AI search is no longer a side experiment. ChatGPT, Perplexity, Google AI Overviews, and Gemini are actively answering buyer questions in your category right now, citing sources and recommending brands. If yours isn’t showing up, you’re invisible to a growing segment of your audience.

ZeroRank is an AI search visibility platform that tracks where your brand gets cited across the major AI engines, benchmarks you against competitors, and delivers prioritized recommendations to close the gap. I picked it up on AppSumo and ran it against MarketingWithDave.com.

Trying to decide between ZeroRank and SnowSEO?

I’ve also compared these two AI visibility platforms side by side, including where each one shines, the differences in workflow, and which type of marketer each is best suited for.

→ Read my ZeroRank vs SnowSEO comparison

Here’s what I found.

See the current AppSumo deal for ZeroRank

Affiliate disclosure: If you purchase through my link, I may earn a small commission at no additional cost to you. I only share tools I have used myself.

See how I rate software tools

The 30-Second Decision

ZeroRank is worth serious consideration if you’re an SEO, content marketer, or agency that needs visibility into how AI engines are covering your brand or your clients’ brands. The topics and prompts system gives you precise control over what queries you’re tracking, and the recommendations are genuinely actionable. But go in with clear eyes: content generation credits are not included at Tier 1 or Tier 2, Workflows are an enterprise-only feature not covered by the AppSumo deal, and the onboarding has a few rough edges ZeroRank is actively working to fix.

Is ZeroRank Right for You?

Why I Bought ZeroRank

I’ve been producing practitioner-grade content at MarketingWithDave.com for years, and the question of AI visibility has become impossible to ignore. Traditional SEO rankings tell me where I land in Google’s blue links. They say nothing about whether ChatGPT recommends me when someone asks “who personally tests AppSumo products?” or “where can I find honest software reviews before buying?”

I wanted a tool that would give me an honest picture of where I stood in AI search, not just a general SEO score with an AI tab bolted on. ZeroRank’s AppSumo listing positioned it as exactly that, so I bought Tier 1 to test it.

What ZeroRank Actually Does

ZeroRank is built around four core functions:

Topics and prompt tracking. You define topics and the specific prompts you want tracked across AI engines. This is the feature I got the most out of: rather than letting a tool decide what questions matter, you control exactly what you want to be found for and watch your visibility, sentiment, and rank move over time as you make changes. It’s a focused, intentional approach to GEO/AEO that generic rank trackers can’t replicate.

Brand monitoring across AI platforms. ZeroRank tracks citations, mentions, sentiment, and position across ChatGPT, Perplexity, Google AI Overviews, Gemini, Grok, and Bing Copilot. Results update daily and are organized by prompt, so you can see exactly which questions you’re appearing in and which ones competitors are winning instead.

Competitive benchmarking. ZeroRank automatically identified and began tracking over 100 competitor brands against MarketingWithDave.com with no manual setup required. The coverage was accurate, it flags potential duplicate brand entries so you can merge them, and you can add additional competitors manually with no cap on how many you track.

Actionable recommendations. The recommendations dashboard breaks down opportunities into three categories: on-page (article formats, content types, and structures that AI engines cite), off-page (Reddit threads, roundups, and editorial placements ranked by impact), and technical (schema markup, page speed, essential files like llms.txt and sitemap.xml). Each card includes Done/Decline/Todo controls so you can manage your queue.

Source intelligence. The Sources view shows which domains AI engines are pulling citations from in your category, how frequently they’re used, and how your domain compares. This gap analysis feeds directly into outreach and content strategy decisions.

ZeroRank In One Sentence

ZeroRank tracks the AI prompts that matter to your business, shows which brands are being recommended, and helps identify why your brand isn’t part of the answer.

My Experience With ZeroRank

Let me give you the full picture, friction and all.

Topics and prompts are the standout feature. Once I got past setup, the ability to define exactly which prompts to track was the most valuable thing in the platform. Rather than letting ZeroRank decide what’s relevant, I could dial in on the specific questions I want to rank for in AI search and get a clear read on how I’m doing. Seeing those prompts tracked across multiple AI engines with sentiment and rank data attached makes this genuinely useful for building a real GEO strategy.

