Best Brand Monitoring Products in 2026 as suggested by SaaSHub Experts

Strong, credible GEO platform with a real dashboard screenshot, named customers, Gartner recognition and transparent tiered pricing.

Suggestion: Fill the empty feature panel beside the accordion with a screenshot of each module so the section stops showing a blank box.

Product screenshots, named customer stories and concrete integrations support a convincing research-to-monitoring workflow.

Suggestion: Explain which three engines each standard plan includes and the credit cost of expanding coverage beside the plan prices.

Strong market validation with Gartner recognition, named enterprise testimonials, and comprehensive prompt research features, though lower-page feature graphics failed to render.

Suggestion: Clarify on the pricing cards whether users can switch which 3 of the 7 AI engines are included in the Lite and Standard plans.

The Adidas dashboard, named customer stories and Gartner recognition support a broad research-to-optimization product better than most AI monitoring pitches.

Suggestion: Explain engine selection and credit consumption beside each price so buyers can estimate the real cost of multi-engine monitoring.

Polished AI search monitoring with real dashboard, 40,000 user claim, Gartner recognition and clear tiered pricing.

Suggestion: Replace the generic visibility claims with one named case study showing prompts, dates and measured traffic change.

Clear positioning as the SEMrush of AI search, backed by a real dashboard, named customers and a Gartner Cool Vendor badge.

Suggestion: Add a short product video or interactive demo above the fold so visitors see engine coverage without booking a call.

Gartner Cool Vendor badge, 40k users, named case studies and detailed pricing make this the category leader.

Suggestion: Surface the full dashboard in an interactive demo on the homepage instead of a single static Adidas screenshot.

The strongest trust signals in this set - Gartner, G2 badges, named customers and published GEO experiments - behind a sharp, clear homepage.

Suggestion: Show a screenshot inside the prompt-research view so buyers see raw data, not only brand reports.

Polished, mature platform with Gartner recognition, named customers, published GEO experiments and a transparent credit-based pricing ladder.

Suggestion: Clarify on the pricing page why every paid plan only unlocks 3 of the 7 advertised AI engines.

Strongest evidence pack of the group: named Gartner recognition, real customer logos, dated dashboards and named user quotes.

Suggestion: The 'Lite' plan covers only 3 of 7 engines; make the included engines a clear pick-list per tier so buyers know exactly what they get for $29.

The interactive sample dashboard with five per-engine metrics is one of the most convincing product demos in this space.

Suggestion: Add named customer logos or a case study near the demo, since social proof is absent from the visible page.

The detailed sample dashboard defines five metrics clearly and connects visibility changes to specific content actions.

Suggestion: Place a real dated capture beside the sample dashboard, linking each displayed metric to its underlying answers.

The interactive sample dashboard for Toyota right on the homepage is outstanding evidence of a well-crafted, deeply thought-out analytics platform.

Suggestion: Add company background, team details, or recognizable customer logos to the homepage to build trust for plans starting at $89 per month.

The wired sample dashboard exposes metrics, citations and recommendations in unusual depth, while honestly labeling every figure as sample data.

Suggestion: Add one independently attributed customer result with dates and prompt counts to complement the polished Toyota sample dashboard.

Live sample dashboard shows detailed visibility, prominence, citations and competitor metrics across six AI engines.

Suggestion: Label the Toyota dashboard metrics more clearly as sample data wherever headline percentages appear.

Live demo dashboard with clearly labeled sample data makes six-engine AI visibility tangible within seconds.

Suggestion: State the company behind aSERP and its location on the homepage or About page to strengthen trust.

A fully wired live demo with sample Toyota data and a clear what we do differently section is outstanding evidence.

Suggestion: Add named customer logos or a case study to match the strength of the product demo with social proof.

The live sample dashboard with five per-engine metrics is the strongest product evidence here, and pricing is clear and detailed.

Suggestion: Add two or three named customer outcomes beside the sample dashboard to match its product proof.

The wired sample dashboard with six engines, five defined metrics and original research is the strongest product evidence of any AI-visibility tool here.

Suggestion: Name the company or team behind aSERP somewhere on the site; buyers only see a logo and generic contact routes.

Excellent live demo with real-looking Toyota dashboard data that proves the product works as described.

Suggestion: The pricing starts at $89/mo but the home page pushes the free audit, then plan names like 'Starter' feel generic; rename tiers around tracked-prompt counts so buyers can self-select faster.

