Best GEO Tools 2026: 12 Generative Engine Optimization Platforms Compared

TL;DR

The category consolidated in 2026, and the old way of comparing these tools no longer works. Two years ago you could sort them cleanly into monitoring, auditing, and content tools. Today most serious platforms do all three: they track your visibility across engines, audit your pages and crawler access, recommend fixes, and increasingly execute them. Writesonic, Semrush, Scrunch, AthenaHQ, Brandlight, and Otterly.AI all now span measurement and optimization. Any comparison that still sorts vendors into single-capability buckets is describing 2024.

So the useful comparison axes are different now. Engine and language coverage, whether the tool serves your market. Depth of prompt data, since some platforms run hundreds of prompts daily against proprietary datasets of real user queries and others check the prompts you type in. Whether it executes changes or only recommends them. Whether it audits crawler access technically or advises on it in a help article. And whether you can buy it without a sales call, which for several of these you cannot.

Where the real differences remain: prompt-data scale (Evertune's 150M-prompt panel and Ahrefs' 476M monthly prompts are a different kind of asset from a tool that runs your prompt list), execution versus recommendation, non-English and regional coverage, and price, which spans free to roughly $300 per month self-serve to undisclosed enterprise.

Disclosure: Echloe publishes this article and builds one of the tools listed. It is the smallest and narrowest product here, and several entries below beat it outright on capabilities we do not have. Every capability claim in this article is drawn from vendor documentation as of August 2026 and each was checked against the vendor's own site; verify against current documentation before buying, because this category changes monthly.

What Counts as a GEO Tool in 2026?

A GEO tool is any software that measures or improves your visibility inside AI-generated answers rather than inside ranked search results. The category is also sold as answer engine optimization (AEO) software, AI visibility tooling, AI search monitoring, and generative engine optimization software. These labels describe overlapping products and the naming has not settled; treat the label as marketing and the capability list as the real specification.

The category exists because traditional SEO instruments cannot see the surface. Google Search Console reports impressions, clicks, and average position for Google's own results. It does not report whether ChatGPT recommended you, whether Perplexity cited you, or whether an AI Overview named a competitor instead. That measurement gap is the entire reason this software category appeared, and it explains why almost every product in it started as a monitoring tool.

Almost none of them stayed there. The 2024 version of this article would have sorted vendors into monitoring, auditing, and content tools, and that taxonomy is now wrong. Monitoring-only products discovered that a trend line their customers could not act on churned, so they added recommendations, then technical audits, then execution. Writesonic went the other direction, starting as an AI writing tool and adding daily multi-engine tracking and robots.txt auditing. The result is convergence: most platforms here now claim the full loop of track, prioritize, act, and measure.

That convergence changes what you should compare. Five axes still separate these products meaningfully.

Prompt-data scale and provenance. Some platforms check the prompts you enter. Others run against proprietary datasets of real user queries: Evertune cites a panel of over 150 million prompts, Ahrefs advertises 476 million monthly prompts described as search-backed rather than synthetic, Writesonic claims 2 billion AI conversations across 50-plus markets. Knowing what people actually ask is a different asset from measuring the questions you guessed.

Execution versus recommendation. A recommendation is not a change. Some tools generate and publish content, some rewrite pages, some serve agent-specific versions of your site, and some hand you a prioritized list and expect your team to act. This is the boundary where buyer disappointment concentrates, and it is worth pinning down explicitly during evaluation.

Engine, language, and region coverage. Engine counts run from three to eleven. Language and market coverage varies far more, and a US-English-only report is not a small approximation for a company selling in Germany or Japan.

Technical audit depth. Everyone recommends fixing crawler access. Fewer actually detect it from real bot traffic. Reading your logs for GPTBot 404s is a different capability from a help article telling you to check robots.txt.

How you buy it. Free, self-serve, or demo-gated. For several products here the pricing page exists and the numbers do not, which is itself a signal about who the product is for.

How We Evaluated These Tools

Four notes on method, because comparison articles in this category are usually written to make one product win, and this one is published by a vendor.

