# Attune Intelligence Inc — Complete LLM Context > Attune gives marketing and growth teams AI tools and agents that work the way your company does, so you run an AI-native operation and stay ahead. ## Entity - Legal name: Attune Intelligence Inc - Website: https://attune247.com/ - Contact: hi@attune247.com - Category: Forward-deployed AI platform for marketing and growth teams - Profile: https://x.com/attune247 - Profile: https://www.instagram.com/attune247/ - Profile: https://www.linkedin.com/company/attune-intelligence/ Attune Intelligence Inc is a marketing software company, separate from music, hearing-health, and healthcare organizations named Attune. ## Engagement and pricing Both plans start with a demo and onboarding. Platform, for teams that run Attune themselves, starts at $2,500 per month. FDE support, which adds forward-deployed engineers who integrate Attune and build custom tools, workflows, automations, and AI harnesses, starts at $7,500 per month. Final pricing depends on data volume and deployment scope. ### Platform (Self-serve, from $2,500 per month) For teams that run their AI-native marketing operation themselves. We demo and onboard you, then your team captures what the market is saying, analyzes where you stand, executes the work, and improves with every result. Integrations, custom tools, and automations are yours to set up. - Market data collected at the intervals you set across AI answers, search, reviews, publishers, social, and competitors - Your own analytics, Search Console, CRM, CMS, and storefront data read live through standard connectors - AI tools for your team to research, analyze, and plan - Specialist AI agents that take on work inside the approvals you set - The full workspace in the app and over MCP in Claude, ChatGPT, and your own agents - A demo and onboarding to get your first objective running ### FDE support (White-glove, from $7,500 per month) Everything in Platform, plus forward-deployed engineers (FDEs) who integrate Attune into your business and build what your team needs on top of it. - Everything in Platform - Forward-deployed engineers (FDEs) assigned to your account - Integrations with your data, tools, and internal systems - Custom tools, workflows, and automations built for your team - Custom AI harnesses built on the same foundation Forward-deployed engineers (FDEs) are Attune engineers assigned to your account on the FDE support plan. They integrate Attune with your data, tools, and systems, and build custom tools, workflows, automations, and AI harnesses for your team. On Platform, your team sets these up itself. Plan details: https://attune247.com/pricing ## Collection and connected data You set the collection interval for market data, whether daily, weekly, monthly, or another schedule. Data you bring in is read live from the connectors you approve. ## Platform AI tools your team uses at every step, and AI agents that can take the work on, built around how your company works. The data collection, connectors, and context graph underneath give both the same picture of the market and the business. ### Capture Market data is collected on the schedule you set across AI answers, search, reviews, publishers, social, and competitors. Your team researches it with AI, or agents watch it for you. ### Analyze Your analytics, Search Console, CRM, CMS, and storefront data are read live. Analyze them with AI against the market and your objectives, so every gap carries the evidence behind it. ### Execute Plan with AI, with work ranked by evidence, likely impact, and your ability to act. Then execute in your own software, or hand it to specialist AI agents inside the approvals you set. ### Improve Attune re-reads the same signals against the earlier baseline, records whether each piece of work helped, and carries the result into the next plan. ### Ontology One model holds your market, your objectives, the work your team ships, and what that work changed. You set the collection interval for market data, whether daily, weekly, monthly, or another schedule. Data you bring in is read live from the connectors you approve. ### Harness Objectives become work that runs across your tools inside the approvals you set, with every output checked before anything leaves. Work that never ships does not count. ## Deliverables ### Market insights Market shifts, competitor moves, and buyer signals, with the evidence and the recommended response. ### Reports and presentations Recurring performance reads, board decks, and stakeholder updates, built from live data instead of a stale export. ### Collateral and assets Battlecards, one-pagers, creative, and ad variants, produced against your brand guidelines and current messaging. ### Content Articles, landing pages, and comparison pages, written in your voice with your proof points. ### Website Page rewrites, new pages, and structural fixes, previewed visually then shipped to your CMS or your codebase. ### SEO and AEO Technical fixes, page inventory, and answer wording, aimed at the queries and prompts you need to win. ## Connections ### Plug Attune into your AI tools Attune connects seamlessly with the AI assistants and agents your team already uses, over MCP. ChatGPT / Codex, Claude, Gemini, Perplexity, Grok, Custom MCP. ### Connect your own data The graph reads your data live from the connectors you approve and writes approved work back into your systems. Google Analytics, Shopify, Clarity, Search Console, CRM, CMS. ## Frequently asked questions ### Understanding Attune **What does Attune do?