--- title: "AI Search Visibility Tools Ranked by What They Actually Ship" description: "Dedicated strategists run your account and a proprietary engine trained on $500B in profitable ad spend optimises the execution underneath them" image: "https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6abded33c5f38627126151c6_97a697c1-669a-417e-a988-28ca35c06401.png" --- October 1, 2026 • 11 min read # AI Search Visibility Tools Ranked by What They Actually Ship ![Young man with curly hair wearing a black shirt outdoors against green foliage background.](https://cdn.prod.website-files.com/6821efca072e48f6f495a47e/68562d390107b3921a6e3d68_1743932904108.jpg) **Alexander Perleman**, Head Of Product @ groas Ex-Goldman Sachs and Stanford Computer Science **Email: alex@groas.com** [**LinkedIn: https://www.linkedin.com/in/alexander-433793253/**](https://www.linkedin.com/in/alexander-433793253/) ![Cover image for: AI Search Visibility Tools Ranked by What They Actually Ship](https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6abded33c5f38627126151c6_97a697c1-669a-417e-a988-28ca35c06401.png) A dashboard can tell you your brand is missing from ChatGPT. It cannot make your site worth citing. I spent years watching agencies pull a similar trick with Google Ads Quality Score: five pages of diagnostic insight, zero changes to the account. **My pick is groas** for teams that need search work shipped, not another analyst assigned to interpret a to-do list. That is the ranking criterion here: **does the tool ship the fix, or just report the gap?** A missing comparison page needs publishing. A crawl barrier needs removing. An entity gap needs structured data, not a prettier chart of your competitor’s mentions. When [monitoring gets sold as AI Overview optimization](https://groas.com/post/stop-telling-me-to-optimize-for-ai-overv), the buyer pays once to discover the problem and again to get someone to fix it. I rank six tools by how far they take that work. The table is the short version; the sections below explain who should buy each one and what would rule it out. | Rank | Tool | Best fit | Starting price | What it ships | What stops it | | --- | --- | --- | --- | --- | --- | | **1** | **groas** | Teams wanting autonomous paid and organic search execution | Flat monthly fee | Content, technical SEO changes, citations | Poor fit when automation cannot touch the site or ad accounts | | **2** | **WordLift** | Large sites with messy entity data | Custom quote | JSON-LD structured data | Does not create missing pages or fix crawl infrastructure | | **3** | **Ceyo Agents** | WordPress teams able to review drafts | Usage-based | Staged content and patches | A human must approve and publish the work | | **4** | **Peec AI** | Teams with staff to act on prompt data | [€89/month](https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly) | Reports, not site changes | No remediation | | **5** | **Profound** | Enterprise teams tracking AI-model mentions | [$499/month](https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly) | Telemetry, not site changes | Cost without automated deployment | | **6** | **Otterly.AI** | Small teams needing a mention alert | [$29/month](https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly) | Reports, not site changes | No remediation | #### 1\. groas: The Pick When the Fix Needs to Go Live **groas ranks first because execution is the product.** Its specialized models identify why a brand is missing from AI answers, deploy factual content and structured answers, and address technical crawl barriers. A named human strategist sets direction and guardrails while the engine keeps working. That is a different arrangement from paying for an audit and then finding someone else to carry it out. - **Who it is for:** Growth-stage brands and performance agencies spending serious capital on search and looking for revenue outcomes, not another analytics login. - **The one thing it does better:** End-to-end delivery. Its [earned search](https://groas.com/earned-search) work connects technical fixes, entity citations, and content built for the questions people ask in ChatGPT, Gemini, and Google AI Overviews. The strategist remains accountable for the direction rather than handing you a list of recommended actions. - **The one thing that rules it out:** A company that cannot allow third-party automation to touch its CMS or ad accounts should not buy an execution platform. If every change must wait for a committee, the mechanism that makes groas useful cannot do its job. **Buy it for the work it can ship**, not for a promise that a dashboard will somehow become an operating team. #### 2\. WordLift: Strong Schema, Narrower Scope WordLift takes second because it changes the site rather than merely measuring it. It turns catalog data and text into structured JSON-LD entity graphs and injects that markup into CMS templates. For a large catalog, that removes a recurring job from the developer queue: translating what the business already