Every claim was checked against the vendor's own current site, in August 2026. Not against last year's reviews or our impressions of where these products used to sit. That check matters because the received wisdom in this category is a year stale: tools widely described as monitoring-only have shipped audit and execution features, and repeating the old taxonomy would have made our own product look more differentiated than it is.

Prices are given where the vendor publishes them and marked undisclosed where they do not. Several products in this category publish no figures at all and gate everything behind a demo. Where a number exists it is quoted with its date, since repricing in this category is frequent.

Capability claims are the vendor's, not our test results. We have not run all twelve products through a controlled evaluation, and any article claiming otherwise about twelve platforms is probably not telling the truth. What follows describes what each vendor documents it does, which is the right input to a shortlist and no substitute for a trial.

Where we could not verify something, it says so. That is more useful than a confident guess, and it tells you which questions to ask on the call.

The 12 Best GEO Tools in 2026, Compared

1. Profound

Profound is the category's enterprise reference product and now spans considerably more than the analytics it became known for. Its documented modules include Answer Engine Insights for brand representation across engines, Prompt Volumes for what people actually ask AI, Agent Analytics for how AI crawlers interpret and visit your site, Aim for prioritized weekly recommendations, and Agents, described as autonomous workers with example workflows such as an AEO-optimized FAQ generator. Engine coverage is the broadest here: Perplexity, ChatGPT, Claude, Gemini, Grok, Copilot, DeepSeek, and Google AI Overviews. Its published research is the most-cited work in the field, including an analysis of 11.84 billion citations across eight models finding roughly 57% were brand citations and 43% came from earned media and social sources, and a study of over 2 million AI conversations finding that only about 2.5% of post-mention site visits carry any trackable AI referral parameter.

Best for: Large brands with budget and a dedicated owner for the answer surface. If you need segmented, defensible reporting on AI visibility, this is the depth benchmark.

What to check: Pricing is undisclosed and the primary paths are demo and contact sales, though a free AEO report and agent trials exist. The autonomous-agent framing spans a wide range across this category, so establish exactly which workflows run without your team in the loop.

2. Writesonic

Writesonic repositioned from AI writing tool to a full AI search platform and is now one of the most complete products in this comparison. Its own framing is pointed at the rest of the category: "SEO tools ignore AI, AI tools ignore SEO, we do both," and at dashboards specifically, "insight is the easy part." Documented capabilities include daily prompt runs across 10 platforms reporting visibility, citations, and sentiment; a research dataset of over 2 billion AI conversations across 10 platforms and 50-plus markets in 50-plus languages, refreshed weekly; an Action Center that narrows opportunities across seven categories to roughly 5 to 10 weekly actions; technical auditing of robots.txt, schema, indexing, and broken pages from every AI bot visit, catching GPTBot, ClaudeBot, and PerplexityBot 404s and 500s with one-click fixes; a page-rewriting agent that adds FAQ blocks, comparison tables, and self-contained passages; off-site work on the basis that 85% of AI citations come from sites you do not own; and measurement of every fix at day 14 and day 28.

Best for: Teams that want the whole loop from one vendor at a self-serve price, particularly where non-English markets matter, since its 50-plus language coverage is the broadest documented in this list.

What to check: A claim set this broad warrants a trial that exercises the specific pieces you need rather than the demo path. Generated content still needs editorial and sourcing review, because volume alone does not earn citations. Pricing is not published on the main page, though a 7-day no-card trial is.

If you last looked at Writesonic as an AI writing tool, that description is now two product generations out of date.

3. AthenaHQ

AthenaHQ has the broadest documented capability set available at a published self-serve price, spanning measurement, diagnosis, and execution. It positions itself as "see, act, and win," and documents monitoring with sentiment and share of voice, prompt volume, citation source analysis, hallucination and brand-integrity checks, content gap analysis, and on the execution side content agents, a self-learning content optimization agent, a citation engine, and a Shopify integration that publishes GEO-ready blog content with revenue attribution. Engines: ChatGPT, Perplexity, Gemini, AI Overviews, AI Mode, Claude, Copilot, and Grok. Pricing is a free Essential tier with 300 credits and a Starter tier at 295 USD per month for 3,600 credits, where one credit equals one AI response, with enterprise by quote.

