Best AI Visibility Tools for GEO

Which GEO tool should you shortlist?

Generative engine optimization (GEO) means improving how a business is represented in AI-generated answers. Monitoring software helps you observe that representation. Improving it also takes accurate content, accessible pages and credible sources.

A tool can show your brand appearing more often while your sales stay flat. It can also report zero visibility because its questions barely overlap with what your customers ask. Buying well starts with choosing the right questions and understanding how the answers are collected.

The recommendations below are based on public product documentation and plan details checked on September 28, 2026. They are shortlists by use case, not results from a controlled hands-on benchmark. Accuracy, support quality and business impact have not been independently tested here. Martecks also offers an AI visibility checker, linked separately below.

Sources: Otterly pricing, Peec published price reference, Ahrefs packages, Semrush pricing, Scrunch pricing, Profound current plans

What AI visibility tools actually measure

AI visibility tools collect or analyze AI answers and report where a brand appears, which pages are cited, and how competitors are represented. AEO tools, GEO tools and LLM visibility platforms often overlap in this job. The label alone tells you little about coverage.

Separate four measurements: a mention names your business; a citation links to a source; a recommendation suggests you as a choice; a referral brings someone to your website. A negative mention is still a mention. A citation to your educational article does not mean the answer recommended your service.

These tools primarily provide measurement. Acting on the findings can require changes to your website, business profiles or independent sources. Our guide to citation engineering explains how those sources differ; the AI search strategy guide connects the work to buyer questions.

1. Otterly AI: a small monitoring budget

Otterly lists Lite at $29 per month for 15 prompts, Standard at $189 for 100, and Premium at $489 for 400. Its pricing page includes daily tracking across ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot. Google AI Mode, Gemini and Claude are add-ons.

Worth considering when you already know the small set of questions that matters. Fifteen carefully chosen prompts can cover a narrow service better than hundreds of loosely related questions.

The limitation to price first is engine coverage. The entry price does not buy every platform. Standard lists API and MCP access; do not assume those are included in Lite. Skip the smallest plan if splitting prompts across services and locations would leave each segment barely represented.

2. Peec AI: shared prompt monitoring

Peec lists 50 prompts, three selected models, daily tracking, unlimited users and one project in Starter. Pro lists 150 prompts and two projects. Advanced adds more projects and multi-country support; Enterprise lists API access. Peec reports visibility, position, sentiment and source information.

That makes it a candidate for a team that wants several people reviewing the same monitoring data. Check how projects map to your brands before assuming unlimited users means unlimited clients.

Peec publishes Starter at $95/month, Pro at $245/month and Advanced at $495/month in its official reference dated July 2026. Confirm current checkout prices and billing terms. The Peec pricing page lists project and model allowances separately; API access is listed under Enterprise. Ask for confirmation of country coverage in your selected plan.

3. Ahrefs Brand Radar: discovery and custom tracking

Ahrefs Brand Radar separates its AI Visibility Index from Custom Prompts. The index lets you explore pre-collected answers; custom tracking follows questions you choose. Ahrefs lists custom prompts from $50 per month and the index from $199 per month, with coverage and package details to confirm.

This distinction matters for a new business. Ahrefs says the index may have limited coverage for brands with little search demand. Custom prompts are the more relevant option when your questions are highly specific.

Shortlist it for competitor and topic discovery, especially when that research feeds existing Ahrefs work. Do not interpret absence from the index as proof that your business never appears in AI answers. Also inspect check consumption: Ahrefs counts platform, location and update separately, and some models consume more checks.

4. Semrush: AI visibility alongside SEO

Semrush lists an AI Visibility Base plan at $99 per month per domain on an annually billed offer, with 25 custom prompts. Its help documentation describes prompt research, competitor analysis and AI search checks in Site Audit. Confirm the billing term in your account because the pricing and help pages describe it differently.

Consider it when your team already uses Semrush and needs to connect AI findings with SEO research. The purchase question is whether your existing bundle covers enough of the job before adding another platform.

Watch the scope: broad visibility reports and custom prompt tracking are different features. A platform shown in a research report is not automatically included in every tracking mode. Users, domains and extra prompts can add cost. Ask for a quote that includes your full team and client list.

