Key takeaways

• Competitor anxiety is useless unless you can measure what rivals actually win on and why.

• You can reverse engineer competitor search and positioning using only public data and an AI assisted workflow.

• The stack spans SEO tools, traffic tools, crawlers, SERP inspection, LLM visibility tools, and review forums.

• The output is a clear map of competitor strengths and gaps across topics, intent, AI Overviews, and LLM citations.

• You translate that into a defend, steal, expand plan instead of random content ideas.

• The process produces concrete deliverables: scorecards, attack plans, and a 30 to 60 day execution backlog.

Most marketing teams feel constant pressure from competitors but cannot explain, in specific terms, what those competitors are actually winning on.

You hear lines like:

• “They are everywhere in search.”

• “Our buyers keep mentioning them.”

• “Their content is killing us.”

None of that is a strategy. It is background noise.

Our approach is to turn competitor anxiety into a repeatable, tool driven workflow. We pull public signals from search, content, links, and AI generated answers, then convert them into a clear map of what competitors win on and an action plan to beat them.

Everything we use is public data. No private analytics, no gray area scraping, no guesswork dressed up as insight.

Step 1: Define the real battlefield

Before you open any tools, you have to define who you are actually fighting and where.

Pick 3 to 5 true competitors

We start by selecting:

• Direct category competitors with overlapping ICP and use cases

• Adjacent players that your buyers compare you to in RFPs, G2 reviews, and sales calls

• One or two “aspirational” competitors that shape expectations even if they target a slightly different segment

This keeps the analysis grounded. Twenty competitors is noise. Three to five is a battlefield.

Define the topics that matter

Next we define the topic set that actually drives deals. For a mid market B2B company, that usually includes:

• Core category terms and subcategories

• Priority use cases and workflows

• Integration scenarios and buying committees

• Vendor evaluation, pricing, and implementation topics

This gives us a lens for the rest of the analysis. We are not trying to understand everything a competitor publishes. We care about what matters to your pipeline.

Step 2: Quantify what competitors win in search and AI

Once the battlefield is defined, we use AI and SEO tools to quantify your competitors’ advantage across search and AI surfaces.

Competitive SEO and traffic analysis

We typically use:

• Semrush or Ahrefs for competitive SEO analysis

  • Keyword footprints and ranking deltas

  • Content gaps where they rank and you do not

  • Backlink profiles and link intersect reports

• Similarweb for channel and referral insights

  • Search vs referrals vs paid mix

  • Top referral sources and partner ecosystems

This tells us, at a basic level, where your competitors get their visibility and authority.

Crawl and structure inspection

Then we use crawlers such as Screaming Frog or Sitebulb to:

• Map competitor information architecture and content clusters

• Inspect templates, internal linking patterns, and schema usage

• Spot indexation signals and technical choices that support their strategy

This is where we see if your rivals are simply shipping more content or if they are structuring it in ways that give them an advantage in AI features and SERP elements.

SERP and AI Overview inspection

We spend time in the actual results, not just in exports. That includes:

• Manual and lightly automated Google SERP inspection for priority queries

• Checking for Google AI Overviews presence and which pages feed those panels

• Identifying featured snippets, People Also Ask patterns, and “discussions and forums” triggers

• Noting any obvious brand bias where one vendor is repeatedly pulled into answer boxes

This shows us where competitors are already winning the “zero click” layer that shapes perception before users even visit a site.

LLM visibility analysis

Finally, we look at how large language models talk about your space. With Profound or equivalent LLM visibility tooling we can:

• Test representative prompts and see which brands and pages are cited

• Measure prompt level coverage gaps where competitors appear and you do not

• Understand which topics and evidence types correlate with citations

This is the emerging frontier: competitive analysis for how models describe the category, not just how search engines rank it.

Step 3: Decode competitor positioning with AI

Search and rankings tell you where competitors are visible. You still need to know what they are saying and how they frame the market. That is where AI summarization and pattern detection come in.

Analyze core pages with structured prompts

We feed competitor homepages, product pages, and pricing pages into models with prompts like:

“Analyze these competitor homepages and pricing pages (paste text). Extract positioning: ICP, pain points, proof, differentiators, objections handled, and implied category narrative. Output a positioning matrix.”

