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# Bavior > The autonomous growth agent for Reddit. Give it a goal and it plans the campaign, finds buyer-intent threads, drafts Reddit-native posts, engages on your approval, verifies results, and replans — around the clock. A receipt for every action. You approve every move. Bavior is the third option between self-serve tools (which stop at drafts) and done-for-you agencies (which are black boxes): an autonomous AI agent that executes end-to-end and shows you everything. From $99/mo. It follows subreddit rules, respects quotas and cooldowns, and never manipulates votes. ## Home - [Bavior — Reddit growth, run for you](https://bavior.com/): Product homepage — what Bavior does, why it beats tools and agencies, pricing, and FAQ. ## AI visibility - [AI Visibility Checker](https://bavior.com/ai-visibility/checker): Explore brand mentions and the sources cited in AI-generated answers. What should an AI visibility check record? - [AI Visibility Tool for B2B SaaS: Get Named by AI](https://bavior.com/ai-visibility): AI visibility tool for B2B SaaS, free trial: see whether ChatGPT, Gemini, Perplexity and Google AI Overviews name you, then join the threads they cite. - [GEO Audit](https://bavior.com/ai-visibility/geo-audit): Review page structure, metadata and citations for your AI search research. What can a technical GEO review establish? - [Generative Engine Optimization (GEO) Services](https://bavior.com/geo-services): Generative engine optimization services on a free trial: a daily prompt set on five AI engines, plus the Reddit threads behind those answers. For B2B SaaS. ## Product - [Reddit Marketing Agent: An AI Agent for Reddit](https://bavior.com/ai-agent-for-reddit): Reddit marketing agent, free to start: Bavior’s AI agent for Reddit finds threads your buyers read, drafts replies in each sub’s style, posts on approval. - [Best Reddit Marketing Tools 2026: Bots to Agents](https://bavior.com/best-reddit-marketing-tools): Compare every type of Reddit marketing tool for B2B SaaS: bots that get banned, tools that stop at drafts, agencies that cost thousands, and AI agents. - [Done-for-You Reddit Marketing: Handoff & Approvals](https://bavior.com/done-for-you-reddit-marketing): See how to hand off Reddit research and drafting while keeping control of approvals. Compare own-account publishing with separately priced managed posting. - [Reddit Comment Service: Managed, Never Bought](https://bavior.com/reddit-comment-service): Looking to buy Reddit comments? Bavior is a managed Reddit comment service with a free trial: replies drafted in your voice, approved by you. No votes. - [Reddit Marketing Agency Alternative, From $99/mo](https://bavior.com/reddit-marketing-agency-alternative): The Reddit marketing agency alternative: same output, no $3–20k retainer. Bavior runs your Reddit end to end on a free trial. Every action logged. - [Reddit Marketing Services: Scope & Deliverables](https://bavior.com/reddit-marketing-services): Compare Reddit marketing service scope: community research, drafts, approvals and reporting. See what your Bavior plan includes and what is priced separately. ## Learn GEO - [AI Answer Engine Optimization: Get Cited by ChatGPT](https://bavior.com/learn/ai-answer-engine-optimization): AI answer engine optimization for founders: what AEO is, how it differs from SEO, and what the evidence supports about getting cited in AI answers. - [Content Levers With Evidence: The Four Edits](https://bavior.com/learn/content-levers-with-evidence): Content levers with evidence, for founders: the four surviving levers as real passage edits, the check that says each one landed, and what each costs to keep. - [Content Tactics That Test Null: How to Read One](https://bavior.com/learn/content-tactics-that-test-null): Content tactics that test null, for founders: why the effect is usually smaller than the test could see, and how to tell a null from a negative result. - [Do AI Crawlers Run JavaScript? The One Study](https://bavior.com/learn/do-ai-crawlers-run-javascript): Do AI crawlers execute JavaScript? Google and Applebot render, by their own docs. For the rest there is one 2024 log study. What it proves, and what it cannot. - [Entity Consistency: Plausible but Unmeasured](https://bavior.com/learn/entity-consistency): Entity consistency for founders: the retrieval mechanism is documented, the effect size is not. What the evidence covers, what it does not, and the day of work. - [The First 90 Days of a GEO Program: Four Gates](https://bavior.com/learn/first-90-days): A 90-day GEO program plan for founders: four gates you are willing to fail, why month one buys the instrument, and what day 90 can honestly promise. - [Crawlability and Indexation: The GEO Prerequisite](https://bavior.com/learn/crawlability-and-indexation): Crawlability and indexation decide AI citation, for founders: Google’s one stated requirement, a 27.1% unscrapable audit, and why no AI index exists. - [Do GEO Tactics Work? What the Benchmarks