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Quick recap. Discovery isn’t shifting. It shifted. People type fewer keywords and have more conversations with machines. The winners won’t chase clicks. They’ll plant ideas inside the model’s head so those ideas show up later when buyers ask, “What should I use?”

Part one covered the why. Today is the “with what”, your toolkit.

Why tools matter right now

Classic SEO tools told you which doors to knock on. LLM Optimization tells you which rooms the model keeps in its memory palace and whether your brand has a chair in there. You need to see what the models recall, how they describe you, and where you’re missing.

The job is simple to say, hard to do:

  • Audit what models say about you.

  • Simulate the questions buyers actually ask.

  • Engineer content that sticks.

Use tools to find the blind spots. Use strategy to fill them.

The must-have stack:

Think “rank tracking,” but for ChatGPT, Claude, and friends. Run your category queries, log where you show up, and set alerts when visibility dips. If you like making decisions with numbers, start here.

Otterly maps how rivals show up in model answers and highlights gaps where you can wedge in. Query clustering plus sentiment tells you what to publish next. Killer for crowded B2B spaces where positioning wins.

Nightwatch added AI overview monitoring on top of SEO. It flags when Google’s summaries include or ignore you. If “click-less” results are squeezing your traffic, this is your radar.

Peec rewrites and tunes existing assets so they’re easy for models to ingest and recall. Keeps your voice, boosts your pickup. Great for teams with piles of blogs, decks, and whitepapers that need a second life.

Profound simulates long, “help me think” conversations to see whether your brand shows up in the deep end, not just the listicles. It’s built for momentum questions like “What’s the smart play for X right now?”

Scrunch pulls influencer mentions, social signals, and content velocity to predict what the models will learn next. If you sell to consumers and want “underrated” status, this helps you feed the cultural fire.

Affiliate note: some links pay us a commission. We only include tools we believe move the needle.

How to deploy without drowning

Start lean. Pick one “measure” tool and one “make” tool.

Week 1

  • List 25 real buyer questions. Not keywords. Questions.

  • Run them across Rankscale or Nightwatch. Log your hits and misses.

Week 2

  • Use Otterly or Profound to find 10 wedge angles where you’re absent but should be there.

  • Choose 3. Turn existing assets into model-friendly answers with Peec. Publish on owned real estate with clean markup, clear entity names, and receipts.

Week 3

  • Re-run the queries. Track lift.

  • If you sell in a regulated space, run a Peec pass to sanity-check compliance language.

Maintenance

  • Scrunch for signal tracking. If momentum builds around a theme you own, double down. If it shifts, ship new proof.

What “good” looks like

  • Models describe you with the same words you want buyers to repeat.

  • You appear in comparison answers without being prompted.

  • Your advice gets quoted by the model even when your brand name isn’t in the question.

  • Visibility becomes durable. You aren’t chasing a spike. You’re compounding recall.

The bigger picture

Tools are your x-ray. Strategy is the surgery. Part three will give you the playbook: narrative arcs, evidence packets, partner placement, and a publishing cadence that teaches models to remember you.

We’re offering a few free LLM audits this month. Reply with your brand name, and we’ll take it from there.

If you’re serious about mastering LLM optimization, start here. We curated a CMO-ready toolkit of AI products that actually move the needle. Explore it here.

Keep optimizing,
Behind the CMO Team

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