The model gives us a first pass matrix showing:

• Who they claim to serve and who they ignore

• Which pain points they highlight

• What proof they lean on: logos, case studies, certifications, trials

• How they differentiate themselves

• What objections and risks they preempt

• How they describe the category itself

We then review and refine that matrix manually. The AI does the heavy lifting on synthesis. Humans decide what actually matters.

Layer in customer language and objections

Positioning is not just what a company says about itself. It is what the market repeats. So we add:

• G2 and Capterra reviews for phrase patterns and common objections

• Reddit threads and industry forums for comparison framing buyers use

• Social and community mentions where practitioners talk about these tools in real workflows

AI summarization helps here too. Instead of reading hundreds of reviews, we can cluster themes and extract the recurring language buyers use for each vendor.

The result is a positioning profile that combines site messaging with market language, not just copywriting.

Step 4: Turn insight into a defend, steal, expand plan

Raw analysis does not make you competitive. Action does. We translate all of this into a practical strategy.

Cluster keywords and URLs by intent with AI

We use AI to work through competitor keyword exports:

“Given this competitor keyword export (paste top queries plus URLs), cluster by buyer stage and intent. Identify 10 content gaps and 10 steal opportunities where we can publish a better answer.”

This produces:

• Awareness, consideration, and decision clusters for each competitor

• Gaps where your rivals have weak or no coverage

• “Steal” opportunities where they rank with thin or generic content you can beat with a sharper, AI ready page

We sanity check the AI output and tie it back to business priorities.

Design content formats to beat them in AI answers

Next, we ask models to help us think like buyers in your category:

“For the topic set [topics], generate the most likely AI assistant questions buyers ask, then propose which content formats and evidence types would increase citation likelihood versus competitors.”

From this, we identify:

• Question patterns that currently favor competitor content

• Formats that would outperform them: comparison guides, implementation playbooks, integration diagrams, pricing explainers

• Evidence types that matter: case summaries, trials, benchmarks, certifications

This informs concrete page briefs designed to be more useful to both humans and LLMs than what competitors offer.

Build the defend, steal, expand roadmap

All of this insight is then organized into three lanes:

• Defend

  • Protect and upgrade your core pages that already rank or drive pipeline

  • Make them AI ready so they feed AI Overviews and assistant answers, not just classic SERPs

• Steal

  • Target competitor pages that are vulnerable

  • Publish better answers for their key queries and SERP features

  • Build links and authority specifically around these clusters

• Expand

  • Create net new content and topics where neither you nor competitors are strong yet

  • Capture emerging questions and use cases before the field gets crowded

This avoids the trap of “let’s just create more content” and replaces it with a prioritized attack plan tied directly to observable competitor behavior.

Deliverables clients actually care about

The output of this workflow is not a 60 page slide deck that no one reads. It is a set of artifacts that drives execution.

Typical deliverables:

• Competitor scorecard

  • Topic and intent coverage by cluster

  • Link authority and SERP feature presence

  • Google AI Overviews likelihood and actual appearances

  • LLM citation gaps where competitors are named and you are not

• Attack plan backlog

  • 10 quick wins where you can ship better answers within 30 days

  • 10 mid lift plays such as new hubs, comparison assets, and integration guides

  • 3 to 5 big bets tied to key pipeline stages and high value topics

Because everything is based on public data and repeatable prompts, you can rerun this process quarterly and see how the battlefield shifts.

Why this approach works

This workflow works for CMOs and growth leaders because it:

• Removes guesswork and opinions from your competitive story

• Uses AI SEO tools to convert messy public data into structured insight

• Frames your organic and AI search strategy as a direct response to what the market is already rewarding

• Keeps you focused on defend, steal, and expand plays that tie back to pipeline, not vanity metrics

Instead of saying “our competitors seem ahead,” you can say “they win these topics, with these formats, in these SERP and AI features, and here is our 60 day plan to change that.”

Request a Competitor Intelligence Sprint

If you want this level of clarity, the entry point is simple: a focused Competitor Intelligence Sprint.

We take your top competitors, run them through this AI driven analysis across Google rankings, AI Overviews, and LLM citations, then deliver a 30 to 60 day attack plan with prioritized content moves and authority plays.

No speculation. Just an evidence based view of the battlefield and a concrete plan to tilt it in your favor.