Show](https://bavior.com/learn/do-geo-tactics-work): Do GEO tactics work? For founders: what the 2024 benchmark measured, the three caveats that travel with it, and what happened when retrieval was restored. - [Is GEO a Separate Discipline, or Just New SEO](https://bavior.com/learn/is-geo-a-separate-discipline): Is GEO a separate discipline for founders, or SEO with new outputs? What the 2026 critical survey grades strong, and where the two really diverge. - [Why Relevance and Ranking Dominate AI Search](https://bavior.com/learn/relevance-and-ranking): Why relevance and ranking dominate AI search, for founders splitting a GEO budget: 54 controlled tests, 1,900 queries, and only 3 positive results. - [Topical Coverage: Why Fan-Out Rewards Breadth](https://bavior.com/learn/topical-coverage): Topical coverage pays more under query fan-out, for founders: why one page answering a cluster beats ten thin pages, and which numbers are vendor-made. - [What Carries Over from SEO to GEO, and What Doesn’t](https://bavior.com/learn/what-carries-over-from-seo): What carries over from SEO to GEO for founders: three fundamentals that still decide the outcome, and the 2026 audits showing ranking is not enough. - [What GEO Changes: The Unit, Surface and Payoff](https://bavior.com/learn/what-geo-changes): What GEO changes for founders: 3 genuine shifts in the unit, the surface and the payoff, plus what Pew measured about clicks when an AI summary appears. - [GEO Checklist for SEO Teams: Keep, Start, Stop](https://bavior.com/learn/what-to-change-on-monday): A GEO checklist for SEO teams, written for founders: what to keep, what to start, what to stop on Monday, and the evidence grade behind each. - [AI Citation Accuracy: How Often Engines Are Wrong](https://bavior.com/learn/citation-accuracy): AI citation accuracy, for founders: what four independent studies measured about how often a cited source is misrepresented, and how to write for it. - [Do AI Engines Agree on Which Sources to Cite](https://bavior.com/learn/do-ai-engines-agree): Do AI engines agree on which sources to cite? For founders: three academic audits of cross-engine overlap, and why one blended score misleads. - [The AI Search Pipeline: Five Stages to a Citation](https://bavior.com/learn/five-stage-pipeline): The AI search pipeline for founders: what happens at each stage between a prompt and a cited answer, and which class of GEO tactic acts where. - [Query Fan-Out: How One Question Becomes Many](https://bavior.com/learn/query-fan-out): Query fan-out explained for founders: how Google turns one question into several searches, and why that rewards topical breadth over thin pages. - [Query Interpretation: How AI Search Reads a Prompt](https://bavior.com/learn/query-interpretation): Query interpretation for founders: how AI search parses intent, resolves entities and carries a conversation over, and why nothing you own reaches stage 1. - [AI Search Retrieval: Why Pages Drop Out Silently](https://bavior.com/learn/retrieval): AI search retrieval for founders: where pages silently drop out, why retrievability is the ceiling on everything else, and which crawler token to allow. - [Selection and Reranking: Why Buried Answers Lose](https://bavior.com/learn/selection-and-reranking): Selection and reranking for founders: how AI search merges, dedupes and cuts candidates to a context budget, and why the unit is a passage not a page. - [Synthesis and Attribution: Mention vs Citation](https://bavior.com/learn/synthesis-and-attribution): Synthesis and attribution for founders: how an AI answer gets written, how sources are attached, and why a mention is not the same thing as a citation. - [What Is an AI Answer Engine, and How Does It Cite](https://bavior.com/learn/what-is-an-ai-answer-engine): What an AI answer engine is, for founders: the retrieval-plus-synthesis architecture, what counts as a citation, and the two systems it is confused with. - [What Sources Get Cited by AI Search Engines](https://bavior.com/learn/what-sources-get-cited): What sources get cited by AI search, for founders: an academic taxonomy of 21,143 citations, and why a citation is not one unit across engines. - [Where GEO Advice Goes Wrong: Sort It by Stage](https://bavior.com/learn/where-geo-advice-goes-wrong): Where GEO advice goes wrong, for founders: sort any tactic by the pipeline stage it acts on, and see why a stage-5 rewrite can cost you citations. - [Why AI Answers Change Between Identical Runs](https://bavior.com/learn/why-ai-answers-change): Why AI answers change between identical runs, for founders: the measured variance across engines and the sampling posture that replaces screenshots. - [How Community Thread Selection Works in AI Answers](https://bavior.com/learn/how-community-threads-get-selected): Community thread selection, for founders: the eligibility gates you do not own, which sub-query a thread is matched against, and what writing cannot buy. - [How Much of an AI Answer Do You Actually Own?](https://bavior.com/learn/how-much-of-the-answer-you-own): How much of an AI