5. Scrunch: monitoring with page audits

Scrunch publishes Starter at $300 month to month, or $250 per month billed annually. It includes 350 custom prompts, three users and five page audits. Growth lists 700 custom prompts and ten audits. The platform describes citation tracking, personas and agent traffic monitoring alongside its page checks.

Shortlist it when someone can act on technical and content findings as well as review monitoring. Five audits can be useful for selected priority pages, but that allowance should not be confused with an unrestricted site crawl.

Scrunch also describes AXP, its Agent Experience Platform. Ask which package includes it and what site changes it requires. A software subscription, technical deployment and ongoing optimization are separate costs to establish before committing.

6. Profound: a broader AI marketing evaluation

Profound presents its current offering around AI research, writing, reporting and collaboration. Its pricing page advertises a trial with 50 prompts run daily for seven days across ChatGPT, Gemini and Google AI Overviews, plus limited AI Marketer credits.

That trial is a useful place to ask whether the broader workflow earns its cost for your team. Bring a specific task, such as investigating why competitors appear for one product category, and request the underlying answers and sources.

The current paid offer is a custom Enterprise package. Its comparison lists history, CSV/JSON exports and API access in Enterprise, with none in the trial. Request an export demonstration before signing. Obtain the engine coverage, credits and contract term in writing; older fixed-price comparisons may describe an earlier offer.

Feature limits that can change your decision

A capability advertised for the platform may belong to a higher plan. This matrix records specific documented allowances and questions to settle in a trial. "Confirm" means the entitlement has not been established here; it does not mean the feature is absent.

Sources: Semrush limits and licenses, Peec plan comparison, Otterly plan comparison, Scrunch plan comparison, Profound plan comparison

What I would choose for four common buyers

For a local business, begin with a small manual baseline. Choose Otterly Lite when 15 prompts cover the actual services and locations and its included engines match your needs. Move up only when you can name the questions the allowance leaves out.

For a solo marketer already using Semrush, price the AI addition to the existing account first. It is the more practical shortlist when the findings need to flow into the same SEO work. Choose a dedicated tracker instead if its engine coverage or total subscription cost fits better.

For an agency, evaluate Peec alongside Otterly Standard using two client projects. Require an actual client report and a written quote for the full portfolio. Unlimited team members alone does not answer whether clients can see only their own data.

For an established brand, start with Ahrefs when the main question is which topics and competitors to investigate. Compare Scrunch when page audits matter, and Profound when marketing workflows and enterprise data access matter. These recommendations reflect the documented fit; a trial should settle usability and data quality.

The pricing calculation most comparisons miss

A prompt is a question. A check is one observation under a particular set of conditions. For budgeting, start with: questions multiplied by platforms multiplied by locations multiplied by runs. This estimates workload, not a universal vendor billing rule.

Suppose an agency tracks 30 questions across three platforms in two locations every day for a 30-day month. That is 5,400 observations. Weekly runs would be about 720 in a four-run month. A plan advertised as 30 prompts might cover either workload, neither, or charge extra by engine. Ask which.

Compare all-in subscription cost for that same workload, including seats, projects, history, exports and required add-ons. Then add the staff time needed to interpret results. The cheapest dashboard is expensive if someone spends hours reconstructing its evidence.

How to judge accuracy before paying

Ask for an exported answer, its timestamp, the engine, the prompt and the cited URLs. Then ask how the answer was obtained: through a consumer interface, an API or another collection method. Matching model names do not establish matching search behavior, settings or personalization.

Review a fixed set of questions during the trial. Include your main service, a comparison, a location-specific need and a question where you already know the business facts. Manually check flagged mentions for unrelated businesses with the same name. Inspect negative mentions too.

Repeat observations before treating a change as a trend. If your brand appears in 6 of 20 answers, that is a 30% mention rate for those observations. It is not 30% of all AI searches. Two more mentions change that small sample by ten percentage points.

Keep branded and unbranded questions separate. Asking whether your named business is good tests something different from asking which provider to hire. The AI visibility scorecard guide explains how to report these signals without collapsing everything into one number.