Onboarding hiccup. When I first logged in after purchasing through AppSumo, the platform didn’t recognize my AppSumo purchase and presented subscription upgrade prompts instead of taking me to the dashboard. I had to contact support to get it sorted. ZeroRank has acknowledged this and is working to smooth it out, but it’s a frustrating start when you’re eager to dig in.

Topic creation needs a manual option. When you add a topic, ZeroRank auto-generates prompts based on what it infers about your site. In my case, it didn’t have the cleanest read on MarketingWithDave.com’s focus, so I ended up with generated prompts I didn’t want and had to delete them manually. I’d much rather have the option to create a topic without auto-generating so I can define my own prompts from scratch. ZeroRank says this is on the roadmap.

Starting from zero is humbling. The Brands overview showed MarketingWithDave.com at 0% visibility, 0 sentiment, and rank #0 across all tracked prompts. AppSumo led the category at 38% visibility, followed by Reddit at 33% and G2 at 19%. This is a new pursuit for me so not shocking but still, you never want to see zero results. It confirmed exactly why I need a tool like this.

Competitor auto-tracking is accurate and hands-off. 111 active brands were tracked automatically, including competitors in the affiliate marketing and software review space that I would have added myself. The merge suggestions for potential duplicate entries were a nice quality-of-life touch, and there’s no limit on how many brands you add manually.

AI model access at Tier 1. The ZeroRank website lists Gemini, Grok, and Bing Copilot as requiring an upgrade, which caused confusion since the AppSumo listing includes all models. Here’s the clarification from ZeroRank directly: AppSumo buyers do have access to all AI models, but Tier 1 limits you to three active simultaneously. The website messaging reflects their old pricing before a recent change. You choose which three you want active, so you’re not stuck with only the basic engines. That’s an important distinction and one I wish had been clearer upfront.

Content generation is not included at Tier 1 or Tier 2. If you want AI-assisted content creation and optimization, those require credits not bundled at the lower tiers. You can purchase them separately ($5 per content generation, $2 per optimization), or they come as a one-time credit bundle at Tier 3 and above. ZeroRank’s position is that this is stated in the AppSumo tier breakdown, and technically that’s accurate. It’s still something to factor into your buying decision.

Workflows are enterprise-only. The Workflows section is visible in the dashboard but locked, requiring an enterprise plan starting at $499/month. This is not included in any AppSumo tier. ZeroRank is exploring per-credit access for AppSumo users, but there’s no ETA.

See the current AppSumo deal for ZeroRank

The Chats Timeline

The Chats Timeline shows how AI engines actually responded to your tracked prompts over time. You can see the full answer from ChatGPT, Perplexity, and AI Overviews side by side, along with which brands were mentioned in each response. This gives you a real audit of the AI search landscape in your category rather than just an aggregated score, and it’s useful for understanding the framing and language AI uses when covering your topic area.

The Recommendations Are Specific

The on-page tab surfaces article types and content formats that AI engines in your category are actively citing, including specific competitor domains to draw inspiration from.

The off-page tab identifies where to engage: in my case, r/appsumo, r/SaaS, and r/Affiliatemarketing were flagged as the top subreddits for mentions. Each recommendation card shows priority level and lets you mark it as Done, Declined, or Todo.

Technical AI Readiness Score

MarketingWithDave.com scored 60 on ZeroRank’s AI Readiness Score (9 of 15 checks passed). The good news: essential files are covered, including llms.txt, robots.txt, sitemap.xml, and HTTPS. The gaps are in schema markup: Organization, Article, Product, FAQ, and HowTo are all missing. Each gap includes a plain-language explanation of why it matters for AI citation accuracy, which makes this more actionable than a generic audit score.

Source Gap Analysis

The Sources view is one of the more strategically useful parts of the platform. It shows which domains AI engines are pulling from in your category, usage percentages, and average citations per answer. For my topic area, appsumo.com was the most-cited source at 129.2% usage (meaning it appears in more than one citation per answer on average), followed by youtube.com at 104.2% and reddit.com at 68.8%. MarketingWithDave.com didn’t appear at all. That’s a clear signal about where to focus outreach and content placement efforts.