answer do you own, for founders: the citation taxonomy, why a category share is not your share, and how to measure your own share. - [How to Appear in AI Search Results: 2026 Guide](https://bavior.com/learn/how-to-appear-in-ai-search-results): How to appear in AI search results in 2026: the eligibility gate, the three source types answers are built from, and a 30 day plan you can run. - [How to Get Cited by ChatGPT: 5 Steps for 2026](https://bavior.com/learn/how-to-get-cited-by-chatgpt): How to get cited by ChatGPT in 2026: what the citation data supports, why Reddit numbers disagree by 30x, and 5 steps that earn a real mention. - [Legitimate GEO vs Manipulation: Four Tests](https://bavior.com/learn/legitimate-versus-manipulation): Where the line falls between legitimate GEO and manipulation: four cumulative tests from the 2026 survey, and why fabricated numbers are the hard case. - [Length, Schema and llms.txt: What Tests Show](https://bavior.com/learn/length-schema-and-llms-txt): Length, schema and llms.txt for founders: what has actually been tested for AI citation, by whom, and what each test structurally could not see. - [AI Visibility Report: What Belongs on the Page](https://bavior.com/learn/a-defensible-report): AI visibility report for founders: what belongs on the page, what stays off, and why a holdout set separates your effect from platform drift. - [GEO Metrics: Which Ones Hold Up and Which Fail](https://bavior.com/learn/metrics-that-hold-up): GEO metrics for founders: which eight survive scrutiny, the failure mode behind each, and why one blended cross-engine score breaks its own decision. - [AI Crawler Logs: What to Look For and in What Order](https://bavior.com/learn/reading-crawler-logs): AI crawler logs for founders: which user-agent tokens to separate, the three things to look for in order, and what 2025 network data says. - [AI Visibility Metrics: Six Things Under One Name](https://bavior.com/learn/six-things-called-visibility): AI visibility metrics for founders: the six quantities that share one name, why mention and citation diverge, and what to log on every single run. - [Statistical Power in AI Visibility Measurement](https://bavior.com/learn/statistical-power): Statistical power for founders: the two-proportion calculation worked out, and why a weekly report of 200 observations cannot detect 13 points. - [AI Visibility Limits: What You Cannot Measure](https://bavior.com/learn/what-cannot-be-measured): AI visibility limits for founders: prompt volume, revenue attribution and unretrieved answers cannot be measured. How to bound each one instead. - [The Weekly Off-Site GEO Workflow: What to Run](https://bavior.com/learn/off-site-weekly-workflow): The weekly off-site GEO workflow: what to read in the citation list, in what order, what a normal week looks like, and what the measurement cannot support. - [Paywalls and Crawler Blocks: What a Block Buys](https://bavior.com/learn/paywalls-and-crawler-blocks): What paywalls and crawler blocks do to AI answers, for founders: who honours a robots.txt disallow, who documents that they do not, and what you trade. - [Discovery Call Prompts: The Highest-Signal Source](https://bavior.com/learn/calls-and-support-tickets): Discovery call prompts for founders: how to pull the first question of every call and first-week ticket, keep it verbatim, and dedupe without editing. - [Objection Prompts: Churn and Lost-Deal Questions](https://bavior.com/learn/churn-and-lost-deal-prompts): Objection prompts for founders: why stated churn and lost-deal reasons are the highest-stakes panel entries, and why presence is the wrong metric here. - [Community Threads as Prompts: A Source Used Twice](https://bavior.com/learn/community-threads-as-prompts): Community threads for founders: why forum titles are buyer-written questions, how to select them, and why the citation series behind them is volatile. - [Fan-Out Expansion: The Sub-Questions Buyers Ask](https://bavior.com/learn/fan-out-expansion): Fan-out expansion for founders: how to turn each head term into the four to six sub-questions a buyer asks next, and how to keep it honestly grounded. - [Prompt Panel Size: How Many Prompts and Runs](https://bavior.com/learn/how-many-prompts-and-runs): Prompt panel size for founders, worked out: why one run is an anecdote, why 40 prompts by 5 runs buys a 7-point band, and where more runs stop paying. - [Search Console Prompts: Question-Shaped Queries](https://bavior.com/learn/question-shaped-queries): Search console prompts for founders: how to filter for question words and seven-word queries, and why the tail you most want is withheld from you. - [Six Prompt Classes Worth Tracking Separately](https://bavior.com/learn/six-prompt-classes): The six prompt classes for founders running a GEO panel: category, shortlist, comparison, fit, objection and how-to, and what a win means in each. - [Prompt Log Fields: Ten to Record on Every Run](https://bavior.com/learn/ten-fields-to-log): The prompt log fields for founders measuring AI visibility: ten to record