Best for: Teams that want measurement through execution from one vendor without a sales call, and that can reason about credit-based pricing.

What to check: Credit pricing makes your cost a function of prompt volume, so model actual usage before committing. Its analysis is content and prompt level rather than a full technical crawl, with robots.txt and schema appearing as FAQ guidance rather than automated detection.

4. Otterly.AI

Otterly.AI was one of the first AI search monitoring tools to reach general availability and is now the cheapest published entry point that includes a content audit. It documents four capabilities: prompt research, search analytics covering mentions, citations, position, and competitive share, a content audit with crawlability checks and citation-potential scoring, and GEO optimization recommendations. Engines covered are ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and Copilot, with Claude available via API. Pricing starts at roughly 29 USD per month with a free trial requiring no card.

Best for: Small teams and consultants who want measurement plus a citability audit at the lowest published price here.

What to check: Its audit is scoped to crawlability and citation potential, so confirm it covers the technical checks you care about. Analytical depth is narrower than the enterprise platforms.

Its "know why AI skips your content" audit is the clearest single example of the convergence described above: diagnosis is no longer what you buy a separate tool for.

5. Ahrefs Brand Radar

Brand Radar's advantage is prompt-data scale: it advertises over 476 million monthly prompts described as search-backed rather than synthetic, with per-engine volumes published. Those break down as AI Overviews at roughly 325 million, then Gemini, ChatGPT, Copilot, Perplexity, AI Mode, and Grok. It tracks brand visibility in AI answers, benchmarks competitors, surfaces citations worth targeting, and extends past AI engines into YouTube, TikTok, and Reddit. Seeing answer-surface presence and traditional organic performance for the same page is a correlation most teams cannot get anywhere else.

Best for: Teams that need to reason about how rankings and citations relate, and who value knowing what people actually prompt rather than only how their own prompt list performs.

What to check: This is a paid add-on with its own tiers rather than an included feature, advertised from roughly 318 GBP per month for selected platforms and 560 GBP for all platforms as of August 2026, on top of an Ahrefs plan. A free AI Visibility Checker gives a preview. Treat it as a separate purchase, not a tab you already own.

6. Scrunch

Scrunch is the only tool here doing something structurally different: it serves a parallel, lightweight, machine-readable version of your site to AI agents while leaving your human-facing design untouched. Its Agent Experience Platform is delivery rather than advice, a genuinely distinct position in this list. It also documents monitoring across engines with prompt-level analytics and persona and geo benchmarking, a real-time AI bot traffic feed, crawl-error detection that spots when AI bots cannot crawl your site, and content diagnostics covering gaps in entities, claims, pricing, and product specs. Enterprise signals include SOC 2 Type II, RBAC, and multi-brand deployment. A 7-day trial and a public pricing page exist; figures are not on the main site.

Best for: Organizations that accept that AI agents are becoming a primary consumer of their site and want to serve them deliberately rather than hope a marketing site parses well.

What to check: Serving a separate version of your site to agents deserves scrutiny about cloaking risk and content parity, so ask how the agent-facing copy stays in sync and how search engines treat it. Its crawl-health and bot-feed instrumentation is the strongest technical audit story in this list.

7. Evertune

Evertune's differentiator is statistical method: it samples each prompt 100 times across every model, on the argument that model outputs are probabilistic and a single check is noise. It documents benchmarking against every competitor in a category across 11 models, prompt strategy drawn from a proprietary panel of over 150 million user prompts, and a four-stage Explore, Measure, Act, Advertise workflow. The advertising stage is unique here: it claims to be the only GEO platform integrated with programmatic partners and OpenAI, running ads driven by visibility data. It cites over 700 advertisers and agencies.

Best for: Teams that want defensible measurement rather than single-sample snapshots, and brands that want to buy AI-surface ads against the same visibility data.

