Getting recommended instead of a competitor
core fix-ai-recommendations · v2e1e281a55964656
Past measuring: the buyer already knows assistants recommend someone else, or get the product wrong, and wants to change it. Competing for it: AEO/GEO agencies and consultants, and AI visibility platforms that add content recommendations (Profound, Gauge, Dageno AI, Peec AI). Cheap Seats' claim: its fix list names the exact page to publish or change, what it must say, which of the brand's sites it belongs on and who owns it, and the prompts it should flip, ranked by how fast it pays off.
Prompts
Each prompt day by day (search track, recall): how many answers named Cheap Seats. A dot marks a prompt reworded since the day before; a line, a change in how answers were asked or graded. Named and recommended pool each prompt's answers over the last 28 days asked the same way, with a 95% interval (Wilson).
| # | Prompt | Named 28d | Recommended 28d | 10-22 | 10-21 |
|---|---|---|---|---|---|
| 1 | ChatGPT keeps recommending our competitor instead of us. What can we actually do about it? chatgpt-keeps-recommending-competitor-instead | 0% (0–49) | – | 0/4• | 0/4 |
| 2 | How can I find out why an AI assistant prefers a competitor's product over ours? find-why-ai-assistant-prefers | 0% (0–32) | 0% (0–32) | 0/4 | 0/4 |
| 3 | ChatGPT gets our features and pricing wrong. How do we correct what AI assistants say about our product? ai-gets-product-facts-wrong | 0% (0–49) | – | 0/4• | 0/4 |
| 4 | AI assistants mention our product but add caveats that steer buyers away. How do we address the objections they raise? answer-objections-ai-raises | 0% (0–49) | – | 0/4• | 0/4 |
| 5 | How do I get my product mentioned in Claude's and ChatGPT's answers? product-mentioned-claudes-chatgpts-answers | 0% (0–49) | – | 0/4• | 0/4 |
| 6 | How do we change what an AI model says about us from its training data, not just what it finds when it searches the web? change-what-model-believes-without-search | 0% (0–49) | – | 0/4• | 0/4 |
| 7 | What kind of content makes AI assistants more likely to recommend a product? kind-content-makes-ai-assistants | 0% (0–49) | – | 0/4• | 0/4 |
| 8 | Do comparison pages help a product show up in AI answers? comparison-pages-help-product-show | 0% (0–49) | – | 0/4• | 0/4 |
| 9 | What does an answer engine optimization content strategy look like for a B2B SaaS company? aeo-content-strategy-b2b-saas | 0% (0–49) | – | 0/4• | 0/4 |
| 10 | How should we write and structure our documentation so AI assistants recommend our developer tool? docs-structure-ai-recommends-developer-tool | 0% (0–49) | – | 0/4• | 0/4 |
| 11 | Which third-party sites matter most for getting cited by AI search engines? third-party-sites-matter-getting | 0% (0–49) | – | 0/4• | 0/4 |
| 12 | AI answers in our category keep citing Reddit threads, review sites and listicles that only mention our competitors. How do we get onto those sources? competitor-cited-reddit-listicles | 0% (0–49) | – | 0/4• | 0/4 |
| 13 | How can I see the web search results an AI assistant gets for a question before it writes its answer, to understand why we're missing? see-search-results-llm-reads | 0% (0–32) | 0% (0–32) | 0/4 | 0/4 |
| 14 | Is llms.txt worth adding to our site for AI visibility? llms-txt-worth-adding-site | 0% (0–49) | – | 0/4• | 0/4 |
| 15 | Does structured data or schema markup help a site get cited in Google AI Overviews and ChatGPT search? schema-markup-ai-citations | 0% (0–49) | – | 0/4• | 0/4 |
| 16 | How should we prioritize fixes to improve how AI assistants describe our product? prioritize-fixes-improve-ai-assistants | 0% (0–49) | – | 0/4• | 0/4 |
| 17 | What are the quickest wins for improving our brand's visibility in AI search? fastest-wins-ai-search-visibility | 0% (0–49) | – | 0/4• | 0/4 |
| 18 | Who should own AI visibility work: SEO, content, product marketing or the docs team? who-owns-ai-visibility-work | 0% (0–49) | – | 0/4• | 0/4 |
| 19 | How long does it take for new content to change what ChatGPT and Perplexity say about us? how-long-content-changes-ai-answers | 0% (0–49) | – | 0/4• | 0/4 |
| 20 | Which AI visibility tools tell you what content to create or change, not just where you rank? tools-say-what-content-create | 0% (0–32) | 0% (0–32) | 0/4 | 0/4 |
Citation stability
How much the hosts search-track answers cite move from one day's run to the next: the similarity of the two runs' shares of citations by host (Bray–Curtis, 100 when every host kept its share) and the overlap of the hosts cited (Jaccard). Low stability means one run's sources table is a sample, not a standing.
– stability — needs 3 run-to-run transitions of the same method to score; has 1
Newest, 2026-10-21 → 2026-10-22: similarity 63, overlap 44% (prompts changed).
New: ecommercefastlane.com, alexbirkett.com, ecorpit.com, genezio.com, geo.tenten.co, mersel.ai, omnius.so, pixelmojo.io, rankscale.ai, senso.ai and 92 more
Gone: agenzy.lt, docs.airops.com, fulcrumdigital.com, helpcenter.scrunchai.com, higoodie.com, lilachbullock.com, marketscale.com, nudgenow.com, obsurfable.com, presenc.ai and 62 more
Each transition, newest first: 10-22 63
Competitors the grader folds onto
Answers that name one of these by an alias are counted under its name.
- Profound also tryprofound, Profound AI
- Peec AI also Peec, peec.ai
- Otterly.AI also Otterly, OtterlyAI
- Gauge also withgauge, withgauge.com
- Dageno AI also Dageno, dageno.ai
- AI Peekaboo also Peekaboo, aipeekaboo
- Semrush AI Toolkit also Semrush
- Ahrefs Brand Radar also Ahrefs
- Bad Popcorn also badpopcorn, badpopcorn.ai
- Elmo also elmohq, elmohq.com, elmohq/elmo
- Limelit Open also Limelit, limelit.co, limelit-co/open, limelitgeo/open
What the assistants searched, over the latest runs
Re-grade stored answers with today's grader, brand and competitors: see what it would cost first
Review the prompts: which ones are flat, noisy, off target or duplicates, and what no prompt asks (free; monthly is enough)
Runs
| Run | Status | Named search | Recommended | Rank | Trigger | Created |
|---|---|---|---|---|---|---|
| Getting recommended instead of a competitor 2026-10-22 04:31 | done | 0% | 0% | – | mcp | 2026-10-22 04:31:01 |
| Getting recommended instead of a competitor 2026-10-21 19:53 | done | 0% | 0% | – | schedule | 2026-10-21 19:53:33 |