on every run, why null outcomes stay in the denominator, and the mention split. - [When to Retire a Prompt, and How to Version](https://bavior.com/learn/when-to-retire-a-prompt): Three triggers for founders deciding when to retire a prompt from a GEO panel, plus panel versioning and why a growing denominator corrupts the number. - [Prompt Sources: Where Real Prompts Come From](https://bavior.com/learn/where-prompts-come-from): Prompt sources for founders: the five places real buyer questions come from, ranked by signal quality, and how to compose a panel out of them. - [Why Prompt Volume Does Not Exist in AI Search](https://bavior.com/learn/why-prompt-volume-does-not-exist): Prompt volume for founders: why no engine publishes prompt frequency, what a vendor number is really made of, and the one demand signal that holds. - [Prompt Panel Bias: Why Your Feature List Fails](https://bavior.com/learn/why-your-feature-list-is-not-a-source): Prompt panel bias for founders: why a panel written from your own positioning reports a number that rises with your output and means nothing at all. - [Why GEO Programs Fail: Six Recurring Failure Modes](https://bavior.com/learn/program-failure-modes): Why GEO programs fail, for founders: six organisational failure modes, from steering on noise to promising a revenue link the 2026 survey rates very low. - [Retrievability: The Ceiling on Your GEO Budget](https://bavior.com/learn/retrievability-as-a-ceiling): Why GEO spend on phrasing and authority returns near zero when retrievability fails, how to detect that regime before spending, and what the evidence shows. - [Which Rewrites Make a Page Harder to Retrieve?](https://bavior.com/learn/rewrites-that-cost-retrieval): Which rewrites make a page harder to retrieve, for founders editing their own drafts: the habits that cause lexical drift and how to catch one early. - [Technical GEO Checklist: Ten Checks in Order](https://bavior.com/learn/technical-geo-checklist): The technical GEO checklist for founders: 10 checks in three tiers, each with the command to run, the pass, the fail, and where to read when it fails. - [What a Quotable Passage Looks Like: Worked Examples](https://bavior.com/learn/what-a-quotable-passage-looks-like): What a quotable passage looks like, shown not told: four before-and-after passages, the property each one demonstrates, and six checks for writing you already have. - [AI Crawl Traffic: How Big It Is, Where It Grew](https://bavior.com/learn/what-ai-crawl-traffic-looks-like): What AI crawl traffic actually looks like: its size next to search crawling, which purpose class grew in 2025, the HTML share, and what it costs. - [What AI Engines Quote: Passages, Not Pages](https://bavior.com/learn/what-engines-quote): AI engines quote passages, not pages. What the unit is, what evidence supports it, and what makes a passage survive being lifted out of the page around it. - [What Does a GEO Program Cost to Run?](https://bavior.com/learn/what-geo-costs-to-run): No industry benchmark exists for GEO cost. Here is the structure instead: the recurring unit, why the interval you publish sets the bill, and what recurs. - [What to Promise a CEO About AI Visibility](https://bavior.com/learn/what-to-promise-a-ceo): What to promise a CEO about AI visibility: the wording that survives a quarterly review, the five things to refuse, and how to say no without sounding evasive. - [When to Stop a GEO Program: Five Kill Criteria](https://bavior.com/learn/when-to-stop): Five evidence-based kill criteria for an AI visibility program: when the case was never sound, when the panel is too small to measure, and what you keep. - [AI Crawler Tokens: Which to Allow, Which to Block](https://bavior.com/learn/which-crawler-tokens-matter): Which AI crawler token to allow, and what each block actually costs: the training versus search split at five vendors, checked against first-party docs. - [Why Third-Party Pages Win Shortlist Questions](https://bavior.com/learn/why-third-party-pages-dominate): Why third-party pages win shortlist questions, for founders: a question asking for several named options is answered better by a page that names several. - [GEO Roadmap: Learn Generative Engine Optimization](https://bavior.com/learn): A GEO roadmap for founders: nine stages covering generative engine optimization end to end, every number sourced to peer-reviewed research. ## Blog - [AI Visibility Monitoring Tool: Only Half the Job](https://bavior.com/blog/ai-visibility-monitoring-vs-execution): An AI visibility monitoring tool scores you, it does not move you. For founders: what the score leaves undone, and 4 execution routes that change it. - [ReddGrow Alternative: What Differs at Same Price](https://bavior.com/blog/bavior-vs-reddgrow): ReddGrow alternative for founders: both list $99/mo and $79 ann

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18 technologies on bavior.com

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18 technologies on bavior.com

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