** AI is reshaping every market and how companies go to market. Attune helps companies modernize how they operate and stay ahead of the competition. Attune is forward-deployed AI for marketing and growth teams: we give your team AI tools for every step, and AI agents that can take the work on, built around how your company works. In one system, your team captures what the market is saying, analyzes your data against your goals and the market, executes the work in your own software or with specialist AI agents, and improves with every result as you see how it moved your numbers and the market. Underneath is an intelligent OS, one data foundation of market signals, first-party data, and business context, so each cycle starts from what the last one learned. **What does forward-deployed AI mean?** Forward-deployed AI means AI built around how your company actually works: your market, your data, your objectives, your workflows, and your approvals, rather than a general tool your team has to adapt. Your team uses Attune’s AI tools directly, and its agents take on work inside the approvals you set. On the FDE support plan, forward-deployed engineers (FDEs) from Attune also integrate it into your stack and build custom tools, workflows, automations, and AI harnesses with you. **What is Continuous Marketing?** Continuous Marketing is a way of operating when markets change between planning cycles. Teams maintain a current market read, choose the most important response, move approved work forward, and compare fresh evidence with the earlier baseline. Attune runs those steps as one ongoing loop: capture what the market is saying, analyze where you stand, execute the work, and improve with every result. **Why does a continuous market read matter?** Buyer expectations, competitor narratives, search demand, reviews, publisher coverage, social discussion, and AI responses can change before the next planning cycle. A continuous read helps teams see meaningful changes early enough to reconsider priorities and keep marketing and growth work aligned with the market. **Is Attune an AI visibility or AEO platform?** AI-answer visibility is one signal Attune can track. Attune also examines the sources and public information shaping those answers, broader search and market signals, and the internal context a company chooses to connect. The product is built to improve marketing decisions and coordination, with changes in AI answers treated as one possible downstream signal. **How is Attune different from a dashboard or one-time audit?** Attune connects the market read to a prioritized work queue, reviewable execution, and a fresh read after work is completed. The evidence, decisions, completed work, and later results remain connected for future cycles. That gives teams an operating loop as well as a record of what was observed. **How is Attune different from using a general-purpose LLM?** A general-purpose LLM works from the context supplied in a prompt or conversation. Attune works from a structured market read, the company data and tools you connect, marketing-specific workflows, and a retained history of priorities, completed work, and later evidence. Its agents are designed around those marketing jobs and review steps. **Is Attune software, a service, or both?** Both, depending on the plan. Every plan starts with a demo and onboarding. On Platform, your team runs Attune and its AI agents directly and sets up its own integrations and automations. FDE support adds forward-deployed engineers (FDEs) who integrate Attune with your data, tools, and systems and build custom tools, workflows, automations, and AI harnesses for your team. See Pricing for details. ### Market Read and Context **What information does Attune bring together?** Attune combines external market signals with the first-party context a company chooses to connect. External signals can include search, publisher coverage, reviews, communities, social sources, competitor pages, owned pages, citations, and AI answers. Connected context can include analytics, Search Console, CMS or storefront data, documents, product information, and approved internal sources. **What role do AI answers play?** AI answers are useful because they compress information from many sources into framing a buyer may encounter. Attune reads the answer, citations, and source material together, then looks for patterns across questions and over time. The answer remains one piece of evidence within the larger market read. **Can Attune connect to our internal data and tools?** Yes, based on scope and the connections you approve. Examples include analytics and Search Console, CMS and storefront data such as Webflow or Shopify, Google Workspace, and approved internal connections through MCP. Connected data adds company and performance context to the external market read. **Can we use Attune inside our own AI systems?** Yes. Attune exposes its data foundation over MCP, so you can query your market from Claude, ChatGPT, or agents your own team builds. Custom applications can also be built on the same foundation by your team or with implementation support, within the agreed scope. **Can Attune trace findings back to sources?** Attune keeps findings tied to the prompts, citations, pages, publishers, reviews, competitor materials, and owned sources behind them. That evidence lets the team inspect why a finding exists and decide whether the suggested work is warranted. **Can we ask Attune questions in natural language?** Yes. Attune’s AI layer uses the market signals and company context available in the workspace. Teams can ask what changed, which sources shape a comparison, why an objection keeps appearing, or which work has the strongest evidence. **How often is the market read updated?** You set the collection interval for market data, whether daily, weekly, monthly, or another schedule. Data you bring in is read live from the connectors you approve. ### Priorities, Agents, and Learning **How does Attune decide what work matters next?** Attune ranks work using the strength of the evidence, likely impact, connected company context, and the team’s ability to act. Each recommendation includes the reasoning behind it so people can apply their own judgment before committing resources. **What happens after Attune identifies a gap?