Running since 2017 with 430,000 daily alerts and a real free tier makes it a durable, trustworthy choice.

Suggestion: Add an example of an AI filter prompt and its matched alert on the homepage to show the paid upgrade value.

Clear platform coverage, filtering controls and delivery integrations make this a focused monitoring offer with a credible paid upgrade path.

Suggestion: State the free tier's personal-use restriction and two-hour alert delay beside the homepage signup button.

A proven, straightforward utility running since 2017 with a generous free tier and clear paid upgrades for AI filtering and webhooks.

Suggestion: Show a real screenshot of the advanced filtering and AI prompt setup interface so prospective paid users can see how rules are configured.

Nine years of operation, detailed plan limits and 430,000 daily alerts make this simple three-platform monitor feel dependable.

Suggestion: Show a real alert-history dashboard with filtering and delivery controls so visitors can inspect the workflow before registering.

Clear since-2017 monitoring for Reddit, Hacker News and Lobsters, with concrete alert volume and transparent tier limits.

Suggestion: Add named customer testimonials beside the company logos to make the 430,000 daily alerts claim verifiable.

Nine years of operation, a free forever tier and 430,000 daily alerts make it a dependable low-cost brand monitor.

Suggestion: Modernize the homepage visuals, starting with a smaller logo and a tighter hero section.

Nine year track record, 430k daily alerts and a real free tier make this a dependable mention monitor.

Suggestion: Add Twitter/X and news sources to the monitored platforms so brand teams do not need a second tool.

A dependable nine-year-old alerting service with transparent per-tier pricing, though its design and differentiation now look dated.

Suggestion: Refresh the homepage hero with a real screenshot of the alert feed and AI filtering settings in use.

Nine years running with a genuinely useful free tier, clear pricing and real usage numbers make this the most proven mention-alerting product on show.

Suggestion: Refresh the dated clipart logo and hero, which undersell the AI filtering and API features buried further down the page.

Has earned its trust the long way: running since 2017, 430,000 alerts a day, real customer logos and a working free tier.

Suggestion: The F5Bot mascot and orange theme are friendly but the design feels dated; a cleaner hero would suit a 2026 product still aimed at PR and SEO pros.

Clear worked example shows all fifty answers and a fact-accuracy check, though there is no visible company or social proof.

Suggestion: Make the pricing link show plans publicly instead of an account signup form.

The fifty-answer walkthrough explains scoring unusually well, but the captured pricing destination asks for an account rather than showing plan details.

Suggestion: Make the pricing link open a public plan comparison with weekly allowances before asking visitors to create an account.

Exceptional clarity and step-by-step product walkthrough on the homepage, though clicking the pricing link redirects straight to an account signup wall.

Suggestion: Make the Pricing navigation link display actual plan tiers and features instead of forcing visitors onto the account creation screen.

The worked fifty-answer example explains exactly how the score is built, making an otherwise abstract AI visibility service unusually inspectable.

Suggestion: Show full plan limits and prices on the pricing view so visitors can compare weekly monitoring before creating an account.

Detailed example rating explains scoring across fifty answers, sources and factual accuracy in unusually transparent terms.

Suggestion: Restore a readable pricing table on the pricing page listing what each plan adds every Monday.

The free one-minute score with a fully worked example report explains the method better than most paid pages.

Suggestion: Add documentation explaining exactly how the 0-100 score is calculated, since docs are not linked.

The step by step walkthrough of exactly how the 51 of 100 score is computed is the most honest page in this set.

Suggestion: Add documentation and a short case study showing a real score improving after fixes were applied.

An unusually honest rating tool: it shows all fifty answers, cites its sources and explains exactly how the score is built.

Suggestion: Publish one complete sample report publicly so buyers can read the whole deliverable before signing up.

An exceptionally well-explained methodology: fifty real answers, a transparent scoring rubric and an honest example where the site contradicts Gemini.

Suggestion: Surface the paid plan details more prominently; a visitor must dig past the rating explainer to learn what Monday re-checks actually include.

The most thoughtful page of the twelve: the example report reads like a real audit, the scoring is transparent, and the privacy banner is upfront.

Suggestion: Trust would rise with a named company, address and at least one verifiable user or review; the footer only lists an email and a copyright.

A real collected report and an honest comparison table make the free audit compelling, though no team is named.