When are GEO tools worth the money?

Pay for monitoring when repeated collection is taking meaningful time, you have a defined set of buyer questions, and someone owns the resulting fixes. Start smaller when the business still lacks clear service pages, accurate profiles or useful proof.

Here is a budgeting example, not a measured customer result: if automation saves five hours a month valued at $50 an hour, it creates $250 of potential time value. A $200 subscription leaves $50 before setup and review costs. It has not yet demonstrated revenue impact.

For a local business, ask the vendor to demonstrate the services and towns you actually sell in. A national brand comparison may tell a Milton plumber very little about emergency calls in Milton. Combine AI observations with Google Business Profile performance, local search checks and actual enquiries.

If you only need an initial diagnosis, use a free AI visibility check or follow the manual tracking guide first. Build a repeatable record before deciding what to automate.

Turn the findings into work that matters

Suppose several checked answers recommend a competitor because a cited comparison describes its emergency availability. First verify the comparison and your own hours. If your service page omits genuine emergency coverage, clarify it. If an independent source contains an error about your business, request a correction with evidence.

These are different jobs. Website changes improve information you control. Profile updates correct information you manage on other platforms. Independent coverage may require outreach and an editorial decision by someone else. Buying a tracker does not buy that coverage.

Record the page changed, the date and the reason. Recheck the same questions and inspect sources over time. A later increase is useful evidence to investigate, but model changes and other activity mean it is not proof that your edit caused the increase.

Do GEO tools make Google or ChatGPT recommend you?

No subscription guarantees a recommendation. Monitoring can reveal missed questions and cited sources; your team still needs to decide which changes are useful and carry them out.

Google says its existing SEO practices apply to AI Overviews and AI Mode. Pages must be indexed and eligible to appear with a snippet, and there is no additional technical requirement or special schema needed for those AI features. Eligibility still does not guarantee inclusion. This guidance is specific to Google.

Can Google search volume tell me AI prompt demand?

Google keyword volume is context for search demand. It does not directly count how often people ask ChatGPT a particular question. If a vendor offers prompt volume, ask whether it is observed, modeled from search data or expressed as a relative score.

Avoid multiplying a sampled AI mention rate by Google keyword volume and calling the remainder lost customers. The datasets describe different behavior, related queries can overlap, and an answer appearance is not a visit or sale.

Is AI Overview tracking the same as ChatGPT tracking?

No. AI Overview tracking observes a feature within Google Search results. ChatGPT tracking observes responses to prompts in a separate product. Report them separately and ask what counts as an observation when Google returns no AI Overview.

Likewise, an API response and a logged-in consumer conversation can have different context and tools. A tracker is a repeatable sample under its collection conditions, not a record of every customer experience.

A seven-day trial you can compare fairly

Use 12 fixed prompts: four category questions, four purchase comparisons, two location-specific questions and two questions about your named business. Run them on the same two engines and location for seven days where each trial permits it. That creates 168 intended observations per tool. Log failures separately.

Before the first run, write down what counts as a correct brand mention, a recommendation and a citation. Record your domain, common name variants and unrelated businesses with similar names. Inspect a fixed sample of answers from each tool, not just its best-looking results.

For every inspected answer, keep the prompt, timestamp, engine, settings, text, cited URLs and your manual classification. Count false brand matches and missed matches. Compare collection completeness and export usefulness. Differences between independently generated answers do not, by themselves, prove one tracker is wrong.

End with a buying decision: did the trial identify a useful action, can you verify its evidence, and can you afford the same workload for a month? If a trial excludes exports, ask for a demonstration using non-sensitive demo data.

Download the GEO tool evaluation sheet to record two vendor quotes, coverage limits and trial findings side by side. The CSV opens in Excel or Google Sheets. Blank cells are for your observations, not preset product scores.

Choose your first trial

Write down ten questions customers ask before buying. Choose the platforms and locations that matter, then send the same list to two shortlisted vendors. Request a sample export and a total quote for that exact workload.

Pick the tool whose evidence you can inspect and whose findings your team can act on. If neither trial changes what you would fix next, spend the budget on that work first.