What to check: Its site emphasizes visibility, rank, and topic breakdowns rather than explicitly claiming to measure how models characterize a brand. If brand perception rather than presence is your question, confirm that directly, because presence-oriented metrics score "consistently described as the budget option" as a win. Sales-led with no published pricing.

Evertune is sometimes described as a brand-perception tool. Its own materials do not document that, so treat perception measurement as a question to ask rather than a feature to assume.

8. Brandlight

Brandlight is an enterprise platform whose distinguishing feature is as much service as software: white-glove support and hands-on strategist enablement alongside the product. Documented modules span visibility and insights, technical health, content, partnerships, agentic commerce, ads, and attribution marked coming soon. Measurement works by asking major AI engines thousands of questions from different viewpoints, reporting sentiment, mention frequency, a source impact score, a direct bias score, competitor placements, publisher influence, and crawler activity. Recommendations include high-priority flags such as unblocking restricted crawler domains and guidance on where to invest with publishers. Compliance covers SOC 2 Type II and GDPR with multi-region and multilingual deployment.

Best for: Fortune 500 companies and global agencies that want a platform plus people, and that need portfolio views across many brands.

What to check: Execution appears to stay with your teams, supported by their experts, so establish that boundary explicitly. Fully demo-gated with no trial and no published pricing, which makes evaluation slower than any self-serve option here.

9. Semrush AIO

Semrush's AI visibility product, branded AI Optimization or AIO, is a module in Semrush for Enterprise rather than a feature of the standard self-serve subscription. That distinction is easy to miss and changes the buying decision. It documents brand visibility tracking across AI models, tracking of every brand mention, source, and competitor, content audits and optimization, market and competitive benchmarking, query fan-out analysis that reveals the searches AI models run, and AI-search forecasting that predicts the impact of filling prompt gaps. It sits alongside five other enterprise modules, with a co-branded Adobe Brand Visibility extension.

Best for: Enterprises already standardized on Semrush Enterprise, where adding a module beats adding a vendor.

What to check: Because this is the enterprise tier, the assumption that you can switch it on inside an existing self-serve Semrush plan may not hold. Confirm what your current subscription actually includes. Pricing is undisclosed and demo-gated.

This is commonly described as a low-friction add-on for anyone already paying for Semrush. That holds only at the enterprise tier, which matters a great deal if you are on a standard plan.

10. Peec AI

Peec AI provides prompt-level visibility tracking with tag-based prompt organization, country-level breakdowns, and unusually concrete off-site recommendations. It documents visibility, position, and sentiment measurement, competitive benchmarking, and cited-source identification, with recommendations such as creating a G2 profile, engaging in a specific subreddit, or investing in digital PR. Named engines are ChatGPT, Perplexity, and Gemini, with a dedicated Google AI Mode tracker. Reporting includes CSV export, a Looker Studio connector, an API, and an MCP server.

Best for: Teams that want country-level tracking plus off-site action recommendations, and that value integration into an existing reporting stack.

What to check: We could not verify specific language coverage from its site, which documents tracking across all countries without publishing a language list, so ask directly if you sell in a non-English market. It documents no on-page or technical crawling. Pricing lives on a separate page and is not stated on the main site.

Peec AI is often described as the European-language specialist. That is inference from where the company is based rather than anything it publishes, so ask directly rather than assuming it.

11. HubSpot AI Search Grader

HubSpot's AI Search Grader is a free one-time diagnostic returning a composite score out of 100 across five weighted dimensions in under two minutes, with no account required. The dimensions are sentiment results at 40 points, presence quality at 20, brand recognition at 20, share of voice at 10, and market competition at 10, cross-validated across three engines. Sentiment carries the heaviest weight specifically because it reflects how AI characterizes a brand rather than merely recognizing it, which makes this free tool the most direct answer to the characterization question anywhere in this list.

Best for: Anyone who has not measured anything. Zero cost, two minutes, and a genuinely multi-dimensional baseline rather than a single number.

What to check: One-off snapshot with no tracking or trend. HubSpot sells a paid AEO product at 50 USD per month for ongoing week-over-week tracking, competitor comparison, and prioritized recommendations, which does not require a HubSpot subscription and is the lowest-priced ongoing option we found in this category. HubSpot's own caveat is that the output is AI-generated and not human-reviewed.