What I Liked and What Needs Work

Pricing and Plans

ZeroRank is available on AppSumo as a lifetime deal across six tiers, priced from $69 to $1,199. The main differences across tiers are the number of brands and prompts you can track, how many AI models you can run simultaneously, and whether content generation credits are included (Tier 3 and above come with a one-time credit bundle).

Tier 1 at $69 covers the full monitoring, recommendations, and source intelligence features with access to all AI models (three active at once). Content generation and Workflows are not part of any AppSumo tier.

ZeroRank’s regular monthly pricing starts at $89/month, which means Tier 1 pays for itself in under a month against list price. If you’re an agency tracking multiple client brands, the higher tiers scale accordingly.

Bottom Line

Most AI visibility tools tell you whether your brand appears in AI-generated answers. ZeroRank goes a step further by showing which brands are being recommended instead, where your visibility gaps exist, and what actions may help improve your presence.

The biggest challenge with ZeroRank is not learning the interface but learning how to think about prompts and topics. Once that clicks, the platform becomes much easier to understand and significantly more valuable. The ability to monitor specific questions, see the brands and entities being mentioned, review supporting sources, and identify competitive gaps makes the insights far more actionable than many AI visibility tools I have tested.

If your goal is simply to track rankings, there are plenty of SEO tools that already do that. If you want to understand how AI platforms are answering questions in your industry, who they are recommending, and why your brand may be missing from those conversations, ZeroRank offers a compelling approach.

See the current AppSumo deal for ZeroRank

This content is for educational purposes and reflects my experience, review of the product, and current publicly available deal information. Always evaluate tools based on your specific business needs, goals, and workflows before making a decision.

Looking for more marketing software reviews? See my full list of marketing tools and software I recommend.

Most SEO tools answer the wrong question.

They tell me my title tag is too long, my meta description is missing, or my page speed needs work. All true. None of it explains why a thinner page with weaker writing is sitting above mine in the search results, or what I would need to change to close that gap.

Textfocus has a different approach. Rather than running down a technical checklist, it analyzes a page through three lenses that most on-page tools ignore entirely: semantic relevance (how well your word choices match what ranking competitors are actually using), EEAT signals (the Experience, Expertise, Authoritativeness, and Trustworthiness factors Google uses to evaluate content quality), and GEO readiness (how well AI search engines and LLMs can parse and cite your page). That combination provides a perspective on content quality and AI visibility that traditional crawl reports simply cannot offer.

To find out whether the reports were genuinely useful or just impressive-looking dashboards, I put my 5 marketing awareness stages blog post through every major tool in the platform. Some of what came back confirmed things I already suspected. A few findings stopped me cold, including one about my table of contents that I will get to shortly.

Here is an honest account of what I found.

Affiliate disclosure: If you purchase through my link, I may earn a small commission at no additional cost to you. I only share tools I have used myself.

See how I rate software tools

Start Using Textfocus Today

The 30-Second Decision

If you create content for SEO and want a tool that does more than tell you to “add your keyword to the title,” Textfocus is worth your attention. It runs a full semantic analysis of any individual published page against real competitors in Google, scores your content for EEAT and GEO/AI readiness, and gives you specific word-level gaps to close. It is genuinely more thorough than most on-page tools I have used at any price.

The catch is that the interface takes some getting used to and the onboarding experience is thin. Once you are past that learning curve, though, the reports are dense with signal that you can act on right away.

What impressed me most: Semantic Analysis

Biggest weakness: Workflow and navigation

Is Textfocus Right for You?

Why I Bought Textfocus

I have been writing about content marketing and SEO at MarketingWithDave.com for years, and I am always looking for tools that help me diagnose what is actually wrong with a page rather than just confirming what I already know. Most on-page SEO tools tell you to optimize your title tag and add your keyword to the first paragraph. Textfocus promises to go deeper: semantic coverage analysis using TF-IDF and competitive benchmarking, EEAT scoring, and a separate GEO/AI readiness score that matters more every month as AI search grows.