Suggestion: Add an About section naming the founders and a contact address in the footer.

Saved answers and shareable audits support agency workflows, but calling the Ruggable audit target made-up undermines an otherwise concrete sample.

Suggestion: Correct the sample-report disclaimer to explain exactly which brand details, answers and sources are real.

Well-tailored for agencies with pay-per-audit options and a real Ruggable report on the homepage, though it tracks fewer engines than peers.

Suggestion: Fix the contradictory caption above the sample report that calls it a real report for Ruggable while also stating the audited brand is made up.

The dated Ruggable report separates invented audit targets from real AI answers, offering unusually honest evidence for a free audit.

Suggestion: Add a named agency case study showing how a free audit led to a client fix and a later measured visibility change.

Excellent evidence through a real dated Ruggable report showing answers, competitors, sources and prioritised fixes.

Suggestion: Add a contact email or form link in the footer for agencies evaluating white-label reports.

A free no-signup audit plus a labeled real sample report is a strong, honest pitch for agencies.

Suggestion: Add a contact page or a visible support email so prospects can reach the team directly.

The honest Ruggable sample report and side by side comparison table build unusual credibility for a young tool.

Suggestion: Add a contact page and a named team or company to remove the only visible trust gap.

The published Ruggable audit, warts and all, is strong evidence, and free audits plus agency pricing make the offer concrete.

Suggestion: Add a contact page and one agency case study showing a client report under the agency's own logo.

A real collected Ruggable report, honest labelling of what is sample, and a free audit tier make the pitch unusually concrete and low-risk.

Suggestion: Add named contact details or a team page; the footer lists no address, phone or people, which thin trust for agency buyers.

Shows a real dated Ruggable audit with actual AI answers and citations, then sells a 3-audit free tier and a deep audit at €39.

Suggestion: The comparison table with Peec, Otterly, Profound and others is useful but adds noise; trim it and surface 'pricing' and 'demo' earlier in the nav.

The alert-to-reply story is persuasive and pricing detailed, though the model name listed reads oddly and adds confusion.

Suggestion: Link a privacy policy in the footer, since the product handles email addresses and alert content.

Thirty-second alerts and flexible matching address timely conversations, but the illustrated customer and search outcomes overshadow evidence of the monitoring interface.

Suggestion: Add an actual alert-configuration screenshot showing a semantic query, subreddit scope and matching post beside the first signup button.

Brilliantly connects real-time Reddit monitoring to long-term Google and AI search visibility through a visual timeline of a single helpful reply.

Suggestion: Simplify the pricing table by replacing technical model names like claude-haiku-5-5 and LLM call quotas with plain-English alert volumes.

Sub-30-second Reddit alerts plus editable reply drafts create a clear path from brand mention to useful public response.

Suggestion: Add a privacy link near signup and replace the illustrative Mailchimp outcome with one verified customer alert and its result.

Compelling real-time Reddit alert story with AI prompts, regex and reply drafting shown through a worked example.

Suggestion: Add a visible privacy policy link in the header or footer alongside your terms page.

Real-time Reddit alerts with AI prompt matching and drafted replies target a specific, active use case.

Suggestion: Add a privacy policy page, since the site currently shows none and the service handles email addresses.

The alert to reply to Google and AI citation narrative is compelling and the reply drafting is a real differentiator.

Suggestion: Publish a privacy policy page, since collecting emails for alerts with no privacy page undercuts trust.

Clear Reddit alerting with a concrete reply-drafting story, though the proof is illustrated mock-ups rather than real product screenshots.

Suggestion: Add one real, unedited screenshot of the live alert inbox beside the illustrated reply flow.

The clearest articulation of why an early Reddit reply compounds through Google and AI answers, with honest caveats about showing up late.

Suggestion: Publish a privacy policy; the site collects emails and keyword targets, and its absence is the most visible trust gap for buyers.

Sharp positioning: the first helpful reply is the asset that Google and ChatGPT later quote, which is a smarter pitch than another monitoring dashboard.

Suggestion: Privacy page is missing and the maker is unnamed; add a privacy policy and an About page so agencies feel safe sharing client keywords.

Persona-driven queries and agency mode are shown with real screenshots, but the sister-product banner distracts from the main offer.

Suggestion: Add named agency customers or a case study with before and after mention rates below the hero.