12. Echloe

Echloe is the narrowest product in this comparison and the entry you should discount most heavily, since we publish the article. It scores a URL across six categories spanning the search and answer surfaces, turns findings into a prioritized action plan, and on paid tiers executes content changes. The free audit at echloe.io needs no account, which is genuinely uncommon here. It also tracks citation rate across engines and logs AI crawler visits, which together separate an access problem from an authority problem.

Best for: Teams that want a free technical audit and fix plan with no signup, as a first diagnostic before committing to any vendor above.

What it does not do, measured against the tools above: No prompt-volume dataset, so nothing comparable to Ahrefs' 476 million prompts, Evertune's 150 million panel, or Writesonic's 2 billion conversations. No repeated sampling for statistical confidence, which Evertune has and we do not. No competitive share-of-voice depth approaching Profound's. No brand sentiment scoring, where HubSpot's free grader is more informative than we are. No agent-facing delivery like Scrunch's. No Chinese engine coverage. If you need any of those, one of the eleven tools above is the better purchase.

What Does a GEO Audit Tool Actually Check?

A GEO audit reports the structural reasons an AI engine would or would not cite a page. This used to be a separate product category. In 2026 it is a feature most platforms in this list claim in some form, so the useful question is not whether a tool audits but how deeply. Being concrete about the checks makes that question answerable.

Crawler access. AI engines use their own user agents, separate from Googlebot: GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, Bytespider, and others. A robots.txt tuned for traditional SEO frequently blocks some of them, sometimes through a blanket rule nobody revisited. An audit checks each agent individually. This is the highest-severity finding a GEO audit can return, because nothing else you do matters if the model cannot fetch the page.

Answer-block structure. Whether the page contains self-contained passages that fully answer one question without surrounding context. A page can be comprehensive and still be uncitable if every answer is distributed across four paragraphs and depends on what came before.

Schema and structured data. Whether Organization, Article, FAQPage, and HowTo markup are present, valid, and internally consistent. Schema gives a machine explicit answer boundaries instead of inferred ones.

Entity clarity. Whether the site states unambiguously who publishes it, connects that identity across the web through consistent naming and sameAs relationships, and makes author identity resolvable. Models are conservative about attributing to entities they cannot pin down.

Freshness and date signals. Whether publication and modification dates are present, machine-readable, and honest. Generative systems weight recency heavily and cannot see an update you did not declare.

Factual density and sourcing. Whether the page contains specific numbers, named sources, and dates rather than generalities. Models cite specifics far more readily than they cite claims that could have come from anywhere.

Depth varies enormously among the tools that claim to do this, across three tiers worth distinguishing. At the shallow end, an audit means guidance in a help article plus a recommendation feed. In the middle, page-level scoring of crawlability and citation potential, which is what Otterly.AI documents. At the deep end, detection from real traffic: Writesonic documents catching GPTBot, ClaudeBot, and PerplexityBot 404s and 500s from actual bot visits with one-click fixes, and Scrunch documents crawl-error detection alongside a live bot feed. Ask a vendor which of the three they mean, because only the third tells you about a request that actually failed.

The reason to check this early rather than late is cost asymmetry. Blocked crawler access is a one-line fix that unblocks everything after it. Thin content is a quarter of work. A zero citation rate is consistent with both, and knowing which one you have decides whether your next month is an afternoon or a roadmap.

Free vs Paid: What You Actually Get Without a Budget

You can assemble a functional GEO program at zero cost, and doing so before you buy anything is straightforward.

Start with a free grader for a baseline. Add a free page audit to get a fix list. Then instrument two things yourself. First, server-side AI crawler logging, since your own logs already record every GPTBot and ClaudeBot visit and only need to be read. Second, manual citation spot-checks: write down 20 questions a buyer would genuinely ask, run them against ChatGPT, Perplexity, and Google AI Overviews once a month, and record whether you appear. Twenty questions across three engines is under an hour of work and produces the same signal a monitoring subscription sells, at lower resolution.

