Co-Founder of GTMDialogues & CEO of Inbound Marketing Practice.
Search is no longer just about ranking on Google. Buyers today start their journey on AI-powered tools like ChatGPT, Perplexity, and Gemini, asking for direct answers instead of scrolling through dozens of links. This shift has created a new playbook for AISO (AI-Search Optimization).
Where traditional SEO focused on backlinks, keywords, and SERPs, AISO adds another layer, making your content discoverable, indexable, and citable inside AI answers. The brands that adapt fastest will not only dominate Google but also secure a place in the AI-driven buying journey.
This glossary is designed for SaaS founders, GTM leaders, and marketers who need clarity. Each term below is explained in plain language, its impact is broken down, and a real-world example is provided.
By the end, you’ll know exactly how to position your content for both search engines and generative AI models:-
Artificial Intelligence Search Optimization (AISO) is the practice of making content discoverable and citable inside AI-generated answers. Unlike traditional SEO, which focuses on ranking on Google’s results pages, AISO ensures that large language models (LLMs) like ChatGPT, Perplexity, or Gemini can parse, retrieve, and reference your content.
As more buyers rely on AI assistants at the very start of their research journey, brands that don’t adapt risk disappearing from the conversation altogether. Visibility in this new layer of search often decides which companies are considered long before a prospect visits a website. When a founder asks Perplexity about the best CRM tools for startups, only a handful of sources are cited. A blog structured with clear content chunks, semantic anchors, and citation-ready stats is far more likely to appear in that short list, putting the brand into the buying journey from the first query.
Artificial Intelligence Crawlers (AI Crawlers) are bots deployed by companies like OpenAI, Anthropic, and Google to scan and evaluate online content. Their role is similar to Google’s web crawlers, but instead of indexing for search engines, they feed data into large language models to improve retrieval and response quality.
If your site blocks or confuses these crawlers, your content may never make it into the AI ecosystem. That’s why technical hygiene matters. Sitemaps, robots.txt, and structured formatting help ensure AI crawlers can interpret your pages. Many SaaS blogs that once ranked high in Google are invisible in ChatGPT’s answers simply because their pages weren’t crawlable in the right format.
Artificial Intelligence Citation (AI Citation) refers to moments when an AI tool directly references your content, either by linking to your domain or quoting a passage in its generated answer. Unlike Google, which shows dozens of results, AI responses usually highlight only a handful of sources, making each citation disproportionately valuable.
Being cited signals authority and trustworthiness in the model’s eyes. It can also drive highly qualified traffic when a buyer reads a cited answer on Perplexity and clicks through, they arrive with intent. A SaaS startup publishing original research on churn reduction, for instance, is more likely to be cited than a generic blog, immediately raising its visibility among decision-makers.
Artificial Intelligence Citation Loops (AI-Citation Loops) describe the compounding effect where once your content is cited by an AI model, it gains authority, which in turn increases the chances of being cited again. Over time, this creates a flywheel where a few early citations snowball into ongoing visibility.
For SaaS brands, this loop can be the difference between being a one-off mention and becoming a consistent reference point. A startup that publishes benchmark data on SaaS pricing might get cited once in ChatGPT; as users keep encountering that source, the model learns to trust it further, making future citations even more likely.
Artificial Intelligence Citation Watchlists (AI-Citation Watchlists) are systems or processes for tracking when and where AI tools reference your brand or competitors. Unlike SEO rankings, citations in AI answers are harder to monitor, making structured watchlists essential for staying competitive.
For a SaaS company, spotting a rival consistently cited in Perplexity or ChatGPT reveals gaps in your own strategy. One HR-tech startup, after noticing competitors being cited for “employee retention strategies,” began publishing structured, data-backed guides, and soon earned citations in the same AI responses.
Artificial Intelligence Indexing (AI Indexing) is the process by which AI models break down and store content into smaller, retrievable units. Instead of treating an entire page as one entry, AI systems parse articles into chunks or passages that can be recalled in response to user queries.
This means that clarity and structure matter more than ever. A SaaS guide filled with dense text may get overlooked, while the same insights broken into clean sections with clear headings and concise stats are more likely to be indexed and reused in AI answers.
Artificial Intelligence Passage Retrieval (AI Passage Retrieval) is the method AI models use to pull out the most relevant section of text (often just a few sentences) from a larger body of content. Instead of surfacing an entire article, the model delivers a passage that best answers the query.