Persona-level dashboards and explicit query allowances give the segmentation approach substance beyond generic brand-mention tracking.

Suggestion: Explain how regenerated personas and questions remain comparable across reporting periods, directly beneath the trend-analysis feature.

Focusing on customer segments and dynamic personas rather than static keywords makes sense, backed by clear Nespresso report screenshots.

Suggestion: Fix the grammatical error in the Beyond Keywords section ('RivalSee dynamic personas') and add customer testimonials to validate Agency Mode.

Automatic customer personas, source tracking and agency client controls make the workflow concrete, though named customer evidence is absent from the homepage.

Suggestion: Add a dated customer case study with baseline and later mention rates beside the Nespresso report to substantiate the optimization claims.

Persona-driven queries differentiate it, but claims about recommendations are generic and supported by limited verifiable evidence.

Suggestion: Publish a sample persona report with actual queries and answers so buyers can verify the persona method.

Persona-driven tracking and agency mode with co-branded reports are concrete, not adjectives.

Suggestion: Remove the BotSee.io promo banner from the homepage so attention stays on RivalSee itself.

Persona driven queries instead of keyword lists is a genuinely useful angle, backed by clear dashboard shots.

Suggestion: Show a real customer report with named results rather than the Nespresso sample to prove outcomes.

A clear GEO dashboard with agency mode and solid pricing, but the pitch reads almost identically to several rival AI visibility tools.

Suggestion: Lead with one customer share-of-voice result instead of long generic feature sections.

Persona-based segmentation and agency co-branding are real differentiators, but the sister-product banner competes with the product's own story.

Suggestion: Drop the BotSee.io banner from the top of the homepage; it is the first thing a visitor reads and it dilutes the pitch.

Persona-based prompt generation is a clear angle versus generic keyword GEO tools, and the demo report has named competitors.

Suggestion: The top banner pushing the sister product BotSee.io distracts from the main pitch; move it to the footer or a 'Also from us' section.

The patch-and-verify idea is distinctive, but the page shows mostly an animated chat with little product proof.

Suggestion: Show a real reviewable diff and a verification experiment result directly under the hero.

Reviewable website diffs and comparison-group verification distinguish the workflow, but the visible homepage mostly demonstrates the agent conversation.

Suggestion: Show one complete example linking a captured answer, proposed page diff, human approval and verification result.

Shipping content fixes as reviewable diffs and running verification experiments is a great concept, but the homepage shows only a minimal chat box.

Suggestion: Expand the homepage below the fold to show visual examples of the CMS diff patches, AI Shopping cards, and verification experiments.

Human-approved page diffs and verification experiments move beyond reporting, but the hero animation reveals almost none of that workflow.

Suggestion: Replace the loading chat with a completed visibility query, cited answer and reviewable diff so visitors can see the full patch loop.

Differentiated GEO agent that drafts changes for human approval, though the homepage product preview shows little actual data.

Suggestion: Show a real Vera report with charts and a proposed diff on the homepage instead of an empty chat window.

The observe-explain-patch-verify loop that ships changes as reviewable GitHub diffs is genuinely different from dashboard-only tools.

Suggestion: Publish a full pricing page with all tiers and reactivate the public source repository to signal momentum.

The observe explain patch verify loop with version control integration and control group testing is genuinely unique.

Suggestion: Publish documentation and reactivate the source repo so the verification methodology can be inspected.

A polished, distinct approach: gaps become reviewable page diffs with human approval, which most rivals do not offer.

Suggestion: Add a short demo showing a real patch diff and the verification result that followed it.

The observe-explain-patch-verify loop through GitHub and WordPress approvals is a genuinely distinct idea, but the homepage shows a chat mock, not the product.

Suggestion: Replace the half-loaded Vera chat window in the hero with screenshots of an actual gap playbook and a shipped diff awaiting approval.

Differentiates on a conversational agent and human-approved content patches, which is rare in this category.

Suggestion: No pricing page link worked and the home page is mostly a chat widget; add a visible dashboard screenshot and a real public price to earn trust.

Honest about limits and clear pricing tiers, but only illustrations of made-up businesses rather than real reports.

Suggestion: Publish one real anonymised Full Report with its score and five fixes, linked from the hero.

The $30 report and explanation of noisy single answers make the offer approachable, although the displayed reports use fictional businesses.

Suggestion: Publish one complete, dated 108-answer report showing original answers and how its five fixes follow from them.