I recognize a tool with genuine diagnostic depth when I see one. Textfocus looked like the real thing, so I picked it up.

What Textfocus Actually Does

Textfocus is a page-level SEO and GEO analysis tool built by Christophe Hilmoine, a solo bootstrapped developer based in France who has been refining this product since 2016. You submit a single URL with a target keyword and it returns a layered set of reports. You can also load a CSV file to submit multiple URLs in a batch, though this still produces individual per-page analyses rather than a site-wide crawl. The tool is built around depth on one page at a time, not breadth across an entire domain.

The main tools available from the navigation menu are:

• Page SEO Analysis — the core on-page audit covering technical and content factors
• Analysis IA — the GEO/AI Readiness report that evaluates how well AI crawlers and LLMs can parse your page
• EEAT Analysis — a dedicated report scoring Experience, Expertise, Authoritativeness, and Trustworthiness
• Optimized Copywriting — a writing assistant that generates content direction based on your target keyword
• Semantic Analysis — finds the right words to use based on competitor benchmarking
• Query Comparison — helps you decide whether a topic warrants one page or two, useful for avoiding keyword cannibalization
• Keyword Audit, Research Volumes, Search for Questions, Suggested Keywords, Alphabetical Generator — a set of keyword research utilities

The analysis engine is the star of the show. The keyword research utilities are useful supplements.

My Experience With Textfocus

To put this review on solid ground, I ran a single page through every major Textfocus tool. The target keyword was “five awareness stages.” It is a 4,153-word post with 32 unique internal links (most of those are in the header and footer), a well-organized heading hierarchy, and valid JSON-LD structured data. A solid page to stress-test a diagnostic tool against.

Here is what the reports actually surfaced.

The Page SEO Analysis: Thorough and Mostly Right

The SEO Page Analysis report came in at 53%, which sounds low until you look at what is being measured. The tool flagged my meta title at 99 characters and correctly called it too long, with an AI-suggested alternative of “5 Awareness Stages Explained – Marketing Guide” that I may actually use. It flagged my meta description at 171 characters and suggested trimming it under 170. It noted that 13 H2 tags is more than the recommended maximum of 10, and flagged that my page has too few first-person pronouns for content claiming hands-on experience.

What makes the SEO report more useful than most is the competitive context it provides alongside the score. My page scored 53/100 against a competitor average of 42/100 for the same keyword. My relevant word count was 2,604 against a competitor average of 746. In other words, 53% is not a disaster — it reflects that I am competing against thinner content and my main gaps are fixable technical items, not content depth.

The Semantic Analysis: Where Textfocus Earns Its Price

The Semantic analysis report that genuinely separates Textfocus from most on-page tools. Rather than checking keyword density, it benchmarks every significant term on your page against the range of occurrences across competitors who are actually ranking.

For my page, it found that the word “journey” appeared only once but competitors use it 3 to 38 times in the ideal range. “Potential” appeared zero times against a benchmark of 4 to 15. “Content” appeared 72 times, which is nearly double the maximum competitor occurrence of 38. These are specific, actionable gaps and excesses that I can address in a content refresh without guessing at what to change.

The semantic score came in at 67% with an interest score of 89/100 in the competitive benchmarking. That combination tells me the content signals are strong overall — the remaining gaps are specific terms to weave in, not a wholesale rewrite.

The EEAT Analysis: Honest and a Little Uncomfortable

The EEAT analysis report broke down as follows: Experience 70%, Expertise 79%, Authoritativeness 40%, Trustworthiness 90%. The authoritativeness score is the weak point, and the tool is specific about why: no direct quotes or blockquotes detected, no statistics or expert citations found, and no structured data linking to an author profile page.

Those are real gaps for any content site trying to build topical authority, and that level of specificity is useful. The trustworthiness score of 90% reflects HTTPS, no keyword stuffing, clean sentence length averaging 16 words, and legal pages in place — the baseline trust signals Google looks for.

The Analysis IA (GEO / AI Readiness): The Report I Did Not Expect to Find This Useful

In the AI readiness analysis, the overall GEO score was 76.1%, with strong marks across valid JSON-LD (96%), descriptive image alt text (95%), page segmentation (93%), page structure (89%), and robot accessibility (100%). The two major problem areas were page load performance (2% — slow server response time and blocking JavaScript) and the table of contents (0%).