What money actually buys is frequency, breadth, and history. A paid platform runs hundreds of prompts daily rather than twenty monthly, covers more engines and regions, retains history you did not think to record, and stops the whole program from depending on one person remembering to do it. Those are real benefits. They are also benefits you can only evaluate properly once you know whether you have a problem, which the free path tells you within a day.

The sequencing error worth naming is buying before you know which problem you have. Checking whether robots.txt blocks GPTBot takes a minute, and several of the paid platforms here would catch it for you as well, but if that was the entire problem you have saved a subscription you did not need. This is a narrower claim than the usual version of it. A monitoring platform will not leave you watching an unexplained flat line any more, because most of them now tell you why.

What GEO Software Cannot Do Yet

Four limits apply across every tool in this comparison, including ours.

Attribution is genuinely unsolved. When a buyer asks ChatGPT for recommendations, reads your name, and later arrives at your site by typing the domain directly, that visit records as direct traffic. No tool in this category can reliably connect the AI-assisted research to the eventual conversion. Referral data from AI engines exists and is worth tracking, but it captures only the fraction of users who click through, and that fraction is small.

Engine behavior is unstable, so your metrics move for reasons you did not cause. Model updates change citation patterns overnight. A visibility drop can mean your content got worse, or it can mean the engine changed how it selects sources. Distinguishing the two requires baselines across multiple engines, and even then it is a judgment call.

Chinese engines are largely uncovered. Doubao, Wenxin Yiyan, and Kimi are absent from essentially every Western tool in this comparison. Teams selling into China are currently unmeasured there.

No tool can make a model cite you. Software can remove the barriers, structure the page, and show you the gap. Selection remains the model's decision, and it is influenced by authority signals accumulated over time and across the web. Anyone promising guaranteed citations is selling something that does not exist.

How to Choose a GEO Tool for Your Situation

Because most of these products now do most things, capability checklists have stopped discriminating between them. Coverage, data provenance, price, and how you buy are what actually narrow the field.

You have measured nothing. Start free. HubSpot's grader returns a five-dimension baseline in two minutes without an account, and free page audits including ours need no signup either. That path identifies your problem within a day, and if it turns out to be a blocked crawler you may be finished before spending anything.

You need coverage outside US English. This requirement narrows the field faster than any other. Writesonic documents 50-plus markets and 50-plus languages, Brandlight documents multi-region multilingual deployment, and Peec AI documents country-level tracking without publishing a language list. Get the list in writing before you buy, because a US-English report is not an approximation of a German one.

You want one vendor to close the loop. Writesonic and AthenaHQ document measurement through execution at self-serve prices, and AthenaHQ publishes its figures. Establish exactly which steps run without your team in the loop, since "agent" covers a wide range across this category.

You want to know what people actually ask, not only how your own prompt list performs. That is a data asset rather than a feature, and it is where Ahrefs Brand Radar at 476 million monthly prompts, Evertune's 150 million prompt panel, and Writesonic's 2 billion conversations separate from tools that run the prompts you type in.

You are buying for a large brand with procurement and reporting requirements. Profound and Brandlight are the depth benchmarks, and Brandlight bundles strategists rather than expecting your team to act alone. Both are demo-gated with undisclosed pricing, so open the conversation earlier than feels necessary.

You already pay for Semrush or Ahrefs. Check what your plan actually includes before assuming the AI module is in it. Semrush's AI Optimization module sits inside Semrush for Enterprise rather than the standard self-serve plans, and Ahrefs Brand Radar is a paid add-on advertised from roughly 318 GBP per month on top of your existing subscription. Both are reasonable purchases. Neither is a tab you already own.

Your budget is under 50 USD a month. Otterly.AI from roughly 29 USD and HubSpot's paid AEO product at 50 USD are the two ongoing options we found at that level, and Otterly.AI includes a content audit at that price.

Your market is China. No tool in this comparison covers it. Instrument manually against Doubao and Wenxin Yiyan, because a Western monitoring dashboard reporting healthy visibility is measuring an audience you are not selling to.