Refreshing honesty about noisy single-prompt scores and explicit labels showing that homepage examples use a made-up accounting firm.

Suggestion: Replace the simplified Brightlark Accounting illustration with a link to a complete, real 108-answer sample report so buyers see what $30 buys.

Refusing to score twelve noisy answers and labeling invented examples shows measurement honesty, while the one-off report keeps the first purchase accessible.

Suggestion: Publish one anonymized full report with dated answers and sources so buyers can inspect the 108-answer analysis before paying.

Very clear free Quick Scan and honest limits, with simple one-off and monthly options for fixes.

Suggestion: Show one anonymised real Full Report excerpt with its 108 answers to prove depth beyond the illustration.

Clear free-to-paid ladder from Quick Scan to Guided, with sample outputs honestly labeled as illustrations.

Suggestion: Show the actual prices on the homepage instead of leaving the paid plans unstated in the page copy.

Honest positioning that the scan measures but cannot force AI to name you, plus a 162 answer study, builds trust.

Suggestion: Differentiate the dashboard with trend tracking over time so Monthly feels distinct from the one off report.

Refreshingly honest about noise in single answers, with clear per-report pricing, but it looks much like the other AI visibility scans.

Suggestion: Publish one full sample Full Report so buyers see the score and five fixes before paying.

Candid about its own limits, including that one answer per question is too noisy to score, and the free scan removes all buyer risk.

Suggestion: Publish the October study's method in detail; the 81-of-81 claim is the most persuasive asset but currently sits behind a one-line summary.

Crisp copy that explains the job, the limits and the price on one page, with a free Quick Scan that lowers the entry barrier.

Suggestion: Only covers ChatGPT and Perplexity on the free tier and 4 engines on paid; add at least one named, dated sample report (not 'Brightlark Accounting') to prove the scoring is real.

The refund guarantee is bold, but prices and audience conflict between the description, homepage and Spain-only pricing page.

Suggestion: Show one consistent price and state in the hero that plans are sold in Spain only, before visitors enter a website.

The dental-clinic focus and explicit refund conditions are concrete, but the public progress experiment has only just begun.

Suggestion: Replace the Austin illustration with a Spanish dental-clinic example matching the market where subscriptions are available.

Standout differentiation by doing the actual weekly writing for websites, directory listings, and review replies, backed by a 90-day money-back guarantee.

Suggestion: Resolve the messaging conflict between the hero copy saying 'For dental clinics' and the pricing page targeting general businesses in Spain.

Publishing its own zero-from-six baseline and a precise 90-day refund formula makes the done-for-you offer concrete and accountable.

Suggestion: Align the English page with the Spain-only plans and dental-clinic focus, replacing the Austin example with a clearly labeled Spanish clinic scenario.

Specific money-back guarantee and weekly done-for-you content make the AI visibility promise unusually tangible.

Suggestion: Reconcile the dashboard description and dental clinic homepage so visitors see one consistent offer and price.

The done-for-you model with a named founder and a 90-day money-back guarantee is a bold, honest offer.

Suggestion: Reconcile the conflicting prices between the tagline and the pricing page before sending traffic.

The done for you content plus a money back guarantee and a public 90 day check of its own site is bold and clear.

Suggestion: Expand beyond Spain and beyond dental clinics, since the Spain only limit caps growth and sustainability.

A bold money-back guarantee, an honest self-audit of its own site and a tight dental niche make this easy to trust.

Suggestion: State clearly when other countries open, or add English pricing for buyers outside Spain.

Publishing its own 0-of-6 check result and a concrete 90-day refund metric is brave, honest differentiation from dashboard-only rivals.

Suggestion: Reconcile the pricing shown on the site with the stated plans so a visitor sees one consistent Grow and Scale price in one currency.

Shows the founder's own AI-visibility score (0 of 6) on the home page, and backs the plan with a 90-day money-back guarantee.

Suggestion: The 'plans from $49' line sits below a hero aimed at dental clinics; clarify the price and the target country before the first scroll on every page.

Live counts, per-zone tables and CSV downloads prove a working dataset, though it fits brand monitoring only loosely.

Suggestion: Add a homepage block showing how to watch newly registered domains for brand lookalikes, since that is the brand-protection use case.

Detailed domain tables and downloadable feeds demonstrate substantial data coverage, but this is infrastructure intelligence rather than direct brand-mention monitoring.