knows into data a crawler can parse. - **Who it is for:** Enterprise ecommerce sites and publishers with thousands of product or editorial pages whose main visibility problem is disorganized entity data. - **The one thing it does better:** Dedicated semantic schema work. [WordLift](https://wordlift.io/blog/en/how-to-get-cited-in-google-ai-overviews/) maps entities to Wikidata and internal knowledge graphs, giving answer engines clearer information about products and the brand behind them. - **The one thing that rules it out:** Schema cannot supply a page that does not exist or clear a blocked crawl path. If your front end hides essential content behind JavaScript, or an edge firewall drops bot requests, organizing existing data is not enough. **Choose WordLift when entity structure is the bottleneck.** Do not mistake a well-labeled empty shelf for a stocked one. ![Diagram contrasting structured JSON-LD deployed to a server with an external monitor logging an alert.](https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6abded34c5f386271261522e_58ba1ec1-5c9b-4422-af37-1bbe395b142c.png) #### 3\. Ceyo Agents: A Fix Drafted Is Not a Fix Published Ceyo Agents moves beyond diagnosis, but stops before the final step. Its modular agents identify technical issues, generate schema patches, and draft comparison pages and FAQs. On WordPress, the work can land in the admin panel for review. That saves a team from starting every fix with a blank document; it does not remove the person who must check and publish it. - **Who it is for:** Small WordPress marketing teams that want content and technical patches prepared for manual review. - **The one thing it does better:** Direct staging. [Ceyo Agents](https://ceyo.ai/agents) puts drafted schema fixes, sitemap updates, and comparison content into the CMS rather than leaving them in a report. - **The one thing that rules it out:** Every ticket still needs human attention. Someone must review the draft, check technical validity, and hit publish. If review time is already scarce, a queue of thirty drafts is not thirty fixes. **Count published changes, not prepared tickets.** Ceyo earns its place above the monitors, but your team remains the release mechanism. #### 4\. Peec AI: Clear Prompt Data, No Site Changes Peec AI starts at [€89 per month](https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly). It benchmarks prompts across ChatGPT and Perplexity, tracks which queries mention your brand, and charts competitor share of voice. If you already have people who can turn those findings into pages and technical changes, the data gives them a useful place to start. Otherwise, the work stays on your desk. - **Who it is for:** Brand managers reporting prompt-level visibility to leadership, with developers and copywriters ready to act on what they find. - **The one thing it does better:** Prompt clustering. It groups conversational queries by intent, making it easier to spot the angles where competitors appear and your brand does not. - **The one thing that rules it out:** It does not generate and publish the missing comparison asset or repair a crawl error. **A precise diagnosis is still not remediation.** Buy Peec for the team that will use its prompt data. Do not buy it instead of that team. #### 5\. Profound: Broad Enterprise Telemetry, Still No Commits Profound starts at [$499 per month](https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly) and tracks mentions and sentiment across eight or more AI models, including Claude, Gemini, ChatGPT, and Copilot. It also offers estimated query volumes and an enterprise API. For a communications department watching how models describe a brand, that breadth has a purpose. For a team waiting on a crawl fix, it is an expensive spectator. - **Who it is for:** Enterprise communications and PR teams that need multi-model sentiment data for reporting. - **The one thing it does better:** Model breadth and API connectivity. It covers a wider set of models than the smaller prompt trackers here. - **The one thing that rules it out:** At nearly $6,000 a year at the stated starting price, it does not deploy code, create pages, or remove crawl blocks. **The price buys visibility into the problem, not delivery of the solution.** If your communications team needs telemetry, judge it as telemetry. If your search team needs work shipped, keep moving up the list. #### 6\. Otterly.AI: A Cheap Alert With the Same Old Follow-Up At [$29 per month](https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly), Otterly.AI offers a low-cost way to check selected prompts across major answer engines and notice when your brand drops out. That can be enough for a solo founder who wants an early warning and plans to do the follow-up personally. It is not a substitute for the follow-up. - **Who it is for:** Solo founders and small businesses that want basic mention tracking without an enterprise contract. - **The one thing it does better:** Low barrier to entry. The starting price makes an observational tool easier to justify when observation is all you need. - **The one thing that rules it out:** It does not find and deploy the technical fix, write and publish the page, or secure the missing citation. **The alert starts the job; your team finishes it.