprise procurement.
Pick AthenaHQ if you want to start tracking Gemini for free today and grow into action features, or if robots.txt and llms.txt management is a priority.
Pick Peec AI if you are a small team that wants simple Gemini tracking with source identification and a Looker Studio connector.
Pick Scrunch if you want experimentation plus consulting, or HubSpot AEO, Semrush, Ahrefs Brand Radar, or Botify if you already live inside one of those platforms.
The honest call: a team that needs measurement only, has its own content engine, and is happy to turn recommendations into articles by hand will do fine with Profound, AthenaHQ, or Peec AI. A team that needs the loop closed, from diagnosis to a published article on one platform, is squarely in DeepSmith's wheelhouse.
Start with one prompt this week
If all of this feels like a lot, here is your smaller first step. Pick one buyer question you care about and ask it in Gemini. See whether your brand shows up, and which page, if any, gets the citation. That single check tells you more than a month of theory.
Then close the gap. The fastest way to optimize for Gemini is to pair that tracking with content production in one place. You can see real Gemini data and real drafts on a 7-day free trial before you pay. Start your DeepSmith free trial and run that first prompt today. You are closer than you think.