If you want a diagnostic baseline before committing to any vendor, the free audit at echloe.io checks crawler access, page structure, and schema against a URL and returns a prioritized fix list without an account. It is a starting point rather than a substitute for the platforms above.

FAQ

What are the best GEO tools in 2026?

There is no single best one, and an honest answer names your constraint before it names a tool. Profound and Brandlight are the enterprise depth benchmarks, both demo-gated with undisclosed pricing. Writesonic and AthenaHQ document the most complete self-serve loop from measurement through execution, with AthenaHQ publishing prices from 295 USD per month plus a free tier. Otterly.AI is the cheapest paid entry at roughly 29 USD per month and includes a content audit. Ahrefs Brand Radar and Evertune lead on prompt-data scale and statistical method. HubSpot's AI Search Grader is the best free starting point. Echloe, which publishes this article, is the narrowest of the twelve and worth using only for the free no-account technical audit.

What is a GEO audit tool and how is it different from a monitoring platform?

The distinction has largely collapsed. An audit reports the structural reasons a page would not be cited: blocked AI crawlers, invalid schema, answer blocks that are not self-contained, unresolvable entity identity, missing freshness signals, thin sourcing. Monitoring reports whether you appear in AI answers. Most platforms in this comparison now do both, so the question that still discriminates is audit depth: whether a tool detects crawler failures from real bot traffic, which Writesonic and Scrunch document, scores pages for citation potential, which Otterly.AI documents, or publishes guidance and leaves the checking to you.

Is there free generative engine optimization software?

Yes, and it is sufficient to determine whether you have a problem. HubSpot's AI Search Grader gives a free brand snapshot, and several vendors including Echloe offer free page audits without an account. AthenaHQ has a free tier with 300 credits, and Ahrefs publishes a free AI Visibility Checker preview. You can also instrument two things yourself at no cost: read your own server logs for GPTBot, ClaudeBot, and PerplexityBot visits, and run 20 buyer questions against ChatGPT, Perplexity, and Google AI Overviews once a month by hand. Paid tools buy frequency, engine breadth, and retained history rather than a fundamentally different signal.

Do I need a GEO tool if I already use Semrush or Ahrefs?

Check what your plan includes first, because neither company's AI visibility product ships inside a standard subscription. Semrush's AI Optimization module is part of Semrush for Enterprise. Ahrefs Brand Radar is a paid add-on advertised from roughly 318 GBP per month for selected platforms and 560 GBP for all of them, on top of an Ahrefs plan. Both are credible, and Brand Radar's prompt-volume data plus same-page organic comparison is genuinely hard to get anywhere else. Price them as new purchases rather than as modules you can simply switch on, which is how they are usually described and is not accurate for either one.

What is the difference between GEO tools and AEO tools?

Nothing meaningful, and vendors increasingly use both words in one breath: AthenaHQ calls itself a command center for AEO and GEO, and Writesonic sells GEO, AEO, and AI visibility as one platform. AEO (answer engine optimization) is the older term, from the featured-snippet and voice-assistant era; GEO (generative engine optimization) was coined for large language models. Ignore the label and compare specifics: which engines are covered, which languages and countries, where the prompt data comes from, whether the tool executes changes or only recommends them, and whether you can buy it without a sales call.

Which GEO tools track Chinese AI engines like Doubao and Wenxin Yiyan?

Effectively none of the Western tools in this comparison, including ours. Coverage of Doubao, Wenxin Yiyan, and Kimi is largely unimplemented across the category. If China is a target market, instrument it manually with a fixed prompt set until coverage exists, and treat a Western dashboard reporting healthy visibility as measuring a different audience than the one you are selling to.

How long before a GEO tool shows results?

Crawler-access fixes show up in your own logs within days, because they remove a hard block. Structural page changes such as schema and answer-block formatting typically take two to six weeks to influence citations, bounded by how often each engine re-crawls and refreshes. Authority-driven gains from brand mentions across platforms take months. If a page shows heavy AI crawler traffic and still earns no citations after a month of structural fixes, the constraint is authority or content depth rather than structure, and the response is different work.