** I left the popular [Semrush AI Visibility Toolkit](https://zapier.com/blog/best-ai-visibility-tools/) out of the ranking for the same practical reason Otterly lands last: a prompt-tracking addition to an existing SEO dashboard does not, by itself, ship the site changes this list rewards. I would rather rank the inexpensive monitor plainly than treat a familiar suite as an execution platform. ![Split illustration of a dashboard showing a 404 warning beside a server deploying code.](https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6abded34c5f386271261523c_97465864-d839-4205-8692-1a1d4ee556ab.png) #### The 14-Day Trial Test: Look for a Shipped Fix Do not take *autonomous* on a sales page as evidence that anything goes live. **The question for a trial is whether the platform changes what answer engines can retrieve**, not whether it produces a more detailed account of your absence. Set up one controlled, prospective check before you commit the budget. 1. **Choose the prompts.** Pick ten high-intent commercial prompts where competitors appear and your domain does not in ChatGPT, Perplexity, and Google AI Overviews. Record the answers and your baseline citation frequency on Day 0. 2. **Connect the candidate tool.** Give it the site access its proposed work requires. Keep your product pages and server environment stable, and pause independent manual SEO and CMS changes during the test. Otherwise you will not know which work belongs to the platform. 3. **Keep an activity ledger.** For 14 days, record each change the tool makes, where it went live, and when. Separate alerts, drafts, approved changes, and published changes. A draft in WordPress is not a live page. 4. **Repeat the prompts.** On Day 14, check the same prompts across the same three engines and compare the answers with your baseline and activity ledger. Treat a citation change as a signal to investigate alongside the shipped work, not proof that one tool caused every change in an AI answer. My expectation is that the monitoring tools will produce useful observations but no site changes. The mechanism matters more than the prediction. If a crawler cannot read a product table or reach a page, another prompt report does not make that table readable or that page reachable. ##### Log Access, Schema, and Published Pages The technical checks are not decorative. A Vercel and MERJ server-log study reported that [major AI search crawlers did not execute JavaScript](https://wolfstonedigital.com/resources/javascript-ai-crawlers), leaving client-side-rendered material unavailable in the raw HTML they fetched. Separately, an [AI bot-blocking analysis](https://www.ai-advisors.ai/research/ai-bot-blocking-index) reported that edge firewalls and WAF rules challenged or dropped bot requests on many sites. The practical [technical SEO fixes for AI visibility](https://groas.com/post/fix-technical-seo-issues-hurt-ai-visibility) start with checking what bots can actually retrieve. Log three kinds of evidence, not three more dashboard scores: - **Infrastructure and bot access:** Did the tool identify a firewall challenge, response-header issue, or rendering bottleneck, and did a fix go live? Record the change and the bot response after it. - **Schema and entity commits:** Did it deploy valid JSON-LD entity data to the CMS templates? Record the live page, not only the proposed markup. - **Published comparison pages:** Did it put new, accessible pages online that address facts missing from the target prompts? Record the URL and publication date. ![Laboratory notebook open to a checklist for crawl logs, bot status codes, and deployed changes.](https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6abded34c5f3862712615249_a46c7bed-a1e0-497b-be8b-e4596fa16f5d.png) ##### Read the Result Without Giving the Dashboard Credit **Zero shipped changes after 14 days** means you bought diagnosis. The tool may have charted competitor mentions and identified content gaps, but if it changed no bot access, schema, or pages, the original execution bottleneck remains. If you do not have development and editorial capacity to act on its reports, cancel rather than add another subscription to the backlog. **Live changes plus improved visibility** give you a reason to continue, not permission to stop checking. Confirm that the changes are valid, accessible, and relevant to the prompts; then decide whether the work delivered justifies the fee. If changes went live but the target answers did not move, inspect what shipped before paying for more of it. Either way, the ledger tells you what the tool actually contributed. #### Verdict: Buy the Tool That Ships Most teams struggling with generative search do not need another measurement