** A gap becomes scoped, reviewable work with the supporting evidence, rationale, suggested action, owner or team, acceptance criteria, and a plan for checking what changed. The work might be a page or proof update, a comparison, an outreach brief, a battlecard, a documentation change, or another marketing task supported by the evidence. **What do Attune’s marketing agents do?** Attune’s specialist AI agents research, synthesize, draft, and prepare work using the available market and company context. They can help move approved work toward the tools a team uses. People remain responsible for judgment, refinement, permissions, approval, and publication. **Does Attune publish changes automatically?** Attune is designed to keep the team in control. Agents prepare and route work within the permissions and review process the team configures, while people decide what is approved and what is published. Some findings may need more context or no action at all. **How does Attune verify what changed?** Attune connects completed work to a fresh read of the relevant signals and compares that evidence with the earlier baseline. Depending on the task, that may include changes in answer framing, citations, search visibility, source coverage, page behavior, or another configured measure. Observed market change remains separate from a commercial outcome such as revenue. **What happens when a change does not help?** Attune records the result as helped, no movement yet, regressed, or needs more data. That outcome stays attached to the work and becomes context for whether to wait, revise the approach, gather more evidence, or prioritize something else. **How does Attune learn over time?** Completed work, timing, baselines, and later reads stay connected in the platform. Attune can use that history when suggesting the next priority, including evidence that a previous approach helped, stalled, regressed, or remains unclear. Later recommendations start with more context than a fresh, disconnected analysis. ### Fit and Engagement **Who is Attune for?** Attune is for teams managing research-intensive buying journeys and markets where narratives, comparisons, proof, and source influence change what buyers consider. Common users include marketing, content, brand, PR Comms, SEO, AEO, revenue, and leadership across B2B SaaS, brands, publishers, entertainment, healthcare, and other considered-purchase categories. **Does Attune replace a marketing and growth team?** No. Attune adds decision support and execution capacity around work the team still owns. It helps people decide what matters, prepares work, preserves evidence, and tracks later results; the team supplies domain judgment, final context, approval, and accountability. **What does an engagement look like?** An engagement starts by defining your company, competitors, category, buyer questions, collection intervals, and connected context. The first market read connects those signals to your priorities and workflows. Deployment and implementation support are scoped with your team. **How should teams evaluate Attune’s impact?** Teams can evaluate Attune at three levels: whether it found and prioritized useful work, whether the work was completed, and whether the relevant market signals changed afterward. Connected performance and commercial data can add downstream context. Commercial outcomes require their own evidence and timeframe. **How much does Attune cost?** Both plans start with a demo and onboarding. Platform, for teams that run Attune themselves, starts at $2,500 per month. FDE support, which adds forward-deployed engineers who integrate Attune and build custom tools, workflows, automations, and AI harnesses, starts at $7,500 per month. Final pricing depends on data volume and deployment scope. Pricing is scoped around your market and use case, not a seat count. See Pricing for what each plan includes. **Who is Attune not a fit for?** Attune is a weak fit for teams that want only a static visibility score, a one-off screenshot, or a stream of AI-generated content with no operating owner. It works best when a team can review evidence, decide what matters, and act on prioritized marketing and growth work. ## Published articles ### The Bottleneck Moved https://attune247.com/articles/the-bottleneck-moved Every function adopted AI and got faster. Growth did not move. Judgment, coordination, and feedback were the binding constraints all along. ### A Single Prompt Is Not a Market Read https://attune247.com/articles/a-single-prompt-is-not-a-market-read An AI answer is one consequential observation. A credible market read tracks presence, framing, evidence, and variance across the questions buyers ask. ### Who Owns the Answer? https://attune247.com/articles/who-owns-the-answer When AI assembles your reputation from docs, reviews, PR, and sales objections, fixing a wrong answer crosses every team. The next org chart names an owner. ### The Supply Chain of Belief https://attune247.com/articles/the-supply-chain-of-belief A wrong AI answer is rarely a model problem. It is a supply-chain problem: a finished belief refined from upstream sources. Fix the source, not the symptom. ### Brand is Infrastructure https://attune247.com/articles/brand-is-infrastructure AI shifts buyer understanding upstream before a visit, demo, or sales conversation. Your brand is already shaping preference in AI conversations. ## Canonical web surfaces - https://attune247.com/ - https://attune247.com/articles - https://attune247.com/faq - https://attune247.com/pricing - https://attune247.com/privacy - https://attune247.com/platform - https://attune247.com/resources - https://attune247.com/signup - https://attune247.com/terms - https://attune247.com/primer - https://attune247.com/sitemap.xml - https://attune247.com/feed.xml - https://attune247.com/llms.txt Last reviewed: 2026-09-22