Suggestion: Publish a brand-protection walkthrough showing how daily domain lists identify suspicious brand-related registrations and support investigation.

Massive, transparent data tables and live honeypot feeds prove the product works immediately, though it serves technical domain intelligence rather than marketing brand monitoring.

Suggestion: Add a dedicated use-case section explaining how brand protection teams can filter daily domain lists to catch typosquatting and brand impersonation.

Live zone counts, downloadable CSVs and a documented honeypot feed demonstrate substantial data infrastructure, but this is not a brand-monitoring product.

Suggestion: If brand monitoring is intended, add a workflow showing how domain feeds detect impersonation or newly registered lookalike brand domains.

Impressive daily domain dataset at scale, but it is domain intelligence rather than a focused brand monitoring answer.

Suggestion: Add a brand-monitoring use case showing how newly registered domains trigger a trademark alert.

Massive, genuinely useful domain datasets with daily updates and free CC-licensed tiers.

Suggestion: Clarify on the homepage which buyer roles the domain data serves, to reduce mismatched expectations.

Impressive live domain data and a free honeypot feed, but this is domain intelligence, not brand monitoring.

Suggestion: Add a brand protection use case page that maps newly registered lookalike domains to trademark monitoring.

Deep, well-evidenced domain datasets with named customers and a free honeypot feed, though it is not brand monitoring.

Suggestion: Add a short guide showing how security teams use the compromised-domain feed in a daily workflow.

Live counts, per-zone CSVs, a free CC-BY honeypot feed and a named logo wall show a real, working data operation at scale.

Suggestion: Lead with a sentence saying who the data is for; the dense lists of datasets leave a first-time visitor guessing at the use case.

Honest, numbers-first page that shows exactly how many domains it tracks and what is in each zone, with a free CC-BY feed.

Suggestion: The page leads with raw zonefile stats; front-load one customer outcome (e.g., phishing takedown) so non-technical buyers see the value in five seconds.

Multi-turn persona simulation is a genuine angle, but large blank areas lower on the page and no visible pricing hurt confidence.

Suggestion: Publish a pricing page with the monthly continuous-measurement cost and fix the empty sections below the stats block.

Multi-turn buying-journey simulations offer a distinct angle, but broad market claims and undisclosed ongoing costs weaken the purchasing case.

Suggestion: Add a diagnostic scope and pricing panel distinguishing the free preview, seven-day full diagnostic and monthly measurement.

Simulating multi-turn buying conversations is a strong angle, but the full-page view loses its visual assets and no pricing is disclosed.

Suggestion: Publish transparent pricing tiers and fix the disappearing dashboard graphic on the homepage so visitors can see the conversation simulation interface.

Multi-turn buying-journey simulations are a meaningful twist on AI visibility tracking, but the site gives no prices and little customer proof.

Suggestion: Publish plan prices and add privacy and terms links beside the diagnostic form so prospects can assess costs and data handling before submitting.

Multi-turn conversation idea is distinct, but no visible pricing or legal pages makes buying hard to evaluate.

Suggestion: Publish pricing, privacy and terms pages so enterprise buyers can evaluate cost and data handling.

Multi-turn conversation simulation across seven LLMs is a fresh angle on AI brand visibility.

Suggestion: Publish pricing, privacy and terms pages, none of which are currently visible, so buyers can trust the offer.

Multi turn conversation simulation across seven LLMs is distinct, but no pricing, privacy or terms page is visible.

Suggestion: Add a public pricing page and privacy and terms pages so a careful buyer can evaluate cost and data handling.

A genuinely distinct multi-turn conversation method, let down by a French-only homepage and no visible pricing or legal pages.

Suggestion: Show the free preliminary diagnostic's actual output on the homepage so visitors see the deliverable before enquiring.

The multi-turn buying-journey simulation is a real idea, but a French-only homepage, no pricing or privacy pages and unverifiable 120k-prompt claims hold it back.

Suggestion: Publish pricing and privacy/terms pages and finish the English version so non-French buyers can evaluate anything beyond the hero.

The multi-turn conversation simulation is a real differentiator versus the prompt-tracking tools; the dashboard preview is concrete.

Suggestion: No privacy, terms, docs or pricing page is reachable, and prices are not shown; ship a public pricing page and legal pages before driving traffic.