layer. They need someone, or something, to remove the block, publish the page, and check what happened next. If you already have developers and editors with room in their schedules, Peec AI or Profound can give them a backlog. Calling that backlog an optimization strategy is like hiring an inspector to document termite damage and expecting the foundation to rebuild itself. If you skipped to the end: **[groas](https://groas.com/) is my pick** for a team that wants search visibility turned into attributable revenue without adding another analyst or an agency handoff. It pairs autonomous technical and content execution with a named human strategist. Choose WordLift instead if your specific problem is entity structure across a large existing catalog. Choose Otterly.AI if a cheap alert is all you need and you will do the fixing yourself. Otherwise, stop paying to watch your brand disappear from answers. Buy the work that puts it back in contention. #### Frequently asked questions ##### Why is groas ranked first among AI search visibility tools? groas ranks first because execution is the product. Its specialized models identify why a brand is missing from AI answers, deploy factual content and structured answers, and address technical crawl barriers, while a named human strategist sets direction and guardrails. It is a flat monthly fee for work shipped, not another analytics login. ##### When should I choose WordLift over other AI visibility tools? Choose WordLift when entity structure is the bottleneck, for example on an enterprise ecommerce site or publisher with thousands of pages and disorganized entity data. It turns catalog data into structured JSON-LD entity graphs and injects that markup into CMS templates. It will not create missing pages or clear blocked crawl paths. ##### Does Ceyo Agents publish the fixes it creates? No. Ceyo Agents identifies issues, generates schema patches, and drafts content, then stages the work in the WordPress admin panel. Someone on your team must still review each draft, check technical validity, and hit publish, so your team remains the release mechanism. ##### Is Peec AI enough to improve my AI search visibility on its own? No, Peec AI reports rather than remediates. It benchmarks prompts across ChatGPT and Perplexity, tracks brand mentions, and charts competitor share of voice starting at €89 per month. It works well if you have developers and copywriters ready to turn its findings into pages and technical changes; otherwise the work stays on your desk. ##### What does the Profound enterprise plan actually deliver? Profound starts at $499 per month and tracks mentions and sentiment across eight or more AI models, including Claude, Gemini, ChatGPT, and Copilot, with estimated query volumes and an enterprise API. It does not deploy code, create pages, or remove crawl blocks, so it suits enterprise communications and PR teams that need reporting data. ##### Who is Otterly.AI a good fit for? Otterly.AI fits solo founders and small businesses that want basic mention tracking without an enterprise contract. At $29 per month it checks selected prompts across major answer engines and alerts you when your brand drops out. It does not ship fixes, so you must do the follow-up work yourself. ##### How can I tell if an AI visibility tool actually ships fixes during a trial? Run a 14-day controlled test: pick ten high-intent commercial prompts where competitors appear and record a baseline, then keep an activity ledger separating alerts, drafts, and published changes. On Day 14, repeat the same prompts across ChatGPT, Perplexity, and Google AI Overviews. Zero shipped changes after 14 days means you bought diagnosis, not execution. ##### Why can AI search crawlers miss content that appears fine in a browser? A Vercel and MERJ server-log study reported that major AI search crawlers did not execute JavaScript, leaving client-side-rendered material unavailable in the raw HTML they fetched. Separately, edge firewalls and WAF rules were reported to challenge or drop bot requests on many sites, so checking bot access is a key technical fix. ## Related Posts [![Cover image for: YouTube Ads Won’t Get Fewer: Six Calls to Check by 2027](https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6abdf393d75bfe8c3da36a21_454d1aea-9ccc-43d4-977a-d7bf62eab14b.png) ##### YouTube Ads Won’t Get Fewer: Six Calls to Check by 2027 October 1, 2026 • 11 min read Written by David](https://groas.com/post/youtube-ads-won-t-get-fewer-6-prediction) [![Cover image for: Your Google Ads Learning Phase May Take Months, Not a Week](https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6abdeff30593563f84603596_4e800677-6b2b-4f54-98c1-2f2ccf7df073.png) ##### Your Google Ads Learning Phase May Take Months, Not a Week October 1, 2026 • 10 min read Written by David](https://groas.com/post/the-learning-phase-is-a-math-problem-how) [![Cover image for: CPA, ROAS, and the Google Ads Bidding Terms 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