For SaaS founders, this means a single well-written paragraph can carry more weight than a 2,000-word blog. A crisp section outlining “steps to reduce churn” is more likely to be retrieved and cited than a long, unfocused post.
Alternative Text (Alt Text) is the descriptive text added to images in a webpage’s code. It was originally designed for accessibility, helping screen readers describe visuals, but it also plays a role in how search engines and AI crawlers interpret non-text content.
For SaaS companies, alt text can be a subtle edge. An analytics startup that consistently used descriptive alt text like “dashboard showing SaaS churn rate trends” found that not only did their images rank in Google search, but snippets from those visuals also began appearing in AI answers.
Anchor Text refers to the clickable words used in a hyperlink. It tells both search engines and AI crawlers what the linked page is about, shaping how authority and context are passed between pages.
When used strategically, anchor text can signal relevance for high-intent topics. A SaaS blog linking to its pricing page with “SaaS subscription pricing models” as the anchor is more likely to rank for that phrase, and equally more likely to be surfaced in AI answers discussing pricing strategies.
Backlinks are links from other websites that point to your content. They remain one of the strongest signals of credibility, both for Google’s algorithm and for AI crawlers that evaluate which sources to trust when generating answers.
A SaaS company publishing original research on customer retention that gets cited by leading industry blogs not only boosts its Google rankings but also increases its chances of being included in AI-generated answers about churn. Strong backlinks create a dual advantage in both SEO and AISO.
Bounce Rate is the percentage of visitors who leave your site after viewing only one page. A high bounce rate often signals that content didn’t meet expectations, the page loaded too slowly, or there were no clear next steps for the visitor.
For a SaaS pricing page, an 80% bounce rate might suggest confusing messaging or missing CTAs like “Start Free Trial.” On the flip side, a blog with a high bounce rate isn’t always negative. Readers may have found exactly what they needed in one chunk. The key is context: crawlers and AI tools interpret low bounce rates on core pages as a signal of relevance and authority.
Canonical Tags (Canonical Tags) are pieces of HTML code that tell search engines and AI crawlers which version of a page should be treated as the primary one. They prevent duplicate or near-duplicate content from competing against each other, consolidating authority under a single URL.
A SaaS startup with multiple blog posts about “churn reduction” might accidentally create overlap. By setting a canonical tag pointing to the most comprehensive guide, they ensure that both Google and AI models treat that page as the definitive source, improving visibility and citation potential.
Citation Density is the frequency with which AI tools reference your domain or passages across many queries. It’s a proxy for trust: the more often models pick your content, the more likely they are to pick it again on adjacent topics.
Publish a benchmark hub on “SaaS churn and retention,” interlink related studies, and seed concise, citation-ready stats throughout. Soon, answers on “reduce churn,” “renewal playbooks,” and even “pricing impact on retention” start pulling your snippets, nudging your brand into repeated AI mentions.
Chunk-Level Indexing is the process by which AI systems break down content into smaller, meaningful segments instead of storing entire pages as single units. Each chunk, often a paragraph or even a single sentence is treated as an independent piece of knowledge that can be retrieved when answering queries.
This makes micro-clarity critical. A SaaS blog with dense, unstructured text risks being overlooked, while one that divides insights into clean, well-labeled sections ensures each chunk has a chance to surface. For example, a guide on churn reduction that neatly separates “onboarding fixes”, “pricing levers”, and “customer success workflows” allows AI to pull the most relevant chunk into its response without needing the entire article.
Content Chunks are smaller, self-contained sections of text that break down a larger article or page into digestible units. Instead of presenting information in long, unbroken formats, chunks make it easier for both humans and AI crawlers to scan, understand, and retrieve insights.
Well-structured chunks often become the building blocks of AI answers. For instance, a SaaS whitepaper that divides retention strategies into “onboarding,” “support,” and “pricing” chunks gives AI tools multiple precise entry points to pull from. Each chunk can then stand on its own as a reliable, quotable answer.
Content Optimization (CO) is the process of refining content with the right keywords, structure, and technical setup so it ranks higher and performs better in search. In the AISO era, CO also ensures that content is easy for AI crawlers to interpret and index.
A startup guide titled “Best CRM Tools for Startups” that uses clear headings, keyword alignment, and clean metadata not only ranks better on Google but also increases its chance of being cited by AI tools. In both cases, optimized content becomes the bridge between search intent and visibility.
Content Process Automation (CPA) is the use of automation and AI to handle repetitive content tasks like research, drafting, repurposing, and scheduling. Instead of spending hours on manual work, teams can free up bandwidth to focus on strategy, creativity, and storytelling.
A SaaS company running weekly blog campaigns, for example, might automate the first draft generation and repurposing into LinkedIn posts and newsletters. The team then spends its time refining messaging and aligning with customer needs turning automation into a multiplier rather than a replacement.
Content Process Optimization (CPO) is the structured approach to ensuring content consistently shows up across channels including search engines, AI tools, PR, and communities. It’s not just about creating content but about building the systems that keep it visible, discoverable, and trusted over time.
A SaaS brand that publishes a case study, distributes it via industry newsletters, repurposes it into LinkedIn posts, and ensures it’s technically optimized for both Google and AI crawlers is practicing CPO. This process-driven visibility makes the content hard to ignore, no matter where the buyer starts their search.
Core Web Vitals are a set of performance metrics defined by Google that measure how fast, stable, and responsive a webpage feels to users. They include loading speed, interactivity, and visual stability - all factors that influence user experience and search visibility.
A SaaS landing page that loads in under two seconds, avoids layout shifts, and responds instantly to clicks not only keeps prospects engaged but also signals to Google and AI crawlers that the page is trustworthy. Faster, smoother experiences increase the odds of both higher rankings and inclusion in AI-driven answers.
Crawl Budget is the number of pages a search engine or AI crawler allocates to scanning your website within a given timeframe. Large sites or poorly structured ones can waste crawl budget on irrelevant or duplicate pages, leaving important content undiscovered.
For SaaS companies, this can make or break visibility. A documentation portal with thousands of URLs, for example, might get only part of its pages crawled if the budget is stretched. By prioritizing clean sitemaps, reducing duplicate content, and focusing crawlers on high-value pages, you ensure that the right material is indexed and retrievable in both Google and AI systems.
Crawl Errors occur when search engines or AI crawlers cannot access or interpret a webpage properly. Common examples include 404 errors for missing pages, 500 errors for server issues, or blocked resources that prevent crawlers from understanding content.
Left unresolved, these errors can limit visibility and damage authority. Imagine a SaaS platform’s pricing page returning a 404 error, not only does it hurt SEO rankings, but it also means AI tools won’t retrieve or cite pricing details. Monitoring crawl reports and fixing issues quickly keeps both Google and AI crawlers on track.
Click-Through Rate (CTR) is the percentage of people who click on your page after seeing it in search results. It reflects how compelling your title, description, or snippet is at convincing a user to take the next step.
A SaaS blog that ranks third on Google for “best CRM tools” but attracts a higher CTR than the top two results shows the power of strong titles and meta descriptions. Similarly, in AI search tools like Perplexity, a clearly phrased source headline can draw clicks even if multiple references are listed.
Domain Authority (DA) is a metric developed by Moz that predicts how likely a website is to rank on search engines. It’s calculated based on factors like backlink quality, site structure, and overall trustworthiness. While it’s not a Google ranking factor, both marketers and AI crawlers use it as a proxy for credibility.
A SaaS company with a DA of 70 is far more likely to appear in AI-generated answers than a competitor with a DA of 20, even if both cover similar topics. High authority signals to AI tools that your content is reliable enough to cite.
Domain Rating (DR) is an Ahrefs metric that measures the strength of a website’s backlink profile on a scale from 0 to 100. Unlike Domain Authority (DA), which is Moz’s metric, DR focuses primarily on the quantity and quality of backlinks pointing to a site.
A SaaS startup with a DR of 65, built through partnerships and guest posts on reputable sites, will not only rank higher on Google but also stand a better chance of being included in AI-generated answers. Strong backlinks tell crawlers, human, and machine that your site is trusted across the web.
Duplicate Content refers to blocks of text that appear across multiple URLs, either within the same site or across different domains. Search engines and AI crawlers struggle to decide which version to prioritize, often diluting visibility and authority.
For a SaaS brand, this might happen when product documentation is published in multiple places without canonical tags. Instead of boosting reach, the overlap can confuse crawlers, causing none of the versions to rank strongly or be cited in AI answers. Cleaning up duplicates ensures that the right page becomes the authoritative source.
External Linking is the practice of adding hyperlinks from your site to other trusted websites. While it may seem counterintuitive to send readers elsewhere, it actually signals credibility to both Google and AI crawlers by showing that your content is well-researched and connected to authoritative sources.
A SaaS blog on “customer onboarding best practices” that links to Gartner research or a government compliance site not only strengthens trust with human readers but also increases the likelihood of AI models pulling it into generated answers. Outbound links become proof points of reliability.
Generative AI Search Optimization (GSO) is the practice of tailoring content specifically for AI-driven search tools like ChatGPT, Perplexity, and Gemini. While traditional SEO aims for visibility on SERPs, GAISO ensures your insights are structured so AI models can understand, retrieve, and cite them.
A SaaS company publishing a detailed churn analysis with clear statistics and short, quotable takeaways might not just rank on Google but also appear directly in AI-generated answers. In this new search layer, GAISO becomes the bridge between expertise and discoverability.
H1, H2, and H3 Tags are HTML heading elements that structure content hierarchically. They help both readers and crawlers understand the flow of information, signaling which topics are most important and how supporting details are organized beneath them.
A SaaS blog titled “Customer Retention Strategies” with a clear H1, followed by H2s like “Onboarding Improvements” and “Pricing Models,” makes it easier for Google and AI crawlers to parse. Each section then has a higher chance of being indexed or even cited independently in AI-generated answers.
Hypertext Transfer Protocol Secure (HTTPS) uses Secure Sockets Layer (SSL) certificates to encrypt data between a website and its visitors. It’s a foundational trust signal for both users and crawlers, ensuring that information exchanged is secure.
For SaaS companies handling sensitive customer data, HTTPS is non-negotiable. A site without SSL not only risks scaring away prospects with browser warnings but also loses credibility with Google and AI crawlers. A secure connection signals reliability, improving both rankings and the chance of being referenced in AI answers.
Impressions measure how often your webpage appears in search results, whether on Google or within AI-driven platforms, even if users don’t click through. They act as a visibility metric, showing that your content is being surfaced to audiences.
For SaaS marketers, rising impressions on a blog about “SaaS onboarding best practices” indicate that search engines and AI crawlers are recognizing it as relevant to user queries. Even without immediate clicks, growing impressions are the first step toward traffic, citations, and eventual conversions.
Indexing is the process by which search engines and AI crawlers store your web pages in their databases, making them retrievable when users run queries. Without indexing, even the best content remains invisible to both Google and AI-driven platforms.
For example, a SaaS company might publish a detailed whitepaper on compliance automation. If the page isn’t indexed due to errors in robots.txt or missing sitemaps, neither Google nor ChatGPT will surface it in responses leaving valuable insights locked away. Ensuring clean, accessible indexing is the first step toward visibility.
Internal Linking is the practice of connecting one page of your website to another through hyperlinks. It guides users through your content journey while also helping crawlers understand the hierarchy and relationships between your pages.
A SaaS blog on “Reducing Churn” that links to related posts like “Onboarding Best Practices” and “Customer Success Metrics” keeps readers engaged and signals topical authority. For crawlers, these links act as pathways, ensuring deeper indexing and increasing the chances that multiple pages, not just one, appear in Google and AI-generated answers.
Keyword Difficulty (KD) is a metric that estimates how hard it is to rank for a specific keyword. It’s calculated based on factors like the number and quality of backlinks pointing to top-ranking pages. A higher KD means stronger competition and more effort required to achieve visibility.
For a SaaS startup, targeting high-KD keywords like “best CRM software” might be unrealistic early on. Instead, focusing on mid or low-KD phrases such as “CRM tools for remote startups” can drive quicker wins, and those wins often carry over to AI-generated answers, where niche relevance boosts the chance of citation.
A Meta Description is the short summary of a webpage that appears below the title in search engine results. While it isn’t a direct ranking factor, it strongly influences click-through rates by shaping how users perceive the value of your page.
For SaaS brands, a bland description like “Learn about CRM tools” won’t inspire action. A sharper version “Compare the top 5 CRM tools for startups with pricing, features, and integrations” attracts more clicks. Higher engagement not only boosts SEO performance but also makes the page more appealing for AI crawlers to surface in responses.
A Meta Title is the clickable headline that appears in search engine results. It’s one of the strongest on-page signals for both SEO and AI crawlers, influencing how a page is ranked and whether it gets clicked.
A SaaS guide titled “10 Proven Ways to Reduce SaaS Churn in 2025” will stand out far more than a vague title like “Tips for Customer Retention.” The sharper and more descriptive the title, the more likely it is to capture clicks on Google and citations in AI-generated answers.
Mobile-Friendliness refers to how well a website performs on smartphones and tablets. It covers responsive design, readability without zooming, quick load times, and easy navigation - all of which affect user experience and search performance.
For SaaS companies, mobile usability is no longer optional. A pricing page that looks seamless on desktop but breaks on mobile risks losing half its audience. Google factors mobile-friendliness into rankings, and AI crawlers are more likely to cite content from sites that meet modern usability standards.
Off-Page Search Engine Optimization (Off-Page SEO) refers to actions taken outside your website to improve its authority and visibility. This includes backlinks, PR mentions, guest posts, and citations from trusted domains that signal credibility to both Google and AI crawlers.
For example, a SaaS startup featured in a Forbes article on “AI Tools for SMBs” gains a powerful backlink and brand mention. That single off-page signal not only boosts Google rankings but also makes it more likely for AI models to cite the startup’s site as a reliable source.
On-Page Search Engine Optimization (On-Page SEO) is the practice of optimizing individual web pages to rank higher and attract more relevant traffic. It covers elements like headings, keywords, metadata, internal links, and content structure.
A SaaS company publishing a blog on “customer success metrics” that uses a clear H1, keyword-aligned subheads, optimized meta tags, and contextual internal links not only improves Google visibility but also makes the content easier for AI crawlers to parse and cite. Well-structured on-page SEO is the backbone of both SEO and AISO.
Organic Traffic refers to visitors who land on your website through unpaid search results rather than ads. It is one of the clearest signals that your SEO and content strategy are working, since it shows users are finding you naturally.
For a SaaS brand, steady organic traffic to a blog on “reducing churn” proves that the content is resonating with real search intent. Beyond Google, this same visibility increases the odds that AI models also surface and cite those pages in generated answers - extending reach into both traditional and AI search.
Page Authority (PA) is a Moz metric that predicts how well a specific page will rank in search results. Unlike Domain Authority, which measures overall site strength, PA focuses on the ranking potential of individual pages based on backlinks, structure, and relevance.
For a SaaS company, a blog on “SaaS Pricing Models” with strong backlinks and optimized on-page SEO might build a PA of 50+, giving it a far better chance of ranking in Google. High-PA pages also carry more weight with AI crawlers, making them more likely to be cited in AI-generated answers.
Page Speed measures how quickly a webpage loads and responds to user actions. It’s a critical factor for both user experience and search performance, as slow-loading sites lead to higher bounce rates and lower rankings.
For SaaS businesses, even a one-second delay on a signup or demo page can cause prospects to drop off. Google rewards faster sites with better visibility, and AI crawlers are also more likely to prioritize snappy, accessible content when generating answers. Speed directly impacts conversions and discoverability.
Prompt Sweeps are systematic tests run across multiple AI tools to check how often and in what context your brand or content is cited. Instead of guessing visibility in generative AI, prompt sweeps give a direct view of how models retrieve and reference information.
A SaaS marketing team, for instance, might run monthly sweeps with prompts like “best onboarding tools for startups” across ChatGPT, Perplexity, and Gemini. If competitors consistently show up while their own brand does not, it highlights the need to restructure content into citation-ready chunks and stats.
Quotes, often called AI-Ready Quotes, are short, attribution-friendly sentences crafted so that AI tools can lift and cite them directly. Unlike long paragraphs, these are concise, verifiable statements that carry authority when surfaced in AI-generated answers.
For example, a SaaS research report might state: “47% of mid-market SaaS companies cite onboarding as their top churn driver.” Because it’s precise and self-contained, an AI tool can reuse it confidently, giving the company recurring visibility in responses about churn.
Robots.txt is a simple text file placed at the root of a website to guide search engine and AI crawlers on which pages or sections they can or cannot access. While it doesn’t enforce rules, it strongly influences how bots interact with your site.
For a SaaS company, accidentally blocking the /blog directory in robots.txt could mean that valuable thought-leadership content never gets indexed by Google or surfaced in AI tools. Properly configured, it ensures crawlers spend time on the right pages, maximizing both SEO and AISO visibility.
Schema Markup, also known as Structured Data, is code added to a webpage that helps search engines and AI crawlers understand its context. It can define elements like FAQs, reviews, events, or product details, making the content easier to parse and display.
For a SaaS company, adding FAQ schema to a pricing page ensures that answers like “Does this plan include integrations?” are not only clearer to Google but also more likely to be pulled into AI-generated responses. Structured data turns raw information into context-rich signals that crawlers trust.
Search Volume is the estimated number of times a keyword is searched within a given period, usually measured monthly. It helps marketers gauge demand and prioritize which topics or queries to target.
A SaaS startup might see that “best project management tool for startups” has 5,000 monthly searches, while “AI-driven project management software” has 500. While the latter has lower search volume, it could be more valuable if AI tools are citing fresh, niche-specific content. Balancing high-volume and intent-driven keywords is key for both SEO and AISO strategies.
Semantic Anchors are context-setting phrases within content that help AI models recognize information as authoritative and reliable. They often include time references, source attributions, or structured phrasing that increases the likelihood of being cited.
For instance, a SaaS report that says, “In its 2024 survey, Gartner found that 62% of SaaS firms struggle with churn during onboarding” creates a strong semantic anchor. The timestamp and attribution make the statement easy for AI to lift confidently, raising the chances of citation in generated answers.
A Search Engine Results Page (SERP) is the page displayed by a search engine after a user enters a query. It typically includes organic results, paid ads, featured snippets, and sometimes AI-generated summaries.
For SaaS founders, ranking high on the SERP for a keyword like “churn reduction strategies” drives both visibility and credibility. But today, it’s also about being structured so your content is pulled into featured snippets or cited in AI summaries layered on top of the SERP.
A Sitemap, often in XML format, is a file that lists all important pages on a website to guide crawlers in discovering and indexing them. While search engines can find pages through links, a sitemap ensures nothing critical is missed, especially in large or complex sites.
For a SaaS company with dozens of product pages, documentation hubs, and blogs, a clean XML sitemap helps both Google and AI crawlers understand site structure. This makes it more likely that high-value assets like pricing guides or case studies get indexed and retrieved for relevant queries.
Structured Data is a standardized way of formatting information on a webpage so that crawlers can better interpret it. Using schema markup, you can signal whether a piece of content is a review, FAQ, product detail, or event, giving it a higher chance of surfacing in enriched results or AI answers.
For example, a SaaS company that marks up its “Customer Success Webinar” with structured data ensures that both Google and AI tools understand it’s an event with a date, time, and topic. This clarity increases the odds of the webinar being displayed in search results or cited in AI-generated responses.
Thin Content refers to pages with little or no meaningful value for users. These might include duplicate posts, auto-generated text, or shallow articles that fail to answer a query in depth. Both Google and AI crawlers deprioritize thin content because it lacks authority and substance.
For instance, a SaaS blog with a 200-word post titled “Top 3 CRM Tools” is unlikely to rank or be cited. On the other hand, a detailed 2,000-word guide with comparisons, pricing data, and use cases signals depth, making it far more attractive for both traditional SEO rankings and AI-generated answers.
Vectorized Content is text that has been transformed into embeddings, numerical representations that capture the meaning of words and phrases. AI models use these embeddings to retrieve semantically relevant content, even when the exact keywords don’t match.
This shift favors well-structured, context-rich writing. A SaaS blog that clearly explains “customer churn during onboarding” may still surface in AI answers to queries like “why do SaaS customers cancel early?” because embeddings connect the concepts. Vectorization means clarity and depth of meaning matter as much as keyword placement.
Website Traffic is the total number of visitors landing on your site within a given period. While it’s often treated as a vanity metric, the quality of that traffic, who’s visiting and why matters far more than the raw number.
For a SaaS startup, 5,000 monthly visitors that match the ideal customer profile can drive more trials and conversions than 50,000 casual readers. Search engines and AI crawlers also weigh engagement signals, so traffic paired with meaningful interactions boosts long-term visibility and citation potential.
Co-Founder of GTMDialogues & CEO of Inbound Marketing Practice.
