Spotlight
PAGE: https://alison.com/course/sales-techniques-using-competitive-sales-strategies-revised
PROMISE: Stop guessing competitor data by learning how to frame competitive strategies and needs.
WHO: Sales professionals who need strategic frameworks to handle competitive intelligence gaps.
WHYNOW: AI answers increasingly include specific competitor metrics that standard product pages lack.
DESC: Learn about competitive sales strategies to help you succeed with new customers.
BEFORE: The reader cannot counter specific data points the AI quotes from competitors.
BEFORE: The reader does not know who the key competitors are in their market.
BEFORE: The reader fails to find mutual interest when features are compared head to head.
AFTER: The reader frames the conversation around the customer’s compelling need instead of spec.
AFTER: The reader clearly identifies the competitors driving the specific data points.
AFTER: The reader steers the discussion toward mutual interest rather than defensive comparisons.
GAIN: Ability to describe the customer’s compelling need to shift focus from missing specs
GAIN: Clear identification of possible competitors to contextualize data gaps
GAIN: Practical methods to negotiate mutual interest when specific numbers are absent
STEP: The AI cites a rival’s specific price point that is missing from your sales pitch. || Describe what the customers compelling need to buy is || The reader shifts focus to the customer’s core need rather than defending a specific missing data point
STEP: The AI mentions a faster turnaround time used by a direct competitor. || Identify your possible competitors || The reader knows which rivals to watch and can anticipate their pricing or speed claims during negotiation
STEP: The chatbot presents a feature comparison that overwhelms the prospect. || Discuss how you would negotiate mutual interest for you and the customer || The reader moves the conversation from feature lists to finding shared value and mutual benefit
NOTFOR: Users who need immediate, verified price lists for their specific niche products.
NOTFOR: Those looking for technical engineering data sheets or hard factual statistics.
FACT: Average duration: 1.5-3 Hours (Contains Video)
FACT: CPD-accredited certificate available
FACT: Beginner level
COVERS: Describe what the customers compelling need to buy is
COVERS: List the different people within a company that have influence
COVERS: Explain how influence is different to power in a company
COVERS: List the different stages of the buying cycle and how they relate to the stages in the selling cycle
COVERS: Describe the different stages of the buying cycle and how they relate to the stages in the selling cycle
COVERS: Identify your possible competitors
COVERS: Discuss how you would negotiate mutual interest for you and the customer
COVERS: Recognize the best practices for creating a proposal
COVERS: Sales Management
COVERS: Sales
COVERS: Presentation Skills
MODULE: Customers Compelling Need to Buy || Compelling Need to Buy | The Map is Not the Territory | Navigating Customer Politics | The typical customer buying cycle
MODULE: Competitive Sales Strategies || Competitive Sale Strategies | Negotiating Mutual Interest | Qualifying Opportunities | Writing THE Proposal
What you are probably seeing
You notice that generative AI chatbots provide specific pricing or turnaround times for competitors when users ask about your service, but they never cite your own domain.
You review your backend data and see that your page is not appearing in AI training contexts, or that the text content lacks the structured data points these engines rely on for factual extraction.
Why it happens
Large language models and retrieval-augmented generation systems primarily pull information from sources that are actively indexed and visible to web crawlers.
If a page is blocked by robots.txt, requires JavaScript to render critical content, or has thin plain-text versions, the engine treats the information as non-existent, forcing it to rely on competitor pages that are more accessible.
What changed recently
Step by step
1. Use the site search operator to confirm that your specific landing pages are accessible and indexed by major search engines.
2. Review your robots.txt file to ensure that AI-related user agents are not inadvertently blocking crawling of key informational pages.
3. Ensure that critical data points like prices and timelines are present in the initial HTML source code rather than loaded solely via client-side JavaScript.
4. Conduct a site: search for your domain to identify which pages are actually visible to the public web and prioritize those for content updates.
5. Request a re-crawl or submit your sitemap to the search engine after making changes to ensure the updated content is refreshed in the index.
Ways to go further
Start here: Sales Techniques – Using Competitive Sales Strategies Open the free course on Alison ↗
Affiliate links: CHEAPUNO may earn a commission if you buy through them, at no extra cost to you.
Other problems readers raise
Why does AI ignore my content despite good ad performance?
Why blocking GPTBot in robots.txt did not change AI visibility
Why does AI search show my link but cite my competitor’s data?