Choose a question that affects the decision.
Add a prompt about choice, pricing, implementation, risk or comparison.
Add your website. TextRank scans the page, builds the context of your brand and product, then identifies buyer prompts worth auditing.
Choose the prompt that matters most. We compare the model answers and surfaced sources, then show the passage, missing evidence and change worth making first.
How can I make my landing page more likely to be cited by AI?
no answer about implementation
-11claim without supporting evidence
-6comparison without clear criteria
-5A prioritized plan: what to keep, what to rewrite, what to add and what to back with evidence.
Add a direct answer to the customer question at the start of the section.
State clearly what you offer, who it is for and which problem it solves.Name the product, audience, problem and outcome in the language used during the decision.
Keywords should clarify meaning, not become repetition targets.Add facts, examples, a table or FAQ where competitors answer better.
Every passage should make sense on its own.Four steps from a buyer question to the exact passage, the missing evidence and the next edit. One person can run all four, and the same trail is waiting the next time you audit.
Add a prompt about choice, pricing, implementation, risk or comparison.
We read the page passage by passage and mark the strong answers, plus the exact spots worth sharpening.
We compare Claude, GPT, Gemini and Grok answers and the pages they surface.
Every recommendation arrives with its prompt, passage, missing evidence and next action — ready to do or to delegate.
TextRank keeps one trail from the question and the source to the passage, the gap and the change worth making. Each model is reported separately, so you always know which answer you are improving.
Start with a question about selection, pricing, implementation, comparison or risk — one that can shape the buyer's next research step.
Separate passages that answer directly from those missing context, evidence or a clearly named entity.
Compare your page with the sources Claude, GPT, Gemini and Grok surface for the same prompt.
A priority list of what to keep, rewrite, add or back with evidence — ready to work through yourself or hand to the team.
Four elements that move you from an observation to a decision about a specific content change.
For your prompt: what each model answered, and which pages and companies it built that answer on. Model results stay separate.
Every passage scored for answer-first structure, entity clarity, fact density and whether it can be quoted without extra context.
The questions cited sources answer more completely, plus the entities, facts, tables and FAQ sections your page is missing.
Every recommendation carries a priority, its prompt and the rationale. Export to Markdown or PDF, implement it yourself, hand it to your team, or use it as context for further work in the AI tool of your choice.
Monitoring can show where competitors appear. TextRank connects the buyer prompt, model answer and surfaced source to the exact passage, missing evidence and next edit on your page.
Separate questions about choice, pricing, implementation and risk from topics that do not matter to your offer.
Compare the companies, publications and documentation Claude, GPT, Gemini and Grok surface for a specific prompt.
See the passage that is too vague, incomplete or difficult to use without extra context.
Decide what to keep, rewrite, add or back with evidence. Every recommendation keeps its prompt and rationale, so you can ship it yourself or pass it on.
Any claim your own material does not back is flagged before it ships. TextRank proposes the change, you decide what goes live.
Prompt, model, date and source set are saved. Publish, run the same audit again, and see exactly what moved.
No tiers, no negotiation, no hidden add-ons. Premium gives you the full buyer-prompt AI source audit. On-the-go credits are there for the weeks you want to check more prompts or more models.
The full trail from a buyer prompt to the exact change on your page.
You pay only for what you actually check.
One audit = one prompt checked in one model.
Set the number of credits in steps of 50. You see the price and how many audits that buys in each model.
Every audit runs on the strongest available model in each family — flagship GPT, Claude Sonnet and Opus, Gemini and Grok.
Direct answers for B2B SaaS teams that want to move from observing AI answers to making a justified change on their page.
TextRank helps you decide which buyer question and page passage to improve first. Instead of a generic score, you get a trail from the prompt, through the model answer and surfaced source, to a named gap and a recommended move: keep, revise, add evidence, create supporting content or park the topic.
A tracker can show whether your brand or a competitor appears in an answer. TextRank goes further: it compares a chosen prompt, the model answer and surfaced sources with specific passages on your page to show what is missing and what to change. It brings the otherwise scattered work across models, SEO tools, sources and briefs into one evidence-based decision trail.
You need a public page you can update and a question that matters to a buyer decision — for example, about selection, pricing, implementation, comparison, integrations or risk. It also helps to identify the person who can confirm facts, scope and limitations before changes are published.
For a selected prompt, you see the model answers, available sources, a comparison with your page, and the gaps in questions, facts, evidence, entities and format. The output ends with a prioritized change plan connected to the prompt, source and exact passage it applies to.
One person is enough to run the audit — whether you are a solopreneur, an SEO freelancer or a marketer. If you work with others, share the plan with a writer or product marketer to make the changes and a subject-matter expert to review facts and claims. The plan helps you focus on the questions and pages closest to a buying decision.
No. The plan distinguishes between improving an existing passage, adding missing evidence, creating a separate piece and parking a prompt. New content is appropriate only when the missing answer does not belong on the page being analyzed. Your team makes the final decision on scope and publication.
TextRank analyzes Claude, GPT, Gemini and Grok responses for a selected prompt. Results remain separated by model because an answer or source useful to one model may not be relevant to another. We also retain the prompt, model, date and source set with each result.
A buyer prompt is a question a prospect asks AI during research — for example, about selecting a solution, pricing, implementation, comparison, integrations or risk. TextRank can build a reasoned queue of such prompts from your page, brand, product and audience. Start with a question connected to a specific page and a decision your team wants to support.
You add a page and select a prompt. TextRank collects model answers and available surfaced sources, compares them with your content at the page, entity, claim and passage level, then identifies the gap and the prioritized next move. After implementing a change, you can run the same audit again and compare the observation before and after.
Choose a product page and a buyer question about selection, pricing, implementation or risk. See the model answers, the sources they surface and the first change worth making.