That table of contents finding is the single most valuable thing Textfocus surfaced for me. My TOC is generated by a JavaScript plugin, which means it is invisible in the raw HTML. AI crawlers and LLMs parse the static source, not the rendered output. They cannot see my TOC at all. The fix is either switching to a server-side rendered TOC or tagging the existing one with a recognizable aria-label or id attribute that bots can identify.

That is the kind of insight I would not have found in any traditional SEO tool, and it has a direct bearing on how AI search engines like Perplexity and ChatGPT Search choose to cite and structure answers from pages like mine.

Start Using Textfocus Today

What Needs Work

Textfocus has real rough edges that are worth knowing about before you buy.

The navigation is the biggest friction point. The Tools menu and the Account / My Analysis area both show your saved analyses, which is confusing initially. Running a new analysis requires going through the Tools menu, not the account area — and this is not obvious at first. Once you are inside a specific tool, the navigation bar is no longer anchored to the top of the page, so getting to another tool requires scrolling back up or clicking away. At standard laptop resolution, the last two items in the Tools menu — Suggested Keywords and Alphabetical Generator — are cut off.

There are occasional untranslated French labels and non-localized date formats scattered through the reports and interface. Given that this is a bootstrapped solo product built in France, it is understandable context rather than a red flag, but English-speaking users will notice it.

The keyword input has some quirks. Pasting a list of keywords from an external tool can import invisible characters that register as separate entries, requiring manual cleanup. The field behavior is also inconsistent — sometimes tabbing confirms your entry, sometimes it drops it, and you need to press Enter. Small things individually, but they add up when you are trying to build a repeatable workflow.

There is no project or campaign layer. Each report lives in its own area and you re-find past analyses through separate tabs for each tool. Running a full diagnostic on one page means opening each tool to run the analyses, and tracking the results yourself. A project wrapper that could kick off all reports for a given URL at once and present the results together would make this feel like a significantly more complete platform.

Two additional polish issues: the Performance score box in the main dashboard took several times before it finally loaded during my testing, and PDF exports are given generic file names that become difficult to tell apart once you have exported two or three reports. Neither is a deal-breaker, but both are the kind of thing you notice in day-to-day use.

The Optimized Copywriting tool accepts only your target keyword, a word count target, and a language selection. It generates a content direction or brief rather than actually drafting the article. That is useful but more limited than the tool name implies.

Textfocus Inside Your AI Assistant

One capability worth calling out separately: Textfocus now supports MCP (Model Context Protocol), which means you can connect it directly to Claude, ChatGPT, or other AI assistants that support MCP integrations. In practice this means you can ask your AI assistant to run a Textfocus page analysis, look up related keywords, or check an SEO score without leaving the chat interface. For anyone building AI-assisted content workflows, that is a meaningful time saver. Plan 1 includes 30 MCP API calls per day, with higher tiers adding more.

Bottom Line

Textfocus does something most SEO tools do not: it treats a published page as a system with multiple diagnostic layers and benchmarks each one against what is actually ranking for your keyword. The semantic gap analysis is specific enough to act on immediately. The EEAT breakdown tells you exactly which signals are missing and why. The GEO/AI Readiness report surfaces problems — like a JavaScript-rendered table of contents being invisible to AI crawlers — that traditional SEO tools do not even look for. And the MCP integration means you can pull these insights directly into an AI assistant workflow without switching tabs.

The interface friction and lack of a project layer will slow down anyone trying to build a systematic audit workflow. These feel like the natural constraints of a bootstrapped product that has prioritized analytical depth over UX polish — a trade-off I can live with at this price point.

If you write content for search and want diagnostic depth that goes well beyond keyword density checks and title tag advice.

Start Using Textfocus Today

This content is for educational purposes and reflects my experience, review of the product, and current publicly available product information. Always evaluate tools based on your specific business needs, goals, and workflows before making a decision.

Looking for more marketing software reviews? See my